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We encourage you to perform a real-time search of NLEBeta
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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.

5

Brazilian Atlas for Solar Energy Resource: Swera Results  

Science Journals Connector (OSTI)

The solar energy assessment in SWERA project was prepared by using BRASIL-SR radiative transfer model and satellite database acquired from 1995 till 2005 — a full decade dataset. The annual and seasonal maps p...

Fernando Ramos Martins; Enio Bueno Pereira…

2009-01-01T23:59:59.000Z

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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.

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/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

9

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

10

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 [Office of Scientific and Technical Information (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.

12

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

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.

15

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: CaicĂł (located in the Northeast of Brazil), FlorianĂłpolis (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

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

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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

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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.

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-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.

22

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.

23

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

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

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: CaicĂł (located in the Northeast of Brazil), FlorianĂłpolis (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: CaicĂł (located in the Northeast of Brazil), FlorianĂłpolis (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

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

28

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 fĂĽr 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)

29

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 fĂĽr 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)

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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 fĂĽr 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)

31

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 fĂĽr 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)

32

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 fĂĽr 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)

33

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 fĂĽr 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)

34

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 fĂĽr 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)

35

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 fĂĽr 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)

36

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 fĂĽr 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)

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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 fĂĽr 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)

38

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 fĂĽr 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)

39

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

40

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

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

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

42

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

43

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

44

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

45

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

46

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

47

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

48

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

49

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

50

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

51

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

52

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

53

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

54

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

55

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

56

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

57

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

58

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

59

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

60

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)

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

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

62

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

63

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

64

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

65

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

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

For more PV resource maps, access the MapSearch site. For Geographic Information System (GIS) solar resource data, access the Data Resources page. For interactive maps and tools...

66

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 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

68

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

69

SWERA: In the Case of Renewable Energy, Knowledge IS Power -...  

Open Energy Info (EERE)

UNEP SWERA: In the Case of ... Dataset Activity Stream SWERA: In the Case of Renewable Energy, Knowledge IS Power (Abstract): Information document including preliminary impact in...

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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

71

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

72

INTEGRATION OF HELIOCLIM-1 DATABASE INTO PV-GIS TO ESTIMATE SOLAR ELECTRICITY POTENTIAL IN AFRICA  

E-Print Network [OSTI]

INTEGRATION OF HELIOCLIM-1 DATABASE INTO PV-GIS TO ESTIMATE SOLAR ELECTRICITY POTENTIAL IN AFRICA T, the proper configuration of a PV system depends on the knowledge of solar resource, which, although generally service. The PV-GIS approach makes it possible to enhance the spatial resolution of the solar radiation

Paris-Sud XI, Université de

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Solar Radiation Resources Applications in Agriculture Based on GIS in Ningxia YanChi  

Science Journals Connector (OSTI)

In order to exploit solar energy resources, and improve agricultural production and, this paper make a analyses and calculation about the distribution of direct solar radiation in in Yanchi country of Ningxia by using the geographic information system(ViewGIS3.0). ... Keywords: direct solar radiation, agricultural meteorological, GIS, distribution pattern, YanChi

Wang ZhenHua; Yang JianYing

2011-03-01T23:59:59.000Z

74

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.

75

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

76

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.

77

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.

78

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 fĂĽr 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)

79

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 fĂĽr 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)

80

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

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

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

84

Solar electricity prospects in Oman using GIS-based solar radiation maps  

Science Journals Connector (OSTI)

This paper discusses solar power prospects in Oman. First, the geographic and topographic information about Oman are presented. The methodology of producing solar radiation maps using GIS tools is then discussed. The results obtained show very high potential of solar radiation over all the lands of Oman during the whole year. A slope analysis has allowed calculating the yearly electricity generation potential for different Concentrated Solar Power (CSP) technologies such as the parabolic trough, parabolic dish, tower, and concentrated PV. For instance if only 10% of the land of Oman with a slope less than 1% is considered an exploitable land for the parabolic trough CSP technology, then the total calculated potential of yearly electricity generation would be about 7.6 million GWh, which is many multiples of (680 times) the current generation supply in Oman which was about 11,189 GWh in 2007.

Adel Gastli; Yassine Charabi

2010-01-01T23:59:59.000Z

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 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

87

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

88

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

Open Energy Info (EERE)

Facebook icon Twitter icon Home Organizations DLR - Deutsches Zentrum fr ... Solar: monthly and annual ... Dataset Activity Stream Solar: monthly and annual average...

89

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)

90

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

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

92

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.

93

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.

94

A GIS Tool for the Land Carrying Capacity of Large Solar Plants  

Science Journals Connector (OSTI)

Abstract A tool for the estimation of the land carrying capacity of large solar plants, such as ground-mounted PV plants or solar thermal plants, is developed in GIS environment. The scope is to verify to what extent the constraints that governments and authorities have imposed on the construction of new large ground-mounted soalr plants affect the future developments of PV. The tool is applied to a large study area of North-Italy and specifically to solar photovoltaic plants but the results can be easily generalized to include large solar thermal plants. The peculiarity of the tool development is that both qualitative and quantitative criteria are merged together in order to obtain the final indicator, and that the weight of the objective function are estimated by means of an ANN. The available area are very limited and strongly influenced by the normative qualitative criteria (restricted areas).

Enrico Borgogno Mondino; Enrico Fabrizio; Roberto Chiabrando

2014-01-01T23:59:59.000Z

95

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

96

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.

97

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

98

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.

99

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

100

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.

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

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.

102

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.

103

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

104

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

105

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

106

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

107

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

108

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

109

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

110

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

111

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

112

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

113

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

114

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

115

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

116

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

117

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

118

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

119

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

120

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.

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

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

122

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

123

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

124

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.

125

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

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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

126

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...

127

What is GIS? 2What Is GIS?  

E-Print Network [OSTI]

What is GIS? July 2012 #12;#12;2What Is GIS? 5 Why Geography Matters 6 The Power of GIS 7 The Geographic Approach 9 GIS in Action 9 Geography Matters Everywhere 10 Business 10 Banking and Financial Public Health Table of Contents #12;3What Is GIS? 30 Mapping and Charting 30 Aeronautical 31 Cartographic

Polly, David

128

GIS Analysis GIS 6116 -Spring 2015  

E-Print Network [OSTI]

GIS Analysis GIS 6116 - Spring 2015 School of Forest Resources and Conservation Geomatics Program _______________________________________________________________________________________ 1 GIS 6116 (GIS Analysis) INSTRUCTORS: Dr. Hartwig Henry Hochmair (FLREC Fort Lauderdale) Dr. Amr Information Analysis (2nd ed.). Hoboken, New Jersey, WIley & Sons. - Mitchell A (2005). The ESRI Guide to GIS

Watson, Craig A.

129

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.

130

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)

131

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

132

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)

133

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

134

Bruce Godfrey GIS Librarian  

E-Print Network [OSTI]

map and feature services #12; ArcGIS Online help · Full documentation Esri Virtual Campus Training Esri Maps for Office · Excel Publish service from ArcGIS Desktop #12;Bruce Godfrey GIS LibrarianBruce Godfrey GIS Librarian #12;A web-based collaborative platform hosted by Esri that allows users

O'Laughlin, Jay

135

GIS and Ethics Undergraduate  

E-Print Network [OSTI]

GIS and Ethics in the Undergraduate Classroom GIS and Ethics in the Undergraduate Classroom Sunday, April 18, 2010 #12;GIS and Ethics in the Undergraduate Classroom Presentation Overview · Encroachment of Ethics into Classroom · Relationship of GIS and Ethics · Student Perceptions of Ethics 2

Wright, Dawn Jeannine

136

GIS 390.001, GIS 390.021, GIS 390.022 Geographic Information System (GIS) in Natural Resources  

E-Print Network [OSTI]

1 GIS 390.001, GIS 390.021, GIS 390.022 Geographic Information System (GIS) in Natural Resources Information Systems (GIS), subsidized by Global Positioning Systems (GPS) and remote sensing, to problems in natural resource analysis. Course corequisite required GIS 390L. Prerequisite course required GIS 224

Hung, I-Kuai

137

GIS 390.001, GIS 390.020, GIS 390.021 Geographic Information System (GIS) in Natural Resources  

E-Print Network [OSTI]

1 GIS 390.001, GIS 390.020, GIS 390.021 Geographic Information System (GIS) in Natural Resources (GIS), subsidized by Global Positioning Systems (GPS) and remote sensing, to problems in natural resource analysis. Course corequisite required GIS 390L. Prerequisite course required GIS 224. Program

Hung, I-Kuai

138

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

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

GIS Mailing List The Geographic Information System (GIS) at NREL update will periodically highlight the latest GIS activities in renewable energy and energy efficiency technologies...

139

GIS 425.001/525.001 Mobile and Field GIS  

E-Print Network [OSTI]

1 GIS 425.001/525.001 Mobile and Field GIS May 2012 Instructor: Dr. I-Kuai Hung Email: hungi://www.faculty.sfasu.edu/hungikua Course Description: GIS 425/525 Mobile and Field GIS. Three semester hours. GIS data management with focus on building geodatabase and field mapping and inventory using mobile GPS/GIS devices. Students

Hung, I-Kuai

140

NREL: Internal NREL GIS Newsletter - Summer Edition  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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!

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

GIS 553.001, GIS 553.020 Geographic Information System (GIS) and Geospatial Applications  

E-Print Network [OSTI]

1 GIS 553.001, GIS 553.020 Geographic Information System (GIS) and Geospatial Applications Spring Description: GIS 553 GIS and Geospatial Applications. 3 semester hours, 2 hours lecture and 3 hours lab per week. Application of GIS technology to building and maintaining data bases and analyzing spatial

Hung, I-Kuai

142

GIS SPECIALIST Department: Engineering  

E-Print Network [OSTI]

GIS SPECIALIST Department: Engineering Salary: $34,847 - $52,274 SUMMARY: Under general supervision of the Utility's Geographic Information System (GIS). The incumbent oversees various types of files, updates media. Position is responsible for assuring that the Utility's GIS system is accurate, reliable

Mazzotti, Frank

143

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

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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

144

GIS DEVELOPMENT GUIDE Table of Contents  

E-Print Network [OSTI]

GIS DEVELOPMENT GUIDE Volume II Table of Contents SURVEY OF AVAILABLE DATA Introduction ...................................................................................13 EVALUATING GIS HARDWARE AND SOFTWARE Introduction ...................................................................................14 Sources of Information About GIS......................................................14 GIS

Ghelli, Giorgio

145

GIS 425.001/525.001 Mobile and Field GIS  

E-Print Network [OSTI]

1 GIS 425.001/525.001 Mobile and Field GIS May 2014 Instructor: Dr. I-Kuai Hung Email: hungi, Forestry 108 Website: http://www.faculty.sfasu.edu/hungikua Course Description: GIS 425 Mobile and Field GIS. Three semester hours. GIS data management with focus on building geodatabase and field mapping

Hung, I-Kuai

146

The GIS Manual 1 The Integration of Internet GIS  

E-Print Network [OSTI]

The GIS Manual 1 CHAPTER 48 The Integration of Internet GIS and Wireless Mobile GIS Ming, centralized GIS architecture, to an open, distributed geographic information services (GIServices) framework. With advances in computer networking and wireless communication technology, GIS is moving toward an integration

Tsou, Ming-Hsiang

147

GIS Programming and Customization GIS 6103 -Fall 2014  

E-Print Network [OSTI]

GIS Programming and Customization GIS 6103 - Fall 2014 School of Forest Resources & Conservation _________________________________________________________________________________________ 1 GIS 6103 - GIS Programming and Customization INSTRUCTOR: Dr. Hartwig Henry HOCHMAIR Assistant conference meeting. REQUIRED READINGS: - Amirian, P. (2013). Beginning ArcGIS for Desktop Development using

Watson, Craig A.

148

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

149

GIS Fundamentals: Supplementary Lessons with ArcGIS Introduction to ArcGIS Lesson 1: Introduction to ArcGIS  

E-Print Network [OSTI]

GIS Fundamentals: Supplementary Lessons with ArcGIS Introduction to ArcGIS 1 Lesson 1: Introduction to ArcGIS What You'll Learn: -Start ArcMap -Create a new map -Add data layers -Pan and zoom -Change data errors. Background: This is the first in a series of introductory exercises for ArcGIS

Harbor, David

150

Introduction To GIS Course Syllabus Introduction to GIS NRC585  

E-Print Network [OSTI]

- 1 ­ Introduction To GIS Course Syllabus Introduction to GIS ­ NRC585 Lecture: Tues. 11 Hours: by appointment Email: bbradley@eco.umass.edu Email: efusco@cns.umass.edu Website: http://people.umass.edu/bethanyb/gis.html Course Objective: To provide an understanding of the basic concepts and uses of GIS technology

Schweik, Charles M.

151

GIS Applications toGIS Applications to Environmental Analysis  

E-Print Network [OSTI]

GIS Applications toGIS Applications to Environmental Analysis Beyond MappingBeyond Mapping inin of Oklahoma #12;2 Joseph Berry's book 1996Joseph Berry's book 1996 #12;3 NWS Survey on GIS ApplicationsNWS Survey on GIS Applications ·· A summary by Roger ShriverA summary by Roger Shriver ·· 25 NWS and RFC

152

Chapter 9 GIS Data Collection 117 GIS Data Collection  

E-Print Network [OSTI]

Chapter 9 GIS Data Collection 117 GIS Data Collection OVERVIEW This chapter reviews the main methods of GIS data capture and transfer and introduces key practical management issues. It distinguishes, OCR 9 #12;Chapter 9 GIS Data Collection 118 OUTLINE 9.1 Introduction 9.2 Primary geographic data

Wright, Dawn Jeannine

153

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

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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

154

GIS Mapping Technician Prince George  

E-Print Network [OSTI]

GIS Mapping Technician Prince George Salary $48,942.48 - $55,662.83 annually An excellent opportunity to apply your GIS mapping expertise BCTS was established in 2003 to offer fibre to the market Northern GIS Service Centre, a collaborative model where GIS resources are shared between four Business

Northern British Columbia, University of

155

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)

156

Solar  

Science Journals Connector (OSTI)

With sharp drop in costs for photovoltaic and solar thermal processes, solar energy has become more attractive alternative ... Almost half the total was earmarked for PV and solar thermal projects. ...

WARD WORTHY

1991-06-17T23:59:59.000Z

157

GIS TRANSFORMATIONS Conference Presentation  

E-Print Network [OSTI]

GIS TRANSFORMATIONS Conference Presentation Waldo Tobler Geography Department University, line, area, or field phenomena, then the sixteen common classes of transformation are: point -> point (scalar, vector, tensor) data, to obtain eighty distinct possible classes of transformation. The common

Tobler, Waldo

158

Feminism, Maps and GIS  

Science Journals Connector (OSTI)

Until recently, there was not much connection between feminism and cartography or GIS (geographic information science and/or system) but today they are increasingly intertwined. The meaning and purpose of mapping have significantly changed in recent decades due to several reasons. For example, the mapping process has become computerized, virtually all spatial information is now digital, and GIS has emerged as essential when working with spatial data. At the same time, women have increased their visibility and presence in science and technologies. Feminist scholarship, too, has made a profound impact on social science and geography and has come to inform and influence the fields of cartography and GIS. This article discusses the changing relationship of cartography and GIS and presents major feminist critiques of these fields. After examining the undervalued contribution of women to both cartography and GIS, the article focuses on an ongoing engagement of feminism with GIS and practices of mapping. This engagement includes reclaiming the power of vision, creating a range of feminist cartographies, and the broader impacts of geospatial technologies on women's daily lives.

M. Pavlovskaya

2009-01-01T23:59:59.000Z

159

GIS data | OpenEI Community  

Open Energy Info (EERE)

GIS data Home NickL's picture Submitted by NickL(107) Contributor 25 June, 2012 - 22:45 GIS keyword geospatial data GIS GIS data Explore the geospatial datasets in OpenEI's...

