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1

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

2

Risoe DTU | Open Energy Information  

Open Energy Info (EERE)

Risoe DTU Risoe DTU (Redirected from Technical University of Denmark (DTU)) Jump to: navigation, search Logo: Risoe DTU Name Risoe DTU Address Frederiksborgvej 399 P.O. Box 49 DK-4000 Roskilde Place Roskilde, Denmark Phone number +45 4677 4677 Website http://www.risoe.dtu.dk/ Coordinates 55.7297641°, 12.1238079° 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":55.7297641,"lon":12.1238079,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

3

Risoe DTU | Open Energy Information  

Open Energy Info (EERE)

Jump to: navigation, search Jump to: navigation, search Logo: Risoe DTU Name Risoe DTU Address Frederiksborgvej 399 P.O. Box 49 DK-4000 Roskilde Place Roskilde, Denmark Phone number +45 4677 4677 Website http://www.risoe.dtu.dk/ Coordinates 55.7297641°, 12.1238079° 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":55.7297641,"lon":12.1238079,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

4

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

5

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)

6

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

7

UNEP-Risoe Centre | Open Energy Information  

Open Energy Info (EERE)

Centre Centre Jump to: navigation, search Logo: UNEP - Risoe Centre Name UNEP - Risoe Centre Address UNEP Risoe Centre, Risoe DTU, Bldg. 142, Frederiksborgvej 399, P.O. Box 49, DK 4000 Place Roskilde, Denmark Number of employees 11-50 Year founded 1990 Phone number +45 46 32 22 88 Coordinates 55.6414856°, 12.0804175° 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":55.6414856,"lon":12.0804175,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

8

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

9

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

10

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

11

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

12

SWERA Information Sheet (Abstract):Project...  

Open Energy Info (EERE)

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

13

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

14

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)

15

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.

16

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

17

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

18

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

19

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.

20

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

Open Energy Info (EERE)

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

Note: This page contains sample records for the topic "riso dtu 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

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

22

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.

23

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

24

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

25

DTU Informatics Profile DTU Informatics is by far the largest IT institute in  

E-Print Network (OSTI)

Research Teaching Technology DTU Informatics Profile #12;2 DTU Informatics is by far the largest. Current application topics of high importance are within climate, sustainable energy, health, and food-time systems, fault-tolerant and safety-critical systems, hardware/ software co-design, as well as a range

Mosegaard, Klaus

26

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

27

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

28

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

29

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 ...

30

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

31

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.

32

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

33

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.

34

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

35

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.

36

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.

37

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.

38

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

39

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

40

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

Note: This page contains sample records for the topic "riso dtu 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-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.

42

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

43

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

44

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.

45

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.

46

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

47

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

48

Indonesia-UNEP Risoe Technology Needs Assessment Program | Open Energy  

Open Energy Info (EERE)

Indonesia-UNEP Risoe Technology Needs Assessment Program Indonesia-UNEP Risoe Technology Needs Assessment Program Jump to: navigation, search Name Argentina-UNEP Risoe-Technology Needs Assessment Program Agency/Company /Organization UNEP-Risoe Centre Sector Energy Topics Background analysis, Low emission development planning, -Roadmap, Pathways analysis Website http://tech-action.org/ Country Indonesia South-Eastern Asia References UNEP Risoe-Technology Needs Assessment Program[1] Abstract UNEP DTIE in collaboration with the UNEP Risoe Centre will provide targeted financial, technical and methodological support to assist a total of 35 to 45 countries to conduct TNA projects Overview "Technology needs assessment (TNA) is a set of country-driven activities that identifies and determines the mitigation and adaptation technology

49

Morocco-UNEP Risoe Technology Needs Assessment Program | Open Energy  

Open Energy Info (EERE)

Morocco-UNEP Risoe Technology Needs Assessment Program Morocco-UNEP Risoe Technology Needs Assessment Program Jump to: navigation, search Name Morocco-UNEP Risoe-Technology Needs Assessment Program Agency/Company /Organization UNEP-Risoe Centre Sector Energy Topics Background analysis, Low emission development planning, -Roadmap, Pathways analysis Website http://tech-action.org/ Country Morocco Northern Africa References UNEP Risoe-Technology Needs Assessment Program[1] Abstract UNEP DTIE in collaboration with the UNEP Risoe Centre will provide targeted financial, technical and methodological support to assist a total of 35 to 45 countries to conduct TNA projects Overview "Technology needs assessment (TNA) is a set of country-driven activities that identifies and determines the mitigation and adaptation technology

