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1

Solar and Wind Energy Resource Assessment (SWERA) | Open Energy Information  

Open Energy Info (EERE)

Energy Resource Assessment (SWERA) Energy Resource Assessment (SWERA) Jump to: navigation, search SWERA logo.png Solar and Wind Energy Resource Assessment (SWERA) Interactive Web PortalPowered by OpenEI Getting Started Data Sets Analysis Tools About SWERA Tool Summary LAUNCH TOOL Name: Solar and Wind Energy Resource Assessment Agency/Company /Organization: United Nations Environment Programme Partner: National Renewable Energy Laboratory, German Aerospace Center (DLR), Risoe National Laboratory for Sustainable Energy, Brazil's National Institute for Space Research (INPE), State University of New York (SUNY), Technical University of Denmark (DTU), United Nations Environment Programme (UNEP), National Aeronautics and Space Administration, Global Environment Facility (GEF) Sector: Energy Focus Area: Solar, Wind

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SWERA/Solar Resource Information | Open Energy Information  

Open Energy Info (EERE)

Resource Information Resource Information < SWERA Jump to: navigation, search SWERA logo.png Solar and Wind Energy Resource Assessment (SWERA) Interactive Web PortalPowered by OpenEI Getting Started Data Sets Analysis Tools About SWERA Solar Resource Information SWERA solar products provide information on the solar resource at a specific location that is available for use by solar technologies. These products include maps and data of available solar resource, as well as documentation on the methodology employed to generate these solar resource estimates. The data products and resource maps are derived from models and satellite and global weather observations and do not contain site-specific measurement information. SWERA solar products are classified by the radiation components they describe. Applicability of the different

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Solar and Wind Energy Resource Assessment (SWERA) | Open Energy Information  

Open Energy Info (EERE)

Page Page Edit with form History Facebook icon Twitter icon » Solar and Wind Energy Resource Assessment (SWERA) (Redirected from SWERA) Jump to: navigation, search SWERA logo.png Solar and Wind Energy Resource Assessment (SWERA) Interactive Web PortalPowered by OpenEI Getting Started Data Sets Analysis Tools About SWERA Tool Summary LAUNCH TOOL Name: Solar and Wind Energy Resource Assessment Agency/Company /Organization: United Nations Environment Programme Partner: National Renewable Energy Laboratory, German Aerospace Center (DLR), Risoe National Laboratory for Sustainable Energy, Brazil's National Institute for Space Research (INPE), State University of New York (SUNY), Technical University of Denmark (DTU), United Nations Environment Programme (UNEP), National Aeronautics and Space Administration, Global Environment Facility (GEF)

4

Solar and Wind Energy Resource Assessment (SWERA)  

Open Energy Info (EERE)

Wiki Page Wiki Page Solar and Wind Energy Resource Assessment A United Nations Environment Programme facilitated effort. Getting Started Data Sets Analysis Tools About SWERA Loading.. Country Name Analyze Layer Data in OpenCarto View Country Profile in OpenEI Latitude Longitude Homer XML Get HOMER Data What am I seeing? This visualization shows international solar DNI, wind and climate resources. Click on one of the layer buttons below to view the resource layer. For more detailed information on each country, select the country by clicking it on the map below and then select 'View in OpenCarto' or 'View Country Page in OpenEI' to explore more data for that country. For HOMER, select a point to populate the latitude/longitude or provide your own, then press the button to send this information to HOMER.

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Solar and Wind Energy Resource Assessment (SWERA) - Bangladesh | OpenEI  

Open Energy Info (EERE)

(SWERA) - Bangladesh (SWERA) - Bangladesh Dataset Summary Description Reduction of global greenhouse gas emission to arrest global warming requires minimizing the use of fossil fuels. To achieve this a large scale use of renewable energies must be made over the globe for production of electrical and thermal energy. Success of wind and solar energy projects require detailed and precise information on the resources. For most developing countries adequate information on the resources are not available.UNEP supported by GEF has started a program to assess solar and wind resources for a number of countries including Bangladesh, China, Brazil, Nepal and Sri Lanka in the initial program.World resources of oil, gas and coal are limited and there is a global concern about this but for Bangladesh the situation appears to be extremely unhappy as per capita reserve of fossil fuels is only 1/50th to 1/100th of world per capita. A close look at Bangladesh energy scenario is presented before going to an overview of the results of resource assessments for wind and solar energy under the SWERA Program carried out for Bangladesh withRERC as the local partner. Data and maps for Bangladesh are available in the SWERA website. Details of assessment techniques and results will be presented in the following sections together with the possible applications of the resources.A spin-off from the SWERA Project is development of manpower trained at home and abroad in WAsP techniques, RETScreen and HOMER analyses and the capability development for using GIS Toolkit.NREL, RISOE and DLR produced modeled maps and data sets for Bangladesh and NREL developed the GIS Toolkit. RERC measured and collected ground data and standardized the maps and data sets.Mr. Tom Hamlin of UNEP who has been the project manager for SWERA activities always extended his helping hands to RERC which enabled the completion of the project.TERI has played a vital role as the Regional Coordinator.

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SWERA/Data | Open Energy Information  

Open Energy Info (EERE)

Data Data < SWERA Jump to: navigation, search SWERA logo.png Solar and Wind Energy Resource Assessment (SWERA) Data Sets Used in SWERAPowered by OpenEI Getting Started Data Sets Analysis Tools About SWERA GIS Data The underlying renewable energy information SWERA database is available to a user as GIS data. These data are distributed as shape file and image formats. Most open source and commercial GIS, internet mapping and image processing software can read these formats. The available data includes two sources of information: The underlying data from which the maps are comprised, which may also include information on seasonal and diurnal resource characteristics. These data can be incorporated directly into standard GIS software, and into many analytical tools that require resource data to simulate

7

SWERA/Getting Started | Open Energy Information  

Open Energy Info (EERE)

Getting Started Getting Started < SWERA Jump to: navigation, search SWERA logo.png Solar and Wind Energy Resource Assessment (SWERA) Getting StartedPowered by OpenEI Getting Started Data Sets Analysis Tools About SWERA How to use SWERA Users can start from the SWERA home page to assess renewable energy data available for their country. Begin by clicking on the SWERA icon next to "Getting Started" and then clicking on a geographic location of interest on the map displayed. Clicking a country on the map will present the user with the option to view that country's profile in OpenEI or open the OpenCarto GIS analysis tool, allowing the user to search, visualize and explore the data. The tool provides a legend display for data searching, meta data information, detailed resource information provision at click, temporal

8

SWERA | OpenEI  

Open Energy Info (EERE)

SWERA SWERA Dataset Summary Description Developed by NREL and the U.S. Trade and Development Agency, this geographic toolkit that allows users to relate the renewable energy resource (solar and wind) data to other geographic data, such as land use, protected areas, elevation, etc. The GsT was completely redesigned and re-released in November 2010 to provide a more modern, easier-to-use interface with considerably faster analytical querying capabilities. The revised version of the Geospatial Toolkit for Turkey is available using the following link: http://www.nrel.gov/international/downloads/gst_turkey.exe Source GeoModel Date Released March 31st, 2009 (5 years ago) Date Updated July 06th, 2012 (2 years ago) Keywords DNI GeoModel GHI GIS GsT NREL solar SWERA TILT

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SWERA/Analysis Tools | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » SWERA/Analysis Tools < SWERA Jump to: navigation, search SWERA logo.png Solar and Wind Energy Resource Assessment (SWERA) Analysis ToolsPowered by OpenEI Getting Started Data Sets Analysis Tools About SWERA OpenCarto OpenCarto houses the SWERA web based GIS application and provides the tools and data to support a variety of user communities in both small and large project planning, feasibility assessment, policy making, and decision support. The interface is designed to support collaboration across industries, geography, and research domains by providing interoperability

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Solar and Wind Energy Resource Assessment (SWERA) Data from the National Renewable Energy Library and the United Nations Environment Program (UNEP)  

DOE Data Explorer (OSTI)

The SWERA Programme provides easy access to credible renewable energy data to stimulate investment in, and development of, renewable energy technologies. The Solar and Wind Energy Resource Assessment (SWERA) started in 2001 to advance the large-scale use of renewable energy technologies by increasing the availability and accessibility of high-quality solar and wind resource information. SWERA began as a pilot project with funding from the Global Environment Facility (GEF) and managed by the United Nations Environment Programme's (UNEP) Division of Technology, Industry and Economics (DTIE) in collaboration with more than 25 partners around the world. With the success of the project in 13 pilot countries SWERA expanded in 2006 into a full programme. Its expanded mission is to provide high quality information on renewable energy resources for countries and regions around the world, along with the tools needed to apply these data in ways that facilitate renewable energy policies and investments.[from the SWERA Guide at http://swera.unep.net/index.php?id=sweraguide_chp1] DOE and, in particular, the National Renewable Energy Laboratory, has been a functioning partner from the beginning. NREL was part of the original technical team involved in mapping, database, and GIS activities. Solar, wind, and meteorological data for selected countries can be accessed through a variety of different tools and interfaces.

11

Kenya SWERA-Country Report.pdf  

Open Energy Info (EERE)

KENYA COUNTRY REPORT KENYA COUNTRY REPORT SOLAR AND WIND ENERGY RESOURCE ASSESSMENT Nairobi, 23 May 2008 i ii Disclaimer This report is a compilation of information relating to the Solar and Wind Energy Resource Assessment Project (SWERA) including data capturing and analysis, computation and mapping using GIS and other technologies to produce a national solar and wind atlases for Kenya. The contents of this report do not necessarily reflect the views of the United Nations Environment Programme, Government of Kenya, Practical Action or any other party or organizations and countries involved in the SWERA project. Any omissions or alteration of the intended meaning and discrepancies are highly regretted. Daniel Theuri Lead Implementer SWERA National Team Nairobi, 23 May 2008 iii ACKNOWLEDGMENTS

12

Solar and Wind Energy Resource Assessment (SWERA) - Bangladesh...  

Open Energy Info (EERE)

made over the globe for production of electrical and thermal energy. Success of wind and solar energy projects require detailed and precise information on the resources. For most...

13

UNEP/DTIE Solar and Wind Energy Resource Assessment (SWERA) Project  

Open Energy Info (EERE)

UNEP/DTIE Solar and Wind Energy Resource Assessment (SWERA) Project UNEP/DTIE Solar and Wind Energy Resource Assessment (SWERA) Project Document Dataset Summary Description (Abstract): This project will provide solar and wind resource data and geographic information assessment tools to public and private sector executives who are involved in energy market development. It will demonstrate the use of these instruments in investment and policy decision making and build local capacities for their continuous use. The project will enable private investors and public policy makers to assess the technical, economic and environmental potential for large-scale investments in technologies that enable the exploitation of two increasingly important sources of renewable energy. During this pilot project, tools for analysis and use of resource information will be developed, a global tx_metadatatool and review mechanism will be initiated, regional/national solar and wind resource maps generated and national assessment demonstrations performed. The overall goal is to promote the integration of wind and solar alternatives in national and regional energy planning and sector restructuring as well as related policy making. The project will enable informed decision making and enhance the ability of participating governments to attract increased investor interest in renewable energy. Thirteen countries will be directly involved in the pilot stage of the project. Global and regional maps will be available to all developing countries.

14

SWERA Information Sheet | OpenEI  

Open Energy Info (EERE)

Information Sheet Information Sheet Dataset Summary Description (Abstract): Project Overview As energy planners seek cleaner energy solutions using renewable energy technologies, the availability of reliable, accurate, and easily accessible solar and wind energy resource data is critical and can greatly accelerate the deployment of these technologies. The Solar and Wind Energy Resource Assessment (SWERA) is a pilot project designed to compile such data in 13 developing countries and to facilitate investments in solar and wind energy projects.With a US$9.3 million investment including US$6.8 million from the Global Environment Facility (GEF), SWERA is developing new informational tools for energy planners and project developers. These tools include regional and national maps of solar and wind energyresources and a geographical information system (GIS) that will allow easy access to the detailed information contained in these maps (see box right). These information tools can then be used to screen projects at their pre-investment planning stage.

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SWERA/About | Open Energy Information  

Open Energy Info (EERE)

About About < SWERA Jump to: navigation, search SWERA logo.png Solar and Wind Energy Resource Assessment (SWERA) About SWERAPowered by OpenEI Getting Started Data Sets Analysis Tools About SWERA About SWERA History The Solar and Wind Energy Resource Assessment (SWERA) started in 2001 to advance the large scale use of renewable energy technologies by increasing the availability and accessibility of high quality solar and wind resource information. SWERA began as a pilot project with funding from the Global Environment Facility (GEF) and managed by the United Nations Environment Programme's (UNEP) Division of Technology, Industry and Economics (DTIE) in collaboration with more than 25 partners around the world. With the success of the project in 13 pilot countries SWERA expanded in 2006 into a

16

Solar: annual and seasonal average global horizontal (GHI) GIS data  

Open Energy Info (EERE)

global horizontal (GHI) GIS data global horizontal (GHI) GIS data (contours) for Brazil from INPE and LABSOLAR Dataset Summary Description (Abstract): Annual and seasonal mean of Global Horizontal Solar Radiation in kWh/m2/day based on data from 1995 to 2002 (Purpose): To provide a set of consistent, reliable, verifiable, and accessible global data sets for international and in-country investors and other stakeholders (Supplemental Information): The cross-calibration process worked with data from 3 ground stations: Caicó (located in the Northeast of Brazil), Florianópolis (located in the South) and Balbina (located in Amazonia). These data have been used for validation and comparison of radiation transfer models operated in SWERA to estimate the incidence of solar radiation on the surface of the country from satellite images

17

SWERA Information Sheet (Abstract):Project...  

Open Energy Info (EERE)

wind energy resource data is critical and can greatly accelerate the deployment of these technologies. The Solar and Wind Energy Resource Assessment (SWERA) is a pilot project...

18

File:SWERA-254.pdf | Open Energy Information  

Open Energy Info (EERE)

Solar: monthly and annual latitude tilt horizontal GIS data at 40km resolution for Nepal from NREL Solar: monthly and annual latitude tilt horizontal GIS data at 40km resolution for Nepal from NREL Size of this preview: 776 × 600 pixels. Full resolution ‎(1,650 × 1,275 pixels, file size: 240 KB, MIME type: application/pdf) Title Monthly Average Solar Resource for flat-plate collectors tilted at latitude for Nepal. Description Solar: monthly and annual latitude tilt horizontal GIS data at 40km resolution for Nepal from NREL Sources National Renewable Energy Laboratory Related Technologies Solar Creation Date 2005-04-12 Extent International Countries Nepal UN Region Southern Asia External links http://swera.unep.net/index.php?id=35&idx=254 File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment

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File:SWERA-202.pdf | Open Energy Information  

Open Energy Info (EERE)

global horizontal (GHI) GIS data at 40km resolution for Sri Lanka from NREL global horizontal (GHI) GIS data at 40km resolution for Sri Lanka from NREL Size of this preview: 776 × 600 pixels. Full resolution ‎(1,650 × 1,275 pixels, file size: 863 KB, MIME type: application/pdf) Title Monthly Average Solar Resource for horizontal flat-plate collectors, for Sri Lanka Description Solar: monthly and annual average global horizontal (GHI) GIS data at 40km resolution for Sri Lanka from NREL Sources National Renewable Energy Laboratory Related Technologies Solar Creation Date 2004-07-01 Extent International Countries Sri Lanka UN Region Southern Asia External links http://swera.unep.net/index.php?id=35&idx=202 File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment

20

File:SWERA-246.pdf | Open Energy Information  

Open Energy Info (EERE)

monthly direct normal (DNI) GIS data at 40km resolution for Bangladesh from NREL monthly direct normal (DNI) GIS data at 40km resolution for Bangladesh from NREL Size of this preview: 776 × 600 pixels. Full resolution ‎(1,650 × 1,275 pixels, file size: 249 KB, MIME type: application/pdf) Title Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Bangladesh. Description Solar: monthly direct normal (DNI) GIS data at 40km resolution for Bangladesh from NREL Sources National Renewable Energy Laboratory Related Technologies Solar Creation Date 2005-04-12 Extent International Countries Bangladesh UN Region Southern Asia External links http://swera.unep.net/index.php?id=35&idx=246 File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment

Note: This page contains sample records for the topic "gis solar swera" 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

File:SWERA-214.pdf | Open Energy Information  

Open Energy Info (EERE)

.pdf .pdf Jump to: navigation, search File File history File usage Solar: annual average global horizontal (GHI) GIS data at 10km resolution for Cuba from SUNY Size of this preview: 776 × 600 pixels. Full resolution ‎(1,650 × 1,275 pixels, file size: 390 KB, MIME type: application/pdf) Title Monthly Average Solar Resource for horizontal flat-plate solar collectors for Cuba Description Solar: annual average global horizontal (GHI) GIS data at 10km resolution for Cuba from SUNY Sources University at Albany, SUNY Related Technologies Solar Creation Date 2004-10-07 Extent International Countries Cuba UN Region Caribbean External links http://swera.unep.net/index.php?id=35&idx=214 File history Click on a date/time to view the file as it appeared at that time.

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File:SWERA-212.pdf | Open Energy Information  

Open Energy Info (EERE)

.pdf .pdf Jump to: navigation, search File File history File usage Solar: monthly global horizontal (GHI) GIS data at 10km resolution for Central America from SUNY Size of this preview: 776 × 600 pixels. Full resolution ‎(1,650 × 1,275 pixels, file size: 665 KB, MIME type: application/pdf) Title Monthly Average Solar Resource for horizontal flat-plate solar collectors for Central America Description Solar: monthly global horizontal (GHI) GIS data at 10km resolution for Central America from SUNY Sources University at Albany, SUNY Related Technologies Solar Creation Date 2004-10-07 Extent Regional Regions Central America External links http://swera.unep.net/index.php?id=35&idx=212 File history Click on a date/time to view the file as it appeared at that time.

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File:SWERA-201.pdf | Open Energy Information  

Open Energy Info (EERE)

pdf pdf Jump to: navigation, search File File history File usage Solar: monthly and annual average direct normal (DNI) GIS data at 40km for Sri Lanka from NREL Size of this preview: 776 × 600 pixels. Full resolution ‎(1,650 × 1,275 pixels, file size: 864 KB, MIME type: application/pdf) Title Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Sri Lanka Description Solar: monthly and annual average direct normal (DNI) GIS data at 40km for Sri Lanka from NREL Sources National Renewable Energy Laboratory Related Technologies Solar Creation Date 2004-07-01 Extent International Countries Sri Lanka UN Region Southern Asia External links http://swera.unep.net/index.php?id=35&idx=201 File history Click on a date/time to view the file as it appeared at that time.

24

File:SWERA-248.pdf | Open Energy Information  

Open Energy Info (EERE)

pdf pdf Jump to: navigation, search File File history File usage Solar: monthly latitude tilt GIS data at 40km resolution for Bangladesh from NREL Size of this preview: 776 × 600 pixels. Full resolution ‎(1,650 × 1,275 pixels, file size: 248 KB, MIME type: application/pdf) Title Monthly Average Solar Resource for flat-plate collectors tilted at latitude for Bangladesh. Description Solar: monthly latitude tilt GIS data at 40km resolution for Bangladesh from NREL Sources National Renewable Energy Laboratory Related Technologies Solar Creation Date 2005-04-12 Extent International Countries Bangladesh UN Region Southern Asia External links http://swera.unep.net/index.php?id=35&idx=248 File history Click on a date/time to view the file as it appeared at that time.

25

Solar: annual and seasonal average latitude tilt GIS data (contours) for  

Open Energy Info (EERE)

latitude tilt GIS data (contours) for latitude tilt GIS data (contours) for Brazil from INPE and LABSOLAR Dataset Summary Description (Abstract): Annual and seasonal mean of Latitude Tilt Solar Radiation in kWh/m2/day based on data from 1995 to 2002 (Purpose): To provide a set of consistent, reliable, verifiable, and accessible global data sets for international and in-country investors and other stakeholders (Supplemental Information): The cross-calibration process worked with data from 3 ground stations: Caicó (located in the Northeast of Brazil), Florianópolis (located in the South) and Balbina (located in Amazonia). These data have been used for validation and comparison of radiation transfer models operated in SWERA to estimate the incidence of solar radiation on the surface of the country from satellite images

26

Solar: annual and seasonal average direct normal (DNI) GIS data (contours)  

Open Energy Info (EERE)

direct normal (DNI) GIS data (contours) direct normal (DNI) GIS data (contours) for Brazil from INPE and LABSOLAR Dataset Summary Description (Abstract): Annual and seasonal mean of Direct Normal Solar Radiation in kWh/m2/day based on data from 1995 to 2002 (Purpose): To provide a set of consistent, reliable, verifiable, and accessible global data sets for international and in-country investors and other stakeholders (Supplemental Information): The cross-calibration process worked with data from 3 ground stations: Caicó (located in the Northeast of Brazil), Florianópolis (located in the South) and Balbina (located in Amazonia). These data have been used for validation and comparison of radiation transfer models operated in SWERA to estimate the incidence of solar radiation on the surface of the country from satellite images obtained from 1995 to 2002

27

National Renewable Energy Report for SWERA: Ghana (Abstract...  

Open Energy Info (EERE)

Renewable Energy Report for SWERA: Ghana (Abstract):The National Renewable Energy Report describes the energy situation in Ghana and identifies solar and wind...

28

SWERA/Wind Resource Information | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » SWERA/Wind Resource Information < SWERA Jump to: navigation, search SWERA logo.png Solar and Wind Energy Resource Assessment (SWERA) Interactive Web PortalPowered by OpenEI Getting Started Data Sets Analysis Tools About SWERA Wind Resource Information SWERA wind products provide estimates of how much wind resource is available at potential development sites. SWERA wind resources are depicted as average wind speed (meters per second) or wind power density (watts per square meter) at a specified height above the ground (nominally 50 m). These are derived from models and satellite and global weather observations

29

Solar: monthly and annual average global horizontal (GHI) GIS data at 10km  

Open Energy Info (EERE)

Ethiopia from DLR Ethiopia from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Global Horizontal Irradiance (GHI) for Ethiopia for the years 2000, 2001 and 2002. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the documentation file for additional information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. 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 Ethiopia GEF GHI GIS solar SWERA UNEP Data application/zip icon Download Shapefile (zip, 2.8 MiB) text/csv icon Download Data (csv, 5.6 MiB)

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Solar: monthly and annual average global horizontal (GHI) GIS data at 10km  

Open Energy Info (EERE)

Nepal from DLR Nepal from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Global Horizontal Irradiance (GHI) for Nepal for the years 2000, 2002 and 2003. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the country report for additional information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. 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 GEF GHI GIS Nepal solar SWERA UNEP Data application/zip icon Download Shapefile (zip, 593.8 KiB) text/csv icon Download Data (csv, 1.2 MiB)

31

Solar: monthly and annual average global horizontal (GHI) GIS data at 10km  

Open Energy Info (EERE)

Sri Lanka from DLR Sri Lanka from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Global Horizontal Irradiance (GHI) for Sri Lanka for the years 2000, 2002 and 2003. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the country report for additional information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. 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 GHI GIS solar Sri Lanka SWERA UNEP Data text/csv icon Download Data (csv, 296.1 KiB) application/zip icon Download Shapefile (zip, 153.7 KiB)

32

Solar: monthly and annual average direct normal (DNI) GIS data at 10km  

Open Energy Info (EERE)

China from DLR China from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Direct Normal Irradiance (DNI) for China for the years 2000, 2002 and 2003. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the country report for additional background information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. 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 CRED CREIA DLR DNI GEF GIS solar SWERA UNEP Data text/csv icon Download Data (csv, 8.8 MiB) application/zip icon Download Shapefile (zip, 4.4 MiB)

33

Solar: monthly global horizontal (GHI) GIS data at 10km resolution for  

Open Energy Info (EERE)

Bangladesh from DLR Bangladesh from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Global Horizontal Irradiance (GHI) for Bangladesh for the years 2000, 2002 and 2003. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the country report for additional information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. 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 GEF GHI GIS solar SWERA UNEP Data text/csv icon Download Data (csv, 916.5 KiB) application/zip icon Download Shapefile (zip, 479.3 KiB)

34

Solar: monthly and annual average direct normal (DNI) GIS data at 10km  

Open Energy Info (EERE)

Sri Lanka from DLR Sri Lanka from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Direct Normal Irradiance (DNI) for Sri Lanka for the years 2000, 2002 and 2003. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the country report for additional background information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. 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 GIS solar Sri Lanka SWERA UNEP Data application/zip icon Download Shapefile (zip, 155.1 KiB) text/csv icon Download Data (csv, 295.7 KiB)

35

Solar: monthly and annual average global horizontal (GHI) GIS data at 10km  

Open Energy Info (EERE)

Kenya from DLR Kenya from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Global Horizontal Irradiance (GHI) for Kenya for the years 2000, 2001 and 2002. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the documentation file for additional information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. 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 GEF GHI GIS Kenya NREL solar SWERA UNEP Data application/zip icon Download Shapefile (zip, 1.3 MiB) text/csv icon Download Data (csv, 2.5 MiB)

36

Solar: monthly and annual average direct normal (DNI) GIS data at 10km  

Open Energy Info (EERE)

Kenya from DLR Kenya from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Direct Normal Irradiance (DNI) for Kenya for the years 2000, 2001 and 2002. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the country report for additional background information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. 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 GIS Kenya solar SWERA UNEP Data text/csv icon Download Data (csv, 2.5 MiB) application/zip icon Download Shapefile (zip, 1.3 MiB)

37

Solar: monthly and annual average global horizontal (GHI) GIS data at 10km  

Open Energy Info (EERE)

West China from DLR West China from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Global Horizontal Irradiance (GHI) for China for the years 2000, 2002 and 2003. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the country report for additional information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. 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 CRED CREIA DLR GHI GIS solar SWERA UNEP Data application/zip icon Download Shapefile (zip, 4.4 MiB) text/csv icon Download Data (csv, 8.9 MiB)

38

Solar: monthly and annual average global horizontal (GHI) GIS data at 10km  

Open Energy Info (EERE)

Ghana from DLR Ghana from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Global Horizontal Irradiance (GHI) for Ghana for the years 2000, 2001 and 2002. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the documentation file for additional information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. 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 Ghana GHI GIS solar SWERA UNEP Data application/zip icon Download Shapefile (zip, 504 KiB) text/csv icon Download Data (csv, 1 MiB)

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Solar: monthly and annual average direct normal (DNI) GIS data at 10km  

Open Energy Info (EERE)

Nepal from DLR Nepal from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Direct Normal Irradiance (DNI) for Nepal for the years 2000, 2002 and 2003. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the country report for additional background information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. 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 GIS Nepal solar SWERA UNEP Data text/csv icon Download Data (csv, 1.2 MiB) application/zip icon Download Shapefile (zip, 600.4 KiB)

40

UNEP/DTIE Solar and Wind Energy Resource Assessment (SWERA) Project  

Open Energy Info (EERE)

b>This project will provide solar and wind resource data and geographic information assessment tools to public and private sector executives who are involved in energy...

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


41

SWERA/TMY Resource Information | Open Energy Information  

Open Energy Info (EERE)

TMY Resource Information TMY Resource Information < SWERA Jump to: navigation, search SWERA logo.png Solar and Wind Energy Resource Assessment (SWERA) Interactive Web PortalPowered by OpenEI Getting Started Data Sets Analysis Tools About SWERA TMY Resource Information Example of TMY Map Hourly Solar and Typical Meteorological Year (TMY) data are available for certain stations in select countries. These data sets provide hourly values of solar radiation and other meteorological elements for a typical 1-year period. Their intended use is for computer simulations of solar energy conversion systems and building systems to facilitate performance comparisons of different system types. Additional TMY data sets are available from the EnergyPlus web site. Retrieved from "http://en.openei.org/w/index.php?title=SWERA/TMY_Resource_Information&oldid=373620

42

File:SWERA-203.pdf | Open Energy Information  

Open Energy Info (EERE)

latitude tilt GIS data at 40km for Sri Lanka from NREL latitude tilt GIS data at 40km for Sri Lanka from NREL Size of this preview: 776 × 600 pixels. Full resolution ‎(1,650 × 1,275 pixels, file size: 861 KB, MIME type: application/pdf) Title Monthly Average Solar Resource for flat-plate collectors tilted at latitude for Sri Lanka. Description Solar: monthly and annual average latitude tilt GIS data at 40km for Sri Lanka from NREL Sources National Renewable Energy Laboratory Related Technologies Solar Creation Date 2004-07-01 Extent International Countries Sri Lanka UN Region Southern Asia External links http://swera.unep.net/index.php?id=35&idx=203 File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 12:25, 29 December 2010 Thumbnail for version as of 12:25, 29 December 2010 1,650 × 1,275 (861 KB) MapBot (Talk | contribs) Automated bot upload

43

File:SWERA-253.pdf | Open Energy Information  

Open Energy Info (EERE)

global horizontal (GHI) GIS data at 40km resolution for Nepal from NREL global horizontal (GHI) GIS data at 40km resolution for Nepal from NREL Size of this preview: 776 × 600 pixels. Full resolution ‎(1,650 × 1,275 pixels, file size: 242 KB, MIME type: application/pdf) Title Monthly average solar resource for horizontal flat-plate collectors for Nepal. Description Solar: monthly and annual average global horizontal (GHI) GIS data at 40km resolution for Nepal from NREL Sources National Renewable Energy Laboratory Related Technologies Solar Creation Date 2005-04-12 Extent International Countries Nepal UN Region Southern Asia External links http://swera.unep.net/index.php?id=35&idx=253 File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 12:28, 29 December 2010 Thumbnail for version as of 12:28, 29 December 2010 1,650 × 1,275 (242 KB) MapBot (Talk | contribs) Automated bot upload

44

File:SWERA-252.pdf | Open Energy Information  

Open Energy Info (EERE)

direct normal (DNI) GIS data at 40km resolution for Nepal from NREL direct normal (DNI) GIS data at 40km resolution for Nepal from NREL Size of this preview: 776 × 600 pixels. Full resolution ‎(1,650 × 1,275 pixels, file size: 243 KB, MIME type: application/pdf) Title Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Nepal. Description Solar: monthly and annual average direct normal (DNI) GIS data at 40km resolution for Nepal from NREL Sources National Renewable Energy Laboratory Related Technologies Solar Creation Date 2005-04-12 Extent International Countries Nepal UN Region Southern Asia External links http://swera.unep.net/index.php?id=35&idx=252 File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 12:28, 29 December 2010 Thumbnail for version as of 12:28, 29 December 2010 1,650 × 1,275 (243 KB) MapBot (Talk | contribs) Automated bot upload

45

File:SWERA-211.pdf | Open Energy Information  

Open Energy Info (EERE)

direct normal (DNI) GIS data at 10km resolution for Central America from SUNY direct normal (DNI) GIS data at 10km resolution for Central America from SUNY Size of this preview: 776 × 600 pixels. Full resolution ‎(1,650 × 1,275 pixels, file size: 672 KB, MIME type: application/pdf) Title Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Central America Description Solar: monthly direct normal (DNI) GIS data at 10km resolution for Central America from SUNY Sources University at Albany, SUNY Related Technologies Solar Creation Date 2004-10-07 Extent Regional Regions Central America External links http://swera.unep.net/index.php?id=35&idx=211 File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 12:25, 29 December 2010 Thumbnail for version as of 12:25, 29 December 2010 1,650 × 1,275 (672 KB) MapBot (Talk | contribs) Automated bot upload

46

File:SWERA-247.pdf | Open Energy Information  

Open Energy Info (EERE)

global horizontal (GHI) GIS data at 40km resolution for Bangladesh from NREL global horizontal (GHI) GIS data at 40km resolution for Bangladesh from NREL Size of this preview: 776 × 600 pixels. Full resolution ‎(1,650 × 1,275 pixels, file size: 250 KB, MIME type: application/pdf) Title Monthly average solar resource for horizontal flat-plate collectors for Bangladesh. Description Solar: monthly global horizontal (GHI) GIS data at 40km resolution for Bangladesh from NREL Sources National Renewable Energy Laboratory Related Technologies Solar Creation Date 2005-04-12 Extent International Countries Bangladesh UN Region Southern Asia External links http://swera.unep.net/index.php?id=35&idx=247 File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 12:27, 29 December 2010 Thumbnail for version as of 12:27, 29 December 2010 1,650 × 1,275 (250 KB) MapBot (Talk | contribs) Automated bot upload

47

File:SWERA-213.pdf | Open Energy Information  

Open Energy Info (EERE)

annual average direct normal (DNI) GIS data at 10km resolution for Cuba from SUNY annual average direct normal (DNI) GIS data at 10km resolution for Cuba from SUNY Size of this preview: 776 × 600 pixels. Full resolution ‎(1,650 × 1,275 pixels, file size: 391 KB, MIME type: application/pdf) Title Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Cuba Description Solar: annual average direct normal (DNI) GIS data at 10km resolution for Cuba from SUNY Sources University at Albany, SUNY Related Technologies Solar Creation Date 2004-10-07 Extent International Countries Cuba UN Region Caribbean External links http://swera.unep.net/index.php?id=35&idx=213 File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 12:26, 29 December 2010 Thumbnail for version as of 12:26, 29 December 2010 1,650 × 1,275 (391 KB) MapBot (Talk | contribs) Automated bot upload

48

SWERA borrador051110  

Open Energy Info (EERE)

informe nacional informe nacional GEF MEM DGE Preparado por: Ing. Norbert Bons Borrador 14-11-05 SWERA borrador 14-11-2005 1 2 MEM DGE - Fundación Solar Contenido Prefacio 5 Resumen ejecutivo 6 Introducción 7 Datos socioeconómicos 7 Geografía y clima de Guatemala 7 Las energías renovables en Guatemala 9 La situación energética del país 13 Balance de energía de Guatemala 13 Marco institucional del sub-sector eléctrico 14 Ministerio de Energía y Minas 14 Comisión Nacional de Energía 15 Administrador del Mercado Mayorista 15 Autoridad designada para los créditos de carbono 16 Marco regulatorio del sub-sector eléctrico 16 Ley general de electricidad 17 Ley de incentivos para el desarrollo de proyectos de energía renovable 17 Sistema eléctrico 17 Generación 17 Transporte 18 Distribución 19 Mercado eléctrico

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Integrated: Geospatial Toolkit GIS data for Brazil from NREL | OpenEI  

Open Energy Info (EERE)

Brazil from NREL Brazil from NREL Dataset Summary Description (Abstract): Geographic Information Systems (GIS) data intended for use in the Geospatial toolkit or with any GIS software. (Purpose): The Solar and Wind Energy Resource Assessment (SWERA) Geospatial Toolkit (GsT) is a map-based software application that can be used for decision making and policy analysis in addition to planning for future energy projects. The SWERA application utilizes Geographical Information Systems (GIS) to develop common scenarios to evaluate potential locations for solar or wind energy plants. (Supplemental Information): The zip file contains the available geospatial toolkit data and metadata. Each country's data package depends on the data provided by the SWERA partners. ---------------------------------------------------------

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Integrated: Geospatial Toolkit GIS data for Honduras from NREL | OpenEI  

Open Energy Info (EERE)

Honduras from NREL Honduras from NREL Dataset Summary Description (Abstract): Geographic Information Systems (GIS) data intended for use in the Geospatial toolkit or with any GIS software.(Purpose): The Solar and Wind Energy Resource Assessment (SWERA) Geospatial Toolkit (GsT) is a map-based software application that can be used for decision making and policy analysis in addition to planning for future energy projects. The SWERA application utilizes Geographical Information Systems (GIS) to develop common scenarios to evaluate potential locations for solar or wind energy plants. (Supplemental Information): The zip file contains the available geospatial toolkit data and metadata. Each country's data package depends on the data provided by the SWERA partners. ---------------------------------------------------------

51

Integrated: Geospatial Toolkit GIS data for Sri Lanka from NREL | OpenEI  

Open Energy Info (EERE)