160

GIS 551.001, GIS 551.020 Introduction to Geographic Information System (GIS) and Geospatial Analysis  

E-Print Network [OSTI]

1 GIS 551.001, GIS 551.020 Introduction to Geographic Information System (GIS) and Geospatial per week. Expanded examination of GIS theory, concepts, technology, and application. Course UcorequisiteU required GIS 551L. Program Learning Outcomes: Geographic Information System (GIS) is a computer

Hung, I-Kuai

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 551.001, GIS 551.021, GIS 551.022 Introduction to Geographic Information System (GIS) and Geospatial Analysis  

E-Print Network [OSTI]

1 GIS 551.001, GIS 551.021, GIS 551.022 Introduction to Geographic Information System (GIS semester hours, 2 hours lecture and 3 hours lab per week. Expanded examination of GIS theory, concepts, technology, and application. Course UcorequisiteU required GIS 551L. Program Learning Outcomes: Geographic

Hung, I-Kuai

162

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)

163

PV Analyst: Coupling ArcGIS with TRNSYS to assess distributed photovoltaic potential in urban areas  

Science Journals Connector (OSTI)

This study presents a means to extend the functionality of Geographic Information Systems (GIS) in assessing distributed photovoltaic (PV) potential in urban areas, via the new ArcGIS extension: PV Analyst. A methodology is proposed for coupling ArcGIS with TRNSYS that enables the PV Analyst extension to use the capabilities of 4 and 5-parameter PV array performance models and the irradiance components in TRNSYS for solar energy simulations in geospatial contexts. Because PV Analyst is embedded within the ArcMap environment, part of ArcGIS software package, the strong capabilities of ArcGIS and other ArcGIS extensions such as 3D Analyst, Spatial Analyst and Tracking Analyst can be fully utilized with PV Analyst’s functionalities. This paper describes the concept and details of the extension development, as well as its application to the Pollock Commons area at the Pennsylvania State University.

Yosoon Choi; Jeffrey Rayl; Charith Tammineedi; Jeffrey R.S. Brownson

2011-01-01T23:59:59.000Z

164

GIS for All: Exploring the Barriers and Opportunities for Underexploited GIS Applications GIS for All: Exploring the Barriers and  

E-Print Network [OSTI]

GIS for All: Exploring the Barriers and Opportunities for Underexploited GIS Applications GIS for All: Exploring the Barriers and Opportunities for Underexploited GIS Applications by Hao Ye1 , Michael that adoption of GIS technologies still remains relatively low in many sectors. We will explore both the bar

Köbben, Barend

165

Graduate Certificate in Geographic Information Systems (GIS)  

E-Print Network [OSTI]

Graduate Certificate in Geographic Information Systems (GIS) Texas A&M University GIS technologies 651/BAEN 651 ­ Geographic Information Systems · GEOG 660 ­ Applications for GIS Intermediate Level (Both are required) 6 hours · ESSM 652/BAEN 652 ­ Advanced Topics in GIS · GEOG 665 ­ GIS ­ based

166

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

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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

167

Demystifying Web GIS  

E-Print Network [OSTI]

Business Analysis Internet or intranet Distance decay areasMarket penetrationDesire lines Ciblii li Fi di hi iiA kiCannibalizat on analysis n ng areas matc ng a criterionrea ran ng Demographic Site Markets and Customer Performance and Competitor data... characteristics and territories data and scales data data Business Analyst Online, (iOS & Web) Web GIS Profit 13 A new infrastructure for e-Science • cloud computing • unlimited database • collaboration platform Web services Web applications Cloud Servers...

Fu, Pinde

2010-11-18T23:59:59.000Z

168

Position Description: Remote Sensing/GIS Analyst  

E-Print Network [OSTI]

, gpx, etc. · Aptitude for creating publication quality maps using GIS software Position Description: Remote Sensing/GIS Analyst We are seeking a Remote Sensing/GIS Analyst to support our forest carbon project validation

Mazzotti, Frank

169

GIS by ESRITM Understanding Map Projections  

E-Print Network [OSTI]

GIS by ESRITM Understanding Map Projections Melita Kennedy and Steve Kopp #12;Copyright © 19942000 in the European Community. ArcInfo, ArcGIS, GIS by ESRI, and the ESRI Press logo are trademarks of Environmental

Ahmad, Sajjad

170

GIS | OpenEI Community  

Open Energy Info (EERE)

and let the community know what you've shared. Geospatial Description: Discuss and explore geospatial data available on OpenEI. geospatial GIS spatial analysis Syndicate content...

171

OpenEI Community - GIS  

Open Energy Info (EERE)

keyword http:en.openei.orgcommunitydiscussiongis-keyword

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

172

GIS as a research tool Melinda Laituri  

E-Print Network [OSTI]

1 GIS as a research tool Melinda Laituri Colorado State University Why use GIS? Spatial context? Organizational strengths of GIS for project management Ability to store large amounts of spatial data GIS plan Database design (linked to sampling strategy) Assessment of available resources Analysis

173

GIS at UCAR The evolution of  

E-Print Network [OSTI]

GIS at UCAR The evolution of NCAR's GIS Initiative Olga Wilhelmi ­ ESIG-NCAR Unidata Workshop 24 June, 2003 #12;Why GIS? More questions about various climatological, meteorological, hydrological and tools to access, extract, analyze, and disseminate the required data and information. GIS makes

174

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

175

Datasets - OpenEI Datasets  

Open Energy Info (EERE)

energy technologies in Nepal (Purpose): SWERA Documentation PDF NREL GIS Data: Global Offshore Wind GIS data for offshore wind speed (meterssecond). Specified to Exclusive...

176

WILDLIFE LOCATIONS AND GIS Kent Fricke and Kate Hasapes, GIS 551  

E-Print Network [OSTI]

WILDLIFE LOCATIONS AND GIS Kent Fricke and Kate Hasapes, GIS 551 #12;Wildlife Research In wildlife by Satellites and Stored in Collar #12;Locations and GIS Plot Location Points onto Habitat Map of Study Area

Hung, I-Kuai

177

DAV: EERE's GIS Resource  

Broader source: Energy.gov (indexed) [DOE]

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

GIS as an educational tool  

E-Print Network [OSTI]

learning. Exposing students to GIS and its related technologies gives them the opportunity to enrich their minds while learning existing curriculum concepts. Kindergarten through twelfth grade (K-1 2) is one arena that has been virtually excluded from...

Winn, Jennifer P.

1997-01-01T23:59:59.000Z

179

GIS in Human Health Studies  

Science Journals Connector (OSTI)

Elucidating the causes of fluorosis in the People’s Republic of China offers another example of how GIS can be used to address the relationship ... to fumes from residential combustion of high-fluorine coal or br...

Joseph E. Bunnell; Alexander W. Karlsen…

2013-01-01T23:59:59.000Z

180

eGIS Portal PIA, Bonneville Power Administration | Department...  

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

eGIS Portal PIA, Bonneville Power Administration eGIS Portal PIA, Bonneville Power Administration eGIS Portal PIA, Bonneville Power Administration eGIS Portal PIA, Bonneville Power...

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

Virtual Seminar in Geographic Information Science: Public Participation GIS  

E-Print Network [OSTI]

1 GEO 599 Virtual Seminar in Geographic Information Science: Public Participation GIS Fall 2007: Are you interested in community-based GIS, GIS for citizen involvement, conservation GIS with non-governmental organizations (NGOs) and citizen groups? Grassroots GIS? Issues of empowerment and marginalization where GIS

Wright, Dawn Jeannine

182

COMP 198 Spatial Reasoning and GIS Spring 2012 COMP 198 Spatial Reasoning and GIS  

E-Print Network [OSTI]

COMP 198 Spatial Reasoning and GIS Spring 2012 COMP 198 Spatial Reasoning and GIS MWF Lecture/Lab Mars Science 3100 (GIS Lab) 11:30-12:20 Who: Michael Gousie Where: Science Center 1325 When: Mon, Wed 1. But how do all these technologies work? They are all versions of a GIS. A Geographic Information System

Gousie, Michael B.

183

COMP 198 Spatial Reasoning and GIS Spring 2012 Project GIS 1  

E-Print Network [OSTI]

COMP 198 Spatial Reasoning and GIS Spring 2012 Project GIS 1 Due Date: February 16 Purpose The objective of this project is to start you off exploring maps and features in a GIS. You will use Google) as you're going along. 1. In Google Earth, create a new folder called lastNameGIS1 under My Places

Gousie, Michael B.

184

COMP 198 Spatial Reasoning and GIS Spring 2012 Project GIS 3  

E-Print Network [OSTI]

COMP 198 Spatial Reasoning and GIS Spring 2012 Project GIS 3 Due Date: March 22 Purpose with custom features, including your own notes, markings, etc. that make it easy for a non-GIS expert-formatted, using Word or other word processing software. Name your report yourLastNameGIS3.docx. · Save all of your

Gousie, Michael B.

185

COMP 198 Spatial Reasoning and GIS Spring 2012 Project GIS 2  

E-Print Network [OSTI]

COMP 198 Spatial Reasoning and GIS Spring 2012 Project GIS 2 Due Date: March 1 Purpose;COMP 198 Spatial Reasoning and GIS Spring 2012 6. What is the largest area landmark? 7. What military installation? · Save all of your maps in a file called yourLastNameGIS2.mxd. Submitting Email your

Gousie, Michael B.

186

EcoGIS GIS Tools for Ecosystem Approaches to Fisheries Management  

E-Print Network [OSTI]

EcoGIS ďż˝ GIS Tools for Ecosystem Approaches to Fisheries Management May 2009 NOAA Technical Memorandum NOS NCCOS 75 #12;Recommended Citation Nelson, D.M., T. Haverland, and E. Finnen. 2009. EcoGIS ďż˝ GIS Tools for Ecosystem Approaches to Fisheries Management. NOAA Technical Memorandum NOS NCCOS 75. 38

187

Ethics and GIS: The Practitioner's Dilemma a position paper on GIS ethics by  

E-Print Network [OSTI]

Ethics and GIS: The Practitioner's Dilemma a position paper on GIS ethics by Michael Blakemore1 and Roger Longhorn2 prepared for the AGI 2004 Conference Workshop on "GIS Ethics" to be held 14 October 2004://www.gsdiassociation.org and go to the Discussions List menu #12;Ethics and GIS: The Practitioner's Dilemma Table of Contents

Wright, Dawn Jeannine

188

COMP 198 Spatial Reasoning and GIS Spring 2012 Project GIS 4  

E-Print Network [OSTI]

COMP 198 Spatial Reasoning and GIS Spring 2012 Project GIS 4 Due Date: April 15 Purpose comes from the Massachusetts GIS site: http://www.mass.gov/mgis/download.htm You will download whatever not be relocated. #12;COMP 198 Spatial Reasoning and GIS Spring 2012 · The mall can not be built in protected areas

Gousie, Michael B.

189

GIS Day(s) Palooza Extravaganza 2013  

E-Print Network [OSTI]

A summary of the Texas A & M University GIS Day 2013 outreach and instruction events, presented to TAMU Libraries staff....

Weimer, Kathy

2014-10-22T23:59:59.000Z

190

The Ethics of GIS Jeremy Crampton  

E-Print Network [OSTI]

The Ethics of GIS Jeremy Crampton ABSTRACT: There has so far been little discussion of the ethics argues for an ethical analysis of GIS which goes beyond "intemalist" judgements of good behavior of information can GIS practice by fully analyzed. A four-stage sequence of ethical practice is pro- posed

Wright, Dawn Jeannine

191

Fagatele Bay National Marine Sanctuary GIS Capacity  

E-Print Network [OSTI]

Report, configuration notes American Samoa Spatial Data Infrastructure Maps GIS Data CDs Operating System, a number of issues regarding map projections and datums were resolved allowing GIS users to processFagatele Bay National Marine Sanctuary GIS Capacity Binder Index Background 2 Hardware, Software

Wright, Dawn Jeannine

192

GIS, SPATIAL STATISTICAL GRAPHICS, AND FOREST HEALTH.  

E-Print Network [OSTI]

1 GIS, SPATIAL STATISTICAL GRAPHICS, AND FOREST HEALTH. James J. Majure, Noel Cressie, Dianne Cook, and JĂĽrgen Symanzik ABSTRACT This paper discusses the use of a geographic information systems (GIS), Arcview, into a geographic information system (GIS), Arcview 2.1 (ESRI 1995), and its use in the statistical analysis of spa

Symanzik, JĂĽrgen

193

GIS Fundamentals SUR 6934-FALL 2013  

E-Print Network [OSTI]

GIS Fundamentals SUR 6934- FALL 2013 School of Forest Resources and ConservationGulf Coast Research _________________________________________________________________________________ GIS Fundamentals Description: This course introduces geographic information systems to Geomatics practical skills needed in many applications. Students learn basic GIS data modeling and managing concepts

Watson, Craig A.

194

Control GIS and geo-information modelling  

Science Journals Connector (OSTI)

The contribution deals with the contextual design of spatial-temporal data, distinguishes three GIS level for the purposes of the regional development, land management and government and describes the role of the GIS Web services architecture that makes ... Keywords: control GIS, geo-information modelling, spatial decision support, spatial temporal approach, uncertainty

Dana Klimešová

2006-03-01T23:59:59.000Z

195

GIS and Geospatial applications Assignment 7  

E-Print Network [OSTI]

GIS and Geospatial applications Assignment 7 Point Pattern Analysis By: Leigh Stuemke Presented to: Dr. I-Kuai Hung In Partial Fulfillment of the requirements for GIS 553 STEPHEN F. AUSTIN STATE Analysis allows GIS users to infer spatial relationships among their datasets using both visual

Hung, I-Kuai

196

SF STATE Extended Learning INFORMATION SYSTEMS (GIS)  

E-Print Network [OSTI]

SF STATE Extended Learning 2013/2014 GEOGRAPHIC INFORMATION SYSTEMS (GIS) at San Francisco State University Jerry Davis, Director | Seth Hiatt, Associate Director (415) 338-3566, email igisc@sfsu.edu, www.cel.sfsu.edu/gis/ Also offering a new certificate: GIS Certificate in Environmental Analysis The use of geographic

197

GIS Ethics Panel Preparation Panel Session  

E-Print Network [OSTI]

GIS Ethics Panel Preparation Panel Session: 3236 Geographic Information Ethics and GIScience II State University Geney Terry - GISCI Session Description: Ethical engagements with the multitude of GIS, the variety of applications of GIS&T has led the U.S. Department of Labor to highlight "geographic technology

Wright, Dawn Jeannine

198

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

199

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"

200

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"

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

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"

202

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

203

Onsrud, H.J., Evidence Generated from GIS. GIS Law, 1(3): 1-9, 1992 Evidence Generated from GIS  

E-Print Network [OSTI]

Onsrud, H.J., Evidence Generated from GIS. GIS Law, 1(3): 1-9, 1992 Evidence Generated from GIS the admissibility of GIS evidence in court, let us assume four separate scenarios: Scenario 1: An environmental conservation group has used a GIS to track the existence and location of plant and animal species over

Onsrud, Harlan J.

204

UW-MADISON GEOGRAPHY DEPARTMENT: COMPARISON OF PROGRAM OFFERINGS IN GEOGRAPHIC INFORMATION SYSTEMS (GIS)  

E-Print Network [OSTI]

(GIS) MS CARTOGRAPHY/GIS CERTIFICATE IN GIS PROGRAM GOALS Conduct research in GIS (Studying GIS to develop new techniques in the field of GIS). Emphasis is on the development of new GIS tools or Application of GIS in academic settings. Apply GIS to geographic problems in a non- academic setting. Emphasis

Wisconsin at Madison, University of

205

Integrating GIS and FEATHERS: A Conceptual Design  

Science Journals Connector (OSTI)

Abstract This study proposes integrating GIS and FEATHERS in order to improve the capability of data management, spatial analysis and visualization in the model framework. GIS provides geodatabase for effectively storing and edit (non-)spatial data, useful functions of spatial analysis for defining spatial interactions between phenomena simulated by the modeling system, and interactive visualization tools. Thus, this study mainly focuses on three topics: i) why FEATHERS needs a GIS module, ii) how the GIS module is designed, and iii) what functions can be supported by the GIS module in the FEATHERS system. Moreover, we overview some transportation software adopting GIS to catch up a general trend in GIS and transportation and also suggest data schema for creating geodatabase and a source code for making map layers and map tools in python. At the end, we conclude this paper with summary and plan for the future work.