50

Thailand-UNEP Risoe Technology Needs Assessment Program | Open Energy  

Open Energy Info (EERE)

Thailand-UNEP Risoe Technology Needs Assessment Program Thailand-UNEP Risoe Technology Needs Assessment Program Jump to: navigation, search Name Thailand-UNEP Risoe-Technology Needs Assessment Program Agency/Company /Organization UNEP-Risoe Centre Sector Energy Topics Background analysis, Low emission development planning, -Roadmap, Pathways analysis Website http://tech-action.org/ Country Thailand South-Eastern Asia References UNEP Risoe-Technology Needs Assessment Program[1] Abstract UNEP DTIE in collaboration with the UNEP Risoe Centre will provide targeted financial, technical and methodological support to assist a total of 35 to 45 countries to conduct TNA projects Overview "Technology needs assessment (TNA) is a set of country-driven activities that identifies and determines the mitigation and adaptation technology

51

Cambodia-UNEP Risoe Technology Needs Assessment Program | Open Energy  

Open Energy Info (EERE)

Cambodia-UNEP Risoe Technology Needs Assessment Program Cambodia-UNEP Risoe Technology Needs Assessment Program Jump to: navigation, search Name Cambodia-UNEP Risoe-Technology Needs Assessment Program Agency/Company /Organization UNEP-Risoe Centre Sector Energy Topics Background analysis, Low emission development planning, -Roadmap, Pathways analysis Website http://tech-action.org/ Country Cambodia South-Eastern Asia References UNEP Risoe-Technology Needs Assessment Program[1] Abstract UNEP DTIE in collaboration with the UNEP Risoe Centre will provide targeted financial, technical and methodological support to assist a total of 35 to 45 countries to conduct TNA projects Overview "Technology needs assessment (TNA) is a set of country-driven activities that identifies and determines the mitigation and adaptation technology

52

Mali-UNEP Risoe Technology Needs Assessment Program | Open Energy  

Open Energy Info (EERE)

Mali-UNEP Risoe Technology Needs Assessment Program Mali-UNEP Risoe Technology Needs Assessment Program Jump to: navigation, search Name Mali-UNEP Risoe-Technology Needs Assessment Program Agency/Company /Organization UNEP-Risoe Centre Sector Energy Topics Background analysis, Low emission development planning, -Roadmap, Pathways analysis Website http://tech-action.org/ Country Mali Western Africa References UNEP Risoe-Technology Needs Assessment Program[1] Abstract UNEP DTIE in collaboration with the UNEP Risoe Centre will provide targeted financial, technical and methodological support to assist a total of 35 to 45 countries to conduct TNA projects Overview "Technology needs assessment (TNA) is a set of country-driven activities that identifies and determines the mitigation and adaptation technology

53

Georgia-UNEP Risoe Technology Needs Assessment Program | Open Energy  

Open Energy Info (EERE)

Georgia-UNEP Risoe Technology Needs Assessment Program Georgia-UNEP Risoe Technology Needs Assessment Program Jump to: navigation, search Name Georgia-UNEP Risoe-Technology Needs Assessment Program Agency/Company /Organization UNEP-Risoe Centre Sector Energy Topics Background analysis, Low emission development planning, -Roadmap, Pathways analysis Website http://tech-action.org/ Country Georgia References UNEP Risoe-Technology Needs Assessment Program[1] Abstract UNEP DTIE in collaboration with the UNEP Risoe Centre will provide targeted financial, technical and methodological support to assist a total of 35 to 45 countries to conduct TNA projects Overview "Technology needs assessment (TNA) is a set of country-driven activities that identifies and determines the mitigation and adaptation technology

54

Argentina-UNEP Risoe Technology Needs Assessment Program | Open Energy  

Open Energy Info (EERE)

Argentina-UNEP Risoe Technology Needs Assessment Program Argentina-UNEP Risoe Technology Needs Assessment Program Jump to: navigation, search Name Argentina-UNEP Risoe-Technology Needs Assessment Program Agency/Company /Organization UNEP-Risoe Centre Sector Climate, Energy, Land, Water Focus Area Renewable Energy, Non-renewable Energy, Agriculture, Biomass, - Waste to Energy, Industry, - Industrial Processes, Transportation Topics Adaptation, Background analysis, Low emission development planning, -Roadmap, Pathways analysis Website http://tech-action.org/index.p Program Start 2009 Program End 2013 Country Argentina South America References UNEP Risoe-Technology Needs Assessment Program[1] Abstract UNEP DTIE in collaboration with the UNEP Risoe Centre will provide targeted financial, technical and methodological support to assist a total of 35 to 45 countries to conduct TNA projects