Sri Lanka from NREL Sri Lanka from NREL Dataset Summary Description (Abstract): Geographic Information Systems (GIS) data intended for use in the Geospatial toolkit or with any GIS software. (Purpose): The Solar and Wind Energy Resource Assessment (SWERA) Geospatial Toolkit (GsT) is a map-based software application that can be used for decision making and policy analysis in addition to planning for future energy projects. The SWERA application utilizes Geographical Information Systems (GIS) to develop common scenarios to evaluate potential locations for solar or wind energy plants. (Supplemental Information): The zip file contains the available geospatial toolkit data and metadata. Each country's data package depends on the data provided by the SWERA partners. ---------------------------------------------------------

52

Integrated: Geospatial Toolkit GIS data for Ghana from NREL | OpenEI  

Open Energy Info (EERE)

Ghana from NREL Ghana from NREL Dataset Summary Description (Abstract): Geographic Information Systems (GIS) data intended for use in the Geospatial toolkit or with any GIS software. (Purpose): The Solar and Wind Energy Resource Assessment (SWERA) Geospatial Toolkit (GsT) is a map-based software application that can be used for decision making and policy analysis in addition to planning for future energy projects. The SWERA application utilizes Geographical Information Systems (GIS) to develop common scenarios to evaluate potential locations for solar or wind energy plants. (Supplemental Information): The zip file contains the available geospatial toolkit data and metadata. Each country's data package depends on the data provided by the SWERA partners. ---------------------------------------------------------

53

Integrated: Geospatial Toolkit GIS data for Guatemala from NREL | OpenEI  

Open Energy Info (EERE)

Guatemala from NREL Guatemala from NREL Dataset Summary Description (Abstract): Geographic Information Systems (GIS) data intended for use in the Geospatial toolkit or with any GIS software. (Purpose): The Solar and Wind Energy Resource Assessment (SWERA) Geospatial Toolkit (GsT) is a map-based software application that can be used for decision making and policy analysis in addition to planning for future energy projects. The SWERA application utilizes Geographical Information Systems (GIS) to develop common scenarios to evaluate potential locations for solar or wind energy plants. (Supplemental Information): The zip file contains the available geospatial toolkit data and metadata. Each country's data package depends on the data provided by the SWERA partners. ---------------------------------------------------------

54

Integrated: Geospatial Toolkit GIS data for China from NREL | OpenEI  

Open Energy Info (EERE)

China from NREL China from NREL Dataset Summary Description (Abstract): Geographic Information Systems (GIS) data intended for use in the Geospatial toolkit or with any GIS software. (Purpose): The Solar and Wind Energy Resource Assessment (SWERA) Geospatial Toolkit (GsT) is a map-based software application that can be used for decision making and policy analysis in addition to planning for future energy projects. The SWERA application utilizes Geographical Information Systems (GIS) to develop common scenarios to evaluate potential locations for solar or wind energy plants. (Supplemental Information): The zip file contains the available geospatial toolkit data and metadata. Each country's data package depends on the data provided by the SWERA partners. ---------------------------------------------------------

55

Integrated: Geospatial Toolkit GIS data for El Salvador from NREL | OpenEI  

Open Energy Info (EERE)

El Salvador from NREL El Salvador from NREL Dataset Summary Description (Abstract): Geographic Information Systems (GIS) data intended for use in the Geospatial toolkit or with any GIS software. (Purpose): The Solar and Wind Energy Resource Assessment (SWERA) Geospatial Toolkit (GsT) is a map-based software application that can be used for decision making and policy analysis in addition to planning for future energy projects. The SWERA application utilizes Geographical Information Systems (GIS) to develop common scenarios to evaluate potential locations for solar or wind energy plants. (Supplemental Information): The zip file contains the available geospatial toolkit data and metadata. Each country's data package depends on the data provided by the SWERA partners. ---------------------------------------------------------

56

Integrated: Geospatial Toolkit GIS data for Bangladesh from NREL | OpenEI  

Open Energy Info (EERE)

Bangladesh from NREL Bangladesh from NREL Dataset Summary Description (Abstract): Geographic Information Systems (GIS) data intended for use in the Geospatial toolkit or with any GIS software. (Purpose): The Solar and Wind Energy Resource Assessment (SWERA) Geospatial Toolkit (GsT) is a map-based software application that can be used for decision making and policy analysis in addition to planning for future energy projects. The SWERA application utilizes Geographical Information Systems (GIS) to develop common scenarios to evaluate potential locations for solar or wind energy plants. (Supplemental Information): The zip file contains the available geospatial toolkit data and metadata. Each country's data package depends on the data provided by the SWERA partners. ---------------------------------------------------------

57

Integrated: Geospatial Toolkit GIS data for Nicaragua from NREL | OpenEI  

Open Energy Info (EERE)

Nicaragua from NREL Nicaragua from NREL Dataset Summary Description (Abstract): Geographic Information Systems (GIS) data intended for use in the Geospatial toolkit or with any GIS software. (Purpose): The Solar and Wind Energy Resource Assessment (SWERA) Geospatial Toolkit (GsT) is a map-based software application that can be used for decision making and policy analysis in addition to planning for future energy projects. The SWERA application utilizes Geographical Information Systems (GIS) to develop common scenarios to evaluate potential locations for solar or wind energy plants. (Supplemental Information): The zip file contains the available geospatial toolkit data and metadata. Each country's data package depends on the data provided by the SWERA partners. ---------------------------------------------------------

58

Integrated: Geospatial Toolkit GIS data for Kenya from NREL | OpenEI  

Open Energy Info (EERE)

Kenya from NREL Kenya from NREL Dataset Summary Description (Abstract): Geographic Information Systems (GIS) data intended for use in the Geospatial toolkit or with any GIS software. (Purpose): The Solar and Wind Energy Resource Assessment (SWERA) Geospatial Toolkit (GsT) is a map-based software application that can be used for decision making and policy analysis in addition to planning for future energy projects. The SWERA application utilizes Geographical Information Systems (GIS) to develop common scenarios to evaluate potential locations for solar or wind energy plants. (Supplemental Information): The zip file contains the available geospatial toolkit data and metadata. Each country's data package depends on the data provided by the SWERA partners. ---------------------------------------------------------

59

Integrated: Geospatial Toolkit GIS data for Cuba from NREL | OpenEI  

Open Energy Info (EERE)

Cuba from NREL Cuba from NREL Dataset Summary Description (Abstract): Geographic Information Systems (GIS) data intended for use in the Geospatial toolkit or with any GIS software. (Purpose): The Solar and Wind Energy Resource Assessment (SWERA) Geospatial Toolkit (GsT) is a map-based software application that can be used for decision making and policy analysis in addition to planning for future energy projects. The SWERA application utilizes Geographical Information Systems (GIS) to develop common scenarios to evaluate potential locations for solar or wind energy plants. (Supplemental Information): The zip file contains the available geospatial toolkit data and metadata. Each country's data package depends on the data provided by the SWERA partners. ---------------------------------------------------------

60

Integrated: Geospatial Toolkit GIS data for Ethiopia from NREL | OpenEI  

Open Energy Info (EERE)

Ethiopia from NREL Ethiopia from NREL Dataset Summary Description (Abstract): Geographic Information Systems (GIS) data intended for use in the Geospatial toolkit or with any GIS software.(Purpose): The Solar and Wind Energy Resource Assessment (SWERA) Geospatial Toolkit (GsT) is a map-based software application that can be used for decision making and policy analysis in addition to planning for future energy projects. The SWERA application utilizes Geographical Information Systems (GIS) to develop common scenarios to evaluate potential locations for solar or wind energy plants. (Supplemental Information): The zip file contains the available geospatial toolkit data and metadata. Each country's data package depends on the data provided by the SWERA partners. ---------------------------------------------------------

Note: This page contains sample records for the topic "gis solar swera" 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

Integrated: Geospatial Toolkit GIS data for Nepal from NREL | OpenEI  

Open Energy Info (EERE)

Nepal from NREL Nepal from NREL Dataset Summary Description (Abstract): Geographic Information Systems (GIS) data intended for use in the Geospatial toolkit or with any GIS software. (Purpose): The Solar and Wind Energy Resource Assessment (SWERA) Geospatial Toolkit (GsT) is a map-based software application that can be used for decision making and policy analysis in addition to planning for future energy projects. The SWERA application utilizes Geographical Information Systems (GIS) to develop common scenarios to evaluate potential locations for solar or wind energy plants. (Supplemental Information): The zip file contains the available geospatial toolkit data and metadata. Each country's data package depends on the data provided by the SWERA partners.To access the Geospatial toolkit, http://www.nrel.gov/international/geospatial_toolkits.html

62

SWERA/Climate Layers Information | Open Energy Information  

Open Energy Info (EERE)

Climate Layers Information Climate Layers Information < SWERA Jump to: navigation, search SWERA logo.png Solar and Wind Energy Resource Assessment (SWERA) Interactive Web PortalPowered by OpenEI Getting Started Data Sets Analysis Tools About SWERA Climate Layers The climate layers are derived from data provided by NASA's Prediction of Worldwide Energy Resource (POWER) project derived from NASA's climate research to support renewable energy industries. The Surface meteorology and Solar Energy (SSE) data set contains solar parameters principally derived from satellite observations and meteorology parameters from an atmospheric model constrained to satellite and sounding observations. It is a 22-year climatology (July 1983- June 2005) on a one-degree latitude by one-degree longitude grid. The global coverage of the SSE data set fills

63

SWERA Bangladesh | OpenEI  

Open Energy Info (EERE)

89 89 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142278389 Varnish cache server SWERA Bangladesh Dataset Summary Description Reduction of global greenhouse gas emission to arrest global warming requires minimizing the use of fossil fuels. To achieve this a large scale use of renewable energies must be made over the globe for production of electrical and thermal energy. Success of wind and solar energy projects require detailed and precise information on the resources. For most developing countries adequate information on the resources are not available. Source Renewable Energy Research Centre, University of Dhaka Date Released February 19th, 2007 (7 years ago)

64

File:SWERA-153.pdf | Open Energy Information  

Open Energy Info (EERE)

SWERA-153.pdf SWERA-153.pdf Jump to: navigation, search File File history File usage Solar: monthly average latitude tilt map at 40km resolution for Central America from NREL Size of this preview: 776 × 600 pixels. Full resolution ‎(1,650 × 1,275 pixels, file size: 1.31 MB, MIME type: application/pdf) Title A map depicting model estimates of monthly average daily total radiation using inputs derived from satellite and surface observations of cloud cover, Description Solar: monthly average latitude tilt map at 40km resolution for Central America from NREL Sources National Renewable Energy Laboratory Related Technologies Solar Creation Date 2003-12-11 Extent Regional Regions Central America External links http://swera.unep.net/index.php?id=35&idx=153 File history

65

National Renewable Energy Report for SWERA: Ghana | OpenEI  

Open Energy Info (EERE)

Report for SWERA: Ghana Report for SWERA: Ghana Dataset Summary Description (Abstract): The National Renewable Energy Report describes the energy situation in Ghana and identifies solar and wind energy opportunities. (Purpose): To promote solar and wind energy investments. Source Ghana Energy Commission Date Released September 02nd, 2005 (9 years ago) Date Updated November 07th, 2007 (7 years ago) Keywords documentation Ghana renewable energy solar SWERA UNEP wind Data application/msword icon Download Document (doc, 1.2 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2005 License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset

66

NREL GIS Data: Hawaii Low Resolution Photovoltaic Solar Resource...  

Open Energy Info (EERE)

April 01st, 2011 (3 years ago) Keywords GIS hawaii NREL photovoltaic shapefile solar Data applicationzip icon Shapefile (zip, 1.2 MiB) Metadata Metadata accessible through...

67

Cross Validation of Satellite Radiation Transfer Models during SWERA  

Open Energy Info (EERE)

Cross Validation of Satellite Radiation Transfer Models during SWERA Cross Validation of Satellite Radiation Transfer Models during SWERA Project in Brazil Dataset Summary Description (Abstract): This work describes the cross validation between two different core radiation transfer models that will be applied during the SWERA (Solar and Wind Energy Assessment): the BRAZIL-SR, and the SUNY-Albany. The model cross validation was performed by using two reference sites in Brazil: at Caicó (06°28'01"S - 037°05'05"W,175.8 m), and Florianópolis (27°34'18"S - 048°31'42"W, 10 m), Satellite data were collected by INPE-CPTEC for GOES-8, that also provides for its quality assessment, sectoring, storing and distribution to the participating teams. In this work we show the first results of this cross-validation along with some discussions on model deviations

68

Cross-Validation of SWERA's Core Radiative Transfer Models - Partial Report  

Open Energy Info (EERE)

Cross-Validation of SWERA's Core Radiative Transfer Models - Partial Report Cross-Validation of SWERA's Core Radiative Transfer Models - Partial Report Dataset Summary Description (Abstract): This partial report describes the results obtained by two of the core radiative transfer models adopted in the SWERA Project for global horizontal solar irradiation during the cross-validation step. They are BRASIL-SR and SUNY-ALBANY models (Martins, 2001; Stuhlmann et al. 1990; Perez et al., 2002). The results from other two other core models, NREL and DLR, are not yet available. The HELIOSAT was included as a reference model at this stage. The HELIOSAT model is widely employed for solar energy assessment in Europe and is well know by the solar energy community worldwide (Beyer et al., 1996; Cano et al., 1986). (Purpose): SWERA solar cross-validation study

69

Category:SWERA Map Files | Open Energy Information  

Open Energy Info (EERE)

SWERA Map Files SWERA Map Files Jump to: navigation, search This category contains map files produced for the Solar and Wind Energy Resource Assessment (SWERA) tool. Media in category "SWERA Map Files" The following 55 files are in this category, out of 55 total. Banglmetst 221.pdf Banglmetst 221.pdf 5.42 MB BrazilTMYst 238.pdf BrazilTMYst 238.pdf 12.31 MB Cammetst 58.pdf Cammetst 58.pdf 188 KB Central America 50m Wind Power.pdf Central America 50m Wi... 1.54 MB China Chifeng 50m Wind Power.pdf China Chifeng 50m Wind... 383 KB China Enshi 50m Wind Power.pdf China Enshi 50m Wind P... 451 KB China Fuzhou 50m Wind Power.pdf China Fuzhou 50m Wind ... 1.12 MB China Guangzhou 50m Wind Power.pdf China Guangzhou 50m Wi... 580 KB China Haikou 50m Wind Power.pdf China Haikou 50m Wind ...

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SWERA_Final_Report  

Open Energy Info (EERE)

Ethiopian Rural Energy Development Ethiopian Rural Energy Development and Promotion Center Final Report Country background information Solar and Wind Energy Utilization and Project Development Scenarios October 2007 Ethio Resource Group with Partners i Table of Contents Executive Summary..................................................................................... ii 1 Introduction.........................................................................................................1-1 1.1 Overview.....................................................................................................1-1 1.2 Objective of the study .................................................................................1-1

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SWERA Informe Nacionale: Guatemala | OpenEI  

Open Energy Info (EERE)

Informe Nacionale: Guatemala Informe Nacionale: Guatemala Dataset Summary Description (Abstract): En este capítulo se presenta una breve reseña de las circunstancias socioeconómicas, topográficas y climatológicas de Guatemala. Se mencionan las fuentes de energías renovables del país, que no caben en el enfoque de este documento, y se discuten unas características generales de las energías renovables. (Purpose): Nacionale informe borrador Source MEM Guatemala Date Released November 14th, 2005 (9 years ago) Date Updated November 07th, 2007 (7 years ago) Keywords América Latina documentation Guatemala renewable energy solar SWERA wind Data application/pdf icon Download Report (pdf, 10 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency

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CROSS VALIDATION OF SATELLITE RADIATION TRANSFER MODELS DURING SWERA PROJECT  

Open Energy Info (EERE)

ISES- 2003 ISES- 2003 CROSS VALIDATION OF SATELLITE RADIATION TRANSFER MODELS DURING SWERA PROJECT IN BRAZIL Enio B. Pereira, Fernando R. Martins 1 Brazilian Institute for Space Research - INPE, São José dos Campos, 12245-970, SP, Brazil Phone + 55 12 39456741, Fax + 55 12 39456810, enio@dge.inpe.br Samuel L. Abreu, Hans Georg Beyer, Sergio Colle, and Solar Energy Laboratory - LABSOLAR - Department of Mechanical Engineering, Federal University of Santa Catarina -UFSC, Florianopolis, 88040-900, (SC), Brazil, Richard Perez The University at Albany (SUNY), ASRC-CESTM, Albany, 12203 (NY), USA Abstract - This work describes the cross validation between two different core radiation transfer models that will be applied during the SWERA (Solar and Wind Energy Assessment): the BRAZIL-SR, and the

73

SWERA: In the Case of Renewable Energy, Knowledge IS Power | OpenEI  

Open Energy Info (EERE)

SWERA: In the Case of Renewable Energy, Knowledge IS Power SWERA: In the Case of Renewable Energy, Knowledge IS Power Dataset Summary Description (Abstract): Information document including preliminary impact in countries so far assessed. (Purpose): SWERA Information Source UNEP Date Released May 01st, 2005 (9 years ago) Date Updated November 07th, 2007 (7 years ago) Keywords documentation renewable energy solar SWERA UNEP wind Data application/pdf icon Download Document (pdf, 4.1 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2002 License License Open Data Commons Attribution License Comment Please cite publication as follows: UNEP Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote Ease of access

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Solar: monthly direct normal (DNI) GIS data at 10km resolution for  

Open Energy Info (EERE)

for for Bangladesh from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Direct Normal Irradiance (DNI) for Bangladesh for the years 2000, 2002 and 2003. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the country report for additional background information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated October 30th, 2007 (7 years ago) Keywords Bangladesh DLR DNI GEF solar SWERA UNEP Data text/csv icon Download Data (csv, 915.2 KiB) application/zip icon Download Shapefile (zip, 488 KiB)

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Solar: monthly and annual average direct normal (DNI) GIS data at 10km  

Open Energy Info (EERE)

Ghana from DLR Ghana from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Direct Normal Irradiance (DNI) for Ghana for the years 2000, 2001 and 2002. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the country report for additional background information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. 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 solar SWERA UNEP Data text/csv icon Download Data (csv, 1 MiB) application/zip icon Download Shapefile (zip, 519.6 KiB)

76

File:SWERA-155.pdf | Open Energy Information  

Open Energy Info (EERE)

Solar: monthly average latitude tilt map at 40km resolution for Cuba from NREL Solar: monthly average latitude tilt map at 40km resolution for Cuba from NREL Size of this preview: 776 × 600 pixels. Full resolution ‎(1,650 × 1,275 pixels, file size: 1.19 MB, MIME type: application/pdf) Title A map depicting model estimates of monthly average daily total radiation using inputs derived from satellite and surface observations of cloud cover, Description Solar: monthly average latitude tilt map at 40km resolution for Cuba from NREL Sources National Renewable Energy Laboratory Related Technologies Solar Creation Date 2003-12-11 Extent International Countries Cuba UN Region Caribbean External links http://swera.unep.net/index.php?id=35&idx=155 File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment

77

File:SWERA-277.pdf | Open Energy Information  

Open Energy Info (EERE)

annual average global horizontal (GHI) map at 40km resolution for Southern Mexico (Oaxaca, Veracruz, and Chiapas) from NREL annual average global horizontal (GHI) map at 40km resolution for Southern Mexico (Oaxaca, Veracruz, and Chiapas) from NREL Size of this preview: 776 × 600 pixels. Full resolution ‎(1,650 × 1,275 pixels, file size: 236 KB, MIME type: application/pdf) Title Annual Average Solar Resource for horizontal flat-plate solar collectors for Southern Mexico. Description Solar: annual average global horizontal (GHI) map at 40km resolution for Southern Mexico (Oaxaca, Veracruz, and Chiapas) from NREL Sources University at Albany, SUNY Related Technologies Solar Creation Date 2005-09-06 Extent International Countries Mexico UN Region Central America External links http://swera.unep.net/index.php?id=35&idx=277 File history Click on a date/time to view the file as it appeared at that time.

78

File:SWERA-asiaDIRnrel-211.pdf | Open Energy Information  

Open Energy Info (EERE)

asiaDIRnrel-211.pdf asiaDIRnrel-211.pdf Jump to: navigation, search File File history File usage Solar: annual average direct normal (DNI) map at 40km resolution for East Asia from NREL Size of this preview: 776 × 600 pixels. Full resolution ‎(1,650 × 1,275 pixels, file size: 3.1 MB, MIME type: application/pdf) Title A map depicting model estimates of monthly average daily total radiation using inputs derived from satellite and surface observations of cloud cover, Description Solar: annual average direct normal (DNI) map at 40km resolution for East Asia from NREL Sources National Renewable Energy Laboratory Related Technologies Solar Creation Date 2006-07-01 Regions Asia, East Asia External links http://swera.unep.net/index.php?id=35&idx=326 File history Click on a date/time to view the file as it appeared at that time.

79

File:SWERA-276.pdf | Open Energy Information  

Open Energy Info (EERE)

annual average direct normal (DNI) map at 40km resolution for Southern Mexico (Oaxaca, Veracruz, and Chiapas) from NREL annual average direct normal (DNI) map at 40km resolution for Southern Mexico (Oaxaca, Veracruz, and Chiapas) from NREL Size of this preview: 776 × 600 pixels. Full resolution ‎(1,650 × 1,275 pixels, file size: 237 KB, MIME type: application/pdf) Title Annual Average Solar Resource for 2-axis tracking concentrating collectors for Southern Mexico Description Solar: annual average direct normal (DNI) map at 40km resolution for Southern Mexico (Oaxaca, Veracruz, and Chiapas) from NREL Sources University at Albany, SUNY Related Technologies Solar Creation Date 2005-09-06 Extent International Countries Mexico UN Region Central America External links http://swera.unep.net/index.php?id=35&idx=276 File history Click on a date/time to view the file as it appeared at that time.

80

Overview of the United Nations Environment Programme's Solar...  

Open Energy Info (EERE)

Overview of the United Nations Environment Programme's Solar and Wind Energy Resource Assessment (SWERA) Project (Abstract):Project overview describing...

Note: This page contains sample records for the topic "gis solar swera" 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

File:SWERA-151.pdf | Open Energy Information  

Open Energy Info (EERE)

direct normal (DNI) map at 40km resolution for Cuba from NREL direct normal (DNI) map at 40km resolution for Cuba from NREL Size of this preview: 776 × 600 pixels. Full resolution ‎(1,650 × 1,275 pixels, file size: 1.22 MB, MIME type: application/pdf) Title A map depicting model estimates of monthly average daily total radiation using inputs derived from satellite and surface observations of cloud cover, Description Solar: monthly average direct normal (DNI) map at 40km resolution for Cuba from NREL Sources National Renewable Energy Laboratory Related Technologies Solar Creation Date 2003-12-10 Extent International Countries Cuba UN Region Caribbean External links http://swera.unep.net/index.php?id=35&idx=151 File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment

82

File:SWERA-157.pdf | Open Energy Information  

Open Energy Info (EERE)

average global horizontal (GHI) map at 40km resolution for Central America from NREL average global horizontal (GHI) map at 40km resolution for Central America from NREL Size of this preview: 776 × 600 pixels. Full resolution ‎(1,650 × 1,275 pixels, file size: 1.33 MB, MIME type: application/pdf) Title A map depicting model estimates of monthly average daily total radiation using inputs derived from satellite and surface observations of cloud cover, Description Solar: monthly average global horizontal (GHI) map at 40km resolution for Central America from NREL Sources National Renewable Energy Laboratory Related Technologies Solar Creation Date 2003-12-11 Extent Regional Regions Central America External links http://swera.unep.net/index.php?id=35&idx=157 File history Click on a date/time to view the file as it appeared at that time.

83

File:SWERA-159.pdf | Open Energy Information  

Open Energy Info (EERE)

global horizontal (GHI) map at 40km resolution for Cuba from NREL global horizontal (GHI) map at 40km resolution for Cuba from NREL Size of this preview: 776 × 600 pixels. Full resolution ‎(1,650 × 1,275 pixels, file size: 1.2 MB, MIME type: application/pdf) Title A map depicting model estimates of monthly average daily total radiation using inputs derived from satellite and surface observations of cloud cover, Description Solar: monthly average global horizontal (GHI) map at 40km resolution for Cuba from NREL Sources National Renewable Energy Laboratory Related Technologies Solar Creation Date 2003-12-11 Extent International Countries Cuba UN Region Caribbean External links http://swera.unep.net/index.php?id=35&idx=159 File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment

84

Microsoft Word - 2002_WREC_SWERA_full_paper.doc  

Open Energy Info (EERE)

Congress VII, Cologne, Germany, 29 June - 5 July, 2002 Congress VII, Cologne, Germany, 29 June - 5 July, 2002 HIGH RESOLUTION SOLAR ENERGY RESOURCE ASSESSMENT WITHIN THE UNEP-PROJECT SWERA Christoph Schillings 1 , Enio B. Pereira 2 , Richard Perez 3 , Richard Meyer 4 , Franz Trieb 1 and Dave Renné 5 1 German Aerospace Center (DLR), Institute of Technical Thermodynamics, Stuttgart, Germany 2 Instituto Nacional de Pesquisas Espaciais (INPE), São Jose Dos Campos, SP, Brazil 3 The University at Albany (SUNY), ASRC-CESTM, Albany NY 12203 4 German Aerospace Center (DLR), Institute of Atmospheric Physics, Oberpfaffenhofen, Germany 5 National Renewable Energy Laboratory (NREL), Golden, Colorado 80401-3393, USA ABSTRACT To expand the world wide use of renewable energy a consistent, reliable, verifiable, and easily accessible

85

Solar: annual average direct normal (DNI) GIS data at 10km resolution for  

Open Energy Info (EERE)

GIS data at 10km resolution for GIS data at 10km resolution for Cuba from SUNY Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Cuba (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 10 km by 10 km in size. The solar resource value is represented as kilowatt-hours per square meter per day for each month. The data were developed from the State University of New York's (SUNY) GOES satellite solar model. This

86

Solar: monthly and annual latitude tilt horizontal GIS data at 40km  

Open Energy Info (EERE)

latitude tilt horizontal GIS data at 40km latitude tilt horizontal GIS data at 40km resolution for Nepal from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for flat-plate collectors tilted at latitude for Nepal. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented due south at an angle from horizontal equal to the latitude of the collector location. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The

87

Solar: monthly latitude tilt GIS data at 40km resolution for Bangladesh  

Open Energy Info (EERE)

latitude tilt GIS data at 40km resolution for Bangladesh latitude tilt GIS data at 40km resolution for Bangladesh from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for flat-plate collectors tilted at latitude for Bangladesh. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented due south at an angle from horizontal equal to the latitude of the collector location. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The

88

NREL: Dynamic Maps, GIS Data, and Analysis Tools - Solar Maps  

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

the Solar Maps Development - How the Maps Were Made page. Thumbnail image of the national solar photovoltaics (PV) resource potential in the United States map. Thumbnail image of...

89

Solar: annual average global horizontal (GHI) GIS data at 10km resolution  

Open Energy Info (EERE)

global horizontal (GHI) GIS data at 10km resolution global horizontal (GHI) GIS data at 10km resolution for Cuba from SUNY Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal flat-plate solar collectors for Cuba (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a horizontal flat-plate solar collector, such as a Photovoltaic (PV) solar panel. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 10 km by 10 km in size. The solar resource value is represented as kilowatt-hours per square meter per day for each month. The data were developed from the State University of New York's (SUNY) GOES satellite solar model. This model uses information on hourly satellite observed visible irradiance, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total of the normal or beam insolation falling on a tracking concentrator pointed

90

solar radiation | OpenEI  

Open Energy Info (EERE)

radiation radiation Dataset Summary Description (Abstract): Monthly Average Solar Resource for flat-plate collectors tilted at latitude, for Mexico, Central America, and the Caribbean Islands. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented due south at an angle from horizontal equal to the latitude of the collector location. Source NREL Date Released January 31st, 2004 (10 years ago) Date Updated October 30th, 2007 (7 years ago) Keywords atmospheric water vapor Carribean Central America GEF. latitude tilt GIS Mexico NREL solar solar radiation SWERA TILT UNEP Data application/zip icon Download Shapefile (zip, 241.3 KiB)

91

Solar: monthly and annual average direct normal (DNI) GIS data at 40km  

Open Energy Info (EERE)

22 22 Varnish cache server Solar: monthly and annual average direct normal (DNI) GIS data at 40km resolution for Mexico, Central America, and the Caribbean Islands from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Mexico, Central America, and the Caribbean Islands. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is

93

Solar: monthly and annual average direct normal irradiance GIS...  

Open Energy Info (EERE)

>
Direct Normal Irradiance (kWhm2day)
NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008)
22-year Monthly & Annual Average...

94

NREL GIS Data: Hawaii Low Resolution Concentrating Solar Power Resource |  

Open Energy Info (EERE)

Low Resolution Concentrating Solar Power Resource Low Resolution Concentrating Solar Power Resource Dataset Summary Description Abstract: Monthly and annual average solar resource potential for Hawaii. Purpose: Provide information on the solar resource potential for Hawaii. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented due south at an angle from horizontal equal to the latitude of the collector location. Supplemental_Information: This data provides monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. This data was developed from the Climatological Solar Radiation (CSR) Model. The CSR model was developed by the National Renewable Energy Laboratory for the U.S. Department of Energy. Specific information about this model can be found in Maxwell, George and Wilcox (1998) and George and Maxwell (1999). This model uses information on cloud cover, atmostpheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and sky) falling on a horizontal surface. The cloud cover data used as input to the CSR model are an 7-year histogram (1985-1991) of monthly average cloud fraction provided for grid cells of approximately 40km x 40km in size. Thus, the spatial resolution of the CSR model output is defined by this database. The data are obtained from the National Climatic Data Center in Ashville, North Carolina, and were developed from the U.S. Air Force Real Time Nephanalysis (RTNEPH) program. Atmospheric water vapor, trace gases, and aerosols are derived from a variety of sources. The procedures for converting the collector at latitude tilt are described in Marion and Wilcox (1994). Where possible, existing ground measurement stations are used to validate the data. Nevertheless, there is uncertainty associated with the meterological input to the model, since some of the input parameters are not avalible at a 40km resolution. As a result, it is believed that the modeled values are accurate to approximately 10% of a true measured value within the grid cell. Due to terrain effects and other micoclimate influences, the local cloud cover can vary significantly even within a single grid cell. Furthermore, the uncertainty of the modeled estimates increase with distance from reliable measurement sources and with the complexity of the terrain.

95

NREL GIS Data: Alaska Low Resolution Concentrating Solar Power Resource |  

Open Energy Info (EERE)

Alaska Low Resolution Concentrating Solar Power Resource Alaska Low Resolution Concentrating Solar Power Resource Dataset Summary Description Abstract: Monthly and annual average solar resource potential for Alaska. Purpose: Provide information on the solar resource potential for Alaska. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented due south at an angle from horizontal equal to the latitude of the collector location. Supplemental_Information: This data provides monthly average and annual average daily total solar resource averaged over surface cells of approximatley 40 km by 40 km in size. This data was developed from the Climatological Solar Radiation (CSR) Model. The CSR model was developed by the National Renewable Energy Laboratory for the U.S. Department of Energy. Specific information about this model can be found in Maxwell, George and Wilcox (1998) and George and Maxwell (1999). This model uses information on cloud cover, atmostpheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and sky) falling on a horizontal surface. The cloud cover data used as input to the CSR model are an 7-year histogram (1985-1991) of monthly average cloud fraction provided for grid cells of approximately 40km x 40km in size. Thus, the spatial resolution of the CSR model output is defined by this database. The data are obtained from the National Climatic Data Center in Ashville, North Carolina, and were developed from the U.S. Air Force Real Time Nephanalysis (RTNEPH) program. Atmospheric water vapor, trace gases, and aerosols are derived from a variety of sources. The procedures for converting the collector at latitude tilt are described in Marion and Wilcox (1994). Where possible, existing ground measurement stations are used to validate the data. Nevertheless, there is uncertainty associated with the meterological input to the model, since some of the input parameters are not avalible at a 40km resolution. As a result, it is believed that the modeled values are accurate to approximately 10% of a true measured value within the grid cell. Due to terrain effects and other micoclimate influences, the local cloud cover can vary significantly even within a single grid cell. Furthermore, the uncertainty of the modeled estimates increase with distance from reliable measurement sources and with the complexity of the terrain. Units are in watt hours.

96

Solar: monthly and annual average global horizontal irradiance GIS data at  

Open Energy Info (EERE)

irradiance GIS data at irradiance GIS data at one-degree resolution of the World from NASA/SSE Dataset Summary Description (Abstract): Global Horizontal IrradianceNASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008)22-year Monthly & Annual Average (July 1983 - June 2005) Parameter: Insolation Incident On A Horizontal Surface (kWh/m^2/day) Internet: http://eosweb.larc.nasa.gov/sse/ Note 1: SSE Methodology & Accuracy sections online Note 2: Lat/Lon values indicate the lower left corner of a 1x1 degree region. Negative values are south and west; positive values are north and east. Boundaries of the -90/-180 region are -90 to -89 (south) and -180 to -179 (west). The last region, 89/180, is bounded by 89 to 90 (north) and 179 to 180 (east). The mid-point of

97

Solar: monthly and annual average direct normal (DNI) GIS data at 10km  

Open Energy Info (EERE)

601 601 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142256601 Varnish cache server Solar: monthly and annual average direct normal (DNI) GIS data at 10km resolution for Ethiopia from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Direct Normal Irradiance (DNI) for Ethiopia for the years 2000, 2001 and 2002. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the country report for additional background information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country.

98

Solar: monthly and annual average direct normal (DNI) GIS data at 40km  

Open Energy Info (EERE)

49031 49031 Varnish cache server Solar: monthly and annual average direct normal (DNI) GIS data at 40km resolution for China from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for China. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and sky) falling on a horizontal surface. Existing ground measurement stations are used to validate the data where possible. The modeled values are accurate to approximately 10% of a true measured value within the grid cell due to the uncertainties associated with meteorological input to

99

High Resolution Solar Energy Resource Assessment within the UNEP...  

Open Energy Info (EERE)

High Resolution Solar Energy Resource Assessment within the UNEP Project SWERA

(Abstract):To expand the world wide use of renewable energy a consistent,...

100

Solar: monthly and annual average direct normal irradiance GIS data at  

Open Energy Info (EERE)

irradiance GIS data at irradiance GIS data at one-degree resolution of the World from NASA/SSE Dataset Summary Description (Abstract): Direct Normal Irradiance (kWh/m^2/day)NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008)22-year Monthly & Annual Average (July 1983 - June 2005) Parameter: Direct Normal Radiation (kWh/m^2/day) Internet: http://eosweb.larc.nasa.gov/sse/ Note 1: SSE Methodology & Accuracy sections online Note 2: Lat/Lon values indicate the lower left corner of a 1x1 degree region. Negative values are south and west; positive values are north and east. Boundaries of the -90/-180 region are -90 to -89 (south) and -180 to -179 (west). The last region, 89/180, is bounded by 89 to 90 (north) and 179 to 180 (east). The mid-point of the region is +0.5 added to the the Lat/Lon value. These data are

Note: This page contains sample records for the topic "gis solar swera" 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

Solar: monthly and annual average latitude tilt irradiance GIS data at  

Open Energy Info (EERE)

irradiance GIS data at irradiance GIS data at one-degree resolution of the World from NASA/SSE Dataset Summary Description (Abstract): Latitude Tilt Irradiance NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008)22-year Monthly & Annual Average (July 1983 - June 2005) Parameter: Latitude Tilt Radiation (kWh/m^2/day) Internet: http://eosweb.larc.nasa.gov/sse/ Note 1: SSE Methodology & Accuracy sections online Note 2: Lat/Lon values indicate the lower left corner of a 1x1 degree region. Negative values are south and west; positive values are north and east. Boundaries of the -90/-180 region are -90 to -89 (south) and -180 to -179 (west). The last region, 89/180, is bounded by 89 to 90 (north) and 179 to 180 (east). The mid-point of the region is +0.5 added to the the Lat/Lon value. These data are regional averages; not point data.