Sungjin Cho; Tom Bellemans; Davy Janssens; Geert Wets

2014-01-01T23:59:59.000Z

206

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

207

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

208

GIS IN SOIL & WATER SCIENCE On-Campus Section 8197  

E-Print Network [OSTI]

with and create GIS maps in ArcMap Access and query a GIS database Describe two common GIS data structures Change the coordinate system and map projection used to display a dataset Query and analyze GIS dataSWS 4720C GIS IN SOIL & WATER SCIENCE On-Campus Section 8197 Fall 2014 Instructor Wade Ross wader

Ma, Lena

209

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

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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

210

Solar and Wind Energy Resource Assessment Programme's Renewable...  

Open Energy Info (EERE)

& Screening Website: en.openei.orgappsSWERA Equivalent URI: cleanenergysolutions.orgcontentsolar-and-wind-energy-resource-assess Language: English Policies: Deployment...

211

GIS Rseau Amrique latine. Actes du 1er Congrs du GIS Amrique latine : Discours et  

E-Print Network [OSTI]

GIS Réseau Amérique latine. Actes du 1er Congrès du GIS Amérique latine : Discours et pratiques de 1 halshs-00151682,version1-5Jun2007 Author manuscript, published in "GIS Réseau Amérique latine. Actes du 1er Congrès du GIS Amérique latine : Discours et pratiques de pouvoirs en Amérique latine, de

Paris-Sud XI, Université de

212

GIS Rseau Amrique latine. Actes du 1er Congrs du GIS Amrique latine  

E-Print Network [OSTI]

GIS Réseau Amérique latine. Actes du 1er Congrès du GIS Amérique latine : Discours et pratiques de Congrès du GIS Amérique Latine, La Rochelle, France, le 04 novembre 2005. Projet de recherche, en cours de. Paris : PUF, 1982. halshs-00151090,version1-1Jun2007 Manuscrit auteur, publié dans "GIS Réseau Amérique

Paris-Sud XI, Université de

213

New Developments in GIS in Water Resources  

E-Print Network [OSTI]

NWIS ArcGIS Excel Academic Unidata NASA Storet NCDC Snotel Matlab Java Visual Basic Operational services CUAHSI Web Services Data Sources Applications Extract Transform Load http://www.cuahsi.org/his/ We are at a tipping point …. • Web pages • Web... Language (HTML) Water Markup Language (WaterML) GIS and Water Resources • WaterML – Water Data Language • Observations Data Model • Observations Data Layers • Harvesting water data in GIS CUAHSI Point Observation Data Services 1. Data Loading – Put data...

Maidment, David

2008-11-19T23:59:59.000Z

214

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

215

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

216

The GIS Certification Institute This Code of Ethics is intended to provide guidelines for GIS (geographic  

E-Print Network [OSTI]

1 of 6 The GIS Certification Institute This Code of Ethics is intended to provide guidelines for GIS (geographic information system) professionals. It should help professionals make appropriate. By heeding this code, GIS professionals will help to preserve and enhance public trust in the discipline

Wright, Dawn Jeannine

217

COMP 198 Spatial Reasoning and GIS Spring 2012 Project GIS 5  

E-Print Network [OSTI]

COMP 198 Spatial Reasoning and GIS Spring 2012 Project GIS 5 Due Date: May 4 Purpose This is more midnight on the due date. Be sure that all of the file names include your last name and GIS5. No need

Gousie, Michael B.

218

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.

219

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.

220

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.

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

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.

222

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.

223

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.

224

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.

225

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.

226

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.

227

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.

228

Activity Stream - Solar: monthly and annual average global horizontal...  

Open Energy Info (EERE)

global horizontal irradiance GIS data at one-degree resolution of the World from NASASSE 4 days ago Jay Huggins added the extra "catalog" to the dataset Solar: monthly and...

229

GIS and Digital Geospatial Data at TAMU Libraries - White Paper  

E-Print Network [OSTI]

1 GIS and Digital Geospatial Data at TAMU Libraries White Paper May 2005 Kathy Weimer Coordinator of Maps/GIS Background of GIS in Libraries GIS, geographical information systems, is an integrated system of computer hardware..., software, data and trained people to work with the system. A GIS system is formed by geo-referenced layers of information. Researchers sort and select data in order to solve problems or draw inferences. GIS has been part of the mapping sciences since...

Weimer, Kathy

2008-08-22T23:59:59.000Z

230

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

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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...

231

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

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

cells in the first column attempt to illustrate this concept. Printable Version NREL GIS Home About NREL GIS Renewable Energy Technical Potential Maps MapSearch Biomass Federal...

232

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

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

Web Mapping and Online GIS Applications for Renewable Energy Web Mapping and Online GIS Applications for Renewable Energy Presentation at the May 26, 2010, TAP Webinar presented by...

233

DeterminaciĂłn del potencial solar y eĂłlico 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

234

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 fĂĽr 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

235

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 fĂĽr 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

236

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 fĂĽr 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

237

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 fĂĽr 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

238

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 fĂĽr 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

239

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 fĂĽr 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

240

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 fĂĽr 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

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

GIS Day @ KU 2007 Symposium Schedule  

E-Print Network [OSTI]

continue our tradition of bringing together a community of GIS users from academia, business and government. This year's focus is on the range of available software solutions (both proprietary and open-source), and how GIS and the web are combining...

GIS Day @ KU Planning Committee

2007-11-14T23:59:59.000Z

242

Presented in Concord, Merrimack and West Lebanon, NH by the UNHCE Geospatial Outreach Program ArcGIS Workshops Fall 2012  

E-Print Network [OSTI]

Drivers Permit 10 1-day, 9am to 4pm To be announced Topics covered: ArcGIS 10 Exploring GIS maps Basic GIS Lebanon, NH December 4-6, Merrimack, NH Topics covered: ArcGIS 10 Creating GIS maps GIS techniques GIS and applications, participants learn how to use ArcGIS 10 to produce effective maps, edit and create GIS data

New Hampshire, University of

243

Lab1 Creating a grid 1 GIS Laboratory Exercises  

E-Print Network [OSTI]

the presentation of results (maps, tables, and text) of GIS analysis. · give students experience in workingLab1 Creating a grid 1 GIS Laboratory Exercises: Introduction to GIS 2nd edition by Jeremy Taylor In 1990, the NCGIA published the 1000+ page set of lecture notes, the NCGIA Core Curriculum in GIS

California at Santa Barbara, University of

244

GIS IN SOIL & WATER SCIENCE On-Campus Section 8197  

E-Print Network [OSTI]

it can do. Work with and create GIS maps in ArcMap. Access and query a GIS database. Describe two a dataset. Query and analyze GIS data. Create presentation-quality maps and graphs DELIVERY MODE: · CourseSWS 4720C GIS IN SOIL & WATER SCIENCE On-Campus Section 8197 Fall 2013 Instructor Susan Curry

Ma, Lena

245

GIS IN SOIL & WATER SCIENCE Distance Education Sections  

E-Print Network [OSTI]

is and what it can do. Work with and create GIS maps in ArcMap. Access and query a GIS database. Describe a dataset. Query and analyze GIS data. Create presentation-quality maps and graphs DELIVERY MODE: · CourseSWS 4720C GIS IN SOIL & WATER SCIENCE Distance Education Sections Fall 2013 Instructor Susan Curry

Ma, Lena

246

MODULE DESCRIPTION FORM CL 961 Geographical Information Systems (GIS)  

E-Print Network [OSTI]

MODULE DESCRIPTION FORM CL 961 Geographical Information Systems (GIS) Module Registrar: Dr Elsa current state-of-the-art Geographical Information Systems (GIS). GIS are spatial databases that can handle of living in different areas is related to health and disease. Although GIS is a crucial analytical tool

Mottram, Nigel

247

DEVELOPING GIS VISUALIZATION WEB SERVICES FOR GEOPHYSICAL APPLICATIONS  

E-Print Network [OSTI]

DEVELOPING GIS VISUALIZATION WEB SERVICES FOR GEOPHYSICAL APPLICATIONS A. Sayar a,b. *, M. Pierce Commission II, WG II/2 KEY WORDS: GIS, Geophysics, Visualization, Internet/Web, Interoperability, Networks Information System (GIS) community. In this paper we will describe our group's efforts to implement GIS

248

GIS and Spatial Analysis: Report on the Specialist Meeting  

E-Print Network [OSTI]

GIS and Spatial Analysis: Report on the Specialist Meeting Edited by A. Stewart Fotheringham-sponsored initiative on GIS and Spatial Analysis was first submitted to the Scientific Policy Committee of the NCGIA for initiatives on "GIS and Statistical Analysis" and "GIS and Spatial Modeling". The essence of the former

California at Santa Barbara, University of

249

Mobile GIS for Cadastral Data Collection in Ghana Eric MENSAHOKANTEY  

E-Print Network [OSTI]

Mobile GIS for Cadastral Data Collection in Ghana Eric MENSAH­OKANTEY Barend K�BBEN 1 Introduction With the development of Web GIS and the emergence of Mobile GIS new possibilities of data capture and maintenance objective was to design a system of Mobile GIS suitable for building and revising a cadastral database. Up

Köbben, Barend

250

GIS-BASED MONITORING SYSTEMS Bres Csaba Zoltn  

E-Print Network [OSTI]

GIS-BASED MONITORING SYSTEMS B�res Csaba Zolt�n University of P�cs/RT TD&ICT halshs-01053263�cs : France (2004)" #12;47 GIS-based monitoring systems B�res Csaba Zolt�n Nowadays GIS (Geographical, concrete tool in the hands of researchers and participants of economic life. Due to this fact GIS

Paris-Sud XI, Université de

251

Andreas Neumann & Barend Kbben SVG in GIS and  

E-Print Network [OSTI]

Andreas Neumann & Barend Köbben SVG in GIS and Webmapping 1 #12;Andreas Neumann & Barend Köbben 2 Categories and examples · Spatial Databases Postgis, SpatiaLite · Desktop-GIS Quantum-GIS, GRASS, Autodesk Map3D, ESRI ArcGIS · Converters MapViewSVG, FME, gdal, · Commercial Webmap Services Google Maps · OS

Köbben, Barend

252

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

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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.

253

New online GIS technology degree and online professional GIS technology certificate, University of Arizona, School of Geography and Development  

E-Print Network [OSTI]

New online GIS technology degree and online professional GIS technology certificate, University-O format will enable students from around the globe to complete courses in GIS analysis and programming input from professionals in a wide range of industries that rely upon GIS for operations and decision

254

GIS Applications in MeteorologyGIS Applications in Meteorology Adventures in a Parallel UniverseAdventures in a Parallel Universe  

E-Print Network [OSTI]

GIS Applications in MeteorologyGIS Applications in Meteorology (or)(or) Adventures in a Parallel Mason UniversityDept. Geography, George Mason University 24 June 200324 June 2003 GIS Meteorology, Shipley NCAR, 24 Jun 2003NCAR 24Jun03.ppt #12;NCAR 24Jun03.ppt GIS Meteorology, Shipley NCAR, 24 Jun 2003

255

1998 3D GIS vs Advanced visualisation -Hack & Ozmutlu -LWI Seminar 1 3D-GIS vs Advanced Visualization  

E-Print Network [OSTI]

1998 3D GIS vs Advanced visualisation - Hack & Ozmutlu - LWI Seminar 1 3D-GIS vs Advanced Visualization Hack H.R.G.K. and Ozmutlu S. LWI seminar 1998 Delft, The Netherlands #12;1998 3D GIS vs Advanced visualisation - Hack & Ozmutlu - LWI Seminar 2 3D-GIS vs Advanced Visualization Visualization Strategy At source

Hack, Robert

256

NREL GIS Data: Global Offshore Wind - Datasets - OpenEI Datasets  

Open Energy Info (EERE)

NREL GIS Data: Global ... Dataset Activity Stream NREL GIS Data: Global Offshore Wind GIS data for offshore wind speed (meterssecond). Specified to Exclusive Economic Zones (EEZ)....

257

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

258

GIS voor historisch landschapsonderzoek : Opzet en gebruik van een historisch GIS voor prekadastrale kaarten.  

E-Print Network [OSTI]

??Formulation of the problem This study focuses on the use of a geographic information system (GIS) with regard to access to map books. The goal… (more)

Heere, E.

2008-01-01T23:59:59.000Z

259

Geographic information systems (GIS) for participation: the future of environmental GIS?  

Science Journals Connector (OSTI)

The conventional uses of geographic information systems (GIS) in environmental management have been criticized for being undemocratic and avoiding the social dimension of these issues. To address these criticisms, new participatory approaches are being developed by the GIS community. These new techniques involve the integration of conventional spatial data and mental maps showing communities' (or various groups') perceptions of their environment and how they use resources. Case studies using these new techniques highlight how GIS is being incorporated into participatory studies. The advantages and drawbacks of using GIS for participation are discussed, with the conclusion that the techniques provide a useful new approach for environmental management.

Steve Cinderby

1999-01-01T23:59:59.000Z

260

GIS Techniques for Mapping Groundwater Contamination Risk  

Science Journals Connector (OSTI)

The groundwater contamination risk map of a samplealluvial area was produced by using the IlwisGeographical Information System (GIS) to construct andto overlay thematic maps. The risk map has beenderived from the...

Daniela Ducci

1999-11-01T23:59:59.000Z

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.


261

Fuzzy cognitive maps in GIS data analysis  

Science Journals Connector (OSTI)

?Fuzzy cognitive maps (FCMs) are graphs that provide a...functional...systems. We have developed a system based on contextual fuzzy cognitive maps (CFCMs) for geographic information systems (GIS) using both spati...

Z.-Q. Liu

2003-05-01T23:59:59.000Z

262

Sketch Map Analysis Using GIS Buffer Operation  

Science Journals Connector (OSTI)

We developed a method to analyze sketch maps by GIS, and applied it to an actual case ... using buffer operation was more effective for sketch map analyses than other methods, such as the ... micro-genetic cognit...

Kohei Okamoto; Kei-ichi Okunuki…

2005-01-01T23:59:59.000Z

263

Gis Technology in Mapping Landslide Hazard  

Science Journals Connector (OSTI)

In the recent years, the ever-increasing diffusion of GIS technology has facilitated the application of quantitative ... potential of such technological advancements, landslide hazard mapping remains a major, lar...

Alberto Carrara; Mauro Cardinali…

1995-01-01T23:59:59.000Z

264

Historical maps of Ljubljana for GIS applications  

Science Journals Connector (OSTI)

Methods for georeferencing and GIS applications of the maps and plans from the 16th century until ... The results of georeferencing — derivatives of historical maps, show a high value and potential of ... policy....

T. Podobnikar

2010-03-01T23:59:59.000Z

265

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

266

Geographic information systems (GIS) for geologic mapping  

SciTech Connect (OSTI)

The computer-based Geographic Information System (GIS) is a powerful and versatile tool for preparation of geologic maps. Using GIS different types of geographically oriented information can be displayed on a common base in a flexible format that facilitates examination of relationships between the types of information. In addition, text-based and graphic information (attributes) from separate databases can be attached to points, lines or areas within the different map layers. Although GIS has enormous potential for geologic mapping, it must be used with care. Key considerations when using GIS include realistic representation of the geology, choice of an appropriate scale for the maps, and comparison of the computer-generated maps with field observations to maintain quality control. In building multilayer GIS maps, the data sources must be at a scale appropriate to the intended use. Information derived from diverse sources must be examined carefully to assure that it is valid at the scale of representation required. Examples of GIS products created for one purpose, but potentially misused for a different purpose, include formation contacts (lines) on a regional geologic map scaled up for a facility siting study or well locations on a small-scale location map subsequently contoured for contaminant plume prediction at a very large scale. In using GIS to prepare geologic maps, it is essential to have a clear rationale for the map and use an appropriate scale to depict the various layers of information. The authors of GIS-based geologic maps must be aware that the attractive, polished appearance of their products may tempt some end users to stretch and misinterpret the information displayed.