55

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

56

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

57

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

58

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

59

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

60

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

Note: This page contains sample records for the topic "riso dtu 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

Guatemala-UNEP Risoe Technology Needs Assessment Program | Open Energy  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » Guatemala-UNEP Risoe Technology Needs Assessment Program Jump to: navigation, search Name Guatemala-UNEP Risoe-Technology Needs Assessment Program Agency/Company /Organization UNEP-Risoe Centre Sector Energy Topics Background analysis, Low emission development planning, -Roadmap, Pathways analysis Website http://tech-action.org/ Country Guatemala Central America References UNEP Risoe-Technology Needs Assessment Program[1] Abstract UNEP DTIE in collaboration with the UNEP Risoe Centre will provide targeted financial, technical and methodological support to assist a total of 35 to 45 countries to conduct TNA projects

62

UNFCCC/UNEP-Risoe CDM Bazaar | Open Energy Information  

Open Energy Info (EERE)

UNFCCC/UNEP-Risoe CDM Bazaar UNFCCC/UNEP-Risoe CDM Bazaar Jump to: navigation, search Name UNFCCC/UNEP-Risoe CDM Bazaar Agency/Company /Organization United Nations Framework Convention on Climate Change Partner UNEP-Risoe Centre Topics Finance, Market analysis Website http://www.cdmbazaar.net/ References CDM Bazaar Homepage [1] "The UNFCCC CDM Bazaar is a Web-based facility which serves as a platform for exchange of information on Clean Development Mechanism (CDM) project opportunities."[1] References ↑ 1.0 1.1 [1] Retrieved from "http://en.openei.org/w/index.php?title=UNFCCC/UNEP-Risoe_CDM_Bazaar&oldid=383423" Category: Programs What links here Related changes Special pages Printable version Permanent link Browse properties 429 Throttled (bot load) Error 429 Throttled (bot load)

63

Ris National Laboratory DTU Optics and Plasma Research Department  

E-Print Network (OSTI)

Risø National Laboratory DTU Postprint Optics and Plasma Research Department 2007 Paper: www (MAPLE) K Rodrigo1,2, J Schou1#, B Toftmann1 and R Pedrys2 1 Department of Optics and Plasma Research Department of Optics and Plasma Research, Risø National Laboratory, DK-4000 Roskilde, Denmark 2 Institute

64

Closed DTU fuel cycle with Np recycle and waste transmutation  

Science Conference Proceedings (OSTI)

A nuclear energy scenario for the 21st century that included a denatured thorium-uranium-oxide (DTU) fuel cycle and new light water reactors (LWRs) supported by accelerator-driven transmutation of waste (ATW) systems was previously described. This coupled system with the closed DTU fuel cycle provides several improvements beyond conventional LWR (CLWR) (once-through, UO{sub 2} fuel) nuclear technology: increased proliferation resistance, reduced waste, and efficient use of natural resources. However, like CLWR fuel cycles, the spent fuel in the first one-third core discharged after startup contains higher-quality Pu than the equilibrium fuel cycle. To eliminate this high-grade Pu, Np is separated and recycled with Th and U--rather than with higher actinides [(HA) including Pu]. The presence of Np in the LWR feed greatly increases the production of {sup 238}Pu so that a few kilograms of Pu generated enough alpha-decay heat that the separated Pu is highly resistant to proliferation. This alternate process also simplifies the pyrochemical separation of fuel elements (Th and U) from HAs. To examine the advantages of this concept, the authors modeled a US deployment scenario for nuclear energy that includes DTU-LWRs plus ATW`s to burn the actinides produced by these LWRs and to close the back-end of the DTU fuel cycle.

Beller, D.E.; Sailor, W.C.; Venneri, F. [Los Alamos National Lab., NM (United States); Herring, J.S. [Idaho National Engineering and Environmental Lab., ID (United States)

1999-09-01T23:59:59.000Z

65

UNEP Risoe Technology Needs Assessment Program | Open Energy Information  

Open Energy Info (EERE)