102

NREL GIS Data: Alaska Low Resolution Photovoltaic Solar Resource | OpenEI  

Open Energy Info (EERE)

8 8 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142278078 Varnish cache server NREL GIS Data: Alaska Low Resolution Photovoltaic Solar Resource Dataset Summary Description Abstract: Monthly and annual average solar resource potential for Alaska. Purpose: Provide information on the solar resource potential for Alaska. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented due south at an angle from horizontal equal to the latitude of the collector location. Supplemental_Information: This data provides monthly average and annual average daily total solar resource averaged over surface cells of approximatley 40 km by 40 km in size. This data was developed from the Climatological Solar Radiation (CSR) Model. The CSR model was developed by the National Renewable Energy Laboratory for the U.S. Department of Energy. Specific information about this model can be found in Maxwell, George and Wilcox (1998) and George and Maxwell (1999). This model uses information on cloud cover, atmostpheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and sky) falling on a horizontal surface. The cloud cover data used as input to the CSR model are an 7-year histogram (1985-1991) of monthly average cloud fraction provided for grid cells of approximately 40km x 40km in size. Thus, the spatial resolution of the CSR model output is defined by this database. The data are obtained from the National Climatic Data Center in Ashville, North Carolina, and were developed from the U.S. Air Force Real Time Nephanalysis (RTNEPH) program. Atmospheric water vapor, trace gases, and aerosols are derived from a variety of sources. The procedures for converting the collector at latitude tilt are described in Marion and Wilcox (1994). Where possible, existing ground measurement stations are used to validate the data. Nevertheless, there is uncertainty associated with the meterological input to the model, since some of the input parameters are not avalible at a 40km resolution. As a result, it is believed that the modeled values are accurate to approximately 10% of a true measured value within the grid cell. Due to terrain effects and other micoclimate influences, the local cloud cover can vary significantly even within a single grid cell. Furthermore, the uncertainty of the modeled estimates increase with distance from reliable measurement sources and with the complexity of the terrain.

103

Solar: monthly global horizontal (GHI) GIS data at 10km resolution...  

Open Energy Info (EERE)

Central America from SUNY

(Abstract):Monthly Average Solar Resource for horizontal flat-plate solar collectors for Central America
<...

104

Solar: monthly global horizontal (GHI) GIS data at 10km resolution for  

Open Energy Info (EERE)

Central America from SUNY Central America from SUNY Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal flat-plate solar collectors for Central America (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a horizontal flat-plate solar collector, such as a Photovoltaic (PV) solar panel. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 10 km by 10 km in size. The solar resource value is represented as kilowatt-hours per square meter per day for each month. The data were developed from the State University of New York's (SUNY) GOES satellite solar model.

105

Solar: annual average global horizontal (GHI) GIS data at 10km...  

Open Energy Info (EERE)

at 10km resolution for Cuba from SUNY

(Abstract):Monthly Average Solar Resource for horizontal flat-plate solar collectors for Cuba

(Purpose):<...

106

Solar: monthly and annual average global horizontal (GHI) GIS data at 40km  

Open Energy Info (EERE)

Brazil from NREL Brazil from NREL Dataset Summary Description (Abstract): Monthly average solar resource for horizontal flat-plate collectors for Brazil. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

107

Solar: monthly and annual average direct normal (DNI) GIS data at 40km for  

Open Energy Info (EERE)

km for km for Sri Lanka from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Sri Lanka (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

108

Solar: monthly and annual average direct normal (DNI) GIS data at 40km  

Open Energy Info (EERE)

Kenya from NREL Kenya from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Kenya. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

109

Solar: monthly direct normal (DNI) GIS data at 40km resolution for  

Open Energy Info (EERE)

40km resolution for 40km resolution for Bangladesh from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Bangladesh. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

110

Solar: monthly and annual average direct normal (DNI) GIS data at 40km  

Open Energy Info (EERE)

Nepal from NREL Nepal from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Nepal. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

111

Solar: monthly and annual average global horizontal (GHI) GIS data at 40km  

Open Energy Info (EERE)

Kenya from NREL Kenya from NREL Dataset Summary Description (Abstract): Monthly average solar resource for horizontal flat-plate collectors for Kenya. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

112

Solar: monthly and annual average global horizontal (GHI) GIS data at 40km  

Open Energy Info (EERE)

Sri Lanka from NREL Sri Lanka from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal flat-plate collectors, for Sri Lanka (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

113

Solar: monthly global horizontal (GHI) GIS data at 40km resolution for  

Open Energy Info (EERE)

40km resolution for 40km resolution for Bangladesh from NREL Dataset Summary Description (Abstract): Monthly average solar resource for horizontal flat-plate collectors for Bangladesh. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

114

Solar: monthly and annual average latitude tilt GIS data at 40km resolution  

Open Energy Info (EERE)

Ghana from NREL Ghana from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for flat-plate collectors tilted at latitude for Ghana. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to

115

Solar: monthly and annual average direct normal (DNI) GIS data at 40km  

Open Energy Info (EERE)

Ethiopia from NREL Ethiopia from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Ethiopia. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

116

Solar: monthly and annual average global horizontal (GHI) GIS data at 40km  

Open Energy Info (EERE)

Nepal from NREL Nepal from NREL Dataset Summary Description (Abstract): Monthly average solar resource for horizontal flat-plate collectors for Nepal. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

117

Solar: monthly and annual average direct normal (DNI) GIS data at 40km  

Open Energy Info (EERE)

Ghana from NREL Ghana from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Ghana. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

118

Solar: monthly and annual average global horizontal (GHI) GIS data at 40km  

Open Energy Info (EERE)

Ghana from NREL Ghana from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal flat-plate collectors for Ghana. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

119

Solar: monthly direct normal (DNI) GIS data at 10km resolution for Central  

Open Energy Info (EERE)

for Central for Central America from SUNY Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Central America. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 10 km by 10 km in size. The solar resource value is represented as kilowatt-hours per square meter per day for each month. The data were developed from the State University of New York's (SUNY) GOES satellite solar model. This

120

Solar: monthly and annual average direct normal (DNI) GIS data at 40km  

Open Energy Info (EERE)

Brazil from NREL Brazil from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Brazil. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

Note: This page contains sample records for the topic "gis solar swera" 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

Using GIS and Remote Sensing Techniques for Solar Panel Installation Site Selection.  

E-Print Network (OSTI)

??Solar energy replacing conventional non-renewable energy has been widely implemented around the world. Currently, one of the most challenging problems is how to improve the (more)

Li, Dongrong

2013-01-01T23:59:59.000Z

122

Solar: monthly and annual average latitude tilt GIS data at 40km resolution  

Open Energy Info (EERE)

Mexico, Central America, and the Caribbean Islands from NREL Mexico, Central America, and the Caribbean Islands from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for flat-plate collectors tilted at latitude, for Mexico, Central America, and the Caribbean Islands. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented due south at an angle from horizontal equal to the latitude of the collector location. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The

123

High Resolution Solar Energy Resource Assessment within the UNEP Project  

Open Energy Info (EERE)

High Resolution Solar Energy Resource Assessment within the UNEP Project High Resolution Solar Energy Resource Assessment within the UNEP Project SWERA Dataset Summary Description (Abstract): To expand the world wide use of renewable energy a consistent, reliable, verifiable, and easily accessible database of solar energy resources is needed. Within the UNEP (United Nations Environment Programme) Project SWERA (Solar and Wind Energy Resource Assessment, http://swera.unep.net), funded by GEF (Global Environment Facility), a global database of solar and wind energy resources will be set up. SWERA will provide, beside the wind products, global horizontal irradiance, which is mostly used to plan photovoltaic systems, and direct normal irradiance, which is needed for solar concentrating systems. For selected countries throughout the world, additionally high resolution data will be produced which is required to plan solar energy systems in detail. Within SWERA, the partners DLR, SUNY and INPE calculate solar irradiance with high temporal resolution of 1 hour and with a spatial resolution of 10km x 10km. By processing data from geostationary satellites we provide solar irradiance data for Cuba, El Salvador, Honduras, Nicaragua, Guatemala, Brazil, Ghana, Ethiopia, Kenya, China, Sri Lanka, Nepal, and Bangladesh. In this paper we describe the ongoing work of developing this high resolution solar irradiance tx_metadatatool and cross-checking of the used solar irradiance algorithms for various satellite data.

124

Solar: monthly and annual average global horizontal (GHI) GIS data at 40km  

Open Energy Info (EERE)

Mexico, Central America, and the Caribbean Islands from NREL Mexico, Central America, and the Caribbean Islands from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal flat-plate collectors, for Mexico, Central America, and the Caribbean Islands. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and sky) falling on a horizontal surface. Existing ground measurement stations are used to validate the data where possible. The modeled values are accurate to approximately 10% of a true measured value within the grid cell due to the uncertainties associated with meteorological input to the model. The local cloud cover can vary significantly even within a single grid cell as a result of terrain effects and other microclimate

125

Solar: monthly and annual average global horizontal (GHI) GIS data at 40km  

Open Energy Info (EERE)

Ethiopia from NREL Ethiopia from NREL Dataset Summary Description (Abstract): Monthly average solar resource for horizontal flat-plate collectors for Ethiopia. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and sky) falling on a horizontal surface. Existing ground measurement stations are used to validate the data where possible. The modeled values are accurate to approximately 10% of a true measured value within the grid cell due to the uncertainties associated with meteorological input to the

126

Solar: monthly and annual average global horizontal (GHI) GIS data at 40km  

Open Energy Info (EERE)

China from NREL China from NREL Dataset Summary Description (Abstract): Monthly average solar resource for horizontal flat-plate collectors for China. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and sky) falling on a horizontal surface. Existing ground measurement stations are used to validate the data where possible. The modeled values are accurate to approximately 10% of a true measured value within the grid cell due to the uncertainties associated with meteorological input to the model. The local cloud cover can vary significantly even within a single grid cell as a result of terrain effects and other microclimate influences. Furthermore, the uncertainty of the modeled estimates increase with distance from reliable measurement sources and with the complexity of the terrain.

127

Solar: monthly and annual average latitude tilt GIS data at 40km resolution  

Open Energy Info (EERE)

China from NREL China from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for flat-plate collectors tilted at latitude for China. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented due south at an angle from horizontal equal to the latitude of the collector location. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and sky) falling on a horizontal surface. Existing ground measurement stations

128

NREL GIS Data: Hawaii High Resolution Concentrating Solar Power | OpenEI  

Open Energy Info (EERE)

Concentrating Solar Power Concentrating Solar Power Dataset Summary Description Abstract - Monthly and annual average solar resource potential for the state of Hawaii. Purpose - Provide information on the solar resource potential for the state of Hawaii. The insolation values represent the average solar energy available to a concentrating collector on a 2-axis tracker, such as a dish or a power tower. Supplemental Info - This data provides monthly average and annual average daily total solar resource averaged over surface cells of 0.1 degrees in both latitude and longitude, or about 10 km in size. This data was developed using the State University of New York/Albany satellite radiation model. This model was developed by Dr. Richard Perez and collaborators at the National Renewable Energy Laboratory and other universities for the U.S. Department of Energy. Specific information about this model can be found in Perez, et al. (2002). This model uses hourly radiance images from geostationary weather satellites, daily snow cover data, and monthly averages of atmospheric water vapor, trace gases, and the amount of aerosols in the atmosphere to calculate the hourly total insolation (sun and sky) falling on a horizontal surface. Atmospheric water vapor, trace gases, and aerosols are derived from a variety of sources. A modified Bird model is used to calculate clear sky direct normal (DNI). This is then adjusted as a function of the ratio of clear sky global horizontal (GHI) and the model predicted GHI. Where possible, existing ground measurement stations are used to validate the data. Nevertheless, there is uncertainty associated with the meterological input to the model, since some of the input parameters are not avalable at a 10km resolution. As a result, it is believed that the modeled values are accurate to approximately 15% of a true measured value within the grid cell. Due to terrain effects and other microclimate influences, the local cloud cover can vary significantly even within a single grid cell. Furthermore, the uncertainty of the modeled estimates increase with distance from reliable measurement sources and with the complexity of the terrain.

129

NREL: Dynamic Maps, GIS Data, and Analysis Tools - Solar Maps Development  

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

Solar Maps Development - How the Maps Were Made Solar Maps Development - How the Maps Were Made 10km The State University of New York/Albany satellite radiation model was developed by Richard Perez and collaborators at the National Renewable Energy Laboratory and other universities for the U.S. Department of Energy. Specific information about this model can be found in Perez, et al. (2002). This model uses hourly radiance images from geostationary weather satellites, daily snow cover data, and monthly averages of atmospheric water vapor, trace gases, and the amount of aerosols in the atmosphere to calculate the hourly total insolation (sun and sky) falling on a horizontal surface. Atmospheric water vapor, trace gases, and aerosols are derived from a variety of sources. The procedures for converting the collector at

130

SOLAR RESOURCE GIS DATA BASE FOR THE PACIFIC NORTHWEST USING SATELLITE DATA  

DOE Green Energy (OSTI)

A five year solar radiation database derived from satellite cloud cover and auxiliary data has been created for the Pacific Northwest. The database provides hourly global, beam, and diffuse irradiance values from 1998 through 2002 from longitude -110.05{sup o} to -125.05{sup o} and north latitude 42.05{sup o} to 49.05{sup o} on a 0.1{sup o} grid. This final report describes how the database was created, the characteristics of the database, the software tool developed to facilitate the use of the database, and dissemination of the database.

Frank Vignola; Richard Perez

2004-03-29T23:59:59.000Z

131

Solar and Wind Energy Resource Assessment Programme's Renewable Energy  

Open Energy Info (EERE)

Solar and Wind Energy Resource Assessment Programme's Renewable Energy Solar and Wind Energy Resource Assessment Programme's Renewable Energy Resource Explorer Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Solar and Wind Energy Resource Assessment Programme's Renewable Energy Resource Explorer Focus Area: Solar Topics: Opportunity Assessment & Screening Website: en.openei.org/apps/SWERA/ Equivalent URI: cleanenergysolutions.org/content/solar-and-wind-energy-resource-assess Language: English Policies: Deployment Programs DeploymentPrograms: Technical Assistance The Solar and Wind Energy Resource Assessment (SWERA) programme's Renewable Energy Resource Explorer (RREX) is a Web-based map viewer that displays data from SWERA, the United Nations Environment Programme (UNEP) renewable resource assessment program. The viewer allows users to select any location

132

GIS keyword | OpenEI Community  

Open Energy Info (EERE)

GIS keyword GIS keyword Home > Groups > Geospatial NickL's picture Submitted by NickL(46) Member 25 June, 2012 - 21:45 geospatial data GIS GIS data Explore the geospatial datasets in OpenEI's datasets by using the keyword GIS to filter search results. Over 220 results contain the GIS keyword and include US and global energy data. Search solar, wind, biomass and wave energy resources. Do you have GIS data you would like to share? Please add it to OpenEI's growing datasets and let the community know what you've shared. Groups: Geospatial Login to post comments Latest discussions NickL GIS keyword Posted: 25 Jun 2012 - 21:45 by NickL Groups Menu You must login in order to post into this group. Latest discussion comments No comments have been made yet Recent content Hi-Yes, you are correct wi...

133

Wind: wind speed and wind power density GIS data at 10m and 50m above  

Open Energy Info (EERE)

10m and 50m above 10m and 50m above surface and 0.25 degree resolution for global oceans from NREL Dataset Summary Description (Abstract): Raster GIS ASCII data files of wind speed and wind power density at 10 and 50 m heights. Global data of offshore wind resource as generated by NASA's QuikScat SeaWinds scatterometer. (Purpose): To provide information on the wind resource potential of offshore areas. Source NREL Date Released December 31st, 2005 (9 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords GEF GIS NASA NREL ocean offshore QuikScat SWERA UNEP wind Data application/msword icon Download Documentation (doc, 53.8 KiB) application/zip icon Download Data (zip, 41 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 01/01/2000 - 12/31/2004

134

Wind: wind power density GIS data at 50m above ground and 400m resolution  

Open Energy Info (EERE)

400m resolution 400m resolution for Sri Lanka from NREL Dataset Summary Description (Abstract): Raster GIS data, 50 m wind power density for Sri Lanka (Purpose): To provide information on the wind resource potential within Sri Lanka and selected offshore areas (Supplemental Information): ***** Spatial Reference Information (Beg) *****Projection ParametersProjection UTMZone 44Datum WGS84Zunits NoneUnits METERSSpheroid WGS84Xshift 0.0000000000Yshift 0.0000000000ParametersSpatial InformationRaster:Number of Columns: 764Number of Rows: 1218Pixel Resolution (m): 400Data Type: real***** Spatial Reference Information (End) ***** Source NREL Date Released June 30th, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords GIS NREL Sri Lanka SWERA UNEP wind Data application/zip icon Download Data (zip, 771.5 KiB)

135

Microsoft Word - Ghana_10km_solar_country_report.doc  

Open Energy Info (EERE)

Assessment (SWERA) Assessment (SWERA) High Resolution Solar Radiation Assessment for Ghana Final country report prepared by Christoph Schillings 1 Richard Meyer 2 Franz Trieb 1 1 Deutsches Zentrum für Luft- und Raumfahrt, DLR-Stuttgart, Institut für Technische Thermodynamik, Pfaffenwaldring 38-40, D-70569 Stuttgart, Germany 2 Deutsches Zentrum für Luft- und Raumfahrt, DLR-Oberpfaffenhofen, Institut für Physik der Atmosphäre, D-82234 Weßling, Germany submitted to UNEP / GEF October 2004 Content 1. Method description (satellite data, GHI-method, DNI-method) 2. Model output (GHI, DNI) 3. Comparison with ground measurements (if available) 4. References Notice This report was prepared as an account of work within the SWERA project funded by GEF / UNEP.

136

Solar Energy | OpenEI  

Open Energy Info (EERE)

Energy Energy Dataset Summary Description Reduction of global greenhouse gas emission to arrest global warming requires minimizing the use of fossil fuels. To achieve this a large scale use of renewable energies must be made over the globe for production of electrical and thermal energy. Success of wind and solar energy projects require detailed and precise information on the resources. For most developing countries adequate information on the resources are not available. Source Renewable Energy Research Centre, University of Dhaka Date Released February 19th, 2007 (7 years ago) Date Updated Unknown Keywords Feasibility Study resource assessment Solar Energy SWERA Bangladesh Wind Energy Data application/pdf icon swera_bangladesh_fullreport.pdf (pdf, 2.7 MiB)

137

GIS | OpenEI Community  

Open Energy Info (EERE)

GIS Home NickL's picture Submitted by NickL(46) Member 25 June, 2012 - 21:45 GIS keyword geospatial data GIS GIS data Explore the geospatial datasets in OpenEI's datasets by using...

138

NREL: Internal NREL GIS Newsletter - Summer Edition  

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

Internal NREL GIS Newsletter - Summer Edition Internal NREL GIS Newsletter - Summer Edition NREL's GIS team has been working on various projects throughout the last several months and the purpose of this newsletter is to introduce you to some of this work as well as highlight tools and inform you of new datasets and maps available for download. As you plan for Fiscal Year 2014 we wanted to give you an opportunity to see the type of work the GIS Team is doing in case you have projects that could use the team's help. For assistance, please contact Keith Searight or Dan Getman. Table of Contents Featured Projects Wind Barriers Impact Analysis Wind Transportation Study New Spatiotemporal Scenario Visualization Capabilities Rooftop Photovoltaics Analysis Solar Resource Data for India PVWatts - New Beta Site Ready for Testing!

139

Components of Internet GIS  

E-Print Network (OSTI)

Internet GIS: a research field A research and application area that utilize Internet and other Internetworking systems to facilitate:

Imad Abugessaisa; M. Tsou

2007-01-01T23:59:59.000Z

140

NREL: Dynamic Maps, GIS Data, and Analysis Tools Home Page  

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

The Dynamic Maps, Geographic Information System (GIS) Data and Analysis The Dynamic Maps, Geographic Information System (GIS) Data and Analysis Tools website provides maps, data and tools for renewable energy resources that determine which energy technologies are viable solutions in domestic and international regions. MapSearch - While this site contains detailed information and quality data, if you want to search for the latest and most up-to-date maps created by NREL, please visit our MapSearch: http://www.nrel.gov/gis/mapsearch/ Renewable Energy Technical Potential with the image of a presentation slide with map. The National Renewable Energy Laboratory's GIS team analyzes wind, solar, biomass, geothermal, and other energy resources and inputs the data into the GIS. Read more about how NREL's GIS staff and capabilities enhance the

Note: This page contains sample records for the topic "gis solar swera" 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

Overview of the United Nations Environment Programme's Solar and Wind  

Open Energy Info (EERE)

Overview of the United Nations Environment Programme's Solar and Wind Overview of the United Nations Environment Programme's Solar and Wind Energy Resource Assessment (SWERA) Project Dataset Summary Description (Abstract): Project overview describing rationale, products and partners of the UNEP/GEF Solar and Wind Energy Resource Assessment project. (Purpose): Project overview for presentation at the Asia regional meeting at the Second International Conference on Renewable Energy Technology for Rural Development (RETRUD-03) in Katmandu on 12-14 October 2003 Source NREL Date Released October 14th, 2003 (11 years ago) Date Updated October 20th, 2007 (7 years ago) Keywords GEF solar SWERA UNEP United Nations wind Data application/zip icon Download Presentation (zip, 5 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

142

ORNL DAAC WebGIS  

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

WebGIS Overview WebGIS is an Internet based technology that enables users to browse, query, and display spatial data using a standard web browser. The ORNL DAAC WebGIS is based...

143

Integrated: Geospatial Toolkit GIS data for Kenya from NREL ...  

Open Energy Info (EERE)

that can be used for decision making and policy analysis in addition to planning for future energy projects. The SWERA application utilizes Geographical Information Systems...

144

Integrated: Geospatial Toolkit GIS data for Nepal from NREL ...  

Open Energy Info (EERE)

that can be used for decision making and policy analysis in addition to planning for future energy projects. The SWERA application utilizes Geographical Information Systems...

145

Integrated: Geospatial Toolkit GIS data for Nicaragua from NREL...  

Open Energy Info (EERE)

that can be used for decision making and policy analysis in addition to planning for future energy projects. The SWERA application utilizes Geographical Information Systems...

146

Integrated: Geospatial Toolkit GIS data for Bangladesh from NREL...  

Open Energy Info (EERE)

that can be used for decision making and policy analysis in addition to planning for future energy projects. The SWERA application utilizes Geographical Information Systems...

147

Integrated: Geospatial Toolkit GIS data for Sri Lanka from NREL  

Open Energy Info (EERE)

that can be used for decision making and policy analysis in addition to planning for future energy projects. The SWERA application utilizes Geographical Information Systems...

148

Integrated: Geospatial Toolkit GIS data for Ghana from NREL ...  

Open Energy Info (EERE)

that can be used for decision making and policy analysis in addition to planning for future energy projects. The SWERA application utilizes Geographical Information Systems...

149

Integrated: Geospatial Toolkit GIS data for Ethiopia from NREL...  

Open Energy Info (EERE)

that can be used for decision making and policy analysis in addition to planning for future energy projects. The SWERA application utilizes Geographical Information Systems...

150

Integrated: Geospatial Toolkit GIS data for Brazil from NREL...  

Open Energy Info (EERE)

that can be used for decision making and policy analysis in addition to planning for future energy projects. The SWERA application utilizes Geographical Information Systems...

151

Integrated: Geospatial Toolkit GIS data for Honduras from NREL...  

Open Energy Info (EERE)

that can be used for decision making and policy analysis in addition to planning for future energy projects. The SWERA application utilizes Geographical Information Systems...

152

Integrated: Geospatial Toolkit GIS data for Guatemala from NREL...  

Open Energy Info (EERE)

that can be used for decision making and policy analysis in addition to planning for future energy projects. The SWERA application utilizes Geographical Information Systems...

153

Integrated: Geospatial Toolkit GIS data for Cuba from NREL  

Open Energy Info (EERE)

that can be used for decision making and policy analysis in addition to planning for future energy projects. The SWERA application utilizes Geographical Information Systems...

154

Integrated: Geospatial Toolkit GIS data for El Salvador from...  

Open Energy Info (EERE)

that can be used for decision making and policy analysis in addition to planning for future energy projects. The SWERA application utilizes Geographical Information Systems...

155

Integrated: Geospatial Toolkit GIS data for China from NREL  

Open Energy Info (EERE)

that can be used for decision making and policy analysis in addition to planning for future energy projects. The SWERA application utilizes Geographical Information Systems...

156

The language of GIS.  

E-Print Network (OSTI)

??This thesis provides a vocabulary of GIS for landscape architects through the use of history, definitions and a pplications. This thesis is based on the (more)

Collins, James Barrie, II

2006-01-01T23:59:59.000Z

157

Repast vector GIS integration.  

Science Conference Proceedings (OSTI)

Repast now supports the reading, writing, and display of shapefile data. In the Repast-GIS integration, these tasks are generally broken up into two different classes, a data class, and a display class. The data class allows data to be read into Repast from the GIS, and written out from Repast into a GIS format. The current implementation of GIS in Repast is focused on two systems: ESRI ArcMap and OpenMap. This paper will elucidate how to use each of these systems with Repast.

Najlis, R.; North, M. J.; Decision and Information Sciences

2005-01-01T23:59:59.000Z

158

GIS Capability.pub  

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

GIS. ORNL's Capabilities Facilities and infrastructure management tools for space, maintenance, security, and use management. Route planning and analysis tools for...

159

OpenEI Community - GIS  

Open Energy Info (EERE)

GIS keyword http:en.openei.orgcommunitydiscussiongis-keyword

Explore the geospatial datasets in OpenEI's datasets by using the keyword GIS to filter search results....

160

GIS-Based Infrastructure Modeling  

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

GIS-Based Infrastructure Modeling Hydrogen Scenario Meeting August 9-10, 2006 Keith Parks, NREL GIS-Based Infrastructure Modeling * Station Analysis - Selection Criteria - Los...

Note: This page contains sample records for the topic "gis solar swera" 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

GIS as an educational tool.  

E-Print Network (OSTI)

??Geographic Information Systems (GIS) is a leading informational technology of today. Used in a wide variety of applications, the influence of GIS affects people daily. (more)

Winn, Jennifer P.

2012-01-01T23:59:59.000Z

162

EUV Spectra of the Full Solar Disk: Analysis and Results of the Cosmic Hot Interstellar Plasma Spectrometer (CHIPS)  

E-Print Network (OSTI)

L. , Feldman, U. : 1972, The solar spectrum: Wavelengths andknowledge of the solar spectrum. SOHO/CDS/GIS has onedetails of the solar spectrum. Rocket ?ights typically

Sirk, M. M.; Hurwitz, M.; Marchant, W.

2010-01-01T23:59:59.000Z

163

NREL: Dynamic Maps, GIS Data, and Analysis Tools - Data Resources  

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

Bookmark and Share Bookmark and Share Data Resources NREL's Geographic Information System (GIS) team develops technology-specific GIS data maps for a variety of areas, as well as targeted analysis tools that can help determine availability of renewable energy resources. Geographic Information System Data NREL's GIS Team develops technology-specific GIS data maps for a variety of areas, including biomass, geothermal, solar, wind, and renewable hydrogen. The team has made some of our datasets available for download through this Web site. 10km and 40km solar datasets are available for the United States and some international sites. 50m wind datasets are available for specific states, regions and some international sites. 25km wind datasets are available for the United States. 90m offshore wind datasets are available

164

Repast Vector GIS Integration  

E-Print Network (OSTI)

This paper will elucidate the creation of agents based on GIS data, as well as how to work with and display those agents. Specific attention is given to the usage of both ArcMap and OpenMap. Contact: 9700 S. Cass Avenue, Argonne, IL 60439 Tel: 1-917-703-4633 Email: rnajlis@anl.gov Key Words: Agent-Based Modeling and Simulation, Repast, GIS, Geographic Information Systems, Repast, ArcMap, OpenMap Robert Najlis, Michael J. North Repast now supports the reading, writing, and display of shapefile data. In the Repast-GIS integration, these tasks are generally broken up into two different classes, a data class, and a display class. The data class allows data to be read into Repast from the GIS, and written out from Repast into a GIS format. The current implementation of GIS in Repast is focused on two systems: ESRI ArcMap and OpenMap. This paper will elucidate how to use each of these systems with Repast. Getting started: Choosing your data and display classes Each GIS system used with Re

Robert Najlis; Robert Najlis; Robert Najlis; Michael J. North; Michael J. North

2005-01-01T23:59:59.000Z

165

GIS data | OpenEI Community  

Open Energy Info (EERE)

GIS data Home NickL's picture Submitted by NickL(46) Member 25 June, 2012 - 22:45 GIS keyword geospatial data GIS GIS data Explore the geospatial datasets in OpenEI's datasets by...

166

Solar and Wind Energy Resource Assessment - Kenya Country Report | OpenEI  

Open Energy Info (EERE)

- Kenya Country Report - Kenya Country Report Dataset Summary Description (Abstract): The Kenya Country Report describes the energy situation in Kenys and identifies solar and wind energy opportunities. (Purpose): To influence investment decisions by promoting and supporting renewable energy by overcoming informational barriers in solar and wind energy financing. Source Daniel Theuri - SWERA National Team Date Released November 23rd, 2008 (6 years ago) Date Updated Unknown Keywords documentation Kenya renewable energy solar SWERA UNEP wind Data application/pdf icon Download Report (pdf, 9.3 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2008 License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment

167

Purpose GIS Naming Conventions  

E-Print Network (OSTI)

This document describes guidelines for naming of GIS-related folders, files, attribute tables, and fields for the North Coast and Cascades Network (NCCN) and helps to fulfill the requirements for GIS deliverables developed as part of Inventory and Monitoring (I&M) Program natural resource studies. The primary objective of this document is to improve GIS data quality and usability by establishing a consistent file naming convention for working and final shared, geo-referenced data sets within the NCCN. These guidelines propose clear filename creation methods in order to minimize confusion, errors, and unnecessary support when GIS data are exchanged among users. Two competing objectives need to be balanced: to make a dataset name easily understood and as short as possible for use in various software systems. Longer field names, sometimes resulting from long dataset names and sometimes created by users, are often truncated during data exchange or format conversion, which could unintentionally create non-unique field names. These guidelines will: promote consistency in GIS layer and attribute (variable or field) naming provide guidance to data stewards and data contributors advance a clearer understanding of the information in the files, tables and fields via appropriate

unknown authors

2007-01-01T23:59:59.000Z

168

GIS | OpenEI  

Open Energy Info (EERE)

GIS GIS Dataset Summary Description The Geospatial Toolkit (GsT) is a map viewer developed by the National Renewable Energy Laboratory (NREL). The toolkit helps energy planners, project developers, researchers and others identify areas of a country that show good potential for renewable energy projects. The toolkit displays renewable energy data along with information about the geography, location of population centers, borders, and transportation and power infrastructure. Source NREL Date Released Unknown Date Updated January 03rd, 2011 (4 years ago) Keywords Geospatial Toolkit GIS NREL Oaxaca Data Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period License License Open Data Commons Public Domain Dedication and Licence (PDDL)

169

Open-Source GIS  

SciTech Connect

The components making up an Open Source GIS are explained in this chapter. A map server (Sect. 30.1) can broadly be defined as a software platform for dynamically generating spatially referenced digital map products. The University of Minnesota MapServer (UMN Map Server) is one such system. Its basic features are visualization, overlay, and query. Section 30.2 names and explains many of the geospatial open source libraries, such as GDAL and OGR. The other libraries are FDO, JTS, GEOS, JCS, MetaCRS, and GPSBabel. The application examples include derived GIS-software and data format conversions. Quantum GIS, its origin and its applications explained in detail in Sect. 30.3. The features include a rich GUI, attribute tables, vector symbols, labeling, editing functions, projections, georeferencing, GPS support, analysis, and Web Map Server functionality. Future developments will address mobile applications, 3-D, and multithreading. The origins of PostgreSQL are outlined and PostGIS discussed in detail in Sect. 30.4. It extends PostgreSQL by implementing the Simple Feature standard. Section 30.5 details the most important open source licenses such as the GPL, the LGPL, the MIT License, and the BSD License, as well as the role of the Creative Commons.

Vatsavai, Raju [ORNL; Burk, Thomas E [University of Minnesota; Lime, Steve [Minnesota Department of Natural Resources

2012-01-01T23:59:59.000Z

170

Solar  

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

The U.S. Department of Energy (DOE) leads a large network of researchers and other partners to deliver innovative solar photovoltaic and concentrating solar power technologies that will make solar...

171

PAR solar radiation | OpenEI  

Open Energy Info (EERE)

PAR solar radiation PAR solar radiation Dataset Summary Description (Abstract): Mean values of PAR Solar Radiation in kWh/m2/day for 40km cells for 1 year (month, season, year) based on data from 1995 to 2005 (Purpose): To provide a set of consistent, reliable, verifiable, and accessible global data sets for international and in-country investors and other stakeholders Source INPE (National Institute for Spatial Research) and LABSOLAR (Laboratory of Solar Energy/Federal University of Santa Catarina) - Brazil Date Released August 05th, 2009 (5 years ago) Date Updated August 05th, 2009 (5 years ago) Keywords INPE LABSOLAR PAR solar radiation renewable energy South America SWERA UNEP Data application/zip icon Download Shapefile (zip, 977.7 KiB) text/csv icon Download Data (csv, 1.8 MiB)

172

NREL: Dynamic Maps, GIS Data, and Analysis Tools - GIS Staff  

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

GIS Staff GIS Staff The following includes summary bios of Geographic Information System (GIS) staff expertise and interests in analysis relating to geospatial analytics and integrated resource assessment; our energy efficiency and renewable energy data warehouse; and advanced visualization. Daniel Getman Pamela Gray-Hann Donna Heimiller Dylan Hettinger Anthony Lopez Jenny Melius Ted Quinby Billy J. Roberts Photo of Daniel Getman Daniel Getman GIS Scientist IV - Geospatial Section Supervisor Areas of expertise Project management, client management, and team leadership Development of geospatial data management, analysis and visualization systems Spatial statistical analysis methods Enhancement and analysis of remotely sensed data Primary research interests Scientific programming

173

NREL GIS data: Pakistan Wind Resources GIS data for Pakistan...  

Open Energy Info (EERE)

GIS data for Pakistan's wind resources in graphical files of seasonal and diurnal data from surface weather stations,graphical files of seasonal and diurnal data from...

174

Geografiundervisning om eller med GIS.  

E-Print Network (OSTI)

?? I studien har gymnasielrares didaktiska val fr implementering av geografiska informationssystem (GIS) i geografiundervisningen underskts. Resultatet baseras p intervjuer med sex stycken respondenter, vilka (more)

Kaati, Patrik

2012-01-01T23:59:59.000Z

175

Modeling GML and SVG data for Web GIS.  

E-Print Network (OSTI)

??The development of geographic information system (GIS) is accomplished by increasing popularity of Internet GIS. However, currently most commercial Web GIS applications use proprietary data (more)

Zou, Liang

2006-01-01T23:59:59.000Z

176

Estimating Hydrogen Demand Distribution Using Geographic Information Systems (GIS)  

E-Print Network (OSTI)

in the application of GIS to the study of environmental13) Figure 13 Interaction between GIS and Optimization ofEngineer Joshua Johnson 2 , GIS Specialist Institute of

Ni, Jason; Johnson, Nils; Ogden, Joan M; Yang, Christopher; Johnson, Joshua

2005-01-01T23:59:59.000Z

177

DAV: EERE's GIS Resource  

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

Dan Getman Dan Getman August 16 th , 2011 Geospatial Analysis and the OpenCarto Framework: Spatial Analysis, Data Provision, and Decision Support at all Levels of Renewable Energy Development Innovation for Our Energy Future OpenCarto Framework OpenCarto is a web based GIS framework designed to support analysis, visualization, and data exploration Innovation for Our Energy Future OpenCarto Framework * Project began as an LDRD * Sponsored projects evolved the application into a framework * Framework gained stability and adoption inside and outside of DOE * Result of collaboration between * Internal and external funding * Multiple centers collaborating within NREL * Multiple sponsoring offices and agencies * Collaboration between domain expertise in several renewable technologies, software development, and spatial analysis

178

Microsoft Word - GIS Extension Request  

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

GIS Extension Request (previous BNL visitors with a BNL Guest Number.) 1. Go to https:fsd84.bis.bnl.govguestbnlguest.asp 2. Fill out ONLY the information that has changed. a....