Schock, S.C. (Environmental Protection Agency, Cincinnati, OH (United States). Center for Environmental Research Information)

1993-03-01T23:59:59.000Z

267

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)

268

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

269

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-Ă -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.

270

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-Ă -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.

271

Presented in Conway, Lee, Merrimack and Plymouth, NH by the UNHCE Geospatial Outreach Program ArcGIS Workshops Spring 2013  

E-Print Network [OSTI]

Topics covered: ArcGIS 10.1 Exploring GIS maps Basic GIS techniques $99 Workshop summary: Learn GIS maps.1 GIS techniques GIS data maintenance $495 standard, $349 reduced Workshop summary: Learn the ins and applications, participants learn how to use ArcGIS 10.1 to produce effective maps, edit and create GIS data

New Hampshire, University of

272

Presented in Lee and Concord, NH by the UNHCE Geospatial Outreach Program ArcGIS Workshops Winter 2013  

E-Print Network [OSTI]

, 9am to 4pm January 17, 2013 Lee, NH Topics covered: ArcGIS 10.1 Exploring GIS maps Basic GIS: ArcGIS 10 Creating GIS maps.1 GIS techniques GIS data maintenance $495 standard, $349 reduced Skill.1 to produce effective maps, edit and create GIS data, as well as, conduct geospatial analysis. Participants

New Hampshire, University of

273

March 2012 GIS Workshops in Concord, NH SPACE IS LIMITED -PRE-REGISTRATION IS REQUIRED  

E-Print Network [OSTI]

March 2012 GIS Workshops in Concord, NH SPACE IS LIMITED - PRE-REGISTRATION IS REQUIRED. phone: 603.862.1029 web: http://gisworkshops.org email: gis@unh.edu GIS 101: Learning to Map in the Digital Age March 27th, 9am to noon Topics covered: basic GIS concepts types of GIS data types of GIS

New Hampshire, University of

274

May 2012 GIS Workshops in Plymouth, NH SPACE IS LIMITED -PRE-REGISTRATION IS REQUIRED  

E-Print Network [OSTI]

May 2012 GIS Workshops in Plymouth, NH SPACE IS LIMITED - PRE-REGISTRATION IS REQUIRED Registration. phone: 603.862.1029 web: http://gisworkshops.org email: gis@unh.edu GIS 101: Learning to Map in the Digital Age May 10, 9am to noon Topics covered: basic GIS concepts types of GIS data types of GIS software

New Hampshire, University of

275

April 2012 GIS Workshops in Conway, NH SPACE IS LIMITED -PRE-REGISTRATION IS REQUIRED  

E-Print Network [OSTI]

April 2012 GIS Workshops in Conway, NH SPACE IS LIMITED - PRE-REGISTRATION IS REQUIRED Registration.862.1029 web: http://gisworkshops.org email: gis@unh.edu GIS 101: Learning to Map in the Digital Age April 18, 9am to noon Topics covered: basic GIS concepts types of GIS data types of GIS software $49 Skill

New Hampshire, University of

276

January 2012 GIS Workshops in Durham, NH SPACE IS LIMITED -PRE-REGISTRATION IS REQUIRED  

E-Print Network [OSTI]

January 2012 GIS Workshops in Durham, NH SPACE IS LIMITED - PRE-REGISTRATION IS REQUIRED.862.1029 web: http://gisworkshops.org email: gis@unh.edu GIS 101: Learning to Map in the Digital Age January 10th, 9am to noon Topics covered: basic GIS concepts types of GIS data types of GIS software $49 Skill

New Hampshire, University of

277

Recommendation 225: Recommendation on DOE Oak Ridge GIS Fact...  

Energy Savers [EERE]

Recommendation 225: Recommendation on DOE Oak Ridge GIS Fact Sheets Recommendation 225: Recommendation on DOE Oak Ridge GIS Fact Sheets Not all fact sheets that can be accessed on...

278

06554_GreenRiverGIS | netl.doe.gov  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

GIS and Web-Based Water Resource Geospatial Infrastructure for Oil Shale Development Last Reviewed 6262013 DE-NT0006554 Goal The goal of this project is to develop a GIS-...

279

Load-balancing in high performance GIS: Declustering polygonal maps  

Science Journals Connector (OSTI)

A high performance geographic information system (GIS) is a central component of many real ... -time applications of spatial decision making. The GIS may contain gigabytes of geometric and feature ... via range q...

Shashi Shekhar; Sivakumar Ravada; Vipin Kumar…

1995-01-01T23:59:59.000Z

280

Modelling Higher Dimensional Data for GIS Using Generalised Maps  

Science Journals Connector (OSTI)

Real-world phenomena have traditionally been modelled in 2D/3D GIS. However, powerful insights can be gained ... is problematic since the data models used in GIS are not appropriate. In this paper, ... possible d...

Ken Arroyo Ohori; Hugo Ledoux…

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.


281

Vernacular GIS: Mapping Early Modern Geography and Socioeconomics  

Science Journals Connector (OSTI)

One of the key objections made against the use of geographic information systems (GIS) in the study of history is that ... time, funding and manpower necessary to produce GIS are also a concern. However, these .....

Alexi Baker

2013-01-01T23:59:59.000Z

282

Vector watermarking scheme for GIS vector map management  

Science Journals Connector (OSTI)

A geographical information services (GIS) can be provided on the basis of a digital map, which is the fundamental form of representation of data in a GIS. Because the process of producing a digital map is conside...

Suk-Hwan Lee; Ki-Ryong Kwon

2013-04-01T23:59:59.000Z

283

Using GIS to Measure Connectivity: An Exploration of Issues  

E-Print Network [OSTI]

Using GIS to Measure Connectivity: An Exploration of Issues Mike Tresidder Field Area Paper School Measures 7 Methodology 8 Geographic Information Systems (GIS) 8 Data Collection 10 Protocol 12 Examples

Bertini, Robert L.

284

information systems (gis) at san francisco state University  

E-Print Network [OSTI]

urban & regional planning natural resource management public health & medicine architecture Jerry Davis offering a new certificate: GIS Certificate in Environmental Analysis The use of geographic information systems (GIS) for conservation planning, environmental monitoring, and other types of environmental

285

Enterprise GIS System Architecture Prepared for: State of Rhode Island  

E-Print Network [OSTI]

Enterprise GIS System Architecture Prepared for: State of Rhode Island Date: 9/26/2011 Prepared byEdit, ArcEditor, ArcEurope, ArcExplorer, ArcExpress, ArcGIS, ArcGlobe, ArcGrid, ArcIMS, ARC/INFO, ArcInfo, ArcInfo Librarian, ArcInfo--Professional GIS, ArcInfo--The World's GIS, ArcLessons, ArcLocation, Arc

Wang, Y.Q. "Yeqiao"

286

ORNL DAAC, global climate data, GIS formats  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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.

287

Web-Based GIS and Desktop Open Source GIS Software: An Emerging Innovative Approach for Water Resources Management  

Science Journals Connector (OSTI)

This paper introduces an overview of Web-based GIS and its applications and some of the easily assessable Desktop Open Source GIS Software with easy–to–follow guidance that ... decision-maker and interested stake...

Sangeeta Verma; Ravindra Kumar Verma…

2012-01-01T23:59:59.000Z

288

A Geographic Information System (GIS) integrates hardware, software, and data  

E-Print Network [OSTI]

, patterns, and trends in the form of maps, globes, reports, and charts. A GIS helps you answer questions1 A Geographic Information System (GIS) integrates hardware, software, and data for capturing, managing, analyzing, and displaying all forms of geographically referenced information. GIS allows us

Gilbes, Fernando

289

RESEARCH REPORT 1738-4 GIS FOR FLOODPLAIN MAPPING IN  

E-Print Network [OSTI]

RESEARCH REPORT 1738-4 GIS FOR FLOODPLAIN MAPPING IN DESIGN OF HIGHWAY DRAINAGE FACILITIES David 1998 4. Title and Subtitle GIS FOR FLOODPLAIN MAPPING IN DESIGN OF HIGHWAY DRAINAGE FACILITIES 6-dimensional floodplain mapping in a geographic information system (GIS). The methodology was applied to a segment

Texas at Austin, University of

290

Integrating GIS-based environmental data into evolutionary biology  

E-Print Network [OSTI]

distributed across the world? Fortunately, the availability of geographic information system (GIS) maps into evolutionary studies. By plotting the sampling locations of organisms on GIS maps, researchers can readily data in combination with GIS maps of environmental variation to predict areas where the species can

Wiens, John J.

291

GIS Day @ KU 2010 Symposium Schedule and Opening Remarks  

E-Print Network [OSTI]

GIS Day @ KU is part of a nationwide event to promote awareness of geographic information systems (GIS), and how we use this evolving tool to analyze our world. We continue our tradition of bringing together a community of GIS users from academia...

GIS Day @ KU Planning Committee; Eric Weber

2010-11-17T23:59:59.000Z

292

GIS and Augmented Reality : State of the Art and Issues  

E-Print Network [OSTI]

Chapter 1 GIS and Augmented Reality : State of the Art and Issues Olivier Hugues , Jean Information System (GIS) and Augmented Reality (AR). Thanks to some factors, we will detail hereafter hereafter. We then outline applications combining GIS and a display technique using AR in order to identify

Paris-Sud XI, Université de

293

WANTED: GIS Intern Close Date: 3/23/2012  

E-Print Network [OSTI]

WANTED: GIS Intern Close Date: 3/23/2012 Send Cover Letter, Resume, References, and Portfolio to: GIS.Intern@urbanrobotics.net Company Background Urban Robotics Inc. is a well-established engineering are currently hiring an Intern or entry level GIS Analyst capable of understanding the world of metadata

Escher, Christine

294

Architektura GIS z pohledu tok dat Mgr. Toms Skopal  

E-Print Network [OSTI]

1 Architektura GIS z pohledu tok dat Mgr. Tomás Skopal Katedra informatiky, FEI VSB ­ Technická This article introduces original model of open software architecture for GIS, which should hit the intent ­ accelerate and improve GIS applications design. First part deals with the solution motivation, second part

Skopal, Tomas

295

Using Genetic Algorithms for Solving Hard Problems in GIS  

E-Print Network [OSTI]

Using Genetic Algorithms for Solving Hard Problems in GIS Steven van Dijk Dirk Thierens Mark de in Geographical Information Systems (GIS's). The framework is especially suited for geographical problems since as well. 1 Introduction Geographic Information Systems (GIS's for short) combine a geographical database

Utrecht, Universiteit

296

Two Perspectives on Data Quality Geographic Knowledge Production Through GIS  

E-Print Network [OSTI]

Two Perspectives on Data Quality Geographic Knowledge Production Through GIS: Towards a Model Report 92-12 December 1992 #12;Geographic Knowledge Production Through GIS: Towards a Model for Quality through GIS: Towards a model for quality monitoring. HELEN COUCLELIS Department of Geography University

California at Santa Barbara, University of

297

Intelligent Assistants for Filling Critical Gaps in GIS  

E-Print Network [OSTI]

Intelligent Assistants for Filling Critical Gaps in GIS A Research Program April 1992 David Lanter, Intelligent Assistants for Filling Critical Gaps In GIS, was sponsored by Southern California Edison Company: · An analysis of critical gaps in current geographic information systems (GIS) that impede their use for spatial

California at Santa Barbara, University of

298

GIS IN WATER RESOURCES CE 413/513, 3 credits  

E-Print Network [OSTI]

GIS IN WATER RESOURCES CE 413/513, 3 credits Prerequisites: Senior or graduate in Engineering or one previous GIS course CE 413 Instructor: Tracy Arras CE 513 Instructor: Wayne Huber Office: Owen 238 Learning Objectives · Demonstrate the basic concepts and operation of GIS for water resources Data models

Wright, Dawn Jeannine

299

Instruction Guide General Information Services, Inc. (GiS)  

E-Print Network [OSTI]

Instruction Guide General Information Services, Inc. (GiS) EQuest+ Ordering and Viewing Process with your organization. GiS will contact you directly if we are in need of a copy of the signed REPORT 1. Go to website address: https://apps.geninfo.com/Login.aspx?CompanyParm=GIS-US 2. At the EQUEST

Butler, Laurie J.

300

GIS, Cartography, and the Information Society An Annotated Bibliography  

E-Print Network [OSTI]

GIS, Cartography, and the Information Society An Annotated Bibliography Compiled by William Dowdy collected by the compiler for specific use as support material at the NCGIA's Workshop "GIS and Society of "GIS, Cartography, and the Information Society." This bibliography is by no means comprehensive

California at Santa Barbara, University of

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

Spatial indexing of static maps for navigation in online GIS: application for tourism web GIS  

Science Journals Connector (OSTI)

Geographic Information Systems (GIS) have become prominent technology, widely adopted in diverse domains. Their online availability through the web and internet technologies has reinforced that. On the other hand, Open Source platforms provide all the instruments necessary to build-up a web solution for a GIS that can be completely used interactively. In this paper, we will introduce the concept of online GIS and the available solutions, especially those which are open source. For the 'Static Map' solution, we propose a new organisation of images, based on the spatial indexes. In order to speed-up the search and to optimise the images' retrieval, we propose a modification of the research algorithm using a proposed selection criterion and navigation modes. Finally, we implemented the organisation through the development of a tourist sites' online GIS of the west region of Algiers, Algeria.

B. Bessaa; M. Belhadj Aissa; R. Amara; A. Belhadj Aissa

2013-01-01T23:59:59.000Z

302

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-Ă -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.

303

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-Ă -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

304

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-Ă -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

305

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-Ă -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.

306

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-Ă -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

307

Mapping the News: How Journalists use GIS  

E-Print Network [OSTI]

in January 2002, he was an investigative reporter for the Providence Journal in Rhode Island and editor for computer-assisted reporting at The Morning Call in Allentown, Pa. He is author of the book "Mapping the News: Case Studies in GIS and Journalism" (ESRI...

Herzog, David

2006-11-15T23:59:59.000Z

308

GISolve toolkit: advancing GIS through cyberinfrastructure  

Science Journals Connector (OSTI)

Cyberinfrastructure integrates information and communication technologies to enable high-performance, distributed, and collaborative knowledge discovery, and promises to revolutionize the way that science and engineering are conducted in the 21st century. ... Keywords: GIS, cyberinfrastructure, service-oriented computing, spatial analysis, web 2.0

Shaowen Wang

2008-11-01T23:59:59.000Z

309

Solar Circuitry  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Solar Circuitry" with the Solar Powered Energy Kit Curriculum: Solar Power- (lightelectromagnetic radiation, electricity, circuitry, efficiency, energy transformation, subatomic...

310

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

311

Improving exploration with geographical information system (GIS) technology  

SciTech Connect (OSTI)

Timely reliable access to data is required by Earth Scientists and Engineers evaluating geology, facilities, environment, and new business opportunities. Geographical Information System (GIS) technology has been recently implemented to provide efficient and comprehensive access to data for exploration work in Venezuela. The GIS allows rapid comparisons, queries, sorting, and evaluation of data that in the past required multiple hardware platforms, multiple software packages, paper plots, spreadsheets, and time. A vendor GIS database package formed the foundation. This GIS provided regional coverage for the entire country of Venezuela at a scale of 1:250,000. It included 36,000 wells and associated attributes, facilities, geologic maps, potential field data, and transportation networks. Essential with GIS, all of the data were transformed from multiple cartographic datums to a single map projection. Proprietary and other tabular databases were incorporated into the vendor GIS by Chevron, significantly upgrading the value of the system for company exploration. Tabular databases were either imported, linked or converted to the GIS. They included Nomad, Paradox, Oracle, Openworks, and PC-based spreadsheets containing wells, seismic, and geochemistry data. Nontabular data types incorporated into the GIS included digital outcrop log and paleosections, maps, other GIS data, Global Positioning System control points, satellite imagery and scanned photographs. The enhanced GIS has proven valuable for facilitating access to, and rapid and accurate evaluation of, large geographic areas with multiple data sources and types.