Needs Assessment Program Needs Assessment Program Jump to: navigation, search Name UNEP Risoe-Technology Needs Assessment Program Agency/Company /Organization UNEP-Risoe Centre Sector Energy Topics Background analysis, Low emission development planning, -Roadmap, Pathways analysis Website http://tech-action.org/ Country Argentina, Bangladesh, Cambodia, Costa Rica, Georgia (country), Guatemala, Indonesia, Ivory Coast, Kenya, Mali, Morocco, Peru, Senegal, Thailand, Vietnam South America, Southern Asia, South-Eastern Asia, Central America, Western Asia, Central America, South-Eastern Asia, Western Africa, Eastern Africa, Western Africa, Northern Africa, South America, Western Africa, South-Eastern Asia, South-Eastern Asia References UNEP Risoe-Technology Needs Assessment Program[1]

66

JB RISOE 20-05-2003 Advanced 700C PF Power Plant  

E-Print Network (OSTI)

competitiveness; · New boiler concepts, which reduces the amount of superalloys. #12;JB RISOE 20-05-2003 AD 700 Boiler by ALSTOM. #12;JB RISOE 20-05-2003 Compact Design. HF Boiler by Siemens #12;JB RISOE 20-05-2003 AD

67

Riso-M-2546 g Wind Turbine Test  

E-Print Network (OSTI)

Riso-M-2546 g Wind Turbine Test Wind Matic WM 17S Troels Friis Pedersen The Test Station TEST WIND MATIC WM 17S Troels Friis Pedersen The Test Station for Windmills, Ris0 Abstract* The report; DYNAMIC LOADS; HORIZONTAL AXIS TUR- BINES; MECHANICAL TESTS; NOISE; PERFORMANCE TESTING; POWER GENERATION

68

DVC^Iooolol /f%\\ Riso-R-532  

E-Print Network (OSTI)

vi DVC^Iooololø Tv 3 l&DSWJ /f%\\ Riso-R-532 On-site Test of Filters in Nuclear Facilities Using-R-532 ON-SITE TEST OF FILTERS IN NUCLEAR FACILITIES USING RADIOACTIVE SODIUM CHLORIDE ( 2 "*Na deals only with the technical aspects of the filter tests. #12;- 7 - 1. INTRODUCTION At nuclear

69

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.

70

Senegal-UNEP Risoe-Technology Needs Assessment Program | Open Energy  

Open Energy Info (EERE)

Senegal-UNEP Risoe-Technology Needs Assessment Program Senegal-UNEP Risoe-Technology Needs Assessment Program Jump to: navigation, search Name Senegal-UNEP Risoe-Technology Needs Assessment Program Agency/Company /Organization --Sean Esterly (talk) 13:29"--Sean Esterly (talk) 13:29" cannot be used as a page name in this wiki., 31 December 2013 (MST)UNEP-Risoe Centre Sector Energy Topics Background analysis, Low emission development planning, -Roadmap, Pathways analysis Website http://tech-action.org/ Country Senegal Western Africa References UNEP Risoe-Technology Needs Assessment Program[1] Abstract UNEP DTIE in collaboration with the UNEP Risoe Centre will provide targeted financial, technical and methodological support to assist a total of 35 to 45 countries to conduct TNA projects Overview

71

Costa Rica-UNEP Risoe Technology Needs Assessment Program | Open Energy  

Open Energy Info (EERE)

Costa Rica-UNEP Risoe Technology Needs Assessment Program Costa Rica-UNEP Risoe Technology Needs Assessment Program Jump to: navigation, search Name Costa Rica-UNEP Risoe-Technology Needs Assessment Program Agency/Company /Organization UNEP-Risoe Centre Sector Energy Topics Background analysis, Low emission development planning, -Roadmap, Pathways analysis Website http://tech-action.org/ Country Costa Rica Central America References UNEP Risoe-Technology Needs Assessment Program[1] Abstract UNEP DTIE in collaboration with the UNEP Risoe Centre will provide targeted financial, technical and methodological support to assist a total of 35 to 45 countries to conduct TNA projects Overview "Technology needs assessment (TNA) is a set of country-driven activities that identifies and determines the mitigation and adaptation technology

72

UNEP-Risoe CDM/JI Pipeline Analysis and Database | Open Energy Information  

Open Energy Info (EERE)

UNEP-Risoe CDM/JI Pipeline Analysis and Database UNEP-Risoe CDM/JI Pipeline Analysis and Database (Redirected from UNEP Risoe CDM/JI Pipeline Analysis and Database) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: UNEP Risoe CDM/JI Pipeline Analysis and Database Agency/Company /Organization: UNEP-Risoe Centre Topics: Finance, Market analysis, Background analysis Website: cdmpipeline.org/ References: CDM/JI Pipeline Homepage [1] "The CDM/JI Pipeline Analysis and Database contains all CDM/JI projects that have been sent for validation/determination. It also contains the baseline & monitoring methodologies, a list of DOEs and several analyses." [1] References ↑ 1.0 1.1 [1] Retrieved from "http://en.openei.org/w/index.php?title=UNEP-Risoe_CDM/JI_Pipeline_Analysis_and_Database&oldid=383313"