179

Climate: monthly and annual average relative humidity GIS data at  

Open Energy Info (EERE)

relative humidity GIS data at relative humidity GIS data at one-degree resolution of the World from NASA/SSE Dataset Summary Description (Abstract): Relative Humidity at 10 m Above The Surface Of The Earth (%)NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Nov 2007)22-year Monthly & Annual Average (July 1983 - June 2005)Parameter: Relative Humidity at 10 m Above The Surface Of The Earth (%)Internet: http://eosweb.larc.nasa.gov/sse/Note 1: SSE Methodology & Accuracy sections onlineNote 2: Lat/Lon values indicate the lower left corner of a 1x1 degree region. Negative values are south and west; positive values are north and east. Boundaries of the -90/-180 region are -90 to -89 (south) and -180 to -179 (west). The last region, 89/180, is bounded by 89 to 90 (north) and 179 to 180 (east). The mid-point of

180

Study of sustainability of renewable energy sources through GIS analysis techniques  

Science Conference Proceedings (OSTI)

In an integrated vision of the problems concerning energy policies, the use of renewable energy sources should assume a significant role. The 2009/28/EC Directive of the European Parliament and Council has indicated ambitious energy and climate change ... Keywords: GIS, renewable energy sources, solar radiation, sustainable development

Emanuela Caiaffa; Alessandro Marucci; Maurizio Pollino

2012-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "gis solar swera" 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

NREL: Dynamic Maps, GIS Data, and Analysis Tools - About NREL GIS  

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

About NREL GIS About NREL GIS NREL's Geographic Information System (GIS) team analyzes renewable energy resources and many other data sources to determine which energy technologies are viable solutions across the globe and inputs the data into a geographic information system. GIS is a computer-based system used to manipulate, manage, and analyze multidisciplinary geographic and related attribute data. The GIS system is composed of hardware, software, data, and expertise. Using a GIS system allows the user to perform several tasks, including data capture, data management, data manipulation, data analysis, and presentation of results in graphic or report forms. All information in GIS is linked to a spatial reference used to store and access data. GIS data layers can be recombined or manipulated and analyzed

182

BOOK REVIEW: Fruleins und GIs, by Annette Brauerhoch  

E-Print Network (OSTI)

Brauerhoch. Fruleins und GIs. Frankfurt am Main und Basel:Identity. 1 In Fruleins und GIs, Brauerhoch wishes toin the topic of Fruleins and GIs in the immediate postwar

Layne, Priscilla D

2007-01-01T23:59:59.000Z

183

On-Site Recording of Excavation Data Using Mobile GIS  

E-Print Network (OSTI)

Spatial Data Modelling for 3D GIS. Berlin: Springer. Apel,Craig, N. M. 2000. Real-Time GIS Construction and DigitalIntra-site Research Using GIS, Journal of Archaeological

Tripcevich, Nicholas; Wernke, Steven A.

2010-01-01T23:59:59.000Z

184

U.S. Regional Demand Forecasts Using NEMS and GIS  

E-Print Network (OSTI)

Forecasts Using NEMS and GIS National Climatic Data Center.with Changing Boundaries." Use of GIS to Understand Socio-Forecasts Using NEMS and GIS Appendix A. Map Results Gallery

Cohen, Jesse A.; Edwards, Jennifer L.; Marnay, Chris

2005-01-01T23:59:59.000Z

185

NREL: Dynamic Maps, GIS Data, and Analysis Tools - GIS Mailing...  

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

Contents: Wind Barriers Impact Analysis, Wind Transportation Study, New Spatiotemporal Scenario Visualization Capabilities, Rooftop Photovoltaics Analysis, Solar Resource Data...

186

Wind: monthly and annual average wind GIS data at one-degree resolution of  

Open Energy Info (EERE)

monthly and annual average wind GIS data at one-degree resolution of monthly and annual average wind GIS data at one-degree resolution of the World from NASA/SSE Dataset Summary Description (Abstract): Wind Speed At 50 m Above The Surface Of The Earth (m/s)NASA Surface meteorology and Solar Energy (SSE) Release 5 Data Set (Jan. 2005)10-year Monthly & Annual Average (July 1983 - June 1993) Parameter: Wind Speed At 50 m Above The Surface Of The Earth (m/s) Internet: http://eosweb.larc.nasa.gov/sse/ Note: SSE Methodology & Accuracy sections online Created: October 4, 2005 See the NASA Surface meteorology and Solar Energy (SSE) web site at http://eosweb.larc.nasa.gov/sse/. The source data was downloaded from the SSE website at Data Retrieval: Meteorology and Solar Energy > Global data sets as text files. The tabular data was then converted to the shapefile format.

187

Creating a secondary school level GIS program.  

E-Print Network (OSTI)

??The purpose of this thesis is to develop a geographic information science (GIS) program of instruction, implement the program and assess the impact of the (more)

Evans, Dominique

2012-01-01T23:59:59.000Z

188

Alaska Region Offshore GIS Data The US Department of Interior...  

Open Energy Info (EERE)

Region Offshore GIS Data The US Department of Interior's (DOI) Bureau of Ocean Energy Management, Regulation and Enforcement (BOEMRE) published GIS data of offshore information for...

189

NREL: Dynamic Maps, GIS Data, and Analysis Tools - Unsubscribe  

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

GIS Mailing List Unsubscribe Please enter your email address to unsubscribe from the Geographic Information System (GIS) at NREL update list. Complete E-mail Address: Unsubscribe...

190

Web Mapping and Online GIS Applications for Renewable Energy...  

Open Energy Info (EERE)

Web Mapping and Online GIS Applications for Renewable Energy Jump to: navigation, search Tool Summary Name: Web Mapping and Online GIS Applications for Renewable Energy Agency...

191

Kenya-DLR Cooperation | Open Energy Information  

Open Energy Info (EERE)

Cooperation Cooperation Jump to: navigation, search Name Kenya-DLR Cooperation Agency/Company /Organization German Aerospace Center (DLR) Sector Energy Focus Area Renewable Energy Topics Background analysis, Resource assessment Resource Type Software/modeling tools, Dataset, Maps Website http://www.dlr.de/tt/desktopde Program Start 2001 Program End 2004 Country Kenya Eastern Africa References DLR-SWERA Resource Assessments[1] From 2001 to 2004 the German Aerospace Center (DLR) worked with Kenya on solar resource and GIS analysis as part of UNEP's Solar and Wind Energy Resource Assessment (SWERA) Programme. References ↑ "DLR-SWERA Resource Assessments" Retrieved from "http://en.openei.org/w/index.php?title=Kenya-DLR_Cooperation&oldid=328873"

192

Sri Lanka-DLR Cooperation | Open Energy Information  

Open Energy Info (EERE)

Lanka-DLR Cooperation Lanka-DLR Cooperation Jump to: navigation, search Name Sri Lanka-DLR Cooperation Agency/Company /Organization German Aerospace Center (DLR) Sector Energy Focus Area Renewable Energy Topics Background analysis, Resource assessment Resource Type Software/modeling tools, Dataset, Maps Website http://www.dlr.de/tt/desktopde Program Start 2001 Program End 2004 Country Sri Lanka Southern Asia References DLR-SWERA Resource Assessments[1] From 2001 to 2004 the German Aerospace Center (DLR) worked with Sri Lanka on solar resource and GIS analysis as part of UNEP's Solar and Wind Energy Resource Assessment (SWERA) Programme. References ↑ "DLR-SWERA Resource Assessments" Retrieved from "http://en.openei.org/w/index.php?title=Sri_Lanka-DLR_Cooperation&oldid=329224"

193

China-DLR Resource Assessments | Open Energy Information  

Open Energy Info (EERE)

Page Page Edit with form History Facebook icon Twitter icon » China-DLR Resource Assessments Jump to: navigation, search Name China-DLR Resource Assessments Agency/Company /Organization German Aerospace Center (DLR) Sector Energy Focus Area Renewable Energy Topics Background analysis, Resource assessment Resource Type Software/modeling tools, Dataset, Maps Website http://www.dlr.de/tt/desktopde Program Start 2001 Program End 2004 Country China Eastern Asia References DLR-SWERA Resource Assessments[1] From 2001 to 2004 the German Aerospace Center (DLR) worked with China on solar resource and GIS analysis as part of UNEP's Solar and Wind Energy Resource Assessment (SWERA) Programme. References ↑ "DLR-SWERA Resource Assessments" Retrieved from

194

Ethiopia-DLR Resource Assessments | Open Energy Information  

Open Energy Info (EERE)

Ethiopia-DLR Resource Assessments Ethiopia-DLR Resource Assessments Jump to: navigation, search Name Ethiopia-DLR Cooperation Agency/Company /Organization German Aerospace Center (DLR) Sector Energy Focus Area Renewable Energy Topics Background analysis, Resource assessment Resource Type Software/modeling tools, Dataset, Maps Website http://www.dlr.de/tt/desktopde Program Start 2001 Program End 2004 Country Ethiopia Eastern Africa References DLR-SWERA Resource Assessments[1] From 2001 to 2004 the German Aerospace Center (DLR) worked with Ethiopia on solar resource and GIS analysis as part of UNEP's Solar and Wind Energy Resource Assessment (SWERA) Programme. References ↑ "DLR-SWERA Resource Assessments" Retrieved from "http://en.openei.org/w/index.php?title=Ethiopia-DLR_Resource_Assessments&oldid=328651"

195

GIS for E-Planning in India  

Science Conference Proceedings (OSTI)

With increasing globalization and the integration of various economies, public finance and fiscal policy have acquired a new dimension in countries around the world, including India. This new era has witnessed a massive proliferation of various information ... Keywords: GIS Knowledge Construction, GIS Usage, Information and Communication Technologies ICTs, Non-Western World, Public Administration

Falguni Mukherjee, Rina Ghose

2013-04-01T23:59:59.000Z

196

NREL: Dynamic Maps, GIS Data, and Analysis Tools - Data Visualization &  

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

MapSearch Searching for maps has never been easier. A screen capture of the MapSearch Map view option Bookmark and Share Data Visualization & Geospatial Tools NREL's Geographic Information System (GIS) Team has developed tools that allow users to apply these data. These tools help determine things such as how much electricity can be produced from solar systems on a house or what renewable resources are available in a specific areas. Please visit http://maps.nrel.gov/ for the most current list of available NREL's GIS tools. If you have difficulty using these tools because of a disability, please contact the Webmaster. General Interactive Mapping Tools Access RE Atlas, Solar Power Prospector, PVWatts, and other popular tools that dynamically generate maps of renewable energy resources.

197

Assessing urban and rural neighborhood characteristics using audit and GIS data: derivation and reliability of constructs  

E-Print Network (OSTI)

characteristics using audit and GIS data: derivation andgeographic information system (GIS) to create environmental-such as from gov- ernment GIS sources or by review of aerial

Evenson, Kelly R; Sotres-Alvarez, Daniela; Herring, Amy H; Messer, Lynne; Laraia, Barbara A; Rodrguez, Daniel A

2009-01-01T23:59:59.000Z

198

Coupling GIS and LCA for biodiversity assessments of land use: Part 2: Impact assessment  

E-Print Network (OSTI)

Evenness . Geographic information systems (GIS) .GIS-based inventory modeling . Habitats . Hemeroby . Land0199-9 LAND USE IN LCA Coupling GIS and LCA for biodiversity

Geyer, Roland; Lindner, Jan P.; Stoms, David M.; Davis, Frank W.; Wittstock, Bastian

2010-01-01T23:59:59.000Z

199

Flexibility by Design: How mobile GIS meets the needs of archaeological survey  

E-Print Network (OSTI)

1990. Interpreting space: GIS and archaeology. Applicationscollection with mobile GIS: Dependencies between semanticsfor those bringing mobile GIS to their field research

Tripcevich, Nicholas

2004-01-01T23:59:59.000Z

200

Solar: annual average direct normal (DNI) map at 40km resolution for  

Open Energy Info (EERE)

map at 40km resolution for map at 40km resolution for Central America from NREL Dataset Summary Description (Abstract): A map depicting model estimates of monthly average daily total radiation using inputs derived from satellite and surface observations of cloud cover, aerosol optical depth, precipitable water vapor, albedo, atmospheric pressure and ozone sampled at a 40km resolution. (Purpose): A visual depiction of solar energy resource for concentrating solar power systems. Source NREL Date Released December 11th, 2003 (11 years ago) Date Updated October 30th, 2007 (7 years ago) Keywords Central America direct normal DNI map NREL solar SWERA UNEP Data application/pdf icon Download Map (pdf, 67.1 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency

Note: This page contains sample records for the topic "gis solar swera" 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

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

202

NREL GIS Data: Global Offshore Wind GIS data for offshore wind...  

Open Energy Info (EERE)

Global Offshore Wind GIS data for offshore wind speed (meterssecond). Specified to Exclusive Economic Zones (EEZ).

Wind resource based on NOAA blended sea winds and...

203

Integrated: Geospatial Toolkit for Sri Lanka from NREL | OpenEI  

Open Energy Info (EERE)

Sri Lanka from NREL Sri Lanka from NREL Dataset Summary Description (Abstract): Stand-alone and easy to use geographic toolkit that allows non-GIS users to relate the renewable energy resource (solar and wind) data to other geographic data, such as land use, protected areas, elevation, etc. (Purpose): The Solar and Wind Energy Resource Assessment (SWERA) Geospatial Toolkit (GsT) is a map-based software application that can be used for decision making and policy analysis in addition to planning for future energy projects. The SWERA application utilizes Geographical Information Systems (GIS) to develop common scenarios to evaluate potential locations for solar or wind energy plants. (Supplemental Information): The zip file contains the geospatial toolkit executable, Getting Started Document, and metadata.

204

Integrated: Geospatial Toolkit for Bangladesh from NREL | OpenEI  

Open Energy Info (EERE)

Bangladesh from NREL Bangladesh from NREL Dataset Summary Description (Abstract): Stand-alone and easy to use geographic toolkit that allows non-GIS users to relate the renewable energy resource (solar and wind) data to other geographic data, such as land use, protected areas, elevation, etc. (Purpose): The Solar and Wind Energy Resource Assessment (SWERA) Geospatial Toolkit (GsT) is a map-based software application that can be used for decision making and policy analysis in addition to planning for future energy projects. The SWERA application utilizes Geographical Information Systems (GIS) to develop common scenarios to evaluate potential locations for solar or wind energy plants. (Supplemental Information): The zip file contains the geospatial toolkit executable, Getting Started Document, and metadata.

205

Integrated: Geospatial Toolkit for Brazil from NREL | OpenEI  

Open Energy Info (EERE)

Brazil from NREL Brazil from NREL Dataset Summary Description (Abstract): Stand-alone and easy to use geographic toolkit that allows non-GIS users to relate the renewable energy resource (solar and wind) data to other geographic data, such as land use, protected areas, elevation, etc. (Purpose): The Solar and Wind Energy Resource Assessment (SWERA) Geospatial Toolkit (GsT) is a map-based software application that can be used for decision making and policy analysis in addition to planning for future energy projects. The SWERA application utilizes Geographical Information Systems (GIS) to develop common scenarios to evaluate potential locations for solar or wind energy plants. (Supplemental Information): The zip file contains the geospatial toolkit executable, Getting Started Document, and metadata.

206

Integrated: Geospatial Toolkit for Honduras from NREL | OpenEI  

Open Energy Info (EERE)

Honduras from NREL Honduras from NREL Dataset Summary Description (Abstract): Stand-alone and easy to use geographic toolkit that allows non-GIS users to relate the renewable energy resource (solar and wind) data to other geographic data, such as land use, protected areas, elevation, etc. (Purpose): The Solar and Wind Energy Resource Assessment (SWERA) Geospatial Toolkit (GsT) is a map-based software application that can be used for decision making and policy analysis in addition to planning for future energy projects. The SWERA application utilizes Geographical Information Systems (GIS) to develop common scenarios to evaluate potential locations for solar or wind energy plants. (Supplemental Information): The zip file contains the geospatial toolkit executable, Getting Started Document, and metadata.

207

Integrated: Geospatial Toolkit for Guatemala from NREL | OpenEI  

Open Energy Info (EERE)

Guatemala from NREL Guatemala from NREL Dataset Summary Description (Abstract): Stand-alone and easy to use geographic toolkit that allows non-GIS users to relate the renewable energy resource (solar and wind) data to other geographic data, such as land use, protected areas, elevation, etc. (Purpose): The Solar and Wind Energy Resource Assessment (SWERA) Geospatial Toolkit (GsT) is a map-based software application that can be used for decision making and policy analysis in addition to planning for future energy projects. The SWERA application utilizes Geographical Information Systems (GIS) to develop common scenarios to evaluate potential locations for solar or wind energy plants. (Supplemental Information): The zip file contains the geospatial toolkit executable, Getting Started Document, and metadata.

208

Integrated: Geospatial Toolkit for El Salvador from NREL | OpenEI  

Open Energy Info (EERE)

El Salvador from NREL El Salvador from NREL Dataset Summary Description (Abstract): Stand-alone and easy to use geographic toolkit that allows non-GIS users to relate the renewable energy resource (solar and wind) data to other geographic data, such as land use, protected areas, elevation, etc. (Purpose): The Solar and Wind Energy Resource Assessment (SWERA) Geospatial Toolkit (GsT) is a map-based software application that can be used for decision making and policy analysis in addition to planning for future energy projects. The SWERA application utilizes Geographical Information Systems (GIS) to develop common scenarios to evaluate potential locations for solar or wind energy plants. (Supplemental Information): The zip file contains the geospatial toolkit executable, Getting Started Document, and metadata.

209

Integrated: Geospatial Toolkit for Ghana from NREL | OpenEI  

Open Energy Info (EERE)

Ghana from NREL Ghana from NREL Dataset Summary Description (Abstract): Stand-alone and easy to use geographic toolkit that allows non-GIS users to relate the renewable energy resource (solar and wind) data to other geographic data, such as land use, protected areas, elevation, etc. (Purpose): The Solar and Wind Energy Resource Assessment (SWERA) Geospatial Toolkit (GsT) is a map-based software application that can be used for decision making and policy analysis in addition to planning for future energy projects. The SWERA application utilizes Geographical Information Systems (GIS) to develop common scenarios to evaluate potential locations for solar or wind energy plants. (Supplemental Information): The zip file contains the geospatial toolkit executable, Getting Started Document, and metadata.

210

Integrated: Geospatial Toolkit for Nicaragua from NREL | OpenEI  

Open Energy Info (EERE)

Nicaragua from NREL Nicaragua from NREL Dataset Summary Description (Abstract): Stand-alone and easy to use geographic toolkit that allows non-GIS users to relate the renewable energy resource (solar and wind) data to other geographic data, such as land use, protected areas, elevation, etc. (Purpose): The Solar and Wind Energy Resource Assessment (SWERA) Geospatial Toolkit (GsT) is a map-based software application that can be used for decision making and policy analysis in addition to planning for future energy projects. The SWERA application utilizes Geographical Information Systems (GIS) to develop common scenarios to evaluate potential locations for solar or wind energy plants. (Supplemental Information): The zip file contains the geospatial toolkit executable, Getting Started Document, and metadata.

211

Integrated: Enhanced Geospatial Toolkit for Sri Lanka from NREL | OpenEI  

Open Energy Info (EERE)

Enhanced Geospatial Toolkit for Sri Lanka from NREL Enhanced Geospatial Toolkit for Sri Lanka from NREL Dataset Summary Description (Abstract): Stand-alone and easy to use geographic toolkit that allows non-GIS users to relate the renewable energy resource (solar and wind) data to other geographic data, such as land use, protected areas, elevation, etc. (Purpose): The Solar and Wind Energy Resource Assessment (SWERA) Geospatial Toolkit (GsT) is a map-based software application that can be used for decision making and policy analysis in addition to planning for future energy projects. The SWERA application utilizes Geographical Information Systems (GIS) to develop common scenarios to evaluate potential locations for solar or wind energy plants. (Supplemental Information): Enhancements to the GeoSpatial Toolkit (GsT) were funded by USAID's Southeast Asia Regional Initiative/Energy (SARI/E). These enhancements include additional functionality and data development not available with the standard GeoSpatial Toolkit.

212

Climate: monthly and annual average atmospheric pressure GIS data at  

Open Energy Info (EERE)

atmospheric pressure GIS data at atmospheric pressure GIS data at one-degree resolution of the World from NASA/SSE Dataset Summary Description (Abstract):Atmospheric Pressure (kPa)NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Nov 2007)22-year Monthly & Annual Average (July 1983 - June 2005)Parameter: Atmospheric Pressure (kPa)Internet: http://eosweb.larc.nasa.gov/sse/Note 1: SSE Methodology & Accuracy sections onlineNote 2: Lat/Lon values indicate the lower left corner of a 1x1 degree region. Negative values are south and west; positive values are north and east. Boundaries of the -90/-180 region are -90 to -89 (south) and -180 to -179 (west). The last region, 89/180, is bounded by 89 to 90 (north) and 179 to 180 (east). The mid-point of the region is +0.5 added to the the Lat/Lon value. These data are

213

Determinación del potencial solar y eólico en El Salvador | OpenEI  

Open Energy Info (EERE)

Determinación del potencial solar y eólico en El Salvador Determinación del potencial solar y eólico en El Salvador Dataset Summary Description (Abstract): Methodology utilizes historical ground data that was digitized from analogue strip charts. The spatial distribution was modeled using vegetation type. (Purpose): Historical records have been revived and a ground based method elaborated. (Supplemental Information): Please contact Ismael Sanchez at Universidad Centroamericana (UCA) regarding the report and analysis. Source UCA Date Released August 31st, 2005 (9 years ago) Date Updated November 07th, 2007 (7 years ago) Keywords América Latina documentation El Salvador GEF solar SWERA UNEP Data application/pdf icon Download Report (pdf, 13.4 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

214

Eagle Vision : new directions in K-12 GIS.  

E-Print Network (OSTI)

??Eagle Vision is an NSF-funded three-year project that instructs High School teachers working in tribal schools in GIS and GIT, and in GIS-based curriculum design. (more)

Wiley, Cody

2008-01-01T23:59:59.000Z

215

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

216

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

217

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

218

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

219

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

220

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

Note: This page contains sample records for the topic "gis solar swera" 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

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

222

OpenEI - solar radiation  

Open Energy Info (EERE)

monthly and monthly and annual average latitude tilt GIS data at 40km resolution for Mexico, Central America, and the Caribbean Islands from NREL http://en.openei.org/datasets/node/500 (Abstract):  Monthly Average Solar Resource for flat-plate collectors tilted at latitude, for Mexico, Central America,
and the Caribbean Islands. (Purpose):  Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented due south at an angle from horizontal equal to the latitude of the

223

Establishment and Application of GIS Database in Neighborhood Renewal  

Science Conference Proceedings (OSTI)

This paper is about the establishment and application of GIS database in neighborhood renewal. It first mines the needed data for database establishment from literature review. Then, the GIS database will be designed for neighborhood renewal, which integrates ... Keywords: GIS, database, neighborhood renewal

Rui Li; Bing He

2009-04-01T23:59:59.000Z

224

ORNL DAAC, global climate data, GIS formats  

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

Data in GIS Formats Data in GIS Formats ORNL DAAC has re-released a key climatology data set in two additional formats especially suitable for geographic information system (GIS) users. Version 2.1 of "Global 30-Year Mean Monthly Climatology, 1930-1960 (Cramer and Leemans)" now offers the data in ASCII GRID format and binary format. These formats can be read directly into software packages such as ESRI's ARC/INFO and ERDAS' IMAGINE. The Cramer and Leemans climatology data set contains monthly averages of mean temperature, temperature range, precipitation, rain days, and sunshine hours for the terrestrial surface of the globe. It is gridded at a 0.5-degree longitude/latitude resolution. The Cramer and Leemans data are also available in the original ASCII format, which can be read in FORTRAN or with programs such as SAS.

225

infosheet  

Open Energy Info (EERE)

Overview Overview As energy planners seek cleaner energy solutions using renewable energy technologies, the availability of reliable, accurate, and easily accessible solar and wind energy resource data is critical and can greatly accelerate the deployment of these technologies. The Solar and Wind Energy Resource Assessment (SWERA) is a pilot project designed to compile such data in 13 developing countries and to facilitate investments in solar and wind energy projects. With a US$9.3 million investment including US$6.8 million from the Global Environment Facility (GEF), SWERA is developing new informational tools for energy planners and project developers. These tools include regional and national maps of solar and wind energy resources and a geographical information system (GIS)

226

SF STATE Extended Learning INFORMATION SYSTEMS (GIS)  

E-Print Network (OSTI)

, state agencies such as the Department of Fish and Game, and federal agencies such as the US ForestSF STATE Extended Learning 2013/2014 GEOGRAPHIC INFORMATION SYSTEMS (GIS) at San Francisco State of environmental decision making is being increasingly relied upon by businesses and agencies in Northern

227

GIS and Transportation: Status and Challenges  

Science Conference Proceedings (OSTI)

The evolution of GIS-T is characterized in three stages: the map view, the navigational view, and the behavioral view. The static nature of the map view favors applications related to inventory and description, and raises difficult questions of accuracy ... Keywords: cartography, geographic information system, navigation, spatial behavior, spatial database

Michael F. Goodchild

2000-06-01T23:59:59.000Z

228

GIS For Mapping of Lane-Level Data and Re-Creation in Real Time For Navigation  

E-Print Network (OSTI)

Zhang, Fengyuan Wang, GIS and GPS Based Vehicle GuidanceSpatial Data Standards and GIS Interoperability, ESRI, WhiteHill, 1998. M. F. Goodchild, GIS and transportation: Status

Sutarwala, Behlul Zoeb

2011-01-01T23:59:59.000Z

229

Usability Evaluation of GIS used for Viticulture Purposes : Empirical study of GIS in Israeli vinyards with focus on the user experience.  

E-Print Network (OSTI)

??GIS is a system for capturing, storing, analyzing and managing data and associated attributes that are spatially referenced to the earth. A GIS integrates hardware, (more)

Kristoffersen, Irit

2008-01-01T23:59:59.000Z

230

South America PAR SR Solar Model from INPE and LABSOLAR | OpenEI  

Open Energy Info (EERE)

PAR SR Solar Model from INPE and LABSOLAR PAR SR Solar Model from INPE and LABSOLAR Dataset Summary Description (Abstract): Mean values of PAR Solar Radiation in kWh/m2/day for 40km cells for 1 year (month, season, year) based on data from 1995 to 2005 (Purpose): To provide a set of consistent, reliable, verifiable, and accessible global data sets for international and in-country investors and other stakeholders (Supplemental Information): The BRASIL-SR model (developed by INPE - National Institute for Space Research) and the ARCVIEW software were used to produce the dataset and SHAPE files. The assessment of reliability levels of the BRASIL-SR model were performed through the evaluation of the deviations shown by the estimated values for solar radiation flux vis-à-vis the values measured at the surface (ground truth). This evaluation was done in two phases. The first phase consisted in an inter-comparison between the core radiation transfer models adopted by the SWERA Project to map the solar energy n the various countries participating in the project. The HELIOSAT model took part in this phase like benchmark due to its employment to apply solar energy resources in countries from European Union. In the second phase, the solar flux estimates provided by the BRASIL-SR model were compared with measured values acquired at several solarimetric stations spread along the Brazilian territory. The BRASIL-SR model is not validated for areas covered by snow.

231

South America Latitude Tilted SR Solar Model from INPE and LABSOLAR |  

Open Energy Info (EERE)

Latitude Tilted SR Solar Model from INPE and LABSOLAR Latitude Tilted SR Solar Model from INPE and LABSOLAR Dataset Summary Description (Abstract): Mean values of Latitude Tilted Solar Radiation in kWh/m2/day for 40km cells for 1 year (month, season, year) based on data from 1995 to 2005 (Purpose): To provide a set of consistent, reliable, verifiable, and accessible global data sets for international and in-country investors and other stakeholders (Supplemental Information): The BRASIL-SR model (developed by INPE - National Institute for Space Research) and the ARCVIEW software were used to produce the dataset and SHAPE files.The assessment of reliability levels of the BRASIL-SR model were performed through the evaluation of the deviations shown by the estimated values for solar radiation flux vis-à-vis the values measured at the surface (ground truth). This evaluation was done in two phases. The first phase consisted in an inter-comparison between the core radiation transfer models adopted by the SWERA Project to map the solar energy in the various countries participating in the project. The HELIOSAT model took part in this phase like benchmark due to its employment to map solar energy resources in countries from European Union. In the second phase, the solar flux estimates provided by the BRASIL-SR model were compared with measured values acquired at several solarimetric stations spread along the Brazilian territory. The BRASIL-SR model is not validated for areas covered by snow.

232

NREL: Dynamic Maps, GIS Data, and Analysis Tools - Solar Data  

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

Last Updated Metadata KMZ Files Lower 48 and Hawaii DNI 10km Resolution 1998 to 2009 (Zip 9.6 MB) 09122012 Direct Normal.xml Direct Normal.kmz Lower 48 and Hawaii GHI 10km...

233

NREL GIS Data: Hawaii Low Resolution Photovoltaic Solar Resource  

Open Energy Info (EERE)

the uncertainty of the modeled estimates increase with distance from reliable measurement sources and with the complexity of the terrain. Units are in watt...

234

Solar: monthly and annual average global horizontal (GHI) GIS...  

Open Energy Info (EERE)

on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and...

235

NREL GIS Data: Hawaii Low Resolution Concentrating Solar Power...  

Open Energy Info (EERE)

on cloud cover, atmostpheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and...

236

Solar: monthly and annual average direct normal (DNI) GIS data...  

Open Energy Info (EERE)

on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and...

237

NREL GIS Data: Hawaii High Resolution Concentrating Solar Power  

Open Energy Info (EERE)

data, and monthly averages of atmospheric water vapor, trace gases, and the amount of aerosols in the atmosphere to calculate the hourly total insolation (sun and sky) falling on a...

238

Solar: monthly and annual latitude tilt horizontal GIS data at...  

Open Energy Info (EERE)

on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and...

239

NREL GIS Data: Alaska Low Resolution Photovoltaic Solar Resource  

Open Energy Info (EERE)

on cloud cover, atmostpheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and...

240

Solar: monthly and annual average latitude tilt irradiance GIS...  

Open Energy Info (EERE)

& Annual Average (July 1983 - June 2005)
Parameter: Latitude Tilt Radiation (kWhm2day)
Internet: http:eosweb.larc.nasa.govsse
Note 1:...

Note: This page contains sample records for the topic "gis solar swera" 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

CyberGIS software: a synthetic review and integration roadmap  

Science Conference Proceedings (OSTI)

CyberGIS defined as cyberinfrastructure-based geographic information systems (GIS) has emerged as a new generation of GIS representing an important research direction for both cyberinfrastructure and geographic information science. This study introduces a 5-year effort funded by the US National Science Foundation to advance the science and applications of CyberGIS, particularly for enabling the analysis of big spatial data, computationally intensive spatial analysis and modeling (SAM), and collaborative geospatial problem-solving and decision-making, simultaneously conducted by a large number of users. Several fundamental research questions are raised and addressed while a set of CyberGIS challenges and opportunities are identified from scientific perspectives. The study reviews several key CyberGIS software tools that are used to elucidate a vision and roadmap for CyberGIS software research. The roadmap focuses on software integration and synthesis of cyberinfrastructure, GIS, and SAM by defining several key integration dimensions and strategies. CyberGIS, based on this holistic integration roadmap, exhibits the following key characteristics: high-performance and scalable, open and distributed, collaborative, service-oriented, user-centric, and community-driven. As a major result of the roadmap, two key CyberGIS modalities gateway and toolkit combined with a community-driven and participatory approach have laid a solid foundation to achieve scientific breakthroughs across many geospatial communities that would be otherwise impossible.

Wang, Shaowen [University of Illinois, Urbana-Champaign; Anselin, Luc [Arizona State University; Bhaduri, Budhendra L [ORNL; Cosby, Christopher [University Navstar Consortium, Boulder, CO; Goodchild, Michael [University of California, Santa Barbara; Liu, Yan [University of Illinois, Urbana-Champaign; Nygers, Timothy L. [University of Washington, Seattle

2013-01-01T23:59:59.000Z

242

Coupling GIS and LCA for biodiversity assessments of land use: Part 1: Inventory modeling  

E-Print Network (OSTI)

scenarios were developed with GIS modeling. Current land use0170-9 LAND USE IN LCA Coupling GIS and LCA for biodiversityGeographic information systems (GIS) are adept at modeling

Geyer, Roland; Stoms, David M.; Lindner, Jan P.; Davis, Frank W.; Wittstock, Bastian

2010-01-01T23:59:59.000Z

243

A spatial location-allocation GIS framework for managing water resources in a savanna nature reserve  

E-Print Network (OSTI)

dry season. Ryan & Getz: GIS framework for managing waterpolygons ver 2.6 for ArcView GIS. Avenue script available atspatial locationallocation GIS framework for managing water

Ryan, Sadie

2006-01-01T23:59:59.000Z

244

A GIS-based identification of potentially significant wildlife habitats associated with roads in Vermont  

E-Print Network (OSTI)

database and the corresponding GIS data layer. BiographicalD. Premo. 2003. Using a Towns GIS Project to Create a Deer-Science and Partnerships A GIS-B ASED I DENTIFICATION OF P

Austin, John M.; Viani, Kevin; Hammond, Forrest; Slesar, Chris

2005-01-01T23:59:59.000Z

245

The Role of GIS in Decision Support Systems | Department of Energy  

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

The Role of GIS in Decision Support Systems The Role of GIS in Decision Support Systems The Role of GIS in Decision Support Systems More Documents & Publications Microsoft Word -...

246

A spatial location-allocation GIS framework for managing water sources in a savanna nature reserve  

E-Print Network (OSTI)

dry season. Ryan & Getz: GIS framework for managing waterpolygons ver 2.6 for ArcView GIS. Avenue script available atspatial locationallocation GIS framework for managing water

Ryan, Sadie J.; Getz, W M

2005-01-01T23:59:59.000Z

247

Integrating community values and fostering interagency collaboration through outreach with interactive GIS models  

E-Print Network (OSTI)

layers for a comprehensive GIS database. Her degrees includeInstitute. 2004. ArcInfo GIS program. Redlands, California.O UTREACH W ITH I NTERACTIVE GIS M ODELS Mike McCoy (Phone:

McCoy, Michael C.; Steelman, Candice

2005-01-01T23:59:59.000Z

248

Borderland Intimacies: GIs, Koreans, and American Military Landscapes in Cold War Korea  

E-Print Network (OSTI)

Press, Goedde, Petra. GIs and Germans: Culture, Gender, andFor many young American GIs, Korea was the first strangeof Prostitutes in American GIs Town in Korea]. Masters

Hwang, Whitney Taejin

2010-01-01T23:59:59.000Z

249

Integrating Community Values and Fostering Interagency Collaboration through Outreach with Interactive GIS Models  

E-Print Network (OSTI)

layers for a comprehensive GIS database. Her degrees includeInstitute. 2004. ArcInfo GIS program. Redlands, California.O UTREACH W ITH I NTERACTIVE GIS M ODELS Mike McCoy (Phone:

McCoy, Michael C.; Steelman, Candice

2005-01-01T23:59:59.000Z

250

GIS-based model to support programmatic section 7 consultations on the Canada lynx in Colorado  

E-Print Network (OSTI)

Geographic Information Systems (GIS) Applications CHAPTERIV-D GIS-BASED MODEL TO SUPPORT PROGRAMMATIC SECTION 7and the FWS, constructed a GIS-based model of lynx habitat.