Goodwin, P.B.; Choiniere, M.R.; Harris, F.W. [Chevron Overseas Petroleum, Inc., San Ramon, CA (United States)] [and others

1996-12-31T23:59:59.000Z

312

September 2013 GIS Workshops in Concord, NH SPACE IS LIMITED -PRE-REGISTRATION IS REQUIRED  

E-Print Network [OSTI]

the basics of Geographic Information System (GIS) mapping software and explore a variety of free GIS pro, become fluent in GIS jargon, explore the variety of free GIS and mapping software, understand both the basics of the programs, including how to create maps, edit GIS data and do basic geo- processing

New Hampshire, University of

313

Lab One 01-26 & 01-28 Introduction to the GIS Lab  

E-Print Network [OSTI]

Lab One 01-26 & 01-28 Introduction to the GIS Lab Introduction to the lab: 1) There are three GIS) GIS lab etiquette: DO NOT enter the instruction lab when another class is in session; move to another if using sound. 4) Operating system: Windows XP. 5) GIS software: ESRI ArcGIS 9.2 6) Printing: Get

Hung, I-Kuai

314

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-Ă -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

315

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-Ă -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

316

The Little Known History of GIS  

E-Print Network [OSTI]

; that then morphed into RANN. • Numerous applied research centers created including, U of Illinois, U of MI (ERIM), U of WA, and ORNL, all were developing environmental modeling systems funded by NSF involving GIS tools. • Meanwhile other centers developed... by CARETS) and Fredrick Roland Broome at Census Bureau developed the TIGER/DIME system. • In 1969, ORNL began developing one of the largest regional modeling experiment ever attempted (RESA was driven by ORRMIS) Am independent evaluation...

Honea, Bob

2011-11-16T23:59:59.000Z

317

E-Print Network 3.0 - approach health gis Sample Search Results  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

health gis Search Powered by Explorit Topic List Advanced Search Sample search results for: approach health gis Page: << < 1 2 3 4 5 > >> 1 Map and GIS Collections and Services...

318

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 Town’s 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

319

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

320

DO-GIS -a distributed and object oriented GIS B.V.S.S.D. Kiran Kumar , Prasun Sinha and P.C.P. Bhatt  

E-Print Network [OSTI]

DO-GIS - a distributed and object oriented GIS B.V.S.S.D. Kiran Kumar , Prasun Sinha and P system, DO-GIS, under development at I.I.T. Delhi. The paper deals with data model, architecture, query processing and data management in a GIS. Considering that geographical data includes information about

Sinha, Prasun

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

NREL: Dynamic Maps, GIS Data, and Analysis Tools - Marine & Hydrokinet...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

and Renewable Energy's Water Power Program site. For Geographic Information System (GIS) MHK resource data, access the Data Resources page. If you have difficulty accessing...

322

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

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

August 2012 The Geographic Information System (GIS) Team at the National Renewable Energy Laboratory (NREL) encompasses a broad range of scientific research and reporting activity...

323

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

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

April 2012 The Geographic Information System (GIS) Team at the National Renewable Energy Laboratory (NREL) encompasses a broad range of scientific research and reporting activity...

324

Geographic information system (GIS) analysis of ecosystem invasion ...  

Science Journals Connector (OSTI)

Geographic information system (GIS) analysis with bathymetric, substrate, and side scan sonar (SSS) data was used to assess both spatial and temporal ...

cbrown@sun10

1910-01-12T23:59:59.000Z

325

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

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Hydrogen Maps Below are some examples of how geographic information system (GIS) modeling is used in hydrogen infrastructure, demand, market and resource analyses. The JPG images...

326

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

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

and graphically utilizing a state-of-the-art Geographic Information System (GIS), a computer-based information system used to create and visualize geographic...

327

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

Open Energy Info (EERE)

for Renewable Energy Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Web Mapping and Online GIS Applications for Renewable Energy AgencyCompany Organization:...

328

Evaluation of AirGIS: a GIS-based air pollution and human exposure modelling system  

Science Journals Connector (OSTI)

This study describes in brief the latest extensions of the Danish Geographic Information System (GIS)-based air pollution and human exposure modelling system (AirGIS), which has been developed in Denmark since 2001 and gives results of an evaluation with measured air pollution data. The system shows, in general, a good performance for both long-term averages (annual and monthly averages), short-term averages (hourly and daily) as well as when reproducing spatial variation in air pollution concentrations. Some shortcomings and future perspectives of the system are discussed too.

Matthias Ketzel; Ruwim Berkowicz; Martin Hvidberg; Steen Solvang Jensen; Ole Raaschou-Nielsen

2011-01-01T23:59:59.000Z

329

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

330

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

331

Application of GIS to spatial analysis of mesofault populations  

Science Journals Connector (OSTI)

This paper presents a GIS approach to spatial analysis of fault populations. Coherence between fault moment tensors, a concept borrowed from the geophysical works of Kagan and Knopoff [1985a. Geophysical Journal of the Royal Astronomical Society 81(2), ... Keywords: Faults, GIS customization, Spatial analysis, Structural analysis, Tensor

Mauro Alberti

2005-12-01T23:59:59.000Z

332

Web-GIS models: accomplishing modularity with aspects  

Science Journals Connector (OSTI)

Spatial concerns of Web geographical information systems (Web-GIS) are inherently crosscutting and volatile: crosscutting because they affect multiple functionalities of Web-GIS systems, and volatile because their status may change often. If these concerns ... Keywords: Aspect-oriented software development, Web geographical information systems

Matias Urbieta; Ana Oliveira; Joăo Araújo; Armanda Rodrigues; Ana Moreira; Sílvia Gordillo; Gustavo Rossi

2014-03-01T23:59:59.000Z

333

A Temporal Calculus for GIS using Tesseral Addressing  

E-Print Network [OSTI]

maps onto a raster grid. A a result the calculus is precisely compati­ ble with raster based GIS­­ ­­ A Temporal Calculus for GIS using Tesseral Addressing Frans Coenen, Bridget Beattie, Bernard Informa­ tion Systems (GIS) based on raster representations. In this paper we describe a temporal

Atkinson, Katie

334

USING GIS TOOLS TO SUPPORT E_PARTICIPATION A SYSTEMATIC  

E-Print Network [OSTI]

-participation is the use of digital maps and geographic information systems (GIS) for supporting and enhancing on of implementation of European legal acts concerning energy and environment by enabling enhanced maps/GISUSING GIS TOOLS TO SUPPORT E_PARTICIPATION ďż˝ A SYSTEMATIC EVALUATION Euripidis Loukis1 , Alexander

Boyer, Edmond

335

GIS for Nevada railroads: 1993 report  

SciTech Connect (OSTI)

This is an interim report on a task within a large, ongoing study by the University of Nevada, Reno to examine the safety of Nevada railroads. The overall goal, of which this year`s research is a middle stage, is to develop models based on the use of geographic information systems (GIS). These models are to enable the selection of the best and safest railway routes for the transport of high-level nuclear waste across Nevada to the proposed repository at Yucca Mountain. Last year`s research concluded that the databases are adequate and that GIS are feasible and desirable for displaying the multi-layered data required to reach decisions about safety. It developed several database layers. This report deals with work during 1993 on the use of geographic information systems (GIS) for rail-route selection. The goal was to identify and assemble many of the databases necessary for the models. In particular, the research aimed to identify (a) any problems with developing database layers; and (b) the level of effort required. This year`s effort developed database layers for two Nevada counties: Clark and Lincoln. The layers dealt with: topographic information, geologic information, and land ownership. These are among the most important database layers. The database layers were successfully created. No significant problems arose in developing them. The level of effort did not exceed the expected level. The most effective approach is by means of digital, shaded relief maps. (Sample maps appear in plates.) Therefore, future database development will be straightforward. Research may proceed on the full development of shaded relief elevation maps for Elko, White Pine, Nye and Eureka counties and with actual modeling for the selection of a route or routes between the UP/SP line in northern Nevada and Yucca Mountain.

Carr, J.R.

1993-12-01T23:59:59.000Z

336

Limitations in solar module azimuth and tilt angles in building integrated photovoltaics at low latitude tropical sites in Brazil  

Science Journals Connector (OSTI)

Abstract Photovoltaic (PV) generation depends directly on the amount of radiation received by solar modules at a given temperature, and annual irradiation varies according to site location and PV array position. In this paper, the limitations and the solar irradiation levels received by building surfaces in different positions (with azimuth and tilt angle variation) in capital cities in Brazil are shown, making use of the Brazilian global horizontal solar irradiation data provided by the SWERA (Solar and Wind Energy Resource Assessment) project. These data were processed to generate figures on the irradiation at various PV module orientations and slopes for each city, which show the relative radiation levels received on specific azimuth and tilt angles in relation to the ideal position. Results were validated using four real and operating PV systems. In general, variations in azimuth or slope did not cause large annual irradiation losses up to around 20° tilt angles. This shows to PV system planners that under these fairly flexible conditions it is possible to install PV on any orientation, keeping high levels of annual irradiation, and that limitations in orientation and tilt can be relatively low. It also allows a quick analysis of PV retrofit in building-applied photovoltaics (BAPV), when seeking the best building surfaces to incorporate PV.

Ísis Portolan dos Santos; Ricardo Rüther

2014-01-01T23:59:59.000Z

337

Sediment Budget Analysis System (SBAS) for ArcGIS 10 -User's Guide Page 1 of 49  

E-Print Network [OSTI]

Sediment Budget Analysis System (SBAS) for ArcGIS 10 - User's Guide Page 1 of 49 CESAM-OPJ-GIS Document current as of March 28, 2012 10:27 AM Sediment Budget Analysis System (SBAS) for ArcGIS 10 User's Guide D R AFT #12;Sediment Budget Analysis System (SBAS) for ArcGIS 10 - User's Guide Page 2 of 49 CESAM

US Army Corps of Engineers

338

Sediment Budget Analysis System (SBAS) for ArcGIS 10 -User's Guide Page 1 of 50  

E-Print Network [OSTI]

Sediment Budget Analysis System (SBAS) for ArcGIS 10 - User's Guide Page 1 of 50 CESAM-OPJ-GIS Document current as of June 27, 2012 10:09 AM Sediment Budget Analysis System (SBAS) for ArcGIS 10 User's Guide D R AFT #12;Sediment Budget Analysis System (SBAS) for ArcGIS 10 - User's Guide Page 2 of 50 CESAM

US Army Corps of Engineers

339

How to download ESRI Data and Maps GIS data files via the Network  

E-Print Network [OSTI]

How to download ESRI Data and Maps GIS data files via the Network Network & Academic Computing of ArcGIS) provides numerous GIS base map data files with our UCI campus site license which you, as a UCI access the data. Downloading ESRI Data and Maps GIS data files from OIT consists of the following steps

Brody, James P.

340

Object calculus and the object-oriented analysis and design of an error-sensitive GIS  

E-Print Network [OSTI]

Object calculus and the object-oriented analysis and design of an error-sensitive GIS MATT DUCKHAM of an error-sensitive GIS Abstract. The use of object-oriented analysis and design (OOAD) in GIS research of the key contemporary issues in GIS. This paper examines the application of one particular OO formalism

Duckham, Matt

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

Curating GIS Data: Collaborations Between University Libraries and Local Government Agencies  

E-Print Network [OSTI]

Curating GIS Data: Collaborations Between University Libraries and Local Government Agencies   Katherine  H.  Weimer1  and  Miriam  Olivares2   1  Library  Coordinator,  Professor,  k-­?weimer@library.tamu.edu  |  2...  GIS  Coordinator  olivares@tamu.edu           Map  &  GIS  Library,  Texas  A&M  University  Libraries  |  www.library.tamu.edu/maps-­?gis     References: 1)  Har?er,  Joel,  et.  al.  “Spa...

Weimer, Katherine H.; Olivares, Miriam

2014-02-25T23:59:59.000Z

342

Matt Duckham Page 1 Implementing an object-oriented error sensitive GIS  

E-Print Network [OSTI]

Matt Duckham Page 1 Implementing an object-oriented error sensitive GIS Matt Duckham Department in the handling of uncertainty within GIS, the production of what has been described as an error sensitive GIS of opportunities, but also impediments to the implemen- tation of such an error sensitive GIS. An important barrier

Duckham, Matt

343

GIS-Based Epidemiological Modeling of an Emerging Forest Disease: Spread of  

E-Print Network [OSTI]

247 GIS-Based Epidemiological Modeling of an Emerging Forest Disease: Spread of Sudden Oak Death applied in a GIS to real-world wildland landscapes. In this paper, we present and evaluate a GIS model was implemented (1990-2005) in a GIS to simulate disease spread across California at a spatial

Standiford, Richard B.

344

GeoDialogue: A Software Agent Enabling Collaborative Dialogues between a User and a Conversational GIS  

E-Print Network [OSTI]

GIS Hongmei Wang Department of Computer Science Northern Kentucky University Highland Heights, KY be met to achieve a usable conversational interface to Geographic Information System (GIS) is howDialogue, as a dialogue manager for a conversational GIS. This dialogue agent enables intelligent collaborative human-GIS

Klippel, Alexander

345

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-Ă -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.

346

KU to host symposium on GIS and mapping Nov 18  

E-Print Network [OSTI]

12/5/13 KU to host symposium on GIS and mapping Nov 18 www.lib.ku.edu/news/gis2009.shtml 1/2 Contact Us Rebecca Smith Director of Communications & Advancement KU Libraries Lawrence, Kansas 66045 rasmith@ku.edu (785) 864-1761 RESEARCH TOOLS... and mapping, an information and job fair and a student presentation competition. Last year’s event attracted more than 200 people from academia, the private sector and government. GIS technologies have grown in use and importance over the last two decades...

2010-11-11T23:59:59.000Z

347

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

Broader source: Energy.gov (indexed) [DOE]

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

348

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)

349

The Role of GIS in Decision Support Systems  

Broader source: Energy.gov (indexed) [DOE]

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

350

1 Introduction 1 1.1 Introduction to GIS : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 1  

E-Print Network [OSTI]

Contents 1 Introduction 1 1.1 Introduction to GIS : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 1 1.2 Related work and contribution : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 2 1 Modeling Requirements 3 2.1 Data Input Unit

Shekhar, Shashi

351

Mapping of Noise by Using Gis in ?Anliurfa  

Science Journals Connector (OSTI)

This study was conducted in Sanliurfa city of Turkey, in 3×4 km area. Continuous weekly data were obtained in 11 measurement points. By using these data in (GIS) environment, preparation of the most reliable map ...

Guzel Yilmaz; Yuksel Hocanli

2006-10-01T23:59:59.000Z

352

Building a Library GIS Service from the Ground Up  

E-Print Network [OSTI]

(GISs) Revisited: A Symposium [Special issue]. Journal of Academic Librarianship, 23(6), 447?448. American Geological Institute. (2003). Global GIS database: Digital atlas of North Eurasia. Alex- andria, VA: U.S. Geological Survey. Andronache, C., Mento...

Houser, Rhonda

2006-01-01T23:59:59.000Z

353

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

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

the MapSearch site. For information on how the 50m maps were developed, access the GIS Data Background page. For information on how some of the other wind maps were...

354

GIS and plume dispersion modeling for population exposure assessment  

E-Print Network [OSTI]

. 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...

Archer, Jeffrey Keith

2012-06-07T23:59:59.000Z

355

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

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

potential as defined in this report: U.S. Renewable Energy Technical Potentials: A GIS-Based Analysis (PDF 2.7 MB) represents the achievable energy generation of a particular...

356

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

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

Web Mapping and Online GIS Applications for Renewable Energy EERE TAP Webinar Dan Getman and Ted Quinby May 26, 2010 Innovation for Our Energy Future Innovation for Our Energy...

357

GISness system for fast TSP solving and supporting decision making  

Science Journals Connector (OSTI)

This paper shows that geographic information system can successfully solve TSP (travelling salesman problem). It has been done using a module of the designed and implemented by authors GISness system. Three algorithms for solving TSP are available, including ...