73

Ivory Coast-UNEP Risoe Technology Needs Assessment Program | Open Energy  

Open Energy Info (EERE)

Ivory Coast-UNEP Risoe Technology Needs Assessment Program Ivory Coast-UNEP Risoe Technology Needs Assessment Program Jump to: navigation, search Name Ivory Coast-UNEP Risoe-Technology Needs Assessment Program Agency/Company /Organization UNEP-Risoe Centre Sector Energy Topics Background analysis, Low emission development planning, -Roadmap, Pathways analysis Website http://tech-action.org/ Country Ivory Coast Western Africa References UNEP Risoe-Technology Needs Assessment Program[1] Abstract UNEP DTIE in collaboration with the UNEP Risoe Centre will provide targeted financial, technical and methodological support to assist a total of 35 to 45 countries to conduct TNA projects Overview "Technology needs assessment (TNA) is a set of country-driven activities that identifies and determines the mitigation and adaptation technology

74

Vietnam-UNEP Risoe-Technology Needs Assessment Program | Open Energy  

Open Energy Info (EERE)

Vietnam-UNEP Risoe-Technology Needs Assessment Program Vietnam-UNEP Risoe-Technology Needs Assessment Program Jump to: navigation, search Name Vietnam-UNEP Risoe-Technology Needs Assessment Program Agency/Company /Organization UNEP-Risoe Centre Sector Energy Topics Background analysis, Low emission development planning, -Roadmap, Pathways analysis Website http://tech-action.org/ Country Vietnam South-Eastern Asia References UNEP Risoe-Technology Needs Assessment Program[1] Abstract UNEP DTIE in collaboration with the UNEP Risoe Centre will provide targeted financial, technical and methodological support to assist a total of 35 to 45 countries to conduct TNA projects Overview "Technology needs assessment (TNA) is a set of country-driven activities that identifies and determines the mitigation and adaptation technology

75

UNEP Risoe Centre on Energy Environment and Sustainable Development URC |  

Open Energy Info (EERE)

Risoe Centre on Energy Environment and Sustainable Development URC Risoe Centre on Energy Environment and Sustainable Development URC Jump to: navigation, search Name UNEP Risoe Centre on Energy, Environment and Sustainable Development (URC) Place Roskilde, Denmark Zip DK 4000 Product UN research body that supports UNEP to assist countries (developing ones especially) in incorporating environmental aspects into energy planning and policy worldwide. Coordinates 55.640465°, 12.090923° 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":55.640465,"lon":12.090923,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

76

UNEP-Risoe-Economics of GHG Limitations: Country Study Series | Open Energy  

Open Energy Info (EERE)

(Redirected from UNEP-Risoe - Economics of GHG Limitations: Country Study (Redirected from UNEP-Risoe - Economics of GHG Limitations: Country Study Series) Jump to: navigation, search Name UNEP-Risoe - Economics of GHG Limitations: Country Study Series Agency/Company /Organization UNEP-Risoe Centre Sector Energy, Land Topics Policies/deployment programs, Pathways analysis, Background analysis, Resource assessment Website http://www.uneprisoe.org/Econo References Economics of Greenhouse Gas Limitations[1] Country study series: Argentina, Ecuador, Estonia, Hungary, Indonesia, Mauritius, Senegal, Vietnam Parallel country studies: Botswana, Tanzania, Zambia Regional Studies: Andean Region, Southern African Development Community (SADC) References ↑ "Economics of Greenhouse Gas Limitations" Retrieved from "http://en.openei.org/w/index.php?title=UNEP-Risoe-Economics_of_GHG_Limitations:_Country_Study_Series&oldid=377226"

77

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

DOE Data Explorer (OSTI)

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

78

UNEP-Risoe-Economics of GHG Limitations: Country Study Series | Open Energy  

Open Energy Info (EERE)