Wostl, Roland; Wright, Patrick

2004-01-01T23:59:59.000Z

251

Carsharing and the Built Environment: A GIS-Based Study of One U.S. Operator  

E-Print Network (OSTI)

AND THE BUILT ENVIRONMENT: A GIS-BASED STUDY OF ONE U.S.and demographic factors in this GIS-based multivariateInformation System (GIS)-based studies of carsharing supply

Stillwater, Tai; Mokhtarian, Patricia L; Shaheen, Susan

2008-01-01T23:59:59.000Z

252

Environmental GIS database for the White Sea  

E-Print Network (OSTI)

Introduction The European Commission INCO Copernicus project was promoted in autumn 2000 as "Sustainable management of the marine ecosystem and living resources of the White Sea". One of the scientific and technical objectives is t o create dedicated environmental, ecological and socio-economic databases integrated in a Geographical Information System (GIS) for the White Sea region. To ensure the access to the database development also in the future, the open source gis approach as GRASS5.0 was chosen [1]. Into the White Sea GRASS-GIS database the bathymetry data with resolution 1 by 0.5 minutes was used to model the bottom surface of the White Sea. Russian coordinate system of Pulkova 42 was used. DCW vector data were used for the shoreline and the White Sea was divided to 7 traditional geographic areas. Raster layer of the bathymetry was divided with vector polygons to appropriate geographic areas and the area and volume were calculated. The hydrological and chemical parameters as

Seppo Kaitala; Anatoly Shavykin; Vladimir A. Volkov

2002-01-01T23:59:59.000Z

253

NREL: Dynamic Maps, GIS Data, and Analysis Tools - Hydrogen Maps  

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

Donna Heimiller (2005). For more information on hydrogen resources, access the Hydrogen Energy Analysis and Tools site. For Geographic Information System (GIS) hydrogen resource...

254

California Division of Oil, Gas, and Geothermal Resources - GIS...  

Open Energy Info (EERE)

Division of Oil, Gas, and Geothermal Resources - GIS and Well data The California Division of Oil, Gas, and Geothermal Resources contains oil, gas, and geothermal data for the...

255

U.S. Regional Demand Forecasts Using NEMS and GIS  

E-Print Network (OSTI)

Administration. 2004c. "Energy Glossary Website."http://www.eia.doe.gov/glossary/. Energy InformationGIS Appendix G. Glossary AEO : The Annual Energy Outlook,

Cohen, Jesse A.; Edwards, Jennifer L.; Marnay, Chris

2005-01-01T23:59:59.000Z

256

NREL GIS Data: Alaska Low Resolution Wind Resource Annual average...  

Open Energy Info (EERE)

and data instances (values) within the dataset do not contradict each other.

    National Renewable Energy Lab (NREL) 4 DISCLAIMER NOTICE This GIS data was developed by...

257

Climate: monthly and annual average relative humidity GIS data...  

Open Energy Info (EERE)

Climate: monthly and annual average relative humidity GIS data at one-degree resolution of the World from NASASSE

(Abstract):
Relative Humidity at 10 m...

258

Application of Open Source GIS in District Health Information Systems.  

E-Print Network (OSTI)

??This thesis considers issues surrounding use and development of open source geographical information systems (GIS) as a part of the district health information systems in (more)

Andresen, Trond

2005-01-01T23:59:59.000Z

259

Studio ed analisi di sistemi GIS e loro applicazioni.  

E-Print Network (OSTI)

??In questa tesi viene effettuato uno studio approfondito dei Sistemi Informativi Geografici. Prima di tuttto stato descritto un generico GIS con tutte le sue (more)

Azzaro, Marco

2007-01-01T23:59:59.000Z

260

NREL: Dynamic Maps, GIS Data, and Analysis Tools - Renewable...  

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

NREL Energy Analysis Science and Technology Technology Transfer Technology Deployment Energy Systems Integration Dynamic Maps, GIS Data, and Analysis Tools Search More Search...

Note: This page contains sample records for the topic "gis solar swera" 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

Turning data into information: assessing and reporting GIS metadata integrity using integrated computing technologies.  

E-Print Network (OSTI)

??A Geographic Information System (GIS) serves as the tangible and intangible means by which spatially related phenomena can be created, analyzed and rendered. GIS metadata (more)

Mulrooney, Timothy J.

2009-01-01T23:59:59.000Z

262

An operation-based approach to the communication of spatial data quality in GIS.  

E-Print Network (OSTI)

??Spatial data used in Geographic Information Systems (GIS) are prone to uncertainties that can undermine their usability. Improving the GIS users' awareness of these uncertainties (more)

Zargar, Amin.

2009-01-01T23:59:59.000Z

263

Coupling GIS and LCA for biodiversity assessments of land use: Part 1: Inventory modeling  

E-Print Network (OSTI)

of land use Part 1: Inventory modeling Roland Geyer & Davidthe use of GIS-based inventory modeling to generatedemonstrated that GIS-based inventory modeling of land use

Geyer, Roland; Stoms, David M.; Lindner, Jan P.; Davis, Frank W.; Wittstock, Bastian

2010-01-01T23:59:59.000Z

264

Usability evaluation of web-based GIS: case study  

Science Conference Proceedings (OSTI)

Dependency of the majority of mankind activities on information and communication technologies in general and on geographic information is increasing rapidly. This is one of the reasons why usability of specialized software tools (GIS) belongs today ... Keywords: computer-human interaction, usability, web-based GIS

Jitka Komarkova; Kamil Jakoubek; Miloslav Hub

2009-12-01T23:59:59.000Z

265

Using GIS and Individual-Level Data for Whole Communities  

Science Conference Proceedings (OSTI)

Geographic Information Systems (GIS) can assist the reintegration of the estranged fields of American political and social history when focused on individual-level political and social information for whole communities of moderate size. This article ... Keywords: GIS, historical geography, political history

Donald A. Debats

2009-08-01T23:59:59.000Z

266

A GIS based approach to predicting road surface temperatures  

Science Conference Proceedings (OSTI)

Treatment of transport networks of the winter period is a key responsibility of maintenance teams whether in the private or public sector. With tightening budgets and increasing statutory requirements, maintenance teams are looking to improve the treatment ... Keywords: ASP.NET, ArcGIS server, GIS, ice prediction, roads

Richard Fry; Lionel Slade; George Taylor; Ian Davy

2007-11-01T23:59:59.000Z

267

GIS and the Coastal Zone: An Annotated Bibliography  

E-Print Network (OSTI)

Oil Spill. Paper presented at Oil Spills Management and Legislative Implications Conference. Newport, RI. May 15-18, 1990. Published by the A.S.C.E. KEYWORDS: GIS, Coastal management, Oil Spill. NOTES: GIS was used during the oil spill disaster to store spill position data, convert spatial data

California at Santa Barbara, University of

268

Generating seamless surfaces for transport and dispersion modeling in GIS  

Science Conference Proceedings (OSTI)

A standard use of triangulation in GIS is to model terrain surface using TIN. In many simulation models of physical phenomena, triangulation is often used to depict the entire spatial domain, which may include buildings, landmarks and other surface objects ... Keywords: CAD, Computational fluid dynamics, Computational geometry, GIS, Mesh generation, Transport and dispersion

Fernando Camelli; Jyh-Ming Lien; Dayong Shen; David W. Wong; Matthew Rice; Rainald Lhner; Chaowei Yang

2012-04-01T23:59:59.000Z

269

Brazil Global Horizontal Solar Radiation Model (40km) from INPE | OpenEI  

Open Energy Info (EERE)

40km) from INPE 40km) from INPE Dataset Summary Description (Abstract): Global horizontal solar radiation in kWh/m2/day for 1 year organized into cells with 40km x 40km (Purpose): To provide a set of consistent, reliable, verifiable, and accessible global data sets for international and in-country investors and other stakeholders (Supplemental Information): The BRASIL-SR model and the SPRING software (both developed by INPE - National Institute for Space Research) were used to produce the dataset and SHAPE files. The assessment of reliability levels of the BRASIL-SR model were performed through the evaluation of the deviations shown by the estimated values for solar radiation flux vis-à-vis the values measured at the surface (ground truth). This evaluation was done in two phases. The first phase consisted in an inter-comparison between the core radiation transfer models adopted by the SWERA Project to map the solar energy in the various countries participating in the project. The HELIOSAT model took art in this phase like benchmark due to its employment to map solar energy resources in countries from European Union. In the second phase, the solar flux estimates provided by the BRASIL-SR model were compared with measured values acquired at several solarimetric stations spread along the Brazilian territory.

270

Brazil Latitude Tilted Solar Radiation Model (10km) from INPE and LABSOLAR  

Open Energy Info (EERE)

10km) from INPE and LABSOLAR 10km) from INPE and LABSOLAR Dataset Summary Description (Abstract): Latitude tilted solar radiation in kWh/m2/day for 1 year organized into cells with 10km x 10km (Purpose): The BRASIL-SR model and the SPRING software (both developed by INPE -National Institute for Space Research) were used to produce the dataset and SHAPE files (Supplemental Information): The assessment of reliability levels of the BRASIL-SR model were performed through the evaluation of the deviations shown by the estimated values for solar radiation flux vis-à-vis the values measured at the surface (ground truth). This evaluation was done in two phases. The first phase consisted in an inter-comparison between the core radiation transfer models adopted by the SWERA Project to map the solar energy in the various countries participating in the project. The HELIOSAT model took part in this phase like benchmark due to its employment to map solar energy resources incountries from European Union. In the second phase, the solar flux estimates providedby the BRASIL-SR model were compared with measured values acquired at several solarimetric stations spread along the Brazilian territory

271

Brazil Direct Normal Solar Radiation Model (40km) from INPE and LABSOLAR |  

Open Energy Info (EERE)

40km) from INPE and LABSOLAR 40km) from INPE and LABSOLAR Dataset Summary Description (Abstract): Normal direct solar radiation in kWh/m2/day for 1 year organized into cells with 40km x 40km (Purpose): To provide a set of consistent, reliable, verifiable, and accessible global data sets for international and in-country investors and other stakeholders (Supplemental Information): The BRASIL-SR model and the SPRING software (both developed by INPE - National Institute for Space Research) were used to produce the dataset and SHAPE files. The assessment of reliability levels of the BRASIL-SR model were performed through the evaluation of the deviations shown by the estimated values for solar radiation flux vis-à-vis the values measured at the surface (ground truth). This evaluation was done in two phases. The first phase consisted in an inter-comparison between the core radiation transfer models adopted by the SWERA Project to map the solar energy in the various countries participating in the project. The HELIOSAT model took part in this phase like benchmark due to its employment to map solar energy resources in countries from European Union. In the second phase, the solar flux estimates provided by the BRASIL-SR model were compared with measured values acquired at several solarimetric stations spread along the Brazilian territory.

272

Brazil Direct Normal Solar Radiation Model (10km) from INPE and LABSOLAR |  

Open Energy Info (EERE)

10km) from INPE and LABSOLAR 10km) from INPE and LABSOLAR Dataset Summary Description (Abstract): Normal direct solar radiation in kWh/m2/day for 1 year organized into cells with 10km x 10km (Purpose): The BRASIL-SR model and the SPRING software (both developed by INPE - National Institute for Space Research) were used to produce the dataset and SHAPE files (Supplemental Information): The assessment of reliability levels of the BRASIL-SR model were performed through the evaluation of the deviations shown by the estimated values for solar radiation flux vis-à-vis the values measured at the surface (ground truth). This evaluation was done in two phases. The first phase consisted in an inter-comparison between the core radiation transfer models adopted by the SWERA Project to map the solar energy in the various countries participating in the project. The HELIOSAT model took part in this phase like benchmark due to its employment to map solar energy resources in countries from European Union. In the second phase, the solar flux estimates provided by the BRASIL-SR model were compared with measured values acquired at several solarimetric stations spread along the Brazilian territory

273

Brazil Global Horizontal Solar Radiation Model (10km) from INPE | OpenEI  

Open Energy Info (EERE)

10km) from INPE 10km) from INPE Dataset Summary Description (Abstract): Global horizontal solar radiation in kWh/m2/day for 1 year organized into cells with 10km x 10km (Purpose): The BRASIL-SR model and the SPRING software (both developed by INPE - National Institute for Space Research) were used to produce the dataset and SHAPE files (Supplemental Information): The assessment of reliability levels of the BRASIL-SR model were performed through the evaluation of the deviations shown by the estimated values for solar radiation flux vis-à-vis the values measured at the surface (ground truth). This evaluation was done in two phases. The first phase consisted in an inter-comparison between the core radiation transfer models adopted by the SWERA Project to map the solar energy in the various countries participating in the project. The HELIOSAT model took part in this phase like benchmark due to its employment to map solar energy resources in countries from European Union. In the second phase, the solar flux estimates provided by the BRASIL-SR model were compared with measured values acquired at several solarimetric stations spread along the Brazilian territory

274

Emily J. Duerr University of Wisconsin, Madison | Forest and Wildlife Ecology | SILVIS Lab | GIS Specialist  

E-Print Network (OSTI)

hourlies in GIS applications (ArcGIS, ERDAS Imagine, Google Earth, ENVI), updating lab website (Drupal including species identification, tagging and numbering trees, recording DBH, measuring live crown and total SKILLS GIS: ArcMap, ERDAS Imagine, ENVI, Quantum GIS, Google Earth Web Development: Drupal, Ruby

Radeloff, Volker C.

275

An Approach to Integrate a Space-Time GIS Data Model with High Performance Computers  

Science Conference Proceedings (OSTI)

In this paper, we describe an approach to integrate a Space-Time GIS data model on a high performance computing platform. The Space-Time GIS data model has been developed on a desktop computing environment. We use the Space-Time GIS data model to generate GIS module, which organizes a series of remote sensing data. We are in the process of porting the GIS module into an HPC environment, in which the GIS modules handle large dataset directly via parallel file system. Although it is an ongoing project, authors hope this effort can inspire further discussions on the integration of GIS on high performance computing platforms.

Wang, Dali [ORNL; Zhao, Ziliang [University of Tennessee, Knoxville (UTK); Shaw, Shih-Lung [ORNL

2011-01-01T23:59:59.000Z

276

Visualizing microbial pollution in Santa Monica Bay with Geographic Information Systems (GIS) and through field-testing a rapid, robust, field-portable water detection sensing system  

E-Print Network (OSTI)

hic Information Systems (GIS) and Through Field - testing aEngineering, UCLA Introduction: GIS and rapid detection:water quality characterizi ng GIS is a powerful mapping tool

2009-01-01T23:59:59.000Z

277

GIS on the fly to realize wireless GIS network by Java mobile phone  

E-Print Network (OSTI)

Java cellular phone has arrived in the marketplace as the latest device of a mobile gear. The gear is very compact, allowing 10KB for Java program size and 5KB for data size. Although small in size, it features innovative computer system architecture. Java program can be sent dynamically to the gear in a streaming manner over wireless network. In addition, compared to conventional mobile computers, Java cell phone is very cheap both in hardware price and in communication cost. Java cell phone has an enormous potential as a mobile gear. In this paper, we discuss our trial of constructing a extensive wireless GIS network by utilizing Java cell phone as a GIS terminal. 1.

Shuichi Takino

2001-01-01T23:59:59.000Z

278

Brazil PAR Solar Radiation Model (40km) from INPE and LABSOLAR | OpenEI  

Open Energy Info (EERE)

40km) from INPE and LABSOLAR 40km) from INPE and LABSOLAR Dataset Summary Description (Abstract): Photosynthetically active radiation in kWh/m2/day for 1 year organized into cells with 40km x 40km (Purpose): The BRASIL-SR model and the SPRING software (both developed by INPE - National Institute for Space Research) were used to produce the dataset and SHAPE files (Supplemental Information): The assessment of reliability levels of the BRASIL-SR model were performed through the evaluation of the deviations shown by the estimated values for solar radiation flux vis-à-vis the values measured at the surface (ground truth). This evaluation was done in two phases. The first phase consisted in an inter-comparison between the core radiation transfer models adopted by the SWERA Project to map the solar energy in the various countries participating in the project. The HELIOSAT model took part in this phase like benchmark due to its employment to map solar energy resources in countries from European Union. In the second phase, the solar flux estimates provided by the BRASIL-SR model were compared with measured values acquired at several solarimetric stations spread along the Brazilian territory

279

Brazil PAR Solar Radiation Model (10km) from INPE and LABSOLAR | OpenEI  

Open Energy Info (EERE)

10km) from INPE and LABSOLAR 10km) from INPE and LABSOLAR Dataset Summary Description (Abstract): Photosynthetically active radiation in kWh/m2/day for 1 year organized into cells with 10km x 10km (Purpose): The BRASIL-SR model and the SPRING software (both developed by INPE -National Institute for Space Research) were used to produce the dataset and SHAPE files (Supplemental Information): The assessment of reliability levels of the BRASIL-SR model were performed through the evaluation of the deviations shown by the estimated values for solar radiation flux vis-à-vis the values measured at the surface (ground truth). This evaluation was done in two phases. The first phase consisted in an inter-comparison between the core radiation transfer models adopted by the SWERA Project to map the solar energy in the various countries participating in the project. The HELIOSAT model took part in this phase like benchmark due to its employment to map solar energy resources in countries from European Union. In the second phase, the solar flux estimates provided by the BRASIL-SR model were compared with measured values acquired at several solarimetric stations spread along the Brazilian territory

280

Monetizing the Geospatial Information System (GIS): The Value of GIS Data Quality for Electric Utilities  

Science Conference Proceedings (OSTI)

The smart grid is dramatically changing the way we deliver electrical energy. What has historically been a uni-directional flow of energy from generation to customer is now increasingly paralleled with a bi-directional communication network to optimize the use and flow of electricity. However, the intelligence of the smart grid relies critically on geospatial data to represent and track the locations of numerous devices within the connectivity model of the distribution system. A GIS (Geospatial ...

2012-11-26T23:59:59.000Z

Note: This page contains sample records for the topic "gis solar swera" 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

The Role of GIS in Decision Support Systems  

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

GIS in GIS in Decision Support Systems Jeremy Smith Weather Camera Rail Bridge T k Mile Post Traffic Truck Origin Destination Route Alternatives Roadway Time Pavement Incidents Closures Patterns of Business Behavior Patterns of Business Behavior Data Management Planning & Analysis Field Mobility Operational Awareness Stakeholder Engagement R i l E t i R i l E t i Transform Data Collect, Organize, Get Information Disseminate Get Feedback and Regional Enterprise Regional Enterprise Transform Data Into Actionable Information Collect, Organize, & Exchange Data Get Information Into and Out of the Field Disseminate Information Where and When it is Needed Get Feedback and Make Informed Decisions Decision Support GIS Integration & Workflows GIS Integration & Analysis Framework Regional Data Sources Weather

282

Next Generation (NextGen) Geospatial Information System (GIS) | Department  

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

Next Generation (NextGen) Geospatial Information System (GIS) Next Generation (NextGen) Geospatial Information System (GIS) Next Generation (NextGen) Geospatial Information System (GIS) July 12, 2013 - 12:17pm Addthis The U.S. Department of Energy Office of Legacy Management (LM) manages environmental records from Cold War legacy sites spanning nearly 40 years. These records are a key LM asset and must be managed and maintained efficiently and effectively. There are over 16 different applications that support the databases containing environmental and geospatial information. The current applications, respective systems, and processes require upgrades to effectively operate in the future. A multi-disciplined LM team collaborated to develop functional requirements and implement NextGen GIS; this system will replace the Geospatial

283

Alaska Region Offshore GIS Data | OpenEI  

Open Energy Info (EERE)

Region Offshore GIS Data Region Offshore GIS Data Dataset Summary Description The US Department of Interior's (DOI) Bureau of Ocean Energy Management, Regulation and Enforcement (BOEMRE) published GIS data of offshore information for the Alaska Region. The data are available as GIS shapefiles. The types of data include: active leases, boundary of US jurisdiction for mineral development, and fed/state boundaries. All .zip files included here contain shapefiles, and most also contain supplemental metadata. Note: metadata appears to be available for all shapefiles from BOEMRE, but not all of the links on the BOEMRE website (http://www.boemre.gov/offshore/mapping/alaska.htm#OPD) work. Source US Bureau of Ocean Energy Management, Regulation and Enforcement (BOEMRE) Date Released July 01st, 2002 (12 years ago)

284

Additional GIS Registration for Non-U.S. Citizens | Precision...  

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

form by November 4, 2013 and be approved in the BNL Guest Information System (GIS) before they will be granted access to the laboratory. All guests planning to use...

285

A GIS embedded decision support system for bicriteria location problems  

Science Conference Proceedings (OSTI)

In this paper we describe and exemplify the embedment of a Geographical Information System (GIS) platform in a decision support tool previously developed for bicriteria location problems. When the facilities to be located have environmental effects, ...

Srgio Fernandes; M. Eugnia Captivo; Joo N. Clmaco

2010-08-01T23:59:59.000Z

286

Climate: monthly and annual average cooling degree days above 10° C GIS  

Open Energy Info (EERE)

cooling degree days above 10° C GIS cooling degree days above 10° C GIS data at one-degree resolution of the World from NASA/SSE Dataset Summary Description (Abstract): Cooling Degree Days above 10° C (degree days)The monthly accumulation of degrees when the daily mean temperature is above 10° C.NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Nov 2007)22-year Monthly Average & Annual Sum (July 1983 - June 2005)Parameter: Cooling Degree Days Above 10 degrees C (degree days)Internet: http://eosweb.larc.nasa.gov/sse/Note 1: SSE Methodology & Accuracy sections onlineNote 2: Lat/Lon values indicate the lower left corner of a 1x1 degree region. Negative values are south and west; positive values are north and east. Boundaries of the -90/-180 region are -90 to -89 (south) and -180 to -179 (west). The last region, 89/180,

287

Climate: monthly and annual average air temperature at 10 m GIS data at  

Open Energy Info (EERE)

air temperature at 10 m GIS data at air temperature at 10 m GIS data at one-degree resolution of the World from NASA/SSE Dataset Summary Description (Abstract): Air Temperature at 10 m Above The Surface Of The Earth (deg C)NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Nov 2007)22-year Monthly & Annual Average (July 1983 - June 2005)Parameter: Air Temperature at 10 m Above The Surface Of The Earth (deg C)Internet: http://eosweb.larc.nasa.gov/sse/Note 1: SSE Methodology & Accuracy sections onlineNote 2: Lat/Lon values indicate the lower left corner of a 1x1 degree region. Negative values are south and west; positive values are north and east. Boundaries of the -90/-180 region are -90 to -89 (south) and -180 to -179 (west). The last region, 89/180, is bounded by 89 to 90 (north) and 179 to 180 (east). The mid-point of

288

Climate: monthly and annual average heating degree days below 18° C GIS  

Open Energy Info (EERE)

heating degree days below 18° C GIS heating degree days below 18° C GIS data at one-degree resolution of the World from NASA/SSE Dataset Summary Description (Abstract): Heating Degree Days below 18° C (degree days)The monthly accumulation of degrees when the daily mean temperature is below 18° C.NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Nov 2007)22-year Monthly Average & Annual Sum (July 1983 - June 2005)Parameter: Heating Degree Days Below 18 degrees C (degree days)Internet: http://eosweb.larc.nasa.gov/sse/Note 1: SSE Methodology & Accuracy sections onlineNote 2: Lat/Lon values indicate the lower left corner of a 1x1 degree region. Negative values are south and west; positive values are north and east. Boundaries of the -90/-180 region are -90 to -89 (south) and -180 to -179 (west). The last region, 89/180,

289

Climate: monthly and annual average Earth skin temperature GIS data at  

Open Energy Info (EERE)

Earth skin temperature GIS data at Earth skin temperature GIS data at one-degree resolution of the World from NASA/SSE Dataset Summary Description (Abstract): Earth Skin Temperature (° C)NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Nov 2007)22-year Monthly & Annual Average (July 1983 - June 2005)Parameter: Earth Skin Temperature (deg C)Internet: http://eosweb.larc.nasa.gov/sse/Note 1: SSE Methodology & Accuracy sections onlineNote 2: Lat/Lon values indicate the lower left corner of a 1x1 degree region. Negative values are south and west; positive values are north and east. Boundaries of the -90/-180 region are -90 to -89 (south) and -180 to -179 (west). The last region, 89/180, is bounded by 89 to 90 (north) and 179 to 180 (east). The mid-point of the region is +0.5 added to the the Lat/Lon value. These data are

290

Microsoft Word - cuba-document_de-dh.doc  

Open Energy Info (EERE)

Resource Mapping Activity Resource Mapping Activity Introduction This document describes the development of detailed high-resolution (1 km 2 ) wind energy resource maps for the country of Cuba. These maps were created at the United States Department of Energy's National Renewable Energy Laboratory (NREL) as part of the Solar and Wind Energy Resource Assessment (SWERA) project for the United Nations Environment Programme. The wind mapping activity covered approximately 110,000 km 2 of land area and, including offshore areas, more than 150,000 km 2 . The maps can be found in a separate part of the SWERA archive. NREL's Wind Resource Assessment and Mapping System (WRAMS) is a combination of analytical, numerical, and empirical methods using Geographic Information System (GIS) mapping tools and data

291

Microsoft Word - ghana-document_de-dh.doc  

Open Energy Info (EERE)

Wind Energy Resource Mapping Activity Wind Energy Resource Mapping Activity Introduction This document describes the development of detailed high-resolution (1 km 2 ) wind energy resource maps for the country of Ghana. These maps were created at the United States Department of Energy's National Renewable Energy Laboratory (NREL) as part of the Solar and Wind Energy Resource Assessment (SWERA) project for the United Nations Environment Programme. The wind mapping activity covered approximately 110,000 km 2 of land area and, including offshore areas, more than 150,000 km 2 . The maps can be found in a separate part of the SWERA archive. NREL's Wind Resource Assessment and Mapping System (WRAMS) is a combination of analytical, numerical, and empirical methods using Geographic Information System (GIS) mapping tools and data

292

A GIS-based Assessment of Coal-based Hydrogen Infrastructure Deployment in the State of Ohio  

E-Print Network (OSTI)

2004. [12] Parks K. GIS-based infrastructure modeling, 2010information systems (GIS). Washington, DC: National Hydrogenwww.elsevier.com/locate/he A GIS-based assessment of coal-

Johnson, Nils; Yang, Christopher; Ogden, J

2009-01-01T23:59:59.000Z

293

The Salmon Resource and Sensitive Area mapping Project: Integrating a Natural Resource GIS with Field Operations Via Handheld Computer Applications  

E-Print Network (OSTI)

ap- plication delivery of GIS biological resource data.ntegrating a N atural R esource GIS W ith F ield O perationsa Geographic Information System (GIS) of sensitive natural

Carson, Robert; Wente, Wendy H.; Hill, Milton

2007-01-01T23:59:59.000Z

294

Mitigation of Coastal Bluff Instability in San Diego County, California/Evaluating Seacliff Morphology and Erosion Control in San Diego County Using LIDAR and GIS  

E-Print Network (OSTI)

County Using LIDAR and GIS In order to evaluate seacliffgeographic information systems (GIS) analysis. LIDAR is the

Ashford, Scott

2005-01-01T23:59:59.000Z

295

Developing a GIS-Based MCE Site Selection Tool in ArcGIS Using COM Technology IAJIT First Online Publication  

E-Print Network (OSTI)

Abstract: Site selection is a complex process for owners and analysts. This process involves not only technical requirements, but also economical, social, environmental and political demands that may result in conflicting objectives. Site selection is the process of finding locations that meet desired conditions set by the selection criteria. Geographic Information Systems (GIS) and Multi Criteria Evaluation techniques (MCE) are the two common tools employed to solve these problems. However, each suffers from serious shortcomings and could not be used alone to reach an optimum solution. This poses the challenge of integrating these tools. Developing and using GIS-based MCE tools for site selection is a complex process that needs well trained GIS developers and analysts who are not often available in most organizations. In this paper, a GIS-based Multicriteria Evaluation Site Selection Tool is developed in ArcGIS 9.3 using COM technology to achieve software interoperability. This tool can be used by engineers and planners with different levels of GIS and MCE knowledge to solve site selection problems. A typical case study is presented to demonstrate the application of the proposed tool..In addition, the paper presents a comprehensive discussion of the site selection process and characteristics.

Khalid Eldrandaly

2011-01-01T23:59:59.000Z

296

Evaluating the Potential of Commercial GIS for Accelerator Configuration Management  

SciTech Connect

The Geographic Information System (GIS) is a tool used by industries needing to track information about spatially distributed assets. A water utility, for example, must know not only the precise location of each pipe and pump, but also the respective pressure rating and flow rate of each. In many ways, an accelerator such as CEBAF (Continuous Electron Beam Accelerator Facility) can be viewed as an ''electron utility''. Whereas the water utility uses pipes and pumps, the ''electron utility'' uses magnets and RF cavities. At Jefferson lab we are exploring the possibility of implementing ESRI's ArcGIS as the framework for building an all-encompassing accelerator configuration database that integrates location, configuration, maintenance, and connectivity details of all hardware and software. The possibilities of doing so are intriguing. From the GIS, software such as the model server could always extract the most-up-to-date layout information maintained by the Survey & Alignment for lattice modeling. The Mechanical Engineering department could use ArcGIS tools to generate CAD drawings of machine segments from the same database. Ultimately, the greatest benefit of the GIS implementation could be to liberate operators and engineers from the limitations of the current system-by-system view of machine configuration and allow a more integrated regional approach. The commercial GIS package provides a rich set of tools for database-connectivity, versioning, distributed editing, importing and exporting, and graphical analysis and querying, and therefore obviates the need for much custom development. However, formidable challenges to implementation exist and these challenges are not only technical and manpower issues, but also organizational ones. The GIS approach would crosscut organizational boundaries and require departments, which heretofore have had free reign to manage their own data, to cede some control and agree to a centralized framework.

T.L. Larrieu; Y.R. Roblin; K. White; R. Slominski

2005-10-10T23:59:59.000Z

297

Evaluating the Potential of Commercial GIS for Accelerator Configuration Management  

SciTech Connect

The Geographic Information System (GIS) is a tool used by industries needing to track information about spatially distributed assets. A water utility, for example, must know not only the precise location of each pipe and pump, but also the respective pressure rating and flow rate of each. In many ways, an accelerator such as CEBAF (Continuous Electron Beam Accelerator Facility) can be viewed as an ''electron utility''. Whereas the water utility uses pipes and pumps, the ''electron utility'' uses magnets and RF cavities. At Jefferson lab we are exploring the possibility of implementing ESRI's ArcGIS as the framework for building an all-encompassing accelerator configuration database that integrates location, configuration, maintenance, and connectivity details of all hardware and software. The possibilities of doing so are intriguing. From the GIS, software such as the model server could always extract the most-up-to-date layout information maintained by the Survey & Alignment for lattice modeling. The Mechanical Engineering department could use ArcGIS tools to generate CAD drawings of machine segments from the same database. Ultimately, the greatest benefit of the GIS implementation could be to liberate operators and engineers from the limitations of the current system-by-system view of machine configuration and allow a more integrated regional approach. The commercial GIS package provides a rich set of tools for database-connectivity, versioning, distributed editing, importing and exporting, and graphical analysis and querying, and therefore obviates the need for much custom development. However, formidable challenges to implementation exist and these challenges are not only technical and manpower issues, but also organizational ones. The GIS approach would crosscut organizational boundaries and require departments, which heretofore have had free reign to manage their own data, to cede some control and agree to a centralized framework.

T.L. Larrieu; Y.R. Roblin; K. White; R. Slominski

2005-10-10T23:59:59.000Z

298

NREL: International Activities - India Solar Resource Maps  

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

International Activities International Activities Search More Search Options Site Map Printable Version UPDATED India Solar Resource Maps This page provides 10-kilometer (km) solar resource maps and data for India. The 10-km hourly solar resource data were developed using weather satellite (METEOSAT) measurements incorporated into a site-time specific solar modeling approach developed at the U.S. State University of New York at Albany. The data is made publicly available in geographic information system (GIS) format and as static maps below. The hourly data can also be downloaded for specific locations from NREL's Renewable Resource Data Center. The new maps and data were released in June 2013. The new data expands the time period of analysis from 2002-2007 to 2002-2011 and incorporates

299

Stratified, destratified, and hybrid GIS : organizing a cross-disciplinary territory for design  

E-Print Network (OSTI)

Although the term Geographic Information System (GIS) is most commonly associated with computer software, the principles of GIS existed long before it was implemented on a computer. This thesis hypothesizes that the ...

Carlsson, Moa Karolina

2013-01-01T23:59:59.000Z

300

Wind: wind power density GIS data at 50m above ground and 1km...  

Open Energy Info (EERE)

Wind: wind power density GIS data at 50m above ground and 1km resolution for Central America from NREL

(Abstract):Raster GIS data, 50 m wind power density...

Note: This page contains sample records for the topic "gis solar swera" 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

Wind: wind power density GIS data at 50m above ground and 1km...  

Open Energy Info (EERE)

Wind: wind power density GIS data at 50m above ground and 1km resolution for Cuba from NREL

(Abstract):Raster GIS data, exported as BIL file, 50 m wind power...

302

Wind: wind power density GIS data at 50m above ground and 1km...  

Open Energy Info (EERE)

Wind: wind power density GIS data at 50m above ground and 1km resolution for China from NREL

(Abstract):Raster GIS data, exported as BIL file, 50 m wind...

303

Wind: wind power density GIS data at 50m above ground and 1km...  

Open Energy Info (EERE)

Wind: wind power density GIS data at 50m above ground and 1km resolution for Ghana from NREL

(Abstract):Raster GIS data, exported as BIL file, 50 m wind...