Iwona Pozniak-Koszalka; Ireneusz Kulaga; Leszek Koszalka

2006-09-01T23:59:59.000Z

358

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,

359

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

360

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,

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

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

362

Off-shore wind power potential evaluation and economy analysis of entire Japan using GIS technology  

Science Journals Connector (OSTI)

Off-shore wind energy has been drawing interest recently. This research is focusing on the potential analysis of off-shore wind energy surrounding entire Japan coast using GIS technology. Base on the economy and environment assessment, this research is evaluating the current situation and forecasting on future of wind energy technology in Japan. In order to reduce the green-house gas emission, renewable energy (such as wind energy, solar energy, fuel cell) will gradually substitute can be installed the primary energy resource (such as coal, oil, scale gas). Based on GIS technique, wind power turbines in the surrounding area of Japanese coast-line. In the study, 2,000 kW rated wind turbines are considered for further installation. As the result of this study, we have determined that 108,067 in 330 places number of off-shore with annual generation of 180.0 TWh are expected. This is equal to 20% of annual total generated power of Japan in 2010. Wind speed 6 m/s or more of the coastline, the average cost of electricity is about generation cost is within 10 to 17 Japanese Yen/kWh and construction cost is within 139,445 Japanese Yen/kW to 240,366 Japanese Yen/kW.

Asifujiang Abudureyimu; Yoshiki Hayashi; Zulati Litifu; Ken Nagasaka

2012-01-01T23:59:59.000Z

363

An open source GIS tool to quantify the visual impact of wind turbines and photovoltaic panels  

Science Journals Connector (OSTI)

Abstract Although there are clear economic and environmental incentives for producing energy from solar and wind power, there can be local opposition to their installation due to their impact upon the landscape. To date, no international guidelines exist to guide quantitative visual impact assessment of these facilities, making the planning process somewhat subjective. In this paper we demonstrate the development of a method and an Open Source GIS tool to quantitatively assess the visual impact of these facilities using line-of-site techniques. The methods here build upon previous studies by (i) more accurately representing the shape of energy producing facilities, (ii) taking into account the distortion of the perceived shape and size of facilities caused by the location of the observer, (iii) calculating the possible obscuring of facilities caused by terrain morphology and (iv) allowing the combination of various facilities to more accurately represent the landscape. The tool has been applied to real and synthetic case studies and compared to recently published results from other models, and demonstrates an improvement in accuracy of the calculated visual impact of facilities. The tool is named r.wind.sun and is freely available from GRASS GIS AddOns.

Annalisa Minelli; Ivan Marchesini; Faith E. Taylor; Pierluigi De Rosa; Luca Casagrande; Michele Cenci

2014-01-01T23:59:59.000Z

364

NREL: International Activities - India Solar Resource Maps  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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

365

Neogeography and GIS, it's not one or the other  

E-Print Network [OSTI]

Neogeography GIS Andrew Turner vs.and A Brief History of Cartography *IANAH * Storytelling Ephemeral Maps Navigation http://flickr.com/photos/iguanajo/53322482/ Navigation 1492 - Columbus sails the ocean blue Cartographic Renaissance • So...StreetMap Recap • Explanation • Exploration • Navigation • Urbanization • Digitization• Democratization “GIS is dead.” Tim Bowden Mapforge Geospatial @ FOSS4G 2007 Association for Geographic Information http://flickr.com/photos/diskostu/115439135/ Those who fail...

Turner, Andrew

2007-11-14T23:59:59.000Z

366

Integrating GIS and GPS in environmental remediation oversight  

SciTech Connect (OSTI)

This paper presents findings on Ohio EPA Office of Federal Facilities Oversight`s (OFFO) use of GIS and GPS for environmental remediation oversight at the U.S. Department of Energy`s (DOE) Fernald Site. The Fernald site is a former uranium metal production facility within DOE`s nuclear weapons complex. Significant uranium contamination of soil and groundwater is being remediated under state and federal regulations. OFFO uses GIS/GPS to enhance environmental monitoring and remediation oversight. These technologies are utilized within OFFO`s environmental monitoring program for sample location and parameter selection, data interpretation and presentation. GPS is used to integrate sample data into OFFO`s GIS and for permanently linking precise and accurate geographic data to samples and waste units. It is important to identify contamination geographically as all visual references (e.g., buildings, infrastructure) will be removed during remediation. Availability of the GIS allows OFFO to perform independent analysis and review of DOE contractor generated data, models, maps, and designs. This ability helps alleviate concerns associated with {open_quotes}black box{close_quotes} models and data interpretation. OFFO`s independent analysis has increased regulatory confidence and the efficiency of design reviews. GIS/GPS technology allows OFFO to record and present complex data in a visual format aiding in stakeholder education and awareness. Presented are OFFO`s achievements within the aforementioned activities and some reasons learned in implementing the GIS/GPS program. OFFO`s two years of GIS/GPS development have resulted in numerous lessons learned and ideas for increasing effectiveness through the use of GIS/GPS.

Kaletsky, K.; Earle, J.R.; Schneider, T.A. [Ohio EPA, Dayton, OH (United States)

1996-12-31T23:59:59.000Z

367

Geographic Information Systems (GIS) Mapping Contest at Boston College Students are invited to present their GIS Mapping work as part of a campus-wide celebration of geospatial  

E-Print Network [OSTI]

Geographic Information Systems (GIS) Mapping Contest at Boston College Students are invited to present their GIS Mapping work as part of a campus-wide celebration of geospatial research at Boston in project 5. Your name Submissions will be judged on: · Quality of the map · Appropriate use of GIS

Huang, Jianyu

368

Using Free and Open Source GIS to Automatically Create Standards-Based Spatial Metadata in Academia Using Free and Open Source GIS to  

E-Print Network [OSTI]

Using Free and Open Source GIS to Automatically Create Standards-Based Spatial Metadata in Academia Using Free and Open Source GIS to Automatically Create Standards-Based Spatial Metadata in Academia.ellul@ucl.ac.uk Abstract The importance of understanding the quality of data used in any GIS operation has increased

Köbben, Barend

369

POSITION AVAILABLE: GIS/Remote Sensing Technician at UW-Madison Overview: A new position for a remote sensing and GIS technician is available in the  

E-Print Network [OSTI]

POSITION AVAILABLE: GIS/Remote Sensing Technician at UW-Madison Overview: A new position for a remote sensing and GIS technician is available in the Department of Forest and Wildlife Ecology imagery, especially from Landsat and MODIS sensors, and to acquire and process GIS datasets

Mladenoff, David

370

Using GIS to Solve Problems, 9 a.m., 15 August 2014 William "Max" Dieber, Director; Nina Savar, GIS Coordinator maxdbr@uic.edu nsavar@uic.edu  

E-Print Network [OSTI]

Using GIS to Solve Problems, 9 a.m., 15 August 2014 Page 1 William "Max" Dieber, Director; Nina Savar, GIS Coordinator maxdbr@uic.edu nsavar@uic.edu Urban Data Visualization Laboratory, UIC variables on the landscape. Today we will use GIS to screen an area for the viability of a recycling market

Illinois at Chicago, University of

371

Assess in-depth contributions of selected scenarios to goals...  

Open Energy Info (EERE)

Resource Assessment (SWERA) SolarDS Stochastic Energy Deployment System (SEDS) System Advisor Model (SAM) Tool for Rapid Assessment of City Energy (TRACE) UNDP-Energy Costing Tool...

372

Solar Easements  

Broader source: Energy.gov [DOE]

New Jersey law provides for the creation of solar easements to ensure that proper sunlight is available to those who operate solar-energy systems. The term "solar energy device" is not defined by...

373

Solar Easements  

Broader source: Energy.gov [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...

374

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

E-Print Network [OSTI]

locate/he A GIS-based assessment of coal-based hydrogenGIS is used to calculate the shortest distance pathways between each coalGIS is used to identify the shortest distance pathways between all the coal

Johnson, Nils; Yang, Christopher; Ogden, J

2009-01-01T23:59:59.000Z

375

GIS-multicriteria decision analysis for landslide susceptibility mapping: comparing three methods for the Urmia lake basin, Iran  

Science Journals Connector (OSTI)

The GIS-multicriteria decision analysis (GIS-MCDA) technique is increasingly used for landslide hazard mapping and zonation. It enables the integration of ... of uncertainty. In this study, three different GIS-MC...

Bakhtiar Feizizadeh; Thomas Blaschke

2013-02-01T23:59:59.000Z

376

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, 2010–information 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

377

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

378

Boston, Massachusetts: Solar in Action (Brochure)  

SciTech Connect (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

379

Community Shared Solar with Solarize  

Broader source: Energy.gov [DOE]

An overview of the concept behind The Solarize Guidebook, which offers neighborhoods a plan for getting volume discounts when making group purchases of rooftop solar energy systems.

380

Presented in Concord, Conway, Lee & Plymouth by the UNHCE Geospatial Outreach Program ArcGIS Intro Workshops March to June 2012  

E-Print Network [OSTI]

, Plymouth, NH Topics covered: ArcGIS 10 Exploring GIS maps GIS techniques $99 Skill level: Fundamentals maps GIS techniques GIS data maintenance $495 standard, $349 reduced Skill level: Fundamentals Learn; import data into ArcGIS, design maps using layouts phone: 603.862.1029 web: http://gisworkshops.org email

New Hampshire, University of

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

Remote Sensing and GIS Approach for Water-Well Site Selection, Southwest Iran  

Science Journals Connector (OSTI)

...Remote Sensing and GIS, Shahid Chamran University, Ahvaz, Iran 2 Department of Geology, Shahid Chamran University, Ahvaz, Iran 3 Department of Remote Sensing and GIS, Shahid Chamran University, Ahvaz, Iran 4 Kentucky Geological...

KAZEM RANGZAN; ABASS CHARCHI; EHSAN ABSHIRINI; JAMES DINGER

382

Using GIS Tainted Glasses to Help Subdivide the Ogallala/High Plains Aquifer in Kansas  

E-Print Network [OSTI]

Using GIS Tainted Glasses to Help Subdivide the Ogallala/High Plains Aquifer Brownie Wilson Geohydrology Section Kansas Geological Survey University of Kansas 12th Annual GIS Day @ KU November 20, 2013 The High Plains Aquifer Kansas Geological...

Wilson, Brownie

2013-11-20T23:59:59.000Z

383

An Alternate Career Choice for the Geography Major: Map, GIS, or Geographic Information Librarianship  

E-Print Network [OSTI]

The field of Map, GIS and Geographic Information Librarianship has expanded over the past decade. This expansion is due in part to the addition of GIS dataset collections in many university libraries, specialized government or corporate information...

Weimer, Kathy

2007-11-03T23:59:59.000Z

384

Grid-Based Population Distribution Estimates from Historical Japanese Topograhical Maps Using GIS  

Science Journals Connector (OSTI)

Recently, with the rapid progress in Geographical Information Systems (GIS) and their related fields, data previously ... geographic tool. In addition, the use of GIS in economics, sociology, archaeology and huma...

Yoshio Arai; Shiro Koike

2002-01-01T23:59:59.000Z

385

Philadelphia, Pennsylvania: Solar in Action (Brochure), Solar...  

Broader source: Energy.gov (indexed) [DOE]

(Brochure), Solar America Cities, Energy Efficiency & Renewable Energy (EERE) Boston Massachusetts: Solar in Action (Brochure), Solar America Cities, Energy Efficiency &...

386

An Alternate Career Choice for the Geography Major: Map, GIS, Geographic Information Librarianship  

E-Print Network [OSTI]

SWAAG 2007 An Alternate Career Choice for the Geography Major: Map, GIS, Geographic Information Librarianship Katherine H. Weimer Texas A&M University Libraries k-weimer@tamu.edu Map and GIS Projects in Texas Libraries Portal to Texas...} Global Planner World-wide GIS data set available to view, select and display using ArcIMS. http://library.tamu.edu ( Collections ( General Collections ( Maps ( Tobin Global Planner University of Texas at Arlington, Geographic Information Systems http://library.uta.edu/gis...

Weimer, Katherine

2007-11-03T23:59:59.000Z

387

Solar Keymark Testing of Solar Thermal Products  

Science Journals Connector (OSTI)

The Solar Keymark is the official CEN certification scheme for thermal solar collectors and factory made thermal solar systems. The Solar Keymark requires that the products fulfil the...

Harald Drück; Stephan Fischer…

2009-01-01T23:59:59.000Z

388

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,

389

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

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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

390

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

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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.

391

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

392

Applications of GIS in mineral extraction and hazardous waste planning  

SciTech Connect (OSTI)

Geographic Information Systems (GIS) are powerful application tools for mining, mine permitting, and mine reclamation. A GIS is a computer based system which can capture, store, edit, manipulate, integrate and display on a map multiple {open_quotes}layers{close_quotes} of data as geographic reference material. With GIS, both mine maps and large numbers of spatially related data files can be kept continuously updated. The interactive capabilities of different mapped and filed information create new capabilities for environmental management at mine sites. Information required for mine feasibility assessments and environmental impact studies can be stored and manipulated in both tabular and map formats. Land ownership, land use, soils and vegetation can be stored separately and output in any combination of overlays. Topography, geology, hydrology, overburden thickness and piezometric surface elevations can be added to the data base and mapped.

Richardson, D. [GeoResearch Inc., Billings, MT (United States)

1990-12-31T23:59:59.000Z

393

A GIS approach for predicting prehistoric site locations.  

SciTech Connect (OSTI)

Use of geographic information system (GIS)-based predictive mapping to locate areas of high potential for prehistoric archaeological sites is becoming increasingly popular among archaeologists. Knowledge of the environmental variables influencing activities of original inhabitants is used to produce GIS layers representing the spatial distribution of those variables. The GIS layers are then analyzed to identify locations where combinations of environmental variables match patterns observed at known prehistoric sites. Presented are the results of a study to locate high-potential areas for prehistoric sites in a largely unsurveyed area of 39,000 acres in the Upper Chesapeake Bay region, including details of the analysis process. The project used environmental data from over 500 known sites in other parts of the region and the results corresponded well with known sites in the study area.

Kuiper, J. A.; Wescott, K. L.

1999-08-04T23:59:59.000Z

394

Designing a Human-Centered, Multimodal GIS Interface to Support Emergency Management  

E-Print Network [OSTI]

, decision makers do not always have the real time information they need; GIS analysts produce maps to work collaboratively, using GIS for hazard mapping and visualiza- tion as well as for improvingDesigning a Human-Centered, Multimodal GIS Interface to Support Emergency Management Ingmar

Klippel, Alexander

395

Gis predictive mapping of terrestrial gamma radiation in the Northern state, Sudan  

Science Journals Connector (OSTI)

......53 to 65 microSv y1. Using GIS, prediction maps for concentrations of 238U...geographical information system (GIS) predictive maps for activity concentration of...complex. On the other hand, GIS predictive map for 137Cs activity concentration......