Jump to: navigation, search Jump to: navigation, search Name UNEP-Risoe - Economics of GHG Limitations: Country Study Series Agency/Company /Organization UNEP-Risoe Centre Sector Energy, Land Topics Policies/deployment programs, Pathways analysis, Background analysis, Resource assessment Website http://www.uneprisoe.org/Econo References Economics of Greenhouse Gas Limitations[1] Country study series: Argentina, Ecuador, Estonia, Hungary, Indonesia, Mauritius, Senegal, Vietnam Parallel country studies: Botswana, Tanzania, Zambia Regional Studies: Andean Region, Southern African Development Community (SADC) References ↑ "Economics of Greenhouse Gas Limitations" Retrieved from "http://en.openei.org/w/index.php?title=UNEP-Risoe-Economics_of_GHG_Limitations:_Country_Study_Series&oldid=377226"

79

Ris DTU 09-06-08 Waste-to-energy technologies in TIMES models  

E-Print Network (OSTI)

-to-energy technologies in the Pan-European NEEDS- TIMES model Waste incineration for electricity and heat, landfill gas legislation on waste Directives · Waste Framework Directive, 1975 (75/442/EEC) · Directive on the landfill be accepted as recovery) Avoid · Landfill #12;Risø DTU 09-06-08 4 European waste model Econometric model

80

Risoe National Laboratory for Sustainable Energy | Open Energy Information  

Open Energy Info (EERE)

Laboratory for Sustainable Energy Laboratory for Sustainable Energy Jump to: navigation, search Name Risoe National Laboratory for Sustainable Energy Place Roskilde, Denmark Zip DK 4000 Product Roskilde-based, national laboratory under the Ministry of Science, Technology and Innovation focused on various areas of sustainable energy. Coordinates 55.640465°, 12.090923° 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":55.640465,"lon":12.090923,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

Note: This page contains sample records for the topic "riso dtu swera" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
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81

DTU Systembiologi DTU Byg DTU Fotonik DTU Transport DTU Aqua DTU Fdevareinstituttet DTU Fysik DTU Informatik DTU Management Engineering DTU Kemi DTU Kemiteknik DTU Matematik DTU Mekanik DTU Milj DTU Veterinrinstituttet DTU Elektro DTU Space  

E-Print Network (OSTI)

was mercury adsorption onto calcium sulfate (CaSO4), a byproduct of the flue gas desulfurization (FGD) wet., Powers K.W., and Pitoniak E.R. (2004) Method for Purifying Flue Gases from Combustion Sources. PatentCoupling of Advanced Oxidation and Adsorption Processes onto Silica-Titania Composites for Low

Mosegaard, Klaus

82

Event:UNEP-Risoe-Green Energy and Carbon Market Course | Open Energy  

Open Energy Info (EERE)

Risoe-Green Energy and Carbon Market Course Risoe-Green Energy and Carbon Market Course Jump to: navigation, search Calendar.png UNEP-Risoe-Green Energy and Carbon Market Course: on 2011/07/25 "The Green Energy and Carbon Market course will explore business opportunities in developing countries within a climate change and development context. The course is relevant for managers and decision makers from the private sector seeking to develop their skills within this area. The course will cover relevant energy technologies, different technical service providers, market mechanisms and financial mechanisms including the Clean Development Mechanism (CDM), to enable participants to build new private or public-private partnerships. The participants will learn about new markets and business opportunities related to both supply

83

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

84

Dialogue, equality and trust are keywords in our relations with our employees and all our collaboration partners www.risoe.dk  

E-Print Network (OSTI)

Waste Seasonal fluctuation - storage capacity Coal and gas plant - heat bindings Mainly base load.Karlsson@risoe.dk Example: Inefficient System Integration Why? · Hydrogen production followed an exogenous given profile

85

10-25-12 RISO Updates pg 1 RISO UPDATES  

E-Print Network (OSTI)

with the university 15-passenger van. Campus & Community Services (CCS) Program Activities: Sign-up at CC-316 · Energy Vampire Hunt ­ Teams of 6 are needed but all are welcome to attend o Thursday, October 25th 9:00 AM ­ 12 HOUSE (sponsored by SAC). Come to the Vampire Hunt, stay for the Haunted House! Halloween Goodies

Wiegner, Tracy N.