304

Gathering of requirements on WebGIS development: the example of bikeway mapping application  

Science Conference Proceedings (OSTI)

The article presents results of original research concerning proposal of WebGIS application with cycling topics. The main contribution of the proposal is in gathering of user requests on content and functionality. According to focus of this application, ... Keywords: GIS, bikeway, cyclist, mapping application, requirements, usability, webGIS

Hana Kopackova; Hana Jonasova; Iva Mikesova; Jana Hejlova

2011-12-01T23:59:59.000Z

305

APPLICATION OF REMOTE SENSING AND GIS FOR GEOLOGICAL INVESTIGATION AND GROUNDWATER POTENTIAL ZONE IDENTIFICATION,  

E-Print Network (OSTI)

APPLICATION OF REMOTE SENSING AND GIS FOR GEOLOGICAL INVESTIGATION AND GROUNDWATER POTENTIAL ZONE FOR THE DEGREE OF MASTER OF SCIENCE IN GIS AND REMOTE SENSING BY TEWODROS RANGO GODEBO JULY 2005 #12;INTRODUCTION been done with the absence of the application of Remote Sensing and Geographic Information System (GIS

Mege, Daniel

306

Why Web GIS May Not be Enough: A Case Study with the Virtual Research Vessel  

E-Print Network (OSTI)

Why Web GIS May Not be Enough: A Case Study with the Virtual Research Vessel DAWN J. WRIGHT1 infrastructure is desired and needed for ready access to data and the resulting maps via web GIS, in order, and the quantitative evaluation of scientific hypotheses. For widespread data access, web GIS is therefore only

Wright, Dawn Jeannine

307

Potential Prediction of Favorable Regions about Coal Resources Based on MapGIS in Taiqian Region  

Science Conference Proceedings (OSTI)

MapGIS has been widely applied to many fields in geological discipline as a maturely GIS. Its powerful graphic editing and comprehensive snalysis of spatial data functions make it possible to applied to potential prediction of coal. This paper mainly ... Keywords: MapGIS, Taiqian Region, coal resources, potential prediction

Chen Kuikui; Zhang Chong

2012-05-01T23:59:59.000Z

308

Historical GIS as a Platform for Public Memory at Mammoth Cave National Park  

Science Conference Proceedings (OSTI)

The Mammoth Cave Historical GIS (MCHGIS) fosters new understandings of a national park landscape as a historic farming community and offers a web-based platform for public memory of pre-park inhabitants. It maps the 1920 manuscript census at the household ... Keywords: Historical GIS, Kentucky, Mammoth Cave, National Parks, Public Memory, Public Participation GIS, Virtual Community Building

Katie Algeo; Ann Epperson; Matthew Brunt

2011-10-01T23:59:59.000Z

309

GIS analysis of U.S. patent data: examining local innovation patterns  

Science Conference Proceedings (OSTI)

Current patent data in the United States provides limited spatial analysis capabilities within GIS applications. Most U.S. government data sources assign Federal Information Processing System (FIPS) codes or postal zip codes which facilitate GIS data ... Keywords: GIS, Ohio, business intelligence, innovation, patents

Jon Moore; Qian Cui

2011-05-01T23:59:59.000Z

310

Transmission/Resource Library/GIS Tools | Open Energy Information  

Open Energy Info (EERE)

Transmission/Resource Library/GIS Tools Transmission/Resource Library/GIS Tools < Transmission‎ | Resource Library Jump to: navigation, search ResourceLibraryHeader.png Planning Public Involvement GIS Tools and Maps Environmental Resources and Mitigation NEPA MOUs General Transmission Documents Transmission Dashboard Permitting Atlas Compare States Arizona California Colorado Idaho Montana Nevada New Mexico Oregon Utah Washington Wyoming Resource Library NEPA Database ACEII.jpg ACE-II: Areas of Conservation Emphasis Provides an easily-accessible and standardized way to view the best available statewide data on California's biological richness and biodiversity CAPS.jpg CAPS: Crucial Areas Planning System Online tool that maps crucial habitat as well as key wildlife connectivity areas in Montana. The aim of the mapping system is to consider fish,

311

NREL: Dynamic Maps, Geographic Information System (GIS) Data and Analysis  

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

First Quarter 2012 First Quarter 2012 The Geographic Information System (GIS) Team at the National Renewable Energy Laboratory (NREL) encompasses a broad range of scientific research and reporting activity in support of the U.S. Department of Energy's (DOE) Office of Energy Efficiency and Renewable Energy (EERE), NREL programs and initiatives, and the GIS community. The purpose of this quarterly newsletter is to feature recent projects, highlight new tools and announce datasets available for download. Featured Project Thummbnail of the 10-km TMY3 boundries map. 10-kilometer TMY3 Boundaries Refined GIS analyst, Anthony Lopez, is finalizing a project that defines 10-kilometer TMY3 boundaries based on the spatial variance of resource, elevation, distance to station, and station uncertainty-as opposed to

312

NREL: Dynamic Maps, GIS Data, and Analysis Tools - Webmaster  

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

Webmaster Webmaster To contact the Webmaster, please provide your name, e-mail address, and message below. When you are finished, click "Send Message." NOTE: If you enter your e-mail address incorrectly, we will be unable to reply. Your name: Your email address: Your message: Send Message Printable Version NREL GIS Home About NREL GIS Renewable Energy Technical Potential Maps Data Resources Data Visualization & Geospatial Tools GIS Staff Publications Mailing List Contact Us Did you find what you needed? Yes 1 No 0 Thank you for your feedback. Would you like to take a moment to tell us how we can improve this page? Submit We value your feedback. Thanks! We've received your feedback. Something went wrong. Please try again later. NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC.

313

Alaska Coal Geology: GIS Data | OpenEI  

Open Energy Info (EERE)

Coal Geology: GIS Data Coal Geology: GIS Data Dataset Summary Description Estimated Alaska coal resources are largely in Cretaceous and Tertiary rocks distributed in three major provinces. Northern Alaska-Slope, Central Alaska-Nenana, and Southern Alaska-Cook Inlet. Cretaceous resources, predominantly bituminous coal and lignite, are in the Northern Alaska-Slope coal province. Most of the Tertiary resources, mainly lignite to subbituminous coal with minor amounts of bituminous and semianthracite coals, are in the other two provinces. The combined measured, indicated, inferred, and hypothetical coal resources in the three areas are estimated to be 5,526 billion short tons (5,012 billion metric tons), which constitutes about 87 percent of Alaska's coal and surpasses the total coal resources of the conterminous United States by 40 percent. Available here: GIS shapefiles of relevant faults and geology, associated with the following report: http://pubs.usgs.gov/dds/dds-077/pdf/DDS-77.pdf

314

Using GIS to Identify Remediation Areas in Landfills  

Science Conference Proceedings (OSTI)

This paper reports the use of GIS mapping softwareArcMap and ArcInfo Workstationby the Idaho National Engineering and Environmental Laboratory (INEEL) as a non-intrusive method of locating and characterizing radioactive waste in a 97-acre landfill to aid in planning cleanup efforts. The fine-scale techniques and methods used offer potential application for other burial sites for which hazards indicate a non-intrusive approach. By converting many boxes of paper shipping records in multiple formats into a relational database linked to spatial data, the INEEL has related the paper history to our current GIS technologies and spatial data layers. The wide breadth of GIS techniques and tools quickly display areas in need of remediation as well as evaluate methods of remediation for specific areas as the site characterization is better understood and early assumptions are refined.

Linda A.Tedrow

2004-08-01T23:59:59.000Z

315

South America Global Horizontal SR Solar Model from INPE and LABSOLAR |  

Open Energy Info (EERE)

727 727 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142256727 Varnish cache server South America Global Horizontal SR Solar Model from INPE and LABSOLAR Dataset Summary Description (Abstract): Mean values of Global Horizontal Solar Radiation in kWh/m2/day for 40km cells for 1 year (month, season, year) based on data from 1995 to 2005 (Purpose): To provide a set of consistent, reliable, verifiable, and accessible global data sets for international and in-country investors and other stakeholders. (Supplemental Information): The BRASIL-SR model (developed by INPE - National Institute for Space Research) and the ARCVIEW software were used to produce the dataset and SHAPE files. The assessment of reliability levels of the BRASIL-SR model were performed through the evaluation of the deviations shown by the estimated values for solar radiation flux vis-à-vis the values measured at the surface (ground truth). This evaluation was done in two phases. The first phase consisted in an inter-comparison between the core radiation transfer models adopted by the SWERA Project to map the solar energy in the various countries participating in the project. The HELIOSAT model took part in this phase like benchmark due to its employment to map solar energy resources in countries from European Union. In the second phase, the solar flux estimates provided by the BRASIL-SR model were compared with measured values acquired at several solarimetric stations spread along the Brazilian territory. The BRASIL-SR model is not validated for areas covered by snow.

316

Boston, Massachusetts: Solar in Action (Brochure)  

DOE Green Energy (OSTI)

This brochure provides an overview of the challenges and successes of Boston, MA, a 2007 Solar America City awardee, on the path toward becoming a solar-powered community. Accomplishments, case studies, key lessons learned, and local resource information are given. The City of Boston and its Solar America Cities program, Solar Boston, are helping to debunk the myth that solar energy is only feasible in the southern latitudes. Boston has some of the highest energy prices in the country and will likely be one of the first locations where solar power achieves grid parity with conventional energy technologies. Solar Boston is facilitating the rapid development of solar energy projects and infrastructure in the short-term, and is preparing for the rapid market growth that is expected with the imminent arrival of grid parity over the long-term. Solar Boston developed the strategy for achieving Mayor Menino's goal of installing 25 MW of solar energy throughout Boston by 2015. Through Solar Boston, the city has developed a strategy for the installation of solar technology throughout Boston, including mapping feasible locations, preparing a permitting guide, and planning the citywide bulk purchase, financing, and installation of solar technology. The city has also worked with local organizations to maximize Boston's participation in state incentive programs and innovative financing initiatives. The resulting accomplishments include the following: (1) Created an online map of current local renewable energy projects with a tool to allow building owners to calculate their rooftop solar potential. The map is currently live at http://gis.cityofboston.gov/solarboston/. (2) Supported the city's Green Affordable Housing Program (GAHP), in partnership with the Department of Neighborhood Development (DND). Under GAHP, the city is installing more than 150 kW of PV on 200 units of affordable housing. DND requires that all new city-funded affordable housing be LEED silver certified and built solar-ready. (3) Defined solar's role in emergency preparedness with the Boston Mayor's Office of Emergency Preparedness. (4) Worked with local organizations to maximize Boston's participation in state incentive programs and innovative financing mechanisms. Solar Boston partners include DOE, MTC, local utilities and unions, an anonymous foundation, and a broad range of local, regional, and national clean-energy stakeholders. Solar Boston kicked off its partner program on January 10, 2008, sponsoring a workshop on 'Thinking BIG about Boston's Solar Energy Future,' to discuss how state, utility, and municipal programs can work together. Presentations were given by Solar Boston, Keyspan/National Grid, NSTAR, and MTC.

Not Available

2011-10-01T23:59:59.000Z

317

NREL: Dynamic Maps, GIS Data, and Analysis Tools - Geographic...  

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

crops. Lower 48 Solar Photovoltaics (PV) Collectors 40km Reslution These datasets provide solar radiation values for common flat-plate and concentrating collectors for 239 stations...

318

Cascade or domino effects in flood impact analysis in GIS  

Science Conference Proceedings (OSTI)

Floods are common natural occurring disaster in most parts of the world. It results into damage of human life and environment but not seldom are the side effects of flooding causing more damages than the flood itself. To investigate such Cascade or Domino ... Keywords: GIS, cascade and domino effects, flood, risk

ke Sivertun; Vimalkumar Vaghani

2007-08-01T23:59:59.000Z

319

Automatic generation of water distribution systems based on GIS data  

Science Conference Proceedings (OSTI)

In the field of water distribution system (WDS) analysis, case study research is needed for testing or benchmarking optimisation strategies and newly developed software. However, data availability for the investigation of real cases is limited due to ... Keywords: Algorithmic network generation, GIS-data, Hydraulic simulation, Modular design system, Water distribution system

Robert Sitzenfrei, Michael MDerl, Wolfgang Rauch

2013-09-01T23:59:59.000Z

320

Solar Decathlon  

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

U.S. Department of Energy Solar Decathlon Sara Farrar-Nagy National Renewable Energy Laboratory sara.farrar-nagy@nrel.gov, 303-384-7514 April 3, 2013 Solar Decathlon 2009 Solar...

Note: This page contains sample records for the topic "gis solar swera" 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

Solar Easements  

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

Virginia's solar easement law is similar to those in effect in other states. The Virginia Solar Easements Act of 1978 allows property owners to create binding solar easements for the purpose of...

322

References ? Internet GIS: Distributed Geographic Information Services for the Internet and Wireless Networks. By Zhong-Ren Peng, Ming-Hsiang Tsou. 1  

E-Print Network (OSTI)

Mobile GIS is the expansion of a (GIS) from the office to the field. A mobile GIS enables field based personnel to capture, store, update, manipulate, analyze, and display geographic information. Mobile GIS integrates one or more of the following technologies: ?Mobile devices. ?Global Positioning Systems (GPS). ?Wireless communications for Internet GIS access.

Imad Abugessaisa

2007-01-01T23:59:59.000Z

323

OpenEI - United Nations  

Open Energy Info (EERE)

http:en.openei.orgdatasetstaxonomyterm5810 en Overview of the United Nations Environment Programme's Solar and Wind Energy Resource Assessment (SWERA) Project http:...

324

Utilization of Renewables in Bangladesh: Case Studies  

Open Energy Info (EERE)

(2) Wind-solar hybrid system in Kuakata Sea Beach and (3) Micro hydro power plant of Aung Thuwi Khoi.

(Purpose):SWERA Documentation...

325

DEVELOPMENT OF A CARBON MANAGEMENT GEOGRAPHIC INFORMATION SYSTEM (GIS) FOR THE UNITED STATES  

Science Conference Proceedings (OSTI)

The Lab for Energy and Environment (LFEE) at MIT is developing a Geographic Information System (GIS) for carbon management. The GIS will store, integrate, and manipulate information relating to the components of carbon management systems. Additionally, the GIS can be used to interpret and analyze the effect of developing these systems. In the first year of this three year project, we focused on two tasks: (1) specifying the system design--defining in detail the GIS data requirements, the types of analyses that can be conducted, and the forms of output we will produce, as well as designing the computer architecture of the GIS and (2) creating the ''core'' datasets--identifying data sources and converting them into a form accessible by the GIS.

Howard J. Herzog

2004-03-01T23:59:59.000Z

326

Use of a GIS-Based Model of Habitat Cores and Landscape Corridors for VDOT Transportation Project Planning and Environmental Scoping  

E-Print Network (OSTI)

U se of a GIS-B ased M odel of H abitat C ores and L2545, joseph.weber@dcr.virginia.gov), GIS Projects Manager/Program is creating a GIS tool, the Virginia Natural

Donaldson, Bridget M. Donaldson; Weber, Joseph T.

2007-01-01T23:59:59.000Z

327

Forest Service Back Roads: Utilization of GPS/GIS Technology for Acquiring Road Infrastructure Data in the Ozark-St. Francis national Forests  

E-Print Network (OSTI)

INFRA data and spatial GIS data layers simultaneously inoads : U tilization of GPS/GIS T echnology for A cquiring RF orests Benjamin Gentry, GIS Technician (479-964-7200,

Gentry, Benjamin

2007-01-01T23:59:59.000Z

328

Microsoft Word - 20100706_FEMP_GIS_Inventory.docx  

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

GIS Datasets Specific to the US (These do not include VENTYX, PLATTS or HSIP data.) GIS Datasets Specific to the US (These do not include VENTYX, PLATTS or HSIP data.) I. Boundary Files a. Political i. States ii. Counties iii. Congressional Districts iv. State Legislative Districts b. Infrastructure/Utility i. EPA eGrid Regions ii. TMY3 Boundaries iii. ReEDS Regions iv. PCA Regions v. Interconnects c. Federal Lands i. National Parks/Monuments ii. National Forests/Grasslands iii. BLM iv. Military v. Indian Reservations d. Parks i. National ii. State iii. City/County/Local iv. Recreation Areas e. Census Data i. Urban Areas ii. City Boundaries iii. Metropolitan/Micropolitan Statistical Areas iv. Census Tracts/Blocks/Population v. Area Code

329

NREL: Dynamic Maps, Geographic Information System (GIS) Data and Analysis  

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

October 2012 - End of Fiscal Year Addition October 2012 - End of Fiscal Year Addition The Geographic Information System (GIS) Team at the National Renewable Energy Laboratory (NREL) encompasses a broad range of scientific research and reporting activity in support of the U.S. Department of Energy's (DOE) Office of Energy Efficiency and Renewable Energy (EERE), NREL programs and initiatives, and the GIS community. The purpose of this end of FY newsletter is to highlight a few of the new tools and announce changes and addition of datasets that were finished by the end of our Fiscal year. You are receiving this message because you have subscribed to our mailing list. Featured Tools A screenshot of the Geothermal Analysis tool with a pie chart showing the surface ownership percentages and acerage of tribal lands in the United States.

330

New Technique for Proposing Network's Topology using GPS and GIS  

E-Print Network (OSTI)

The problem of proposed topology for network comes when using Prim's algorithm with default distance (unrealistic distances) between network's nodes and don't care about the lakes, high hills, buildings, etc. This problem will cause incorrect estimations for cost (budget) of requirements like the media (optic fibre) and the number or type of Access-points, regenerator, Optic Amplifier, etc. This paper proposed a new technique of implementing Prim's algorithm to obtain realistic topology using realistic distances between network's nodes via Global Positioning System GPS and Geographic Information Systems GIS packages. Applying the new technique on academic institutes network of Erbil city from view of media (optic fibre) shows that there is disability in cost (budget) of the media which is needed (nearly) 4 times if implement default Prim's algorithm (don't using GPS & GIS) base on unrealistic distances between the nodes.

Ismaeel, Ayad Ghany

2012-01-01T23:59:59.000Z

331

Combining Supervised and Unsupervised Learning for GIS Classification  

E-Print Network (OSTI)

This paper presents a new hybrid learning algorithm for unsupervised classification tasks. We combined Fuzzy c-means learning algorithm and a supervised version of Minimerror to develop a hybrid incremental strategy allowing unsupervised classifications. We applied this new approach to a real-world database in order to know if the information contained in unlabeled features of a Geographic Information System (GIS), allows to well classify it. Finally, we compared our results to a classical supervised classification obtained by a multilayer perceptron.

Torres-Moreno, Juan-Manuel; Alexandre, Frdric

2009-01-01T23:59:59.000Z

332

Africa | OpenEI  

Open Energy Info (EERE)

Africa Africa Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal and tilted flat-plates, and 2-axis tracking concentrating collectors. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to solar collectors. Source U.S. National Renewable Energy Laboratory (NREL) Date Released July 31st, 2011 (3 years ago) Date Updated October 30th, 2007 (7 years ago) Keywords Africa direct normal irradiance DNI GEF GHI GIS global horizontal irradiance latitutde tilt irradiance NASA NREL solar SWERA TILT UNEP Data application/zip icon Download Shapefile and Images (zip, 19.3 MiB) text/csv icon Download Data (csv, 3.4 MiB) Quality Metrics Level of Review Some Review

333

Tidal Stream Power Web GIS Tool | Open Energy Information  

Open Energy Info (EERE)

Tidal Stream Power Web GIS Tool Tidal Stream Power Web GIS Tool Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Tidal Stream Power Web GIS Tool Agency/Company /Organization: Georgia Tech Savannah Sector: Energy Focus Area: Renewable Energy Resource Type: Software/modeling tools User Interface: Website Website: www.tidalstreampower.gatech.edu/ Country: United States Web Application Link: www.tidalstreampower.gatech.edu/ Cost: Free UN Region: Northern America Coordinates: 32.167482°, -81.212405° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":32.167482,"lon":-81.212405,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

334

DEVELOPMENT OF COAL BED METHANE UTILIZING GIS TECHNOLOGIES  

Science Conference Proceedings (OSTI)

During the second half of the 1990's, Coal Bed Methane (CBM) production increased dramatically nationwide to represent a significant new source of income and natural gas for many independent and established producers. Matching these soaring production rates during this period were the advancements in Geographical Information Systems (GIS) technologies generating terra-bytes of new data for the oil and gas industry. Coupled to these accelerating initiatives are many environmental concerns relating to production wastes and water table depletion of fresh water resources. It is these concerns that prompted a vital need within the industry for the development of Best Management Practices (BMPs) and mitigation strategies utilizing GIS technologies for efficient environmental protection in conjunction with effective production of CBM. This was accomplished by developing a framework to take advantage of a combination of investigative field research joined with leading edge GIS technologies for the creation of environmentally characterized regions of study. Once evaluated these regions had BMP's developed to address their unique situations for Coal Bed Methane production and environmental protection. Results of the project will be used to support the MBOGC's Programmatic Environmental Impact Statement as required by the Montana Environmental Policy Act (MEPA) and by the BLM for NEPA related issues for acreage having federally owned minerals.

J. Daniel Arthur

2003-04-01T23:59:59.000Z

335

GIS and plume dispersion modeling for population exposure assessment  

E-Print Network (OSTI)

The use of Pollutant Plume Dispersion Models is widespread in the evaluation of point sources of air pollution. These models provide valuable insight into the concentration and dispersion of hazardous materials throughout the atmosphere. Traditional methods of dispersion modeling for the permitting of new sources and the monitoring of existing sources have allowed much room for error in terms of the effect of the pollutants on nearby populations (Hardikar, 1995). The capabilities of GIS technology offer an improved method of conducting air quality modeling for permitting, remediation studies, and environmental monitoring. GIS has the ability to develop and manage a comprehensive database of model output, map layers, and demographic data that can prove extremely valuable in the modeling process. This data can serve to extend the capabilities of air pollution dispersion modeling from mere estimation of concentrations to comprehensive exposure assessment of neighboring populations (Lowry, et al. 1995, Maslia, et al. 1994). A study of the Monticello power plant in northeast Texas was conducted using the SCREEN3 mathematical plume dispersion model, US Census Bureau demographic data, and a GIS to examine the effects of the plant output on the people living in the seven county area surrounding the plant.

Archer, Jeffrey Keith

1998-01-01T23:59:59.000Z

336

GIS as an investigative tool| Groundwater contamination and private wells in Guilford County, North Carolina.  

E-Print Network (OSTI)

?? The purpose of this research is twofold: (1) to demonstrate the effectiveness of GIS and spatial analysis as a tool for investigating groundwater contamination; (more)

Wolfe, Kathleen M.

2008-01-01T23:59:59.000Z

337

Web GIS Albania Platform, an Informative Technology for the Albanian Territory  

E-Print Network (OSTI)

The paper offers a detailed analysis of GIS integration as a curricula and technology in the Albanian market and institutional environment. The growing market needs for GIS utilities in Albania and the handicap, due to the lack of experts in geospatial technology constitutes a major concern. The research goal is to concentrate on the undisputed fact that the development of GIS curricula in the academic institutions will have an imminent impact on the integration of GIS technology in the market environment and vice versa the growing market needs for GIS specialists with increase the predisposition for a closer approach toward this technology in the academic environment. It is presented the development of a geospatial platform (Web GIS Albania) able to be managed and exploited, not only as a web mapping source of information, but also for individual scientific investigations, academic researches, business management, etc. Developing a platform such as Web GIS Albania will give a new impetus to every potential field, where geospatial technology can be integrated. It will have an imminent impact on both academic and market environment. Also it will create a new vision of managing specific issues by performing individual researches. In this paper it is presented a general overview necessary for a proper interpretation of the Web GIS Albania platform. Povzetek: Predstavljen je albanski sistem GIS. 1

Medjon Hysenaj; Rezarta Barjami

2012-01-01T23:59:59.000Z

338

Use of multi-criteria decision analysis with fuzzy measures in historical GIS.  

E-Print Network (OSTI)

?? Geographic information systems (GIS) can enhance historical research by providing tools to explore the spatial relationships of locations in historical sources. However, no widespread (more)

Jones, Jeanne M.

2010-01-01T23:59:59.000Z

339

An Open Source Approach to Improving GIS Implementations in Developing Countries.  

E-Print Network (OSTI)

??Geographic information system (GIS) implementations have a tendency to fail in developing countries. This thesis seeks to explore whether a web based free/open source software (more)

verland, Jan Henrik

2010-01-01T23:59:59.000Z

340

Understanding the development of Geographic Information Systems (GIS) as a professional field.  

E-Print Network (OSTI)

?? This dissertation is based on an exploratory study of GIS as it has evolved as a professional field. This study is relevant because it (more)

Mott, Tara L.

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "gis solar swera" 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

Conceptions of geographic information systems (GIS) held by senior geography students in Queensland.  

E-Print Network (OSTI)

??Geographical Information Systems (GIS) represent one of the major contributions to spatial analysis and planning of the new technologies. While teachers and others have viewed (more)

West, Bryan A.

2008-01-01T23:59:59.000Z

342

A COLLABORATIVE DIALOGUE APPROACH FOR HUMAN-GIS COMMUNICATION OF VAGUE SPATIAL CONCEPTS.  

E-Print Network (OSTI)

??Natural multimodal interfaces have been proposed as an alternative interface for geospatial information systems. A fundamental challenge in developing a usable conversational interface for GIS (more)

Wang, Hongmei

2007-01-01T23:59:59.000Z

343

Development of a 3D GIS database model for geotechnical analysis incorporating geostatistics.  

E-Print Network (OSTI)

??The application of 3D GIS and geostatistical tools in geotechnical fields enables geotechnical engineers to think spatially and make decision wisely. To support the 3D (more)

Gao, Shan.

2010-01-01T23:59:59.000Z

344

Making Maps Matter: : GIS and the Cognitive Challenges of Climate Change Adaptation in Fredrikstad, Norway.  

E-Print Network (OSTI)

??Denne oppgaven utforsker de kognitive utfordringene assosiert med klimatilpasning, og potensialet for geografiske informasjonssystemer (GIS) til inkorporere disse slik at vellykket bevisstgjring og beslutningstakning (more)

Skivenes, Ida

2009-01-01T23:59:59.000Z

345

USE OF MULTI-CRITERIA DECISION ANALYSIS WITH FUZZY MEASURES IN HISTORICAL GIS.  

E-Print Network (OSTI)

?? Geographic information systems (GIS) can enhance historical research by providing tools to explore the spatial relationships of locations in historical sources. However, no widespread (more)

Jones, Jeanne Marie

2010-01-01T23:59:59.000Z

346

Solar | Department of Energy  

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

maintained GIS data layer for Virginia's protected conservation lands. This database includes mapped boundaries and attributes for public and certain private lands having...

347

NREL: Dynamic Maps, GIS Data, and Analysis Tools - Hydrogen Data  

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

to hydrogen development locally and regionally. These additional resources include offshore wind, concentrating solar power, geothermal, hydropower, photoelectrochemical,...

348

NREL GIS Data: United States Hydrogen Potential From Renewable...  

Open Energy Info (EERE)

hydrogen development locally and regionally. These additional resources include offshore wind, concentrating solar power, geothermal, hydropower, photoelectrochemical, and...

349

Author manuscript, published in "11th International Symposium for GIS and Computer Cartography for Coastal Zone Management (CoastGIS 2013), Victoria: Canada (2013)" A dynamic GIS as an efficient tool for ICZM (Bay of Brest, Western France)?  

E-Print Network (OSTI)

This contribution deals with the role of geographical information in participatory research concerning coastal zones and its potential to bridge the gap between research and coastal zone management. The study aims at modeling the interactions between human activities in a maritime basin. A dynamic GIS is used as a tool to facilitate the exchange of points of view and to share knowledge. Geographic information technologies are used at several levels: data collection, GIS analysis, mapping, and simulations. The results show that the GIS-based capture data is well managed by the stakeholders who are interested in contributing to the process of gathering scientific data. The results of a participatory workshop with stakeholders show that the dynamic component of the data adds a real value for management. The possibility to use such a dynamic GIS to discuss and simulate management scenarios is tested, but it needs to be built up gradually.

Franoise Gourmelon; Damien Le Guyader; Guy Fontenelle

2013-01-01T23:59:59.000Z

350

Progress Toward an Updated National Solar Radiation Data Base  

SciTech Connect

Progress is reported on an updated National Solar Radiation Database (NSRDB). Focus on this year's work was on preparing a test-year database for evaluating several solar radiation models that could be used to replace the METSTAT model used in the original 1961-1990 NSRDB. That model is no longer compatible with cloud observations reported by the National Weather Service. We have also included a satellite-based model that will increase the spatial resolution of solar radiation for GIS or mapping applications. Work also included development of improved estimates for aerosols, water vapor, and ozone. High-quality solar measurements were obtained for 33 sites near National Weather Service stations, and model runs were completed for test years 1999 and 2000.

Wilcox, S.; Anderberg, M.; George, R.; Marion, W.; Myers, D.; Renne, D.; Beckman, W.; DeGaetano, A.; Gueymard, C.; Perez, R.; Plantico, M.; Stackhouse, P.; Vignola, F.

2005-01-01T23:59:59.000Z

351

Progress Toward an Updated National Solar Radiation Data Base  

DOE Green Energy (OSTI)

Progress is reported on an updated National Solar Radiation Database (NSRDB). Focus on this year's work was on preparing a test-year database for evaluating several solar radiation models that could be used to replace the METSTAT model used in the original 1961-1990 NSRDB. That model is no longer compatible with cloud observations reported by the National Weather Service. We have also included a satellite-based model that will increase the spatial resolution of solar radiation for GIS or mapping applications. Work also included development of improved estimates for aerosols, water vapor, and ozone. High-quality solar measurements were obtained for 33 sites near National Weather Service stations, and model runs were completed for test years 1999 and 2000.

Wilcox, S.; Anderberg, M.; George, R.; Marion, W.; Myers, D.; Renne, D.; Beckman, W.; DeGaetano, A.; Gueymard, C.; Perez, R.; Plantico, M.; Stackhouse, P.; Vignola, F.

2005-01-01T23:59:59.000Z

352

Solar Neutrinos  

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

Solar Neutrinos at the Conclusion of the Sudbury Neutrino Observatory Noah Oblath April 22, 2008 The study of solar neutrinos began with the idea that one could use the neutrinos...

353

Solar Easements  

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

In determining that the use of solar energy "can help reduce the nation's reliance upon imported fuels," Georgia encourages the development of solar-energy systems. Accordingly, under Georgia's...

354

Solar Easements  

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

Alaska's solar easement provisions are similar to those in many other states. They do not create an automatic right to sunlight. Rather, they allow parties to voluntarily enter into solar...

355

Solar Easements  

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

Idahos solar easement provisions allow for the access rights to sunlight for a solar energy device. The easement is transferred with the property title. Only a few Idaho communities have passed...

356

Solar collectors  

SciTech Connect

Practical applications of solar energy in commercial, industrial and institutional buildings are considered. Two main types of solar collectors are described: flat plate collectors and concentrating collectors. Efficiency of air and hydronic collectors among the flat plate types are compared. Also several concentrators are described, including their sun tracking mechanisms. Descriptions of some recent solar installations are presented and a list representing the cross section of solar collector manufacturers is furnished.

Cassidy, V.M.

1981-11-01T23:59:59.000Z

357

Solar project  

SciTech Connect

A solar laundry was installed on a college campus in South Carolina, including two separate systems installed in parallel. (LEW)

1983-01-01T23:59:59.000Z

358

Wind and Solar Resource Assessment of Sri Lanka and the Maldives (CD-ROM)  

DOE Green Energy (OSTI)

The Wind and Solar Resource Assessment of Sri Lanka and the Maldives CD contains an electronic version of Wind Energy Resource Atlas of Sri Lanka and the Maldives (NREL/TP-500-34518), Solar Resource Assessment for Sri Lanka and the Maldives (NREL/TO-710-34645), Sri Lanka Wind Farm Analysis and Site Selection Assistance (NREL/SR-500-34646), GIS Data Viewer (software and data files with a readme file), and Hourly Solar and Typical Meteorological Year Data with a readme file.

Elliott, D.; Schwartz, M.; Scott, G.; Haymes, S.; Heimiller, D.; George, R.

2003-08-01T23:59:59.000Z

359

Solar powered desalination system  

E-Print Network (OSTI)

Desalination Systems Developers MIT BARC IMB Power Solar PVcells Solar PV cells 10 MW solar farm Solar pond FranciscoSolar Energy: PEC vs. PV Solar energy is just as important

Mateo, Tiffany Alisa

2011-01-01T23:59:59.000Z

360

Catchline International Journal of Geographical Information System, Vol. X, No. X, Month 2006, xxxxxx Running heads (verso) J. Zhou and R. Golledge (recto) A three-step map matching method in the GIS environment A Three-step General Map Matching Method in the GIS Environment: Travel/Transportation Study Perspective  

E-Print Network (OSTI)

urban area by using GPS and GIS technologies. PH.D. Thesis,step map matching method in the GIS environment A Three-stepGeneral Map Matching Method in the GIS Environment: Travel/

Zhou, Jianyu Jack; Golledge, R G

2006-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "gis solar swera" 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

Satellite Remote Sensing and GIS -FS 2011 The aims of this course are threefold  

E-Print Network (OSTI)

Programme Satellite Remote Sensing and GIS - FS 2011 Aims The aims of this course are threefold of satellite remote sensing, often in relation to GIS, in different disciplines with invited speakers from about what is happening with satellite remote sensing in Switzerland and how it works in professional

Giger, Christine

362

Satellite Remote Sensing and GIS -FS 2012 The aims of this course are threefold  

E-Print Network (OSTI)

Programme Satellite Remote Sensing and GIS - FS 2012 Aims The aims of this course are threefold of satellite remote sensing, often in relation to GIS, in different disciplines with invited speakers from about what is happening with satellite remote sensing in Switzerland and how it works in professional

Giger, Christine

363

Satellite Remote Sensing and GIS -FS 2013 The aims of this course are threefold  

E-Print Network (OSTI)

Programme Satellite Remote Sensing and GIS - FS 2013 Aims The aims of this course are threefold of satellite remote sensing, often in relation to GIS, in different disciplines with invited speakers from about what is happening with satellite remote sensing in Switzerland and how it works in professional

Giger, Christine

364

U.S. Regional Energy Demand Forecasts Using NEMS and GIS  

E-Print Network (OSTI)

LBNL-57955 U.S. Regional Energy Demand Forecasts Using NEMS and GIS Jesse A. Cohen, Jennifer L Efficiency and Renewable Energy, Office of Planning, Budget, and Analysis of the U.S. Department of Energy-57955 U.S. Regional Energy Demand Forecasts Using NEMS and GIS Prepared for the Office of Planning

365

Using customers data for defining retail market size: a GIS approach  

Science Conference Proceedings (OSTI)

Geographical Information Systems (GIS) systems provide a wide array of tools for site, demographic and competitive analyses which enable retailers and marketers to answer several questions that are related to retail location. The aim of this ... Keywords: GIS, Jeddah, Saudi Arabia, customer data, demographics, geocoding, geographical information systems, market analysis, marketing policy, retail centres, retail customers, retail market size, retail planning, shopping centres

Abdulkader A. Murad

2009-03-01T23:59:59.000Z

366

Geographic Information System (GIS) Database Development, Integration, and Maintenance for the Iowa Department of  

E-Print Network (OSTI)

Geographic Information System (GIS) Database Development, Integration, and Maintenance for the Iowa-related fields. #12;Geographic Information System (GIS) Database Development, Integration, and Maintenance to limit data management and maintenance in the central office. A single database table would exist

Beresnev, Igor

367

IRA-WDS: A GIS-based risk analysis tool for water distribution systems  

Science Conference Proceedings (OSTI)

This paper presents the development of a new software tool IRA-WDS. This GIS-based software predicts the risks associated with contaminated water entering water distribution systems from surrounding foul water bodies such as sewers, drains and ditches. ... Keywords: Contaminant intrusion, Developing countries, GIS, Intermittent water supply, Risk assessment, Tight coupling, Water supply

K. Vairavamoorthy; Jimin Yan; Harshal M. Galgale; Sunil D. Gorantiwar

2007-07-01T23:59:59.000Z

368

ArcMine: A GIS extension to support mine reclamation planning  

Science Conference Proceedings (OSTI)

This paper presents a new GIS extension, named ArcMine, developed to support reclamation planning in abandoned mining areas. ArcMine provides four tools to (a) assess mine subsidence hazards, (b) estimate the erosion of mine wastes, (c) analyze flow ... Keywords: GIS, Mine reclamation, Mine wastes, Mine water, Reforestation, Subsidence

Sung-Min Kim; Yosoon Choi; Jangwon Suh; Sungchan Oh; Hyeong-Dong Park; Suk-Ho Yoon; Wa-Ra Go

2012-09-01T23:59:59.000Z

369

Short communication: Estimation of stream channel geometry in Idaho using GIS-derived watershed characteristics  

Science Conference Proceedings (OSTI)

This paper describes estimation of stream channel geometry with multiple regression analysis of GIS-derived watershed characteristics including drainage area, catchment-averaged precipitation, mean watershed slope, elevation, forest cover, percent area ... Keywords: Cross-sections, GIS, Modeling, Stream channels, Streamstats, Watersheds

Daniel P. Ames; Eric B. Rafn; Robert Van Kirk; Benjamin Crosby

2009-03-01T23:59:59.000Z

370

A GIS tool for modelling annual diffuse infiltration on a plot scale  

Science Conference Proceedings (OSTI)

ArcB is a GIS tool for modelling annual diffuse infiltration (R"P) from precipitation (P) on a plot scale that uses ArcObjects as the programming language to incorporate equations and boundary conditions for the water-balance consistency. Because detailed ... Keywords: ArcObjects, Diffuse infiltration, GIS, SE Spain, Semiarid climate

Salvador EspaA, Francisco J. Alcal, Ngela Vallejos, Antonio Pulido-Bosch

2013-04-01T23:59:59.000Z

371

GIS-based land-use suitability analysis: a critical overview  

E-Print Network (OSTI)

There are three main objectives of this monograph: (i) to provide an introduction to geographical information technology along with an historical perspective on the evolving role of Geographic Information Systems (GIS) in planning, (ii) to overview relevant methods and techniques for GISbased land-use suitability mapping and modeling, and (iii) to identify the trends, challenges and prospects of GIS-based land-use suitability analysis. The monograph focuses on two perspectives of GIS-based land-use suitability analysis: the techno-positivist perspective and the socio-political, public participation perspectives. It is organized into six chapters. After an introductory setting chapter, which defines the scope of land-use suitability analysis, an overview of relevant GIS technology is provided in Chapter 2. Chapter 3 offers an historical account of the development of GIS. It also discusses the development of GIS in the context of evolving perspectives of planning. Chapter 4 gives an overview of the methods for GIS-based land-use suitability modeling. The overview provides a background against which selected case studies are discussed in Chapter 5. The concluding chapter summarized the main points of the monographs and discusses problems and prospects for GIS-based land-use suitability analysis.