E. Hamed Bashier; I. Salih; A. Khatir Sam

2012-09-01T23:59:59.000Z

396

preprint -forthcoming in Progress in Human Geography Cartography, GIS, and the World Wide Web  

E-Print Network [OSTI]

). Web-based cartography and GIS is at an early stage of development. Even so, the nature of maps of knowledge in the field is probably down to a matter of months." Web sites featuring mapping and GIS at least three fundamental mechanisms: (1) by dramatically increasing the applications of mapping and GIS

Klippel, Alexander

397

GIS&T Professional Ethics Project GEO 599 Initial Student Survey  

E-Print Network [OSTI]

1 GIS&T Professional Ethics Project GEO 599 Initial Student Survey A. Personal Information 1. Name familiar with the Code of Ethics by the GIS Certification Institute. 2. I am familiar with the Rules of Conduct by the GIS Certification Institute. 3. To what extent should ethics education be a required

Wright, Dawn Jeannine

398

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

E-Print Network [OSTI]

Historical GIS as a Platform for Public Memory at Mammoth Cave National Park Katie Algeo*, Western University, USA #12;Historical GIS as a Platform for Public Memory at Mammoth Cave National Park ABSTRACT The Mammoth Cave Historical GIS (MCHGIS) fosters new understandings of a national park landscape as a historic

Young, Terence

399

MONO-TEMPORAL GIS UPDATE ASSISTANCE SYSTEM BASED ON UNSUPERVISED COHERENCE ANALYSIS AND EVOLUTIONARY OPTIMISATION  

E-Print Network [OSTI]

MONO-TEMPORAL GIS UPDATE ASSISTANCE SYSTEM BASED ON UNSUPERVISED COHERENCE ANALYSIS-automation ABSTRACT: Data in Geo Information Systems (GIS) is used for map services and various applications. Thus-automatically analyse up-to-date satellite image data to narrow down areas that have to be considered for GIS updates

400

GIS Programming Practicuum 2 credits, Monday 4:00-5:20  

E-Print Network [OSTI]

GIS Programming Practicuum Geo 599 2 credits, Monday 4:00-5:20 CRN: 18970 Using Python scripting with ArcGIS New Course for Fall 2009 Instructor: Tracy Kugler Topics will include: Exporting Model Builder models as scripts Running ArcGIS geoprocessing tools in scripts Conditional and Iterative statements

Wright, Dawn Jeannine

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

July 2013 GIS Workshops in Lee, NH SPACE IS LIMITED -PRE-REGISTRATION IS REQUIRED  

E-Print Network [OSTI]

July 2013 GIS Workshops in Lee, NH SPACE IS LIMITED - PRE-REGISTRATION IS REQUIRED Registration://gisworkshops.org email: gis@unh.edu Presented at the NH Sea Grant Extension Offices in Lee by the UNHCE Geospatial Outreach Program Workshop summary: Participants learn the basics of Geographic Information System (GIS

New Hampshire, University of

402

Susan Greaves, GIS & Map Librarian, Liaison for Geography and School for Urban & Regional Planning  

E-Print Network [OSTI]

Susan Greaves, GIS & Map Librarian, Liaison for Geography and School for Urban & Regional Planning Queen's University Library 10 November 2011 GIS Data from the Queen's University Library Maps, Air Academic Use License #12;Susan Greaves, GIS & Map Librarian, Liaison for Geography and School for Urban

Abolmaesumi, Purang

403

GIS in Transit Conference October 16-17, 2013 Washington, DC  

E-Print Network [OSTI]

GIS in Transit Conference October 16-17, 2013 Washington, DC Reach this target market! Sponsorship opportunities are available. Mark Your Calendar for the GIS in Transit Conference, October 16-17, 2013 planners, managers, researchers and GIS industry experts who are interested in sharing ways to use

404

GIS applications for determining the hydrographic characteristics of rivers N.Ershova, G.Frolova  

E-Print Network [OSTI]

GIS applications for determining the hydrographic characteristics of rivers N.Ershova, G. As a rule, it is connected to the use of geo-information technologies (GIS-technologies), which give greater scale, is a real challenge. GIS technologies, using map distance measuring probabilities enable speedier

Richner, Heinz

405

Developing a GIS tool to assess potential damage of future floods J. Eleutrio1,2  

E-Print Network [OSTI]

Developing a GIS tool to assess potential damage of future floods J. Eleutério1,2 , D. Martinez1. Geographic Information System (GIS) technology plays a crucial role on flood risk analyses. On one hand. On the other hand, this data must be combined in order to evaluate flood risk. Even though the role of GIS

Boyer, Edmond

406

GIS for archaeoastronomy studies El Hadi Khoumeri, Ghjasippina Thury-Bouvet,  

E-Print Network [OSTI]

GIS for archaeoastronomy studies El Hadi Khoumeri, Ghjasippina Thury-Bouvet, Jean-François Santucci a 360° view of an horizon using a GIS ; (ii) the integration of the previous view into a commercial using a GIS ; the integration of the previous view into a commercial software dedicated to astronomy

Paris-Sud XI, Université de

407

Using GIS to Study Pollutant Source Function in Passaic River System, New Jersey  

E-Print Network [OSTI]

Using GIS to Study Pollutant Source Function in Passaic River System, New Jersey Huan Feng1 Information Systems (GIS) to map the distributions of contaminants in the sediments. This study is designed in the Passaic River system using GIS methods. The results are expected to be vital in developing environmental

Brookhaven National Laboratory

408

GOOGLE AND GIS INTEGRATED ON THE ARM WEBSITE: A WORK IN PROGRESS  

E-Print Network [OSTI]

GOOGLE AND GIS INTEGRATED ON THE ARM WEBSITE: A WORK IN PROGRESS A. Cialella and R. Wagener to zoom in at varying resolutions, with satellite images and/or street maps as backdrops. The ACRF GIS (ESRI ArcGIS) database was merged with Google to include markers for the SGP site facilities. A new SGP

409

Predicting travel costs for recreational visits at aquatic sites within the Caribbean National Forest using GIS  

E-Print Network [OSTI]

Forest using GIS Brent M. Read, Melinda J. Laituri* Colorado State University, Department of Forest Systems (GIS) provide an ideal environment for studying the spatial patterns by which people choose to visit various recreation sites. Cost surface models, developed in a GIS, can estimate the amount

410

Concepts in GIS NR 505 Fall 2010 Department of Forestry, Rangelands, and Watershed Stewardship  

E-Print Network [OSTI]

1 Concepts in GIS NR 505 Fall 2010 Department of Forestry, Rangelands, and Watershed Stewardship is designed to introduce graduate students to concepts in geographic information systems (GIS). The purpose of the course is threefold, to: 1) Examine the broad research context in which GIS is adopted and used through

Boone, Randall B.

411

SEMI-AUTOMATIC VERIFICATION OF GEODATA FOR QUALITY MANAGEMENT AND UPDATING OF GIS  

E-Print Network [OSTI]

SEMI-AUTOMATIC VERIFICATION OF GEODATA FOR QUALITY MANAGEMENT AND UPDATING OF GIS P. Helmholz a WORDS: Automation, Change Detection, GIS, Quality, Updating ABSTRACT: The usefulness and acceptance of quality management, and furthermore, of the update of geodata systems (GIS). The presented system compares

412

June 2013 GIS Workshops in Plymouth, NH SPACE IS LIMITED -PRE-REGISTRATION IS REQUIRED  

E-Print Network [OSTI]

June 2013 GIS Workshops in Plymouth, NH SPACE IS LIMITED - PRE-REGISTRATION IS REQUIRED. phone: 603.862.1029 web: http://gisworkshops.org email: gis@unh.edu Presented at the Whole Village: Participants learn the basics of Geographic Information System (GIS) mapping software and explore a variety

New Hampshire, University of

413

A multi-level approach to the integration of traffic data within GIS  

E-Print Network [OSTI]

A multi-level approach to the integration of traffic data within GIS Kalin Penev, Christophe systems are designed and used in many application fields. Geographical Information Systems (GIS) have now challenges for GIS is to generate a corporate resource whose full potential will be achieved by making

Bargiela, Andrzej

414

A New Framework for the Integration, Analysis and Visualisation of Urban Traffic Data Within GIS  

E-Print Network [OSTI]

1 A New Framework for the Integration, Analysis and Visualisation of Urban Traffic Data Within GIS environment for the visualisation of urban traffic data within GIS. These concepts provide a relevant support Systems (GIS) have been adopted as a successful solution by a wide range of disciplines

Bargiela, Andrzej

415

Binational GIS database of coastal wetlands for Lake Ontario and the St. Lawrence: a demonstration project  

E-Print Network [OSTI]

Binational GIS database of coastal wetlands for Lake Ontario and the St. Lawrence: a demonstration In this project, I assembled a seamless binational GIS database that contains all available shapefiles of coastal (Wetland Inventory for Research and Education) website (http://www.wirenet.info). GIS was used to quantify

McMaster University

416

ADVANCED DIGITAL TERRAIN ANALYSIS USING ROUGNESS-DISSECTIVITY PARAMETERS IN GIS  

E-Print Network [OSTI]

1 ADVANCED DIGITAL TERRAIN ANALYSIS USING ROUGNESS-DISSECTIVITY PARAMETERS IN GIS Peter P. Siska is to develop new methods and procedures for terrain analyses within a GIS environment. The focus is to develop characteristics in one unified package and programmed in GIS using the ARC Macro Language (AML). The digital

Hung, I-Kuai

417

Geospatial Optimization of Siting Large-Scale Solar Projects  

SciTech Connect (OSTI)

Recent policy and economic conditions have encouraged a renewed interest in developing large-scale solar projects in the U.S. Southwest. However, siting large-scale solar projects is complex. In addition to the quality of the solar resource, solar developers must take into consideration many environmental, social, and economic factors when evaluating a potential site. This report describes a proof-of-concept, Web-based Geographical Information Systems (GIS) tool that evaluates multiple user-defined criteria in an optimization algorithm to inform discussions and decisions regarding the locations of utility-scale solar projects. Existing siting recommendations for large-scale solar projects from governmental and non-governmental organizations are not consistent with each other, are often not transparent in methods, and do not take into consideration the differing priorities of stakeholders. The siting assistance GIS tool we have developed improves upon the existing siting guidelines by being user-driven, transparent, interactive, capable of incorporating multiple criteria, and flexible. This work provides the foundation for a dynamic siting assistance tool that can greatly facilitate siting decisions among multiple stakeholders.

Macknick, J.; Quinby, T.; Caulfield, E.; Gerritsen, M.; Diffendorfer, J.; Haines, S.

2014-03-01T23:59:59.000Z

418

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

419

Development of a GIS as an analytical tool for instream flow determinations: Two case studies  

SciTech Connect (OSTI)

While many standard applications of Geographical Information Systems (GIS) software involve production of maps and overlays useful for planning and resource management, it also offers powerful analytical capabilities. These attributes of GIS can be useful in impact assessment, mitigation planning, and resource enhancement associated with the relicensing of hydroelectric projects. This paper describes two such applications where GIS was integrated into instream flow investigations. The first involves the application of GIS mapping techniques to develop functional relationships between streamflow and foraging habitat for bald eagles. In the second application, GIS is used to evaluate boating suitability at critical passage areas under different river flows.

Hanson, D.F. [EA Engineering, Science, and Technology, Lafayette, CA (United States); Running, S.K. [Pacific Gas and Electric Co., San Ramon, CA (United States); Leonard, P.M. [EDAW, Inc., Atlanta, GA (United States)

1995-12-31T23:59:59.000Z

420

Solar Energy  

Science Journals Connector (OSTI)

There are major advantages to using solar energy for a variety of energy needs including electrical generation and space heating. The availability of solar radiation is extremely high in some localities of the...

Charles E. Brown Ph.D.

2002-01-01T23:59:59.000Z

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.


421

Solar Easements  

Broader source: Energy.gov [DOE]

Idaho’s 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...

422

Solar Easements  

Broader source: Energy.gov [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...

423

Solar Easements  

Broader source: Energy.gov [DOE]

Rhode Island allows property owners to establish solar easements in the same manner and with the same effect as a conveyance of an interest in real property. Solar easements must be created in...

424

Solar Easements  

Broader source: Energy.gov [DOE]

Ohio's solar-easement provisions are similar to those in effect in other states. Ohio law allows property owners to create binding solar easements for the purpose of protecting and maintaining...

425

Solar Easements  

Broader source: Energy.gov [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...

426

Montana State University 1 GIS/Planning Option  

E-Print Network [OSTI]

and economic geography, tourism and recreational planning, and in the politics of development. Students also of excellent GIS facilities, lab space, expertise, and software available on campus and allows students to learn in an active hands-on environment. Students are prepared as map makers (cartographers) spatial

Maxwell, Bruce D.

427

GIS application to bird conservation in Puerto Rico  

E-Print Network [OSTI]

The conservation of these sites will ensure the preservation of the island's biodiversity #12;AcknowledgementsGIS application to bird conservation in Puerto Rico Idelfonso Ruiz, Adrianne Tossas and Ilse assess areas of high ecological value promote the conservation and management of species

Gilbes, Fernando

428

Mobile Geographic Information Systems (GIS) for Humanitarian Demining  

E-Print Network [OSTI]

this goal, surveys of hazardous areas, describing their location and contents, are used to produce threat maps for a given location and secure adequate funding from donor organizations for clearance operations. The focus of this study is a mobile GIS system...

Dunbar, Matthew D.

2010-04-27T23:59:59.000Z

429

Geographic Information System (GIS) in Natural Resources Spring 2009  

E-Print Network [OSTI]

:00-12:50PM, Forestry 205 Laboratories: Section 021 Monday 4:00-6:30PM, Forestry 205 & 108 Section 022 #12;Software: ESRI ArcGIS Desktop 9.3 with ArcInfo Workstation license. Lecture Assignments: Ten

Hung, I-Kuai

430

Solar energy  

Science Journals Connector (OSTI)

... good book and certainly can be recommended as an introductory text for a course on solar ...solarenergy ...

D.O. Hall

1980-02-28T23:59:59.000Z

431

Lower granite GIS data description and collection guidelines  

SciTech Connect (OSTI)

The Lower Granite Geographic Information System (GIS) was developed jointly by the US Army Corps of Engineers (USCOE) Walla Walla District and the Pacific Northwest Laboratory (PNL). The goal of the project is to use GIS technology to analyze impacts of the drawdown mitigation option on the physical and biological environment of the Lower Granite Reservoir. The drawdown mitigation option is based on the hypothesis that faster juvenile salmon travel to the ocean would result in higher juvenile survival and greater smolt-to-adult return ratios; to accomplish this, reservoir elevations would be lowered to increase channel velocities. Altering the elevation of the reservoirs on the Snake River is expected to have a variety of impacts to the Physical environment including changes to water velocity, temperature, dissolved gases, and turbidity. The GIS was developed to evaluate these changes and the resulting impacts on the anadromous and resident fish of the Snake River, as well as other aquatic organisms and terrestrial wildlife residing in the adjacent riparian areas. The Lower Granite GIS was developed using commercial hardware and software and is supported by a commercial relational database. Much of the initial system development involved collecting and incorporating data describing the river channel characteristics, hydrologic properties, and aquatic ecology. Potentially meaningful data for the Lower Granite GIS were identified and an extensive data search was performed. Data were obtained from scientists who are analyzing the habitats, limnology, and hydrology of the Snake River. The next six sections of this document describe the bathymetry, fish abundance, substrate, sediment chemistry, and channel hydrology data.

Gordon, J.L.; Evans, B.J.; Perry, E.M.

1995-12-01T23:59:59.000Z

432

Solar Power  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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.

433

TITIM GIS-tool: A GIS-based decision support system for measuring the territorial impact of transport infrastructures  

Science Journals Connector (OSTI)

Abstract To achieve sustainability in the area of transport we need to view the decision-making process as a whole and consider all the most important socio-economic and environmental aspects involved. Improvements in transport infrastructures have a positive impact on regional development and significant repercussions on the economy, as well as affecting a large number of ecological processes. This article presents a DSS to assess the territorial effects of new linear transport infrastructures based on the use of GIS. The TITIM – Transport Infrastructure Territorial Impact Measurement – GIS tool allows these effects to be calculated by evaluating the improvement in accessibility, loss of landscape connectivity, and the impact on other local territorial variables such as landscape quality, biodiversity and land-use quality. The TITIM GIS tool assesses these variables automatically, simply by entering the required inputs, and thus avoiding the manual reiteration and execution of these multiple processes. TITIM allows researchers to use their own GIS databases as inputs, in contrast with other tools that use official or predefined maps. The TITIM GIS-tool is tested by application to six HSR projects in the Spanish Strategic Transport and Infrastructure Plan 2005–2020 (PEIT). The tool creates all 65 possible combinations of these projects, which will be the real test scenarios. For each one, the tool calculates the accessibility improvement, the landscape connectivity loss, and the impact on the landscape, biodiversity and land-use quality. The results reveal which of the HSR projects causes the greatest benefit to the transport system, any potential synergies that exist, and help define a priority for implementing the infrastructures in the plan.