86

Risoe Energy Conference Copenhagen, Denmark  

E-Print Network (OSTI)

@eng.unza.zm / ematsika@yahoo.com / ceeez@coppernet.zm #12;2 1.0 BACKGROUND ON BIOMASS POTENTIAL ! The sugarcane plant Resource available (million tonnes) Year Assumption: 2% annual growth rate in sugar production #12;8 2.0 SOUTHERN AFRICA ENERGY SUPPLY BASELINE #12;9 SOUTHERN AFRICAN POWER POOL (SAPP) ! SAPP was created in 1995

87

Annual Report 2008 DTU Electrical Engineering  

E-Print Network (OSTI)

: June 2008 Sofie Leweson Electrical main components in wind turbines - influences, compatibility. Through simulations, the project will analyze the interaction between the main wind turbine components compatibility. The research will be utilized to design wind turbines and farms by providing a basis for common

Mosegaard, Klaus

88

Ris National Laboratory DTU Radiation Research Department  

E-Print Network (OSTI)

in the environment are global fallout from nuclear weapons testing and discharges from reprocessing plants for spent nuclear fuel. The global fallout has resulted in a concentration of 99 Tc in the North Atlantic of about 5

89

International Workshop on Small Scale Wind Energy for Developing Countries  

Open Energy Info (EERE)

Scale Wind Energy for Developing Countries Scale Wind Energy for Developing Countries Jump to: navigation, search Name International Workshop on Small Scale Wind Energy for Developing Countries Agency/Company /Organization Risoe DTU Sector Energy Focus Area Renewable Energy, Wind Topics Implementation, Technology characterizations Resource Type Workshop, Training materials, Lessons learned/best practices Website http://www.risoe.dtu.dk/~/medi References International Workshop on Small Scale Wind Energy for Developing Countries[1] Background "The workshop covers the following main themes: Wind energy technologies, their perspectives and applications in developing countries. Reliability of wind turbines, lifetime and strength of wind turbine components. Low cost and natural materials for wind turbines.

90

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

Open Energy Info (EERE)

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

91

Vanadium redox-flow batteries Installation at Ris for characterisation measurements  

E-Print Network (OSTI)

and investigating distributed power systems. SYSLAB consists of two wind turbines, a pv-array, a diesel genset Bindner, Wind Energy Department, Risø National Laboratory, DTU, henrik.bindner@risoe.dk Peter Ahm, PA it provides different services to grid including smoothing of wind turbine output, load balancing and similar

92

Wind Scanner: A full-scale Laser Facility for Wind and Turbulence Measurements around large Wind Turbines  

E-Print Network (OSTI)

Wind Scanner: A full-scale Laser Facility for Wind and Turbulence Measurements around large Wind Turbines Torben Mikkelsen, Jakob Mann and Michael Courtney Wind Energy Department, Risø National Laboratory:Torben.Mikkelsen@Risoe.dk Summary RIS? DTU has started to build a newly designed laser-based lidar scanning facility for remote wind

93

Danish Atomic Energy Commission Research Establishment Riso  

E-Print Network (OSTI)

-Wigner formula usually forms a poor basis for cross section calculations. In late years a channel fission theory independent of J and 1. In accordance with the channel fission theory the fission width distri- bution

94

Riso-R-489LK Environmental Radioactivity  

E-Print Network (OSTI)

Abstract. Measurements of fallout radioactivity in Greenland in 1982 are reported. Strontium-90 (and Cesium Descriptors [0] DEER, DIET, ENVIRONMENT, EXPERIMENTAL DATA, FISHES, POOD CHAINS, GLOBAL FALLOUT, GRAPHS

95

Annual Report 2008 Annual Report 2008 Department of Mathematics DTU  

E-Print Network (OSTI)

involved in stip- pling and a discussion on how to support these using image-processing, · a method. Based on this analysis we describe our scale-dependent grayscale stip- pling process in Section 4. We, stipple methods for implicit surfaces [5, 6], point-sampled surfaces [7, 8], and stip- pling of polygonal

Mosegaard, Klaus

96

Annual Report 2011 Annual Report 2011 Department of Mathematics DTU  

E-Print Network (OSTI)

of this paper, we show the effectiveness of a simple point-based interactive volume stip- pling system. This adjustment improves the stip- pling pattern in the resulting images. We define Nmax as the maximum number curves which supplement the shading cues provided by the stip- ples. These silhouette curves

Mosegaard, Klaus

97

Publikationer NanoDTU 2008 23. september 2008  

E-Print Network (OSTI)

............................................................................................................................32 Use of LED booster circuit passive components and a converter which in turn consumes power. CCFL (Cold Cathode Fluorescent Light) consists of a fluorescent lamp tube that is placed under or on the edge of the display glass. Its

Mosegaard, Klaus

98

Annual Report Center for Electron Nanoscopy (Building 314) at DTU.  