Jacek Malczewski

2004-01-01T23:59:59.000Z

372

Integrated mobile GIS and wireless internet map servers for environmental monitoring and management  

E-Print Network (OSTI)

ABSTRACT: With the progress of mobile GIS technology there is a great potential for adopting wireless communications and Internet mapping services for regional environmental management programs and natural habitat conservation. This paper provides an overview of a NASA-funded research project that focuses on the development of mobile GIS tools and wireless Internet Map Server (IMS) services to facilitate environmental monitoring and management tasks. By developing and testing wireless web-based map/image servers, mobile GIS applications, and global positional systems (GPS), this research created an integrated software/hardware infrastructure for a prototype mobile GIS application. The mobile GIS prototype allows multiple resource managers and park rangers to access large-size, remotely sensed images and GIS layers from a portable web server mounted in a vehicle. Users can conduct real-time spatial data updates and/or submit changes back to the web server over the wireless local area network (WLAN). This paper discusses in general the major components of mobile GIS, their current technological limitations, and potential problems during implementation. Key research agenda for mobile GIS are identified with suggestions for future research and development.

Ming-hsiang Tsou

2004-01-01T23:59:59.000Z

373

Collapsible 3D GIS Visualization Suwen Wang, Robert R. Beiko, Stephen Brooks  

E-Print Network (OSTI)

and workstations, 3D rendering has become widespread which has allowed GIS visualization research to explore. For example, if a GIS professional was interested in analyzing two or more distant regions simultaneously. This feature is useful for visually comparing two terrain patches which are arbitrarily distant from each other

Brooks, Stephen

374

Integrating CyberGIS gateway with Windows Azure: a case study on MODFLOW groundwater simulation  

Science Conference Proceedings (OSTI)

The CyberGIS Gateway represents a cutting-edge cyberin-frastructure-based geographic information system that facilitates computationally intensive and collaborative spatial analysis and modeling. As more and more geospatial problems are becoming increasingly ... Keywords: CyberGIS, MODFLOW, Windows Azure, cloud computing, science gateway

Babak Behzad; Anand Padmanabhan; Yong Liu; Yan Liu; Shaowen Wang

2011-11-01T23:59:59.000Z

375

GIS model for geothermal resource exploration in Akita and Iwate prefectures, northern Japan  

Science Conference Proceedings (OSTI)

In this study, a Geographic Information System (GIS) is used as a decision-making tool to target potential regional-scale geothermal resources in the Akita and Iwate prefectures of northern Japan. The aims of the study are to determine the relationships ... Keywords: GIS, Geochemistry, Geoprocessing, Geothermal, Heat flow, Temperature gradient

Younes Noorollahi; Ryuichi Itoi; Hikari Fujii; Toshiaki Tanaka

2007-08-01T23:59:59.000Z

376

SOLAR REFLE TION PANELS  

Unlike other solar collectors that are known to lose solar reflectivity due to issues with their design, the solar collector

377

Study on a method of design for rural power distribution lines based on 3D GIS technology  

Science Conference Proceedings (OSTI)

The aim of this paper is to study a three-dimensional GIS method of design for power distribution lines in rural areas, by applying SuperMap to the GIS, and to integrate the visual computer programming environment in the secondary development. A three-dimensional ... Keywords: Digital elevation model, GIS, Power distribution lines, Section map

Yong Yang; Yong-Fu Liu; Ying-Li Cao

2010-06-01T23:59:59.000Z

378

Solar Optics  

DOE Green Energy (OSTI)

Solar opacities are presented from the center of the Sun to the photosphere. The temperatures, densities and hydrogen mass fractions are taken from the standard solar model. For the heavy element abundances the Grevesse mixture is used. In the solar interior photoabsorption is dominated by free-free absorption and they compare two sets of opacities based on two different models for the inverse bremsstrahlung. The radiative luminosities calculated from the two sets of opacities are compared with those predicted by previous models of the standard solar model and also with the known luminosity of the Sun. pressures, specific heats and the speed of sound in the solar plasma are also presented.

Rozsnyai, B.F.

2000-10-04T23:59:59.000Z

379

atmospheric water vapor | OpenEI  

Open Energy Info (EERE)

atmospheric water vapor atmospheric water vapor Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Mexico, Central America, and the Caribbean Islands. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. Source NREL Date Released July 31st, 2006 (8 years ago) Date Updated October 30th, 2007 (7 years ago) Keywords atmospheric water vapor Carribean Islands Central America DNI GIS Mexico NREL GEF solar SWERA UNEP Data application/zip icon Download Shapefile (zip, 247.8 KiB) text/csv icon Download Data (csv, 370.6 KiB) Quality Metrics Level of Review Some Review

380

NREL GEF | OpenEI  

Open Energy Info (EERE)

GEF GEF Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Mexico, Central America, and the Caribbean Islands. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. Source NREL Date Released July 31st, 2006 (8 years ago) Date Updated October 30th, 2007 (7 years ago) Keywords atmospheric water vapor Carribean Islands Central America DNI GIS Mexico NREL GEF solar SWERA UNEP Data application/zip icon Download Shapefile (zip, 247.8 KiB) text/csv icon Download Data (csv, 370.6 KiB) Quality Metrics Level of Review Some Review

Note: This page contains sample records for the topic "gis solar swera" 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

Mexico | OpenEI  

Open Energy Info (EERE)

Mexico Mexico Dataset Summary Description (Abstract): Monthly Average Diffuse Solar Resource for Mexico, Central America, and the Caribbean Islands. (Purpose): Provide information on the solar radiation for the data domain. The insolation values represent the average solar energy available at a shaded location. This can be of value for day-lighting or other building applications. The data can be combined with other data (global horizontal, direct normal) to estimate the global radiation on different surfaces. Source NREL Date Released January 31st, 2004 (10 years ago) Date Updated November 30th, 2007 (7 years ago) Keywords Carribean Central America diffuse radiation GEF GIS Mexico NREL solar SWERA Data application/zip icon Download Shapefile (zip, 245.7 KiB) text/csv icon Download Data (csv, 380.6 KiB)

382

direct normal irradiance | OpenEI  

Open Energy Info (EERE)

normal irradiance normal irradiance Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal and tilted flat-plates, and 2-axis tracking concentrating collectors. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to solar collectors. Source NREL Date Released July 31st, 2006 (8 years ago) Date Updated October 30th, 2007 (7 years ago) Keywords direct normal irradiance DNI GEF GHI GIS global horizontal irradiance insolation latitutde tilt irradiance NASA NREL South America SWERA TILT UNEP Data application/zip icon Download Shapefile and Cell Maps (zip, 13.9 MiB) text/csv icon Download Data (csv, 3.5 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

383

latitutde tilt irradiance | OpenEI  

Open Energy Info (EERE)

latitutde tilt irradiance latitutde tilt irradiance Dataset Summary Description (Abstract): Monthly Average Solar Resource for flat-plate collectors tilted at latitude for Bangladesh. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented due south at an angle from horizontal equal to the latitude of the collector location. Source NREL Date Released April 12th, 2005 (9 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords atmospheric water vapor GEF GIS latitutde tilt irradiance NREL solar SWERA TILT UNEP Data text/csv icon Download Data (csv, 35.5 KiB) application/zip icon Download Shapefile (zip, 26.7 KiB) Quality Metrics

384

Carribean Islands | OpenEI  

Open Energy Info (EERE)

Carribean Islands Carribean Islands Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal flat-plate collectors, for Mexico, Central America, and the Caribbean Islands. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. Source NREL Date Released January 31st, 2004 (10 years ago) Date Updated October 30th, 2007 (7 years ago) Keywords Carribean Islands Central America GEF GHI GIS Mexico NREL solar SWERA UNEP Data text/csv icon Download Data (csv, 370.6 KiB) application/zip icon Download Shapefile (zip, 244 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

385

Carribean | OpenEI  

Open Energy Info (EERE)

Carribean Carribean Dataset Summary Description (Abstract): Monthly Average Diffuse Solar Resource for Mexico, Central America, and the Caribbean Islands. (Purpose): Provide information on the solar radiation for the data domain. The insolation values represent the average solar energy available at a shaded location. This can be of value for day-lighting or other building applications. The data can be combined with other data (global horizontal, direct normal) to estimate the global radiation on different surfaces. Source NREL Date Released January 31st, 2004 (10 years ago) Date Updated November 30th, 2007 (7 years ago) Keywords Carribean Central America diffuse radiation GEF GIS Mexico NREL solar SWERA Data application/zip icon Download Shapefile (zip, 245.7 KiB)

386

GEF | OpenEI  

Open Energy Info (EERE)

GEF GEF Dataset Summary Description (Abstract): Monthly average solar resource for horizontal flat-plate collectors for China. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. Source NREL Date Released April 12th, 2005 (9 years ago) Date Updated October 30th, 2007 (7 years ago) Keywords China GEF GHI GIS NREL solar SWERA UNEP Data application/zip icon Download Shapefile (zip, 629.4 KiB) text/csv icon Download Data (csv, 779.1 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 01/01/1985 - 12/31/1991 License License Open Data Commons Public Domain Dedication and Licence (PDDL)

387

China | OpenEI  

Open Energy Info (EERE)

China China Dataset Summary Description (Abstract): Monthly average solar resource for horizontal flat-plate collectors for China. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. Source NREL Date Released April 12th, 2005 (9 years ago) Date Updated October 30th, 2007 (7 years ago) Keywords China GEF GHI GIS NREL solar SWERA UNEP Data application/zip icon Download Shapefile (zip, 629.4 KiB) text/csv icon Download Data (csv, 779.1 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 01/01/1985 - 12/31/1991 License License Open Data Commons Public Domain Dedication and Licence (PDDL)

388

irradiance | OpenEI  

Open Energy Info (EERE)

irradiance irradiance Dataset Summary Description (Abstract): Latitude Tilt Irradiance NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008)22-year Monthly & Annual Average (July 1983 - June 2005) Parameter: Latitude Tilt Radiation (kWh/m^2/day) Internet: http://eosweb.larc.nasa.gov/sse/ Note 1: SSE Methodology & Accuracy sections online Source U.S. National Aeronautics and Space Administration (NASA), Surface meteorology and Solar Energy (SSE) Date Released March 31st, 2009 (5 years ago) Date Updated April 01st, 2009 (5 years ago) Keywords GIS global irradiance latitude mapping NASA renewable energy solar solar PV SWERA TILT UNEP Data text/csv icon Latitude Tilt Radiation (kWh/m^2/day) (csv, 11.8 MiB) application/zip icon Download Shapefile (zip, 5 MiB)

389

latitude tilt | OpenEI  

Open Energy Info (EERE)

latitude tilt latitude tilt Dataset Summary Description (Abstract): Monthly Average Solar Resource for flat-plate collectors tilted at latitude for Nepal. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented due south at an angle from horizontal equal to the latitude of the collector location. Source U.S. National Renewable Energy Laboratory (NREL) Date Released April 12th, 2005 (9 years ago) Date Updated October 30th, 2007 (7 years ago) Keywords atmospheric water vapor GIS latitude tilt Nepal NREL solar SWERA TILT UNEP Data application/zip icon Download Shapefile (zip, 25.6 KiB) text/csv icon Download Data (csv, 36.2 KiB)

390

mapping | OpenEI  

Open Energy Info (EERE)

mapping mapping Dataset Summary Description (Abstract): Latitude Tilt Irradiance NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008)22-year Monthly & Annual Average (July 1983 - June 2005) Parameter: Latitude Tilt Radiation (kWh/m^2/day) Internet: http://eosweb.larc.nasa.gov/sse/ Note 1: SSE Methodology & Accuracy sections online Source U.S. National Aeronautics and Space Administration (NASA), Surface meteorology and Solar Energy (SSE) Date Released March 31st, 2009 (5 years ago) Date Updated April 01st, 2009 (5 years ago) Keywords GIS global irradiance latitude mapping NASA renewable energy solar solar PV SWERA TILT UNEP Data text/csv icon Latitude Tilt Radiation (kWh/m^2/day) (csv, 11.8 MiB) application/zip icon Download Shapefile (zip, 5 MiB)

391

Solar | Department of Energy  

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

Administration Other Agencies You are here Home Energy Sources Renewables Solar Solar July 12, 2013 California Solar Initiative - Single-Family Affordable Solar...

393

Solar | Department of Energy  

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

21, 2013 Solar Energy Resources Solar radiation, often called the solar resource, is a general term for the electromagnetic radiation emitted by the sun. Solar radiation can be...

394

CALIFORNIA SOLAR DATA MANUAL  

E-Print Network (OSTI)

Estimating Unmeasured Solar Radiation Quantities . . . . . .Weather Data . . . . . , . , . . . . . . . . . .Solar DataB. l'he Solar Constant. . . . . . C. Solar Time and Standard

Berdahl, P.

2010-01-01T23:59:59.000Z

395

Solar Power  

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

Solar Power Solar Power Project Opportunities Abound in the Region The WIPP site is receives abundant solar energy with 6-7 kWh/sq meter power production potential As the accompanying map of New Mexico shows, the WIPP site enjoys abundant year-round sunshine. With an average solar power production potential of 6-7 kWh/sq meter per day, one exciting project being studied for location at WIPP is a 30-50 MW Solar Power Tower: The American Solar Energy Society (ASES) is is a national trade association promoting solar energy as a clean source of electricity, and provides a comprehensive resource for additional information. DOE's Office of Energy Efficiency and Renewable Energy is also a comprehensive resource for more information on renewable energy.

396

Expanded Web Map Server and WebGIS Tools Available for ORNL DAAC Data  

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

Expanded Web Map Server and WebGIS Tools Available for ORNL DAAC Data Expanded Web Map Server and WebGIS Tools Available for ORNL DAAC Data The ORNL DAAC has developed a WebGIS system that consolidates earlier project-centric viewers into one system to help users locate data, including site characteristics, from flux tower sites, MODIS ASCII Subset Sites, and NPP field sites from around the world. WebGIS is an internet-based technology that enables users to browse, query, display, and download spatial data using a standard web browser. The ORNL DAAC WebGIS includes a number of land cover, biophysical, elevation, and geopolitical layers, as well as access to other relevant Open Geospatial Consortium (OGC) layers. Users can interrogate map features and extract and download selected map features including map layers (shape files).

397

Geotechnical Seismic Hazard Evaluation At Sellano (Umbria, Italy) Using The GIS Technique  

Science Conference Proceedings (OSTI)

A tool that has been widely-used in civil engineering in recent years is the geographic information system (GIS). Geographic Information systems (GIS) are powerful tools for organizing, analyzing, and presenting spatial data. The GIS can be used by geotechnical engineers to aid preliminary assessment through to the final geotechnical design. The aim of this work is to provide some indications for the use of the GIS technique in the field of seismic geotechnical engineering, particularly as regards the problems of seismic hazard zonation maps. The study area is the village of Sellano located in the Umbrian Apennines in central Italy, about 45 km east of Perugia and 120 km north-east of Rome The increasing importance attributed to microzonation derives from the spatial variability of ground motion due to particular local conditions. The use of GIS tools can lead to an early identification of potential barriers to project completion during the design process that may help avoid later costly redesign.

Capilleri, P.; Maugeri, M. [Department of Civil and Environmental Engineering, University of Catania, viale A. Doria no 6, 95125 Catania (Italy)

2008-07-08T23:59:59.000Z

398

A GIS approach to cultural resources management and NEPA compliance  

SciTech Connect

Cultural resources management and historic preservation compliance are best approached within the broader framework of natural resources planning and land management. Argonne National Laboratory is currently assisting federal agencies with the development of computer- based resource management systems for large facilities, and cultural resources management and preservation are components of these systems. In the area of cultural resources, Argonne is using the GIS tool to demonstrate how federal facilities can manage large, complex databases, integrate cultural resource data with other environmental variables, model distributions of resources to aid in inventory and evaluation, link the data to quantitative and impact modes, and effectively manage and monitor resource planning activities and environmental compliance.

Moeller, K.

1996-06-01T23:59:59.000Z

399

GIS-BASED 1-D DIFFUSIVE WAVE OVERLAND FLOW MODEL  

Science Conference Proceedings (OSTI)

This paper presents a GIS-based 1-d distributed overland flow model and summarizes an application to simulate a flood event. The model estimates infiltration using the Green-Ampt approach and routes excess rainfall using the 1-d diffusive wave approximation. The model was designed to use readily available topographic, soils, and land use/land cover data and rainfall predictions from a meteorological model. An assessment of model performance was performed for a small catchment and a large watershed, both in urban environments. Simulated runoff hydrographs were compared to observations for a selected set of validation events. Results confirmed the model provides reasonable predictions in a short period of time.

KALYANAPU, ALFRED [Los Alamos National Laboratory; MCPHERSON, TIMOTHY N. [Los Alamos National Laboratory; BURIAN, STEVEN J. [NON LANL

2007-01-17T23:59:59.000Z

400

College Students GIS Spatial Concept Knowledge Assessed by Concept Maps  

E-Print Network (OSTI)

The development of spatial thinking proficiency has been increasingly demanded in Geographic Information System (GIS) education. Despite this educational trend, there is little empirical research on college students' spatial concept knowledge, which critically affects the quality of spatial thinking. This study addressed the following three research questions: 1) What differences exist between students' understandings of spatial concepts at the beginning, middle, and end of an introductory-level GIS course?, 2) What spatial misconceptions students may possess while taking an introductory-level GIS course?, and 3) Which spatial concepts are easy or hard for undergraduate students to understand? The researcher asked twelve participants who were taking an introductory-level GIS course to create concept maps about space and revised their concept maps in three experiment sessions. For the first question, the researcher scored the sixty obtained concept maps and statistically analyzed those scores to examine if there is any significant difference among the scores of the three experiment sessions. For the second question, the researcher examined participants' misconceptions by analyzing the incorrect statements of distortion, map projection, and scale. For the third question, the researcher statistically analyzed concept-based scores to examine if there is any significant difference among the scores of three different complexity levels. A main finding for the first question was that there was a significant difference among the scores of the concept maps created in the first session and the scores of the concept maps revised in the second and third sessions. This implied that participants could successfully revise their own original concept maps in the middle of a semester. The result of the study of the second question indicated that a half of participants misunderstood the concepts of map projections and scale. This result suggested that some undergraduate students may have difficulty shifting from scientifically inappropriate spatial concept knowledge to appropriate knowledge. Analysis of the third question resulted that the concept-based scores of simple spatial concepts are significantly higher than the scores of complicated spatial concepts. This result inferred that participants' scores decreased as the complexity of the concepts increased.

Oda, Katsuhiko

2011-05-01T23:59:59.000Z

Note: This page contains sample records for the topic "gis solar swera" 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

California Solar Initiative - Solar Thermal Program | Department...  

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

Solar Thermal Program California Solar Initiative - Solar Thermal Program Eligibility Commercial Fed. Government Industrial Local Government Low-Income Residential Multi-Family...

402

RISO DTU | OpenEI  

Open Energy Info (EERE)

RISO DTU RISO DTU Dataset Summary Description (Abstract): Stand-alone and easy to use geographic toolkit that allows non-GIS users to relate the renewable energy resource (solar and wind) data to other geographic data, such as land use, protected areas, elevation, etc. Source NREL Date Released October 31st, 2005 (9 years ago) Date Updated July 06th, 2012 (2 years ago) Keywords Bangladesh DLR GEF Geospatial Toolkit GIS NREL RISO DTU SWERA UNEP Data application/zip icon Download Executable Toolkit & Documentation (zip, 20.4 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2005 License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset Usefulness of the metadata Average vote Your vote

403

CNE | OpenEI  

Open Energy Info (EERE)

5 5 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142278295 Varnish cache server CNE Dataset Summary Description (Abstract): Stand-alone and easy to use geographic toolkit that allows non-GIS users to relate the renewable energy resource (solar and wind) data to other geographic data, such as land use, protected areas, elevation, etc. Source NREL Date Released October 31st, 2005 (9 years ago) Date Updated July 06th, 2012 (2 years ago) Keywords CNE GEF Geospatial Toolkit GIS Nicaragua NREL SUNY SWERA UNEP Data application/zip icon Download Executable Toolkit & Documentation (zip, 42.4 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

404

MEM | OpenEI  

Open Energy Info (EERE)

MEM MEM Dataset Summary Description (Abstract): Stand-alone and easy to use geographic toolkit that allows non-GIS users to relate the renewable energy resource (solar and wind) data to other geographic data, such as land use, protected areas, elevation, etc. Source NREL Date Released October 31st, 2005 (9 years ago) Date Updated July 06th, 2012 (2 years ago) Keywords GEF Geospatial Toolkit GIS Guatemala MEM NREL SWERA UNEP Data application/zip icon Download Executable Toolkit & Documentation (zip, 31.3 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2005 License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset Usefulness of the metadata Average vote Your vote

405

Nicaragua | OpenEI  

Open Energy Info (EERE)

Nicaragua Nicaragua Dataset Summary Description (Abstract): Stand-alone and easy to use geographic toolkit that allows non-GIS users to relate the renewable energy resource (solar and wind) data to other geographic data, such as land use, protected areas, elevation, etc. Source NREL Date Released October 31st, 2005 (9 years ago) Date Updated July 06th, 2012 (2 years ago) Keywords CNE GEF Geospatial Toolkit GIS Nicaragua NREL SUNY SWERA UNEP Data application/zip icon Download Executable Toolkit & Documentation (zip, 42.4 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2005 License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset Usefulness of the metadata Average vote Your vote

406

NREL: Dynamic Maps, Geographic Information System (GIS) Data...  

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

on a rooftop analysis project to determine the potential rooftop space available for solar panel installation. She runs the first-return raster against the slope, aspect, and...

407

GIS-BASED PREDICTION OF HURRICANE FLOOD INUNDATION  

Science Conference Proceedings (OSTI)

A simulation environment is being developed for the prediction and analysis of the inundation consequences for infrastructure systems from extreme flood events. This decision support architecture includes a GIS-based environment for model input development, simulation integration tools for meteorological, hydrologic, and infrastructure system models and damage assessment tools for infrastructure systems. The GIS-based environment processes digital elevation models (30-m from the USGS), land use/cover (30-m NLCD), stream networks from the National Hydrography Dataset (NHD) and soils data from the NRCS (STATSGO) to create stream network, subbasins, and cross-section shapefiles for drainage basins selected for analysis. Rainfall predictions are made by a numerical weather model and ingested in gridded format into the simulation environment. Runoff hydrographs are estimated using Green-Ampt infiltration excess runoff prediction and a 1D diffusive wave overland flow routing approach. The hydrographs are fed into the stream network and integrated in a dynamic wave routing module using the EPA's Storm Water Management Model (SWMM) to predict flood depth. The flood depths are then transformed into inundation maps and exported for damage assessment. Hydrologic/hydraulic results are presented for Tropical Storm Allison.

JUDI, DAVID [Los Alamos National Laboratory; KALYANAPU, ALFRED [Los Alamos National Laboratory; MCPHERSON, TIMOTHY [Los Alamos National Laboratory; BERSCHEID, ALAN [Los Alamos National Laboratory

2007-01-17T23:59:59.000Z

408

GIS Symbology for FRMAC/CMHT Radiological/Nuclear Products  

SciTech Connect

This document is intended to codify, to the extent currently possible, the representation of map products produced for and by the Federal Radiological Monitoring and Assessment Center (FRMAC) and the Consequence Management Home Team (CHMT), particularly those that include model products from the National Atmospheric Release Advisory Capability (NARAC). This is to facilitate consistency between GIS products produced by different members of these teams, which should ease the task of interpreting these products by both team members and those outside the team who may need to use these products during a response. The aspects of symbology being considered are primarily isopleths levels (breakpoints) and colors used to plot NARAC modeled dose or deposition fields on mpas, although some comments will be made about the handling of legend and supporting textual information. Other aspects of symbolizing such products (e.g., transparency) are being left to the individual team members to allow them to adapt to particular organizational needs or requirements that develop during a particular a response or exercise. This document has been written in coordination with the creation of training material in Baskett, et al., 2008. It is not intended as an aid to NARAC product interpretation but to facilitate the work of GIS specialists who deal with these products in map design and in the development of supporting scripts and software that partially or completely automate the integration of NARAC model products with other GIS data. This work was completed as part of the NA-42 Technical Integration Project on GIS Automated Data Processing and Map Production in FY 2008. Other efforts that are part of this work include (a) updating the NARAC shapefile product representation to facilitate the automation work proceed at RSL as part of the same TI effort and (b) to ensure that the NARAC shapefile construct includes all of the necessary legend and other textual data to interpret dispersion and deposition patterns and related products correctly. This document is focusing on the products produced by the GIS Division of the Remove Sensing Laboratory (RSL) and by the National Atmospheric Release Advisory Center (NARAC), both separately and in combination. The expectation is that standard products produced by either group independently or in combination should use the same key attributes in displaying the same kinds of data so that products of a given type generally look similar in key aspects of the presentation, thereby minimizing any confusion of users when a variety of products from these groups may be needed. This document is dealing with the set of common standard products used in responding to radiological/nuclear releases. There are a number of less standard products that are used occasionally or in certain specific situations that are not addressed here. This includes special products that are occasionally produced by both NARAC and RSL in responses and major exercises to meet immediate and unanticipated requirements. At some future time, it may be appropriate to review the handling of such special products by both organizations to determine if there are any areas that would benefit from being integrated with the conventions described here. A particular area that should be addressed in the near-term is that of Derived Response Levels (DRLs) calculated by the Consequence Management Home Team (CMHT) or FRMAC Assessment Scientists. A new calculation is done for every event assigning contour levels, or break-points, based upon field measurements. These contour levels can be applied to deposition or dose rate NARAC calculations. Because these calculations are different every time, they can not be stored in a database.

Walker, H; Aluzzi, F; Foster, K; Pobanz, B; Sher, B

2008-10-06T23:59:59.000Z

409

Solar News  

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

news Office of Energy Efficiency & Renewable news Office of Energy Efficiency & Renewable Energy Forrestal Building 1000 Independence Avenue, SW Washington, DC 20585 en Energy Department Announces $19 Million to Drive Down Solar Soft Costs, Increase Hardware Efficiency http://energy.gov/eere/articles/energy-department-announces-19-million-drive-down-solar-soft-costs-increase-hardware solar-soft-costs-increase-hardware" class="title-link">Energy Department Announces $19 Million to Drive Down Solar Soft Costs, Increase Hardware Efficiency

410

Solar Decathlon  

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

U.S. Department of Energy U.S. Department of Energy Solar Decathlon Sara Farrar-Nagy National Renewable Energy Laboratory sara.farrar-nagy@nrel.gov, 303-384-7514 April 3, 2013 Solar Decathlon 2009 Solar Decathlon 2011 Solar Decathlon 2013 & XPO Washington, D.C. Washington, D.C. Irvine, California 2 | Building Technologies Office eere.energy.gov Purpose & Objectives Problem Statement: How to provide workforce training, improve building science instruction, foster innovation in whole-building design, and

411

Solar Cells  

Science Conference Proceedings (OSTI)

Mar 5, 2013 ... Here we are using microwaves for increasing the surface area of titania nanopowders for energy based applications like dye sensitized solar...

412

SOLAR RADIATION ESTIMATION ON BUILDING ROOFS AND WEB-BASED SOLAR CADASTRE  

E-Print Network (OSTI)

The aim of this study is the estimation of solar irradiance on building roofs in complex Alpine landscapes. Very high resolution geometric models of the building roofs are generated by means of advanced automated image matching methods. Models are combined with raster and vector data sources to estimate the incoming solar radiation hitting the roofs. The methodology takes into account for atmospheric effects, site latitude and elevation, slope and aspect of the terrain as well as the effects of shadows cast by surrounding buildings, chimneys, dormers, vegetation and terrain topography. An open source software solution has been developed and applied to a study area located in a mountainous site and containing some 1250 residential, commercial and industrial buildings. The method has been validated by data collected with a pyranometer and results made available through a prototype WebGIS platform. 1.

G. Agugiaro A; Commission Ii Wg

2012-01-01T23:59:59.000Z

413

DOE Solar Decathlon: Solar Decathlon Videos  

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

Consumer Workshops Consumer Workshops Building Industry Workshops Technical Resources Sponsors Where Are the Houses Now? Quick Links Solar Decathlon Home Solar Decathlon 2011 Solar Decathlon 2009 Solar Decathlon 2007 Solar Decathlon 2005 Solar Decathlon 2002 Solar Decathlon 2011 Solar Decathlon Videos For video of the U.S. Department of Energy Solar Decathlon 2011, see the collections listed below or visit the U.S. Department of Energy Solar Decathlon YouTube Channel. General Solar Decathlon Videos Watch these videos to learn about the Solar Decathlon competition and event. Solar Decathlon House Video Tours Learn about each of the U.S. Department of Energy Solar Decathlon teams and their houses in these video tours. Solar Decathlon Team-Produced Videos Watch videos produced by the teams themselves for the Solar Decathlon

414

Indian Country Solar Energy Potential Estimates & DOE IE Updates  

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

Potential for Renewable Energy Potential for Renewable Energy Development on Tribal Lands October 2012 1 Introduction * The DOE Office of Indian Energy Policy and Programs (OI) requested ICF International (ICF) to identify areas within Tribal Lands that have a strong potential for renewable energy generation (solar and wind) as a source of Tribal revenue within the geographic area covered by the Western Electric Coordination Council (WECC) transmission grid * ICF used a combination of geospatial modeling and power flow modeling to identify sites where: - Conditions are optimal for solar or wind generation - Access to high-voltage transmission lines is favorable - Transmission upgrade costs would be minimal 2 Geospatial Analysis Phase I: Identify Potential Sites * Obtained GIS layers (e.g., wind/solar resources, transmission

415

Global Atlas for Solar and Wind Energy | Open Energy Information  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » Global Atlas for Solar and Wind Energy Jump to: navigation, search Tool Summary Name: Global Atlas for Solar and Wind Energy Agency/Company /Organization: International Renewable Energy Agency (IRENA) Sector: Energy Focus Area: Renewable Energy References: IRENA - Global Atlas[1] Overview "The Global Atlas for Solar and Wind Energy project aims to create a collaborative internet-based Geographic Information System (GIS) of these renewable resources that can direct and enhance cooperation on global scenarios and strategies and support decision-making, especially in areas

416

Preparation and Execution of the GIS First Overhaul for Qinshan NPP Phase One  

SciTech Connect

This paper addresses the necessity and feasibility of the first major overhaul on the GIS based on the analysis of the special conditions and the issues we confronted; After the comparison of various schemes, the optimized scheme is put forward; the paper also expounds the proper preparation and cautious practice which led to the hard but final accomplishment of the initial overhaul on the GIS; this article further explains the necessity of the major overhaul on the GIS through the disposal of abnormalities during the execution of this major overhaul. (authors)

Kaihong Lou; Jiapeng Yan [Qinshan Nuclear Power Company (China)

2006-07-01T23:59:59.000Z

417

contours | OpenEI  

Open Energy Info (EERE)

contours contours Dataset Summary Description (Abstract): Annual and seasonal mean of Latitude Tilt Solar Radiation in kWh/m2/day based on data from 1995 to 2002 (Purpose): To provide a set of consistent, reliable, verifiable, and accessible global data sets for international and in-country investors and other stakeholders Source INPE (National Institute for Spatial Research) and LABSOLAR (Laboratory of Solar Energy/Federal University of Santa Catarina) - Brazil Date Released August 11th, 2005 (9 years ago) Date Updated November 07th, 2007 (7 years ago) Keywords Brazil contours GEF GIS INPE LABSOLAR latitude tilt solar SWERA TILT UNEP Data application/zip icon Download Data (zip, 2.4 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency

418

UAE | OpenEI  

Open Energy Info (EERE)

UAE UAE Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Global Horizontal Irradiance (DNI) for United Arab Emirates (UAE). The data are available for monthly and annual sums stored in a ESRI-Shapefile. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released Unknown Date Updated February 19th, 2009 (5 years ago) Keywords DLR GHI GIS solar SWERA UAE UNEP United Arab Emirates Data application/zip icon Download Shapefile (zip, 31.1 MiB) text/csv icon Download Data (csv, 151.3 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

419

United Arab Emirates | OpenEI  

Open Energy Info (EERE)

Arab Emirates Arab Emirates Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Global Horizontal Irradiance (DNI) for United Arab Emirates (UAE). The data are available for monthly and annual sums stored in a ESRI-Shapefile. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released Unknown Date Updated February 19th, 2009 (5 years ago) Keywords DLR GHI GIS solar SWERA UAE UNEP United Arab Emirates Data application/zip icon Download Shapefile (zip, 31.1 MiB) text/csv icon Download Data (csv, 151.3 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

420

INPE | OpenEI  

Open Energy Info (EERE)

INPE INPE Dataset Summary Description (Abstract): Diffuse solar radiation in kWh/m2/day for 1 year organized into cells with 10km x 10km (Purpose): The BRASIL-SR model and the SPRING software (both developed by INPE - National Institute for Space Research) were used to produce the dataset and SHAPE files Source INPE (National Institute for Spatial Research) and LABSOLAR (Laboratory of Solar Energy/Federal University of Santa Catarina) - Brazil Date Released August 08th, 2009 (5 years ago) Date Updated August 08th, 2009 (5 years ago) Keywords Brazil diffuse radiation GIS INPE LABSOLAR solar SWERA Data application/zip icon Download Shapefile (zip, 10.5 MiB) text/csv icon Download Data (csv, 15.7 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

Note: This page contains sample records for the topic "gis solar swera" 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

Brazil | OpenEI  

Open Energy Info (EERE)

Brazil Brazil Dataset Summary Description (Abstract): Diffuse solar radiation in kWh/m2/day for 1 year organized into cells with 10km x 10km (Purpose): The BRASIL-SR model and the SPRING software (both developed by INPE - National Institute for Space Research) were used to produce the dataset and SHAPE files Source INPE (National Institute for Spatial Research) and LABSOLAR (Laboratory of Solar Energy/Federal University of Santa Catarina) - Brazil Date Released August 08th, 2009 (5 years ago) Date Updated August 08th, 2009 (5 years ago) Keywords Brazil diffuse radiation GIS INPE LABSOLAR solar SWERA Data application/zip icon Download Shapefile (zip, 10.5 MiB) text/csv icon Download Data (csv, 15.7 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

422

LABSOLAR | OpenEI  

Open Energy Info (EERE)

LABSOLAR LABSOLAR Dataset Summary Description (Abstract): Diffuse solar radiation in kWh/m2/day for 1 year organized into cells with 10km x 10km (Purpose): The BRASIL-SR model and the SPRING software (both developed by INPE - National Institute for Space Research) were used to produce the dataset and SHAPE files Source INPE (National Institute for Spatial Research) and LABSOLAR (Laboratory of Solar Energy/Federal University of Santa Catarina) - Brazil Date Released August 08th, 2009 (5 years ago) Date Updated August 08th, 2009 (5 years ago) Keywords Brazil diffuse radiation GIS INPE LABSOLAR solar SWERA Data application/zip icon Download Shapefile (zip, 10.5 MiB) text/csv icon Download Data (csv, 15.7 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

423

South America | OpenEI  

Open Energy Info (EERE)

America America Dataset Summary Description (Abstract): Mean values of Diffuse Solar Radiation in kWh/m2/day for 40km cells for 1 year (month, season, year) based on data from 1995 to 2005. (Purpose): To provide a set of consistent, reliable, verifiable, and accessible global data sets for international and in-country investors and other stakeholders. Source INPE (National Institute for Spatial Research) and LABSOLAR (Laboratory of Solar Energy/Federal University of Santa Catarina) - Brazil Date Released August 05th, 2009 (5 years ago) Date Updated August 05th, 2009 (5 years ago) Keywords diffuse radiation GIS INPE LABSOLAR solar South America SWERA Data text/csv icon Download Data (csv, 1.9 MiB) application/zip icon Download Shapefile (zip, 978.9 KiB) Quality Metrics

424

DLR | OpenEI  

Open Energy Info (EERE)

DLR DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Global Horizontal Irradiance (DNI) for United Arab Emirates (UAE). The data are available for monthly and annual sums stored in a ESRI-Shapefile. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released Unknown Date Updated February 19th, 2009 (5 years ago) Keywords DLR GHI GIS solar SWERA UAE UNEP United Arab Emirates Data application/zip icon Download Shapefile (zip, 31.1 MiB) text/csv icon Download Data (csv, 151.3 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

425

Solar and Wind Energy Resource Assessment in Nepal | OpenEI  

Open Energy Info (EERE)

in Nepal in Nepal Dataset Summary Description (Abstract): Global Horizontal Solar Irradiance is developed based on a linear regression model that has been developed to correlate the theoretical and ground measured solar irradiance on the basis of available ground measured Global Horizontal Solar Irradiance at three locations: a) Syangboche (Solukhumbu) b) Pulchowk (Lalitpur) and c) Prakashpur (Sunsari). These locations represent the three different geographical regions: Mountain, Hill and Plain. The model is used for converting the theoretical Global Horizontal Solar Irradiance to actual solar irradiance in 15 meteorological stations spread throughout the country. Interpolating the data obtained at these stations, a map has been developed using ArcView GIS software. The existing methodology for projecting wind speedat 2m height from DHM meteorological station data to 10m height, shows a deviated figures. In other to develop wind map, valid methodology is required which can project the low height wind speed to higher heights. The projected data (Thini and Thakmarpha) when

426

The solar radiation model for Open source GIS: implementation and applications  

E-Print Network (OSTI)

cet article doit prsent les possibilits, la structure et l'excution du modle solaire de rayonnement de r.sun et montrer des exemples de son application. Chacun des trois composants de rayonnement solaire potentiel est calcul (faisceau, diffus et reflt) pour des tats de clair-ciel. Les conditions obscurcies peuvent tre aussi bien simules en utilisant un facteur d'attnuation de nuages. Le modle est applicable pour les grandes rgions, variation spatiale de rayonnement solaire due au terrain et terrain-ombrageant des effets sont galement inclus. Les exemples prsentent l'application du modle solaire de rayonnement pour projeter les systmes photovoltaques en Europe de l'Est centrale et et pour le rayonnement solaire modelant dans le terrain montagneux de la Slovaquie

Jaroslav Hofierka; Marcel Suri; Marcel ri

2002-01-01T23:59:59.000Z

427

Solar: monthly direct normal (DNI) GIS data at 10km resolution...  