Emilio Ortega; Isabel Otero; Santiago Mancebo

2014-01-01T23:59:59.000Z

434

A GIS-based decision support tool for renewable energy management and planning in semi-arid rural environments of northeast of Brazil  

Science Journals Connector (OSTI)

This work describes the development of a management and planning system on a GIS (Geographic Information System) platform destined to decision makers that is, administrators, planners or consultants in renewable energies. It was conceived to deal with the management and planning of solar systems, biomass and aeolics in rural regions of Brazil. The prototype of the GIS tool covers an area of 183, 500 km2 and is made up of three blocks: management of installed renewable systems, inclusion (planning) of new systems and updating of the data banks. The GISA SOL 1.0 (Geographic Information System Applied to Solar Energy) has a total of 80 layers of information that permit the realization of spatial analyses on management and planning of renewable sources of energy at macro-spatial (state) and local (municipality) levels. A description and the methodology used for its development and a description of the functionalities will be made here. The system was developed mainly for PV systems as a support tool for management and planning of the Energy Development Program for States and Municipalities (PRODEEM), a program for inclusion in large scale of solar photovoltaic energy in the rural environment, conducted by the Ministry of Mines and Energy of Brazil.

C. Tiba; A.L.B. Candeias; N. Fraidenraich; E.M. de S. Barbosa; P.B. de Carvalho Neto; J.B. de Melo Filho

2010-01-01T23:59:59.000Z

435

Abengoa Solar, Inc. (Mojave Solar) | Department of Energy  

Energy Savers [EERE]

Solar, Inc. (Mojave Solar) Abengoa Solar, Inc. (Mojave Solar) Abengoa Solar, Inc. (Mojave Solar) Location: San Bernardino County, CA Eligibility: 1705 Snapshot In September 2011,...

436

Chen, Yang, and Chen, 2005, Journal of Geographic Information Science, 11(1):61-70 EVOLUTION AND COMPUTING CHALLENGES OF DISTRIBUTED GIS  

E-Print Network [OSTI]

AND COMPUTING CHALLENGES OF DISTRIBUTED GIS X. Mara Chen Department of Geography & Geosciences Henson School(1):61-70 EVOLUTION AND COMPUTING CHALLENGES OF DISTRIBUTED GIS Abstract As a new development based on GIS and distributed computing, Distributed GIS (DGIS) was introduced and propelled by both the demands for GIS

Chen, Songqing

437

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

438

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

439

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

440

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

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

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)

442

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)

443

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)

444

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)

445

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)

446

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)

447

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

448

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

449

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)

450

Sandia National Laboratories: Solar Tower  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Solar Thermal Test Facility * NSTTF * Renewable Energy * SAND2012-8086W * solar * Solar Energy * solar power * Solar Research * Solar Tower Comments are closed. Renewable...

451

NREL: Solar Research - News Release Archives  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

6 November 30, 2006 More Than Pretty Maps-NREL Uses GIS to Find Workable Energy Solutions NREL's geographic information systems (GIS) team produces maps of renewable energy...

452

Progress Toward an Updated National Solar Radiation Data Base  

SciTech Connect (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

453

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

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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.

454

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

455

A GIS based assessment of urban sprawl in North Khobar  

Science Journals Connector (OSTI)

Urban sprawl has turn out to be an issue of worldwide interest, mainly because of its alleged negative impacts on the social, economic and environmental aspects of the city. Many studies indicate that it is the pattern, density, and rate of new urban growth that leads to sprawl. The proportion of the total population in a region to the total built-up area of the region is a measure of quantifying sprawl. This paper presents a quantitative method to analyse urban sprawl based on computation of indicators and GIS techniques. It was found out that for the study area the percentage change in the built-up area (1980-2005) was 14 times higher than the percentage change in the population growth, and also with the analysis capabilities in GIS, it determined the patterns and densities of new growth thereby classifying some of those areas as sprawl patterns.

Adel S. Al-Dosary; Feroz Khan

2010-01-01T23:59:59.000Z

456

Enhancing management decision making in global enterprises using GIS principles  

Science Journals Connector (OSTI)

Business organisations are increasing their influence and presence throughout the world as domestic economies become oversaturated. Organisations increasingly turn to international commerce to discover new markets. Globalisation requires that firms adapt their management and decision-making practices to recognise localised cultural, political, legal, social, and security requirements. In response, organisations are revamping their decision processes, tailoring them as cultures evolve, political assumptions and realities change, laws are enacted, social issues come to the forefront, and security requirements mature. Traditional decision support systems (DSS) are incapable of readily incorporating localised variables into decision-making processes and must be enhanced. Geographic Information Systems (GIS), have the potential to enhance traditional management decision-making (DSS) tools by adapting them for use in global environments. This paper proposes the melding of GIS and DSS toolsets to create a new framework, hereinafter referred to as Geographically-Enhanced Decision Support Systems (GEDSS), for enhanced management and decision-making for businesses.

A. James Wynne; Harry L. Reif; Chandrashekar D. Challa

2006-01-01T23:59:59.000Z

457

Microsoft Word - 20100706_FEMP_GIS_Inventory.docx  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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

458

Solar Physics A Journal for Solar and Solar-  

E-Print Network [OSTI]

. With society's increased dependence on space-based technology, much of which is at risk due to solar activity1 23 Solar Physics A Journal for Solar and Solar- Stellar Research and the Study of Solar-010-9653- x Solar Polar Fields During Cycles 21??? 23: Correlation with Meridional Flows #12;1 23 Your article

Padmanabhan, Janardhan

459

XML-Based Integration of GIS and Heterogeneous Tourism Information  

Science Journals Connector (OSTI)

With the tremendous growth of the Web, a broad spectrum of tourism information is already distributed over various Web sites. To fulfill the tourists request for an extensive data collection it is inevitable to make accumulated data from different sources ... Keywords: electronic data interchange (EDI), extensible markup language (XML), geographic information systems (GIS), information integration, meta data, scalable vector graphics (SVG), tourism information systems (TIS)

Franz Pühretmair; Wolfram Wöß

2001-06-01T23:59:59.000Z

460

PROBLEM, INNOVATION AND DEVELOPMENT OF GIS HIGHER EDUCATION IN OUR COUNTRY  

E-Print Network [OSTI]

Geographic Information System (GIS) is a Spatial Information Science which is interdisciplinary subject. It has aroused extensive concern in the whole world and developed rapidly. In our country, GIS technology enlightened in 1970s and 1980s, developed in 1980s, promoted in 1990s, and is popularized and extensively applied in every trade in the 21st century. Now, a relatively complete GIS education system with specifically Chinese characters has been established in China. But, along with economic development and all-round social progress and interdisciplinary subjects progress,it is a important problem to our development strategy for science and technology that how to promote innovations of GIS education and maintain a sustained, rapid and sound development so as to make GIS technology serve socialist better.In this paper, the current problems consist in GIS education in our country are

Bian Fuling A; Wang Shaohua A

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 Decathlon  

Broader source: Energy.gov (indexed) [DOE]

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

462

Solar Energy.  

E-Print Network [OSTI]

??This thesis is about Photovoltaic (PV) cells and its stresses in various directions by calculating the power generated using solar cells under different conditions to… (more)

Bafana, Ramzi

2014-01-01T23:59:59.000Z

463

Solar Mapper  

Broader source: Energy.gov [DOE]

Interactive, online mapping tool providing access to spatial data related to siting utility-scale solar facilities in the southwestern United States.

464

Solar News  

Broader source: Energy.gov (indexed) [DOE]

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

465

DEVELOPMENT OF COAL BED METHANE UTILIZING GIS TECHNOLOGIES  

SciTech Connect (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

466

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":""}]}

467

Potential of Concentrating Solar Power in Canada  

Science Journals Connector (OSTI)

Abstract In this paper, results of an analysis to assess the potential of concentrating solar thermal power applications in Canada are presented. First, a direct normal solar resource (DNI) resource map for Canada is introduced. This map indicates the locations where the DNI is the highest in Canada and is derived from the most recent Perez's SUNY satellite-based solar resource model Version number 3. Second, the methodology and results of a GIS analysis to identify the locations of the most suitable lands for concentrating solar thermal power (CSP) applications in Canada are discussed. The total areas of the CSP-suitable lands are presented in a tabulated and a map formats for each of the Canadian provinces where there is a maximum DNI solar resource. Third and finally, results of a technical economical analysis for two CSP system designs are discussed. The two CSP systems considered include parabolic trough with synthetic oil heat transfer fluid with and without storage, molten salt power tower with and without storage.

R. Djebbar; D. Belanger; D. Boutin; E. Weterings; M. Poirier

2014-01-01T23:59:59.000Z

468

Web GIS in practice IV: publishing your health maps and connecting to remote WMS sources using the Open Source UMN MapServer and DM Solutions MapLab  

Science Journals Connector (OSTI)

Open Source Web GIS software systems have reached a stage of ... user friendliness rivalling that of commercial, proprietary GIS and Web GIS server products. The Open Source Web GIS community is also actively emb...

Maged N Kamel Boulos; Kiyoshi Honda

2006-01-01T23:59:59.000Z

469

Use of GIS as a Real Time Decision Support System for Irrigation Districts  

E-Print Network [OSTI]

The use of GIS as a Real Time Decision Support System for Irrigation Districts Gabriele Bonaiti & Guy Fipps, P.E. Texas A&M AgriLife Extension Service, Biological & Agricultural Engineering Texas Water Resources Institute TR-435 December 2012... USE OF GIS AS A REAL TIME DECISION SUPPORT SYSTEM FOR IRRIGATION DISTRICTS Rio Grande Basin Initiative Irrigation Technology Program Texas A&M AgriLife Extension Service USE OF GIS AS A REAL TIME DECISION SUPPORT...

Bonaiti, G.; Fipps, G.

470

GIS Ostrava 2013 21. 23. 1. 2013, Ostrava URBANISMUS PODPORUJC ROLI TRAMVAJOV DOPRAVY.  

E-Print Network [OSTI]

GIS Ostrava 2013 21. ­ 23. 1. 2013, Ostrava URBANISMUS PODPORUJÍCÍ ROLI TRAMVAJOV� DOPRAVY. ANALÝZA, komfort a citelnost). Analýzy jsou provedeny v prostedí GIS prostednictvím metod síové analýzy a mapové areas. The analyses are carried out with GIS methods (network analyses). Data availability for the Czech

Paris-Sud XI, Université de

471

UW-Madison MS-Cart/GIS. Geography Degree Plan The Student, Thesis Advisor and Sub-Area Counselor should sign below, indicating agreement about the  

E-Print Network [OSTI]

UW-Madison MS-Cart/GIS. Geography Degree Plan ­ Fall 2010 The Student, Thesis Advisor and Sub guarantee= _____semesters Cum GPA = _________ Started MS-Cart/GIS _____________ cum credits = ________ BA 370 (Intro Cart) __________________ Geography 377 (Intro GIS) __________________ Geography 378

Wisconsin at Madison, University of

472

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

473

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

SciTech Connect (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

474

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

475

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

476

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

477

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

478

APPLICATION OF INTERNET GIS TOOLS FOR HERITAGE MANAGEMENT: ARKAS CASE STUDY  

E-Print Network [OSTI]

open society. It has to constantly renew and modernize its informational infrastructure : Romania (2006)" #12;Application of internet GIS tools for heritage management: ARKAS case study 1

479

E-Print Network 3.0 - activity gis coding Sample Search Results  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

code Visit... )" The Authorization Wizard will prompt you for an authorization code; enter your activated code. Support for the ArcGIS... After ... Source: Ronquist, Fredrik -...

480

GIS package on mineral deposits database and thematic maps of Central Eurasia  

Science Journals Connector (OSTI)

The GIS (Geographic Information System) Central Asia is composed of spatially referenced geographical, geological, geophysical, geochemical and mineral deposit thematic layers, and their respective attribute d...

R. Seltmann; V. Shatov; G. Guriev…

2005-01-01T23:59:59.000Z

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.


481

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 ĺ inkorporere disse slik at vellykket bevisstgjřring og beslutningstakning… (more)

Skivenes, Ida

2009-01-01T23:59:59.000Z

482

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

483

An assessment of using least squares adjustment to upgrade spatial data in GIS.  

E-Print Network [OSTI]

??The GIS Industry has digitised cadastre from the best available paper maps over the last few decades, incorporating the inherent errors in those paper maps… (more)

Merritt, Roger

2005-01-01T23:59:59.000Z

484

Public health decision making: the value of geographical information systems (GIS) mapping.  

E-Print Network [OSTI]

??Technologies such as geographical information systems (GIS) have emerged during the past two decades as part of the Information Revolution and include functions such as… (more)

Joyce, Kerry Eloise

2007-01-01T23:59:59.000Z

485

DOE Solar Decathlon: Solar Decathlon Videos  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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

486

Solar Power  

Science Journals Connector (OSTI)

...of desert solar energy farm with 30 percent conversion...85 percent of the solar farm energy now reflected back...Washington, D.C. 20550. Wind Power Martin Wolf (19...counting the cost of the offshore platforms, would thus...15 billion. If these wind generators were placed...

Paul E. Damon

1974-08-09T23:59:59.000Z

487

) &%102435768!9@ 0A BDCFE!GIHQPSRUTFVWHQE!X`Ybadcfehgdiqpa7CFE4r GIs7Vtc7i!ubaGwvSHQaEWHQadci@CFEWxy8GIsQTFabVWHQE!CFadc  

E-Print Network [OSTI]

!GIHQPSRUTFVWHQE!X`Ybadcfehgdiqp¤a7CFE4r GIs7Vtc7i!uba§GwvSHQa§EWHQadci@CFEWxy8GIsQTFabVWHQE!CFadc cGP7CFE4©1HQ p

Cohen-Or, Daniel

488

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 fĂĽr 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

489

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 fĂĽr 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

490

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

491

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

492

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

493

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

494

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 fĂĽr 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

495

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

496

SPATIAL DATA ANALYSIS WITH GIS: AN INTRODUCTION TO APPLICATION IN THE SOCIAL  

E-Print Network [OSTI]

SPATIAL DATA ANALYSIS WITH GIS: AN INTRODUCTION TO APPLICATION IN THE SOCIAL SCIENCES by Luc). #12;SPATIAL DATA ANALYSIS WITH GIS: AN INTRODUCTION TO APPLICATION IN THE SOCIAL SCIENCES INTRODUCTION What is Special About Spatial Data? An attention to location, spatial interaction, spatial structure

California at Santa Barbara, University of

497

Spatial data analysis of regional development in Greater Beijing, China, in a GIS environment*  

E-Print Network [OSTI]

Spatial data analysis of regional development in Greater Beijing, China, in a GIS environment: Regional development, GIS, exploratory spatial data analysis, spatial regression, Greater Beijing 1@geog.utah.edu) Received: 2 May 2005 / Accepted: 20 October 2006 Abstract. This study investigates spatial dependence

Wei, Yehua Dennis

498

Integrating GIS and Spatial Thinking into K-12 Curriculum Pedagogy Teacher Perspective  

E-Print Network [OSTI]

Energy Potential for the World and Total Energy Consumption Figure 3. Total Energy Consumption per State of GIS in learning energy resources 2. Design and develop an activity involving primary data collection in the U.S. and types and amounts of Energy The six week summer research resulted in acquiring basic GIS

499

UPDATED AND IMPROVED ACRF GIS DATA AND MAPS A. Cialella and R. Wagener  

E-Print Network [OSTI]

UPDATED AND IMPROVED ACRF GIS DATA AND MAPS A. Cialella and R. Wagener For presentation at the ARM and improvements to the ACRF geographic information system (GIS) database will be presented, including land use, and hydrography. Ultimately the data will be used to create hyperlinked maps on the ARM Web page, with each

500

Mapping ecosystem services: Practical challenges and opportunities in linking GIS and value transfer  

E-Print Network [OSTI]

Mapping ecosystem services: Practical challenges and opportunities in linking GIS and value and service type for each case study. GIS analysis was then used to map the spatial distribution of each cover and to map results for three case studies representing a diversity of spatial scales and locations: 1

Vermont, University of