E-Print Network (OSTI)

, Dave Deeley, Danion Doman, Masahiro Hara, Joan F. Hunter, Diane Johnson, Matthew Killmeier, Michelle Woehlk INSTRUCTORS Andrea Davis, Rebecca Green, Candace Knudson, Nancy Majewski, Amanda Medlock, Julie

Mosegaard, Klaus

99

AnnUAl reporT DTU in profile 2010  

E-Print Network (OSTI)

to electricity in the kW-range Indirect firing with Stirling engine or hot air turbines Gasification technology

Mosegaard, Klaus

100

DTU -DONG E&P RESEARCH PROJECT CATALOGUE  

E-Print Network (OSTI)

-shore platforms .................................................25 Storage of Natural Gas in Aquifers. Næumann, DONG E&P, jrnae@dongenergy.dk #12;27 Storage of Natural Gas in Aquifers DONG Energy owns of the storage is expected to increase in the future, because the distance to the sources of natural gas supply

Mosegaard, Klaus

Note: This page contains sample records for the topic "riso dtu 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

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

Open Energy Info (EERE)

Kenya from RisoeDTU Kenya from RisoeDTU Dataset Summary Description (Abstract): These data are results from the KAMM/WASP studies for Kenya. The KAMM/WAsP methodology uses a set of wind classes to represent wind conditions for the mapped region. A mesoscale simulation for each wind class, using KAMM (Karlsruhe Mesoscale Model), is performed and statistics performed on the model output. The results are a summary of the simulated wind climate, and ii. a wind atlas, a summary of the wind climate standardized to flat, uniform roughness terrain. (Purpose): The product is intended to be used to estimate the wind resource potential in the country including the the spatial variability. This map covers regions where long term measurements are not available. In a sense this is the point of the

102

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

Open Energy Info (EERE)

Bangladesh from RisoeDTU Bangladesh from RisoeDTU Dataset Summary Description (Abstract): These data are results from the KAMM/WASP studies for Bangladesh. Version 2 is an updated version of the earlier release and includes an adjustment to Weibull A and k to bring the Atlas values into better agreement with observations. See supplemental information.The KAMM/WAsP methodology uses a set of wind classes to represent wind conditions for the mapped region. A mesoscale simulation for each wind class, using KAMM (Karlsruhe Mesoscale Model), is performed and statistics performed on the model output. The result is i. a wind resource map, a summary of the simulated wind climate, and ii. a wind atlas, a summary of the wind climate standardized to flat, uniform roughness terrain. (Purpose): The product is intended to be used to

103

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

Open Energy Info (EERE)

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

104

UNEP-Risoe Centre Feed | Open Energy Information  

Open Energy Info (EERE)

Centre Feed Centre Feed Jump to: navigation, search Home | About | Inventory | Partnerships | Capacity Building | Webinars | Reports | Events | News | List Serve CLEAN Member Feeds Center for Environment and National Security at Scripps Centro de Energías Renovables (CER) The Children's Investment Fund Foundation (CIFF) Climate and Development Knowledge Network (CDKN) Climate Technology Initiative (CTI) ClimateWorks Foundation Coalition for Rainforest Nations (CfRN) Ecofys Energy Research Centre of the Netherlands (ECN) Energy Sector Management Assistance Program of the World Bank (ESMAP) Environment and Development Action in the Third World (ENDA-TM) German Aerospace Center (DLR) German Agency for International Cooperation (GIZ) Global Village Energy Partnership (GVEP)

105

Riso Report No. 137 Danish Atomic Energy Commission  

E-Print Network (OSTI)

Measurements of the DR 3 Containment during Reactor Operation to Meet a Demand of Maximum 0.1% Leakage per 48 Operation to Meet a Demand of Maximum 0.1% Leakage per 48 Hours by Karsten Haack The Danish Atomic Energy

106

* TOTT(^/Oi\\ Riso-R-402 Metallurgy Department  

E-Print Network (OSTI)

-blade material for two 600 kW wind turbines built by a group of electricity generating companies, six wings Materials Research, Technology and Materials Development, Fuel Elements, and Non-Destructive Testing. Fur during 1978 is included. INIS-descriptors: FUEL ELEMENTS, METALLURGY, NON-DESTRUCTIVE TESTING, RESEARCH

107

z>/r ^o ^/^^ Riso.M-2637  

E-Print Network (OSTI)

* Health and Safety Division, Oarai Engineering Center, Power Reactor and Nuclear Fuel Development.1.1. Theory 6 2.1.2. Multi-element TLD-system 10 2.1.3. Energy responses 12 2.1.4. Test analysis 16 2 56 #12;- 5 - 1. INTRODUCTION The increased number of nuclear power plants and the possibility

108

>T Danish Atomic Energy Commission ? Research Establishment Riso  