Open Energy Info (EERE)

visible irradiance, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total of the normal or beam...

428

Solar: annual average direct normal (DNI) GIS data at 10km resolution...  

Open Energy Info (EERE)

visible irradiance, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total of the normal or beam...

429

Solar: monthly and annual average latitude tilt GIS data at 40km...  

Open Energy Info (EERE)

on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and...

430

Solar: monthly direct normal (DNI) GIS data at 40km resolution...  

Open Energy Info (EERE)

on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and...

431

Solar: monthly global horizontal (GHI) GIS data at 40km resolution...  

Open Energy Info (EERE)

on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and...

432

Solar: monthly latitude tilt GIS data at 40km resolution for...  

Open Energy Info (EERE)

on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and...

433

NREL: Dynamic Maps, GIS Data, and Analysis Tools - Biomass Data  

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

Biomass Data Biomass Data These datasets represent the biomass resource availability in the United States by county. The estimates are based on county-level statistics and/or point-source data gathered from the U.S. Department of Agriculture, U.S. Forest Service, EPA and other organizations. Geographic Coordinate System Name: GCS_North_American_1983 Coverage File Size Last Updated Metadata Urban Wood and Secondary Mill Residues (Zip 6.8 MB) 5/23/2012 Urban Wood and Secondary Mill Residues.xml Geographic Coordinate System Name: WGS 1984 Coverage File Size Last Updated Metadata Crop Residues (Zip 6.81 MB) 10/28/2008 Crop Residues.xml Forest and Primary Mill Residues (Zip 69.75 MB) 10/28/2008 Forest and Primary Mill Residues.xml Note - These datasets are designed to be used in GIS software applications.

434

NREL: Dynamic Maps, GIS Data, and Analysis Tools - Biomass Maps  

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

Biomass Maps Biomass Maps These maps illustrate the biomass resources available in the United States by county. Biomass feedstock data are analyzed both statistically and graphically using a geographic information system (GIS). The following feedstock categories are evaluated: crop residues, forest residues, primary and secondary mill residues, urban wood waste, and methane emissions from manure management, landfills, and domestic wastewater treatment. Biomass Resources in the United States Map of Total Biomass Resources in the United States Total Resources by County Total Biomass per Square Kilometer These maps estimate the biomass resources currently available in the United States by county. They include the following feedstock categories: crop residues (5 year average: 2003-2007) forest and primary mill residues

435

NREL: Dynamic Maps, GIS Data, and Analysis Tools - Maps  

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

Bookmark and Share Bookmark and Share Maps NREL's GIS team develops maps for various renewable resources and for specific projects. As a benefit to the public, a majority of static maps are offered and Google Map (KML/KMZ) files on a tool called MapSearch. Biomass Maps Maps showing the biomass resources available in the United States by county. Feedstock categories include crop residues; forest residues; primary and secondary mill residues; urban wood waste; and methane emissions from manure management, landfills, and domestic wastewater treatment. Federal Energy Management Program The Federal Energy Management Program (FEMP) teamed with Geospatial Analysis staff at NREL to update the analysis for this project and created an interactive FEMP Screening Map application. The previous maps have been

436

A Conceptual Model for Web-Based Heterogeneous GIS  

E-Print Network (OSTI)

reference systems they reside have been provided by the OpenGIS Consortium (OGC 1996a, 1996b). The design of our Internet-based archive will meet interoperability and standardization requirements. The capability of accessing and delivering data efficiently can be achieved by enabling the system to transmit data progressively. Progressive transmission of raster images over the World Wide Web has been successfully applied to provide the user with coarser versions of data before downloading a complete image. This process is particularly useful when trying to access large amounts of data remotely through a slow communication link (e.g., a modem). Although communication lines (e.g., fiber optic cable) are getting faster, the current technology still does not adequately support wireless communication. Transmission of large amounts of data across mobile devices will continue to be an impediment for the foreseeable future; therefore, geographers and surveyors who want to access map d

Michela Bertolotto

2000-01-01T23:59:59.000Z

437

U.S. Regional Demand Forecasts Using NEMS and GIS  

SciTech Connect

The National Energy Modeling System (NEMS) is a multi-sector, integrated model of the U.S. energy system put out by the Department of Energy's Energy Information Administration. NEMS is used to produce the annual 20-year forecast of U.S. energy use aggregated to the nine-region census division level. The research objective was to disaggregate this regional energy forecast to the county level for select forecast years, for use in a more detailed and accurate regional analysis of energy usage across the U.S. The process of disaggregation using a geographic information system (GIS) was researched and a model was created utilizing available population forecasts and climate zone data. The model's primary purpose was to generate an energy demand forecast with greater spatial resolution than what is currently produced by NEMS, and to produce a flexible model that can be used repeatedly as an add-on to NEMS in which detailed analysis can be executed exogenously with results fed back into the NEMS data flow. The methods developed were then applied to the study data to obtain residential and commercial electricity demand forecasts. The model was subjected to comparative and statistical testing to assess predictive accuracy. Forecasts using this model were robust and accurate in slow-growing, temperate regions such as the Midwest and Mountain regions. Interestingly, however, the model performed with less accuracy in the Pacific and Northwest regions of the country where population growth was more active. In the future more refined methods will be necessary to improve the accuracy of these forecasts. The disaggregation method was written into a flexible tool within the ArcGIS environment which enables the user to output the results in five year intervals over the period 2000-2025. In addition, the outputs of this tool were used to develop a time-series simulation showing the temporal changes in electricity forecasts in terms of absolute, per capita, and density of demand.

Cohen, Jesse A.; Edwards, Jennifer L.; Marnay, Chris

2005-07-01T23:59:59.000Z

438

NREL GIS Data: Wave Energy Assessment for the United States and...  

Open Energy Info (EERE)

serves as an independent validator and also develops the final GIS-based display of the data. Geographic Range US coastline, including AK, HI and Puerto Rico, out to 50...

439

Geolocation of man-made reservoirs across terrains of varying complexity using GIS  

Science Conference Proceedings (OSTI)

The Reservoir Sedimentation Survey Information System (RESIS) is one of the world's most comprehensive databases of reservoir sedimentation rates, comprising nearly 6000 surveys for 1819 reservoirs across the continental United States. Sediment surveys ... Keywords: DEM, GIS, Reservoir sedimentation, Terrain complexity

David M. Mixon; David A. Kinner; Robert F. Stallard; James P. M. Syvitski

2008-10-01T23:59:59.000Z

440

Development of a Carbon Management Geographic Information System (GIS) for the United States  

SciTech Connect

In this project a Carbon Management Geographical Information System (GIS) for the US was developed. The GIS stored, integrated, and manipulated information relating to the components of carbon management systems. Additionally, the GIS was used to interpret and analyze the effect of developing these systems. This report documents the key deliverables from the project: (1) Carbon Management Geographical Information System (GIS) Documentation; (2) Stationary CO{sub 2} Source Database; (3) Regulatory Data for CCS in United States; (4) CO{sub 2} Capture Cost Estimation; (5) CO{sub 2} Storage Capacity Tools; (6) CO{sub 2} Injection Cost Modeling; (7) CO{sub 2} Pipeline Transport Cost Estimation; (8) CO{sub 2} Source-Sink Matching Algorithm; and (9) CO{sub 2} Pipeline Transport and Cost Model.

Howard Herzog; Holly Javedan

2009-12-31T23:59:59.000Z

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


441

Wind: monthly and annual average wind GIS data at one-degree...  

Open Energy Info (EERE)

monthly and annual average wind GIS data at one-degree resolution of the World from NASASSE

(Abstract): Wind Speed At 50 m Above The Surface Of The Earth (m...

443

Integrating GIS with Distributed Applications Using Dynamic Data-Sharing Mechanisms  

Science Conference Proceedings (OSTI)

Effective integration of a stand-alone GIS (e.g., ArcView 3.x) into a complex distributed software application requires an efficient, reliable mechanism for passing data and function requests to and from the GIS component. This paper describes the use of dynamic data-sharing and inter-process communication mechanisms to integrate GIS capability into a multi-jurisdictional distributed emergency management information system. These mechanisms include dynamic layer updates from spatial and attribute information shared via a distributed relational database across multiple sites; storage of private and shared ViewMarks to facilitate consistent GIS views; and asynchronous inter-process communication using function queuing and a data sharing library.

Burnett, Robert A. (BATTELLE (PACIFIC NW LAB)); Tzemos, Spyridon (BATTELLE (PACIFIC NW LAB)); Stoops, LaMar R. (BATTELLE (PACIFIC NW LAB))

2002-08-21T23:59:59.000Z

444

Additional GIS Registration for Non-U.S. Citizens | Center for...  

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

form by November 4, 2013 and be approved in the BNL Guest Information System (GIS) before they will be granted access to the laboratory. All guests planning to use...

445

An interactive, online Geographic Information System (GIS) for stakeholder participation in environmental site selection  

E-Print Network (OSTI)

An interactive, online geographic information system (GIS) was developed to enhance the involvement of stakeholders in the public participation processes of site selection issues in the marine environment. Displaying ...

Adams, Christiaan Scott, 1973-

2004-01-01T23:59:59.000Z

446

Additional GIS Registration for Non-U.S. Citizens | BNL Computational...  

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

form by October 21, 2013 and be approved in the BNL Guest Information System (GIS) before they will be granted access to the laboratory. All guests planning to use...

447

Solar PST | Open Energy Information  

Open Energy Info (EERE)

Solar PST Jump to: navigation, search Name Solar PST Place Bergondo, Spain Zip 15 165 Sector Solar Product Spanish company producing thermodynamic solar panels. References Solar...

448

Solar ponds  

DOE Green Energy (OSTI)

The different types of solar ponds are described, including the nonconvecting salt gradient pond and various saltless pond designs. Then the availability and cost of salts for salt gradient ponds are discussed and costs are compared. A simple computational model is developed to approximate solar pond performance. This model is later used to size solar ponds for district heating and industrial process heat applications. For district heating, ponds are sized to provide space conditioning for a group of homes, in different regions of the United States. Size requirement is on the order of one acre for a group of 25 to 50 homes. An economic analysis is performed of solar ponds used in two industrial process heat applications. The analysis finds that solar ponds are competitive when conventional heat sources are priced at $5 per million Btu and expected to rise in price at a rate of 10% per year. The application of solar ponds to the generation of electricity is also discussed. Total solar pond potential for displacing conventional energy sources is estimated in the range of from one to six quadrillion Btu per year in the near and intermediate future.

Jayadev, T.S.; Edesess, M.

1980-04-01T23:59:59.000Z

449

GIS/GPS Workshop '99: Applications and Developments for Electric Utilities  

Science Conference Proceedings (OSTI)

This report documents a 1999 EPRI workshop on recent geographic information system (GIS) and global positioning system (GPS) applications and developments relevant to electric utilities. The workshop content centered around the current state of the art in GIS and GPS technology suited to the planning, design, and management of power delivery assets. Contained in the report are the workshop agenda, lists of presenters and attendees, copies of the workshop presentations, and a summary of the group discussi...

1999-09-30T23:59:59.000Z

450

Solar Two  

DOE Green Energy (OSTI)

Solar Two is a concentrating solar power plant that can supply electric power on demand to the local utility, Southern California Edison Company. It can do so because it operates not only during sunny parts of the day, but it can store enough thermal energy from the sun to operate during cloudy periods and after dark, for up to three hours, at its rated output of 10 megawatts (MW). For the first time ever, a utility scale solar power plant can supply electricity when the utility needs it most, to satisfy the energy requirements of its customers.

Not Available

1998-04-01T23:59:59.000Z

451

APPLICATIONS OF GIS IN COMMUNITY-BASED FOREST MANAGEMENT IN AUSTRALIA (AND NEPAL) By  

E-Print Network (OSTI)

Community forestry is now a popular approach in forest management globally. Although local communities have previously been involved in forest management in various minor ways, community-based forestry is very new in the Australian context. Because of the multiple interests of forest users and other community interest groups, a wider range of up-to-date information is being requested in community forestry, than has been used in conventional government-based forest management in the past. The overall aim of this research was to explore the potential and constraints for the application of Geographic Information System (GIS) technology in community forest management in Australia and to relate the results also to Nepal. Specific objectives were to: (i) review the applications of GIS in forestry and community forestry worldwide, (ii) determine stakeholders views on their requirements for the use of GIS in community-based forest management, (iii) prepare and demonstrate various practical applications of GIS requested by community groups in the Wombat State Forest, (iv) identify the strengths and limitations of GIS in community forestry, and (v) relate findings on GIS

Himlal Baral

2004-01-01T23:59:59.000Z

452

CALIFORNIA SOLAR DATA MANUAL  

E-Print Network (OSTI)

The University of Wisconsin Interactive Solar Heating DesignProgram, , , , c, Solar Heating of Buildings and DomesticProperty Standards for Solar Heating and Domestic Hot Water

Berdahl, P.

2010-01-01T23:59:59.000Z

453

CALIFORNIA SOLAR DATA MANUAL  

E-Print Network (OSTI)

Program, , , , c, Solar Heating of Buildings and DomesticR.L. (1976): Solar Heating of Buildings and Domestic Hotthe costs. c. SOLAR HEATING OF BUILDINGS AND DOMESTIC HOT

Berdahl, P.

2010-01-01T23:59:59.000Z

454

Solar | Department of Energy  

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

Administration Other Agencies You are here Home Energy Sources Renewables Solar Solar July 12, 2013 Austin Energy - Value of Solar Residential Rate (Texas) Austin...

455

Solar | Department of Energy  

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

Administration Other Agencies You are here Home Energy Sources Renewables Solar Solar July 12, 2013 City of Tallahassee Utilities - Solar Water Heating Rebate The...

456

Solar | Department of Energy  

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

Administration Other Agencies You are here Home Energy Sources Renewables Solar Solar July 12, 2013 Austin Utilities - Solar Rebate Program Austin Utilities provides...

457

Solar | Department of Energy  

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

Administration Other Agencies You are here Home Energy Sources Renewables Solar Solar July 12, 2013 Commonwealth Solar Hot Water Commercial Program Feasibility study...

458

DOE Solar Decathlon: Visit  

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

Department of Energy Solar Decathlon 2013 at the Orange Country Great Park in Irvine, California The Solar Decathlon houses and surrounding Solar Decathlon village are open to...

459

Solar | Department of Energy  

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

October 8, 2009 DOE Announces 87 Million in Funding to Support Solar Energy Technologies Projects Aim to Accelerate Adoption of Solar Energy and Develop Solar Workforce September...

460

Solar | Department of Energy  

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

contracts which must be entered into in order to ensure uninterrupted solar access for solar energy devices. Solar easement agreements are required at a minimum to contain...

Note: This page contains sample records for the topic "gis solar swera" 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

Solar | Department of Energy  

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

16, 2013 Solar Energy Technologies Solar energy technologies produce electricity from the energy of the sun. Small solar energy systems can provide electricity for homes,...

462

Solar | Department of Energy  

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

Solar, Wind, and Energy Efficiency Easements and Rights Laws Colorado's solar access laws, which date back to 1979, prohibit any residential covenants that restrict solar access....

463

Solar | Department of Energy  

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

loans for renewable energy and energy efficiency projects. Eligible renewable energy technologies include solar thermal, solar space heat, solar process heat,...

464

Solar | Department of Energy  

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

plan. October 16, 2013 Residential Solar and Wind Energy Systems Tax Credit Arizona's Solar Energy Credit is available to individual taxpayers who install a solar or wind...

465

Solar | Department of Energy  

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

is joining America's solar revolution. January 13, 2010 San Antonio is using these unique solar energy systems. | Photo courtesy CPS Energy San Antonio spurs increase in solar...

466

Solar forecasting review  

E-Print Network (OSTI)

2.1.2 European Solar Radiation Atlas (ESRA)for supplementing solar radiation network data, FinalEstimating incident solar radiation at the surface from geo-

Inman, Richard Headen

2012-01-01T23:59:59.000Z

467

Solar forecasting review  

E-Print Network (OSTI)

2.1.2 European Solar Radiation Atlas (ESRA)2.4 Evaluation of Solar Forecasting . . . . . . . . .2.4.1 Solar Variability . . . . . . . . . . . . .

Inman, Richard Headen

2012-01-01T23:59:59.000Z

468

Solar | Department of Energy  

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

Consumers Power, Inc. - Solar Energy System Rebate Consumers Power, Inc. (CPI) offers rebates to its residential customers who install solar water heating systems or solar...

469

Solar | Department of Energy  

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

City of Boulder established a solar sales and use tax rebate for photovoltaic (PV) and solar water heating installations. Solar system owners may receive a rebate (essentially a...

470

Solar powered desalination system  

E-Print Network (OSTI)

2008, uses concentrated solar power to split water. Figurethe main reason the potential for solar power is boundless.a clean energy source, solar power is inexhaustible, fairly

Mateo, Tiffany Alisa

2011-01-01T23:59:59.000Z

471

Solar paraphotons  

E-Print Network (OSTI)

I revisit the question of production of paraphotons, or hidden photons, in the Sun and suggest that a simultaneous observations of solar flares by conventional instruments and by axion helioscopes may provide a discovery channel for paraphotons.

Troitsky, Sergey V

2011-01-01T23:59:59.000Z

472

Solar Easements  

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

In Kentucky, solar easements may be obtained for the purpose of ensuring access to direct sunlight. Easements must be expressed in writing and will become an interest in real property that may be...

473

An assessment of the utility of GIS-based analysis to support the coordination of humanitarian assistance.  

E-Print Network (OSTI)

?? This dissertation investigated if Geographic Information Systems (GIS)-based analysis can have a decisive influence upon the coordination of international humanitarian assistance. Utility was assessed (more)

Verjee, Firoz

2008-01-01T23:59:59.000Z

474

Usability Evaluation of Web-based GIS Applications - A Comparative study of Google Maps and MapQuest.  

E-Print Network (OSTI)

??The use of geographical data is increasing in real world applications and due to this, Geographic information systems (GIS) are a growing interest area for (more)

Khan, Zulfiqar

2010-01-01T23:59:59.000Z

475

U.S. Regional Demand Forecasts Using NEMS and GIS  

SciTech Connect

The National Energy Modeling System (NEMS) is a multi-sector, integrated model of the U.S. energy system put out by the Department of Energy's Energy Information Administration. NEMS is used to produce the annual 20-year forecast of U.S. energy use aggregated to the nine-region census division level. The research objective was to disaggregate this regional energy forecast to the county level for select forecast years, for use in a more detailed and accurate regional analysis of energy usage across the U.S. The process of disaggregation using a geographic information system (GIS) was researched and a model was created utilizing available population forecasts and climate zone data. The model's primary purpose was to generate an energy demand forecast with greater spatial resolution than what is currently produced by NEMS, and to produce a flexible model that can be used repeatedly as an add-on to NEMS in which detailed analysis can be executed exogenously with results fed back into the NEMS data flow. The methods developed were then applied to the study data to obtain residential and commercial electricity demand forecasts. The model was subjected to comparative and statistical testing to assess predictive accuracy. Forecasts using this model were robust and accurate in slow-growing, temperate regions such as the Midwest and Mountain regions. Interestingly, however, the model performed with less accuracy in the Pacific and Northwest regions of the country where population growth was more active. In the future more refined methods will be necessary to improve the accuracy of these forecasts. The disaggregation method was written into a flexible tool within the ArcGIS environment which enables the user to output the results in five year intervals over the period 2000-2025. In addition, the outputs of this tool were used to develop a time-series simulation showing the temporal changes in electricity forecasts in terms of absolute, per capita, and density of demand.

Cohen, Jesse A.; Edwards, Jennifer L.; Marnay, Chris

2005-07-01T23:59:59.000Z

476

CALIFORNIA SOLAR DATA MANUAL  

E-Print Network (OSTI)

Constant Solar Noon Solar Time Sun Cha rt Sunshine Hours Seeof people and sun creates a high potential for solar energyposition of the sun, The relationship between solar time and

Berdahl, P.

2010-01-01T23:59:59.000Z

477

CALIFORNIA SOLAR DATA MANUAL  

E-Print Network (OSTI)

Radiation in Canada. Solar Energy ~, p.153. Threlkeld, J.L.pool. As the use of solar energy becomes more widespread,a high potential for solar energy use. Solar-heated swimming

Berdahl, P.

2010-01-01T23:59:59.000Z

478

CALIFORNIA SOLAR DATA MANUAL  

E-Print Network (OSTI)

Solar Information. . . . A. Solar Spectrum. . . . . . .measure a part of the solar spectrum, usually the red andin Fig. 1 shows the solar spectrum Q Ii! N til SEA-LEVEL

Berdahl, P.

2010-01-01T23:59:59.000Z

479

DOE Solar Decathlon: Solar Decathlon China  

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

China Logo of SD China. Solar Decathlon China is the most recent addition to the international family of Solar Decathlon competitions. Solar Decathlon China is the result of a...

480

Concentrating Solar Power  

DOE Green Energy (OSTI)

Summarizes the goals and activities of the DOE Solar Energy Technologies Program efforts within its concentrating solar power subprogram.

Not Available

2008-09-01T23:59:59.000Z

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


481

Mobile Solar Tracker Facility  

Science Conference Proceedings (OSTI)

Mobile Solar Tracker Facility. ... NIST's mobile solar tracking facility is used to characterize the electrical performance of photovoltaic panels. ...

2011-11-15T23:59:59.000Z

482

Solar forecasting review  

E-Print Network (OSTI)

ASME Journal of Solar Energy Engineering (in press), 2012. [ASME Journal of Solar Energy Engineering (in press), 2012. [

Inman, Richard Headen

2012-01-01T23:59:59.000Z

483

Solar ADEPT: Efficient Solar Energy Systems  

DOE Green Energy (OSTI)

Solar ADEPT Project: The 7 projects that make up ARPA-E's Solar ADEPT program, short for 'Solar Agile Delivery of Electrical Power Technology,' aim to improve the performance of photovoltaic (PV) solar energy systems, which convert the sun's rays into electricity. Solar ADEPT projects are integrating advanced electrical components into PV systems to make the process of converting solar energy to electricity more efficient.

None

2011-01-01T23:59:59.000Z

484

relative humidity | OpenEI  

Open Energy Info (EERE)

relative humidity relative humidity Dataset Summary Description (Abstract): Relative Humidity at 10 m Above The Surface Of The Earth (%)NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Nov 2007)22-year Monthly & Annual Average (July 1983 - June 2005)Parameter: Relative Humidity at 10 m Above The Surface Of The Earth (%)Internet: http://eosweb.larc.nasa.gov/sse/Note 1: SSE Methodology & Accuracy sections onlineNote 2: Lat/Lon values indicate the lower left corner of a 1x1 degree region. Negative values are south and west; Source U.S. National Aeronautics and Space Administration (NASA), Surface meteorology and Solar Energy (SSE) Date Released March 31st, 2009 (5 years ago) Date Updated Unknown Keywords climate GIS NASA relative humidity SWERA UNEP

485

UNEP | OpenEI  

Open Energy Info (EERE)

UNEP UNEP Dataset Summary Description Developed by NREL and the U.S. Trade and Development Agency, this geographic toolkit that allows users to relate the renewable energy resource (solar and wind) data to other geographic data, such as land use, protected areas, elevation, etc. The GsT was completely redesigned and re-released in November 2010 to provide a more modern, easier-to-use interface with considerably faster analytical querying capabilities. The revised version of the Geospatial Toolkit for Turkey is available using the following link: http://www.nrel.gov/international/downloads/gst_turkey.exe Source GeoModel Date Released March 31st, 2009 (5 years ago) Date Updated July 06th, 2012 (2 years ago) Keywords DNI GeoModel GHI GIS GsT NREL solar SWERA TILT

486

TILT | OpenEI  

Open Energy Info (EERE)

TILT TILT Dataset Summary Description Developed by NREL and the U.S. Trade and Development Agency, this geographic toolkit that allows users to relate the renewable energy resource (solar and wind) data to other geographic data, such as land use, protected areas, elevation, etc. The GsT was completely redesigned and re-released in November 2010 to provide a more modern, easier-to-use interface with considerably faster analytical querying capabilities. The revised version of the Geospatial Toolkit for Turkey is available using the following link: http://www.nrel.gov/international/downloads/gst_turkey.exe Source GeoModel Date Released March 31st, 2009 (5 years ago) Date Updated July 06th, 2012 (2 years ago) Keywords DNI GeoModel GHI GIS GsT NREL solar SWERA TILT

487

atmoshperic water vapor | OpenEI  

Open Energy Info (EERE)

atmoshperic water vapor atmoshperic water vapor Dataset Summary Description (Abstract): Monthly Average Solar Resource for flat-plate collectors tilted at latitude for China. Source NREL Date Released April 12th, 2005 (9 years ago) Date Updated October 30th, 2007 (7 years ago) Keywords atmoshperic water vapor China GEF GIS NREL solar SWERA TILT UNEP Data application/zip icon Download Shapefile (zip, 625.6 KiB) text/csv icon Download Data (csv, 704.1 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 01/01/1985 - 12/31/1991 License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote Ease of access

488

annual average heating degree days | OpenEI  

Open Energy Info (EERE)

average heating degree days average heating degree days Dataset Summary Description (Abstract): Heating Degree Days below 18° C (degree days)The monthly accumulation of degrees when the daily mean temperature is below 18° C.NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Nov 2007)22-year Monthly Average & Annual Sum (July 1983 - June 2005)Parameter: Heating Degree Days Below 18 degrees C (degree days)Internet: http://eosweb.larc.nasa.gov/sse/ Source U.S. National Aeronautics and Space Administration (NASA), Surface meteorology and Solar Energy (SSE) Date Released March 31st, 2009 (5 years ago) Date Updated April 01st, 2009 (5 years ago) Keywords annual average heating degree days climate GIS NASA SWERA UNEP Data application/zip icon Download Shapefile (zip, 2.7 MiB)

489

GeoModel | OpenEI  

Open Energy Info (EERE)

GeoModel GeoModel Dataset Summary Description Developed by NREL and the U.S. Trade and Development Agency, this geographic toolkit that allows users to relate the renewable energy resource (solar and wind) data to other geographic data, such as land use, protected areas, elevation, etc. The GsT was completely redesigned and re-released in November 2010 to provide a more modern, easier-to-use interface with considerably faster analytical querying capabilities. The revised version of the Geospatial Toolkit for Turkey is available using the following link: http://www.nrel.gov/international/downloads/gst_turkey.exe Source GeoModel Date Released March 31st, 2009 (5 years ago) Date Updated July 06th, 2012 (2 years ago) Keywords DNI GeoModel GHI GIS GsT NREL solar SWERA

490

afghanistan | OpenEI  

Open Energy Info (EERE)

afghanistan afghanistan Dataset Summary Description (Abstract): This web site contains high-resolution wind and solar resource maps and data for Afghanistan.> (Purpose): The products contained on this web site were developed by the U.S. National Renewable Energy Laboratory (NREL) for the U.S. Agency for International Development's (USAID) South Asia Regional Initiative for Energy Cooperation (SARI/E). Source NREL Date Released December 26th, 2007 (6 years ago) Date Updated December 26th, 2007 (6 years ago) Keywords afghanistan GIS NREL solar SWERA USAID wind Data Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2007 License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset

491

DNI | OpenEI  

Open Energy Info (EERE)

DNI DNI Dataset Summary Description Developed by NREL and the U.S. Trade and Development Agency, this geographic toolkit that allows users to relate the renewable energy resource (solar and wind) data to other geographic data, such as land use, protected areas, elevation, etc. The GsT was completely redesigned and re-released in November 2010 to provide a more modern, easier-to-use interface with considerably faster analytical querying capabilities. The revised version of the Geospatial Toolkit for Turkey is available using the following link: http://www.nrel.gov/international/downloads/gst_turkey.exe Source GeoModel Date Released March 31st, 2009 (5 years ago) Date Updated July 06th, 2012 (2 years ago) Keywords DNI GeoModel GHI GIS GsT NREL solar SWERA TILT Turkey

492

GHI | OpenEI  

Open Energy Info (EERE)

GHI GHI Dataset Summary Description Developed by NREL and the U.S. Trade and Development Agency, this geographic toolkit that allows users to relate the renewable energy resource (solar and wind) data to other geographic data, such as land use, protected areas, elevation, etc. The GsT was completely redesigned and re-released in November 2010 to provide a more modern, easier-to-use interface with considerably faster analytical querying capabilities. The revised version of the Geospatial Toolkit for Turkey is available using the following link: http://www.nrel.gov/international/downloads/gst_turkey.exe Source GeoModel Date Released March 31st, 2009 (5 years ago) Date Updated July 06th, 2012 (2 years ago) Keywords DNI GeoModel GHI GIS GsT NREL solar SWERA TILT Turkey

493

Turkey | OpenEI  

Open Energy Info (EERE)

Turkey Turkey Dataset Summary Description Developed by NREL and the U.S. Trade and Development Agency, this geographic toolkit that allows users to relate the renewable energy resource (solar and wind) data to other geographic data, such as land use, protected areas, elevation, etc. The GsT was completely redesigned and re-released in November 2010 to provide a more modern, easier-to-use interface with considerably faster analytical querying capabilities. The revised version of the Geospatial Toolkit for Turkey is available using the following link: http://www.nrel.gov/international/downloads/gst_turkey.exe Source GeoModel Date Released March 31st, 2009 (5 years ago) Date Updated July 06th, 2012 (2 years ago) Keywords DNI GeoModel GHI GIS GsT NREL solar SWERA TILT

494

Ethiopia | OpenEI  

Open Energy Info (EERE)

Ethiopia Ethiopia Dataset Summary Description (Abstract): Solar and wind energy resources in Ethiopia have not been given due attention in the past. Some of the primary reasons for under consideration of these resources are lack of awareness of their potential in the country, the role they can have in the overall energy mix and the social benefits associated with them. Source Ethiopian Rural Energy Development & Promotion Center Date Released October 31st, 2007 (7 years ago) Date Updated April 25th, 2008 (6 years ago) Keywords documentation Ethiopia GIS solar SWERA UNEP wind Data application/pdf icon Download Report (pdf, 1.6 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2007 License License Open Data Commons Public Domain Dedication and Licence (PDDL)

495

Knowledge-based modeling using GIS: nonpoint source pollution application  

E-Print Network (OSTI)

The concept of visualization in hydrologic modeling is discussed. A concept for integrating a knowledge-based system for analyzing simulation results is introduced. Visualization and expert, computer-based analysis when combined together produces a powerful tool for spatial data analysis and decision support. An application of such an integrated system in the context of nonpoint source (NPS) pollution control has been discussed to demonstrate these concepts. After a simulated implementation of the BMP recommendations, about 40 percent of the reduction in the area contributing above threshold limits (5 t/ac/yr) while 60 percent reduction in terms of volume of soil was observed over the watershed, for given rainfall conditions. The system provides an unique opportunity to evaluate and visualize the effects of alternative management practices used for erosion control. It was found that with appropriate land management, about at least a 40 percent reduction in the area exceeding the threshold can be obtained for rainfall ranging from 0.5 to 5 inches. A methodology for addressing nutrient management has been developed as well. Although the domain specific nature of the system limits the alternatives assessed, the system addresses the need for GIS based data analysis and interpretation, and also generates an optimum best management practices (BMPS) map for NPS pollution control.

Mohite, Mahendra P.

1993-01-01T23:59:59.000Z

496

CUTTING SOLAR RED TAPECUTTING SOLAR RED TAPE Evergreen State Solar PartnershipEvergreen State Solar Partnership  

E-Print Network (OSTI)

CUTTING SOLAR RED TAPECUTTING SOLAR RED TAPE Evergreen State Solar PartnershipEvergreen State Solar Partnership Rooftop Solar Challenge 1 Sunshot #12;WASHINGTON PV CONTEXTWASHINGTON PV CONTEXT 285 cities, 39 Installations happen where process is easier #12;EVERGREEN STATE SOLAR PARTNERSHIP Commerce NWSEEDEdmonds

497

Solar Energy Technologies Program: Solar Multimedia  

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

Energy Efficiency and Renewable Energy Energy Efficiency and Renewable Energy EERE Home Programs & Offices Consumer Information Solar Multimedia search Home EERE » SunShot Initiative » Solar Multimedia Printable Version Bookmark and Share Feature Photo of 3 solar dishes, which have reflective, square-shaped material that creates a mirror image of the sky and clouds. Each dish is anchored to the ground by a vertical pole. Solar Dish - Albuquerque, New Mexico Credit: Sandia National Laboratories/Randy Montoya Solar Technologies Photovoltaics Photovoltaics Concentrating Solar Power Concentrating Solar Power Solar Applications Residential Residential Commercial Commercial Large Installations Large Installations City and County City and County Federal Federal Manufacturing Manufacturing Development and Testing

498

Solar Energy Systems - Research - Biomimetic Solar Fuels  

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

using renewable resources such as sunlight. They also offer an enticing way to store solar energy in a very compact form. Challenges in solar fuels production lie in...

499

Solar Easements & Local Option Solar Rights Laws  

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

Utah's solar easement provisions are similar to easement provisions in many other states. Parties may voluntarily enter into written solar easement contracts that are enforceable by law. An...

500

Solar Energy: What's next for Solar Technology  

Solar Energy: Whats next for Solar Technology John P. Benner Group Leader, Electronic Materials and Devices. National Center for Photovoltaics. National Renewable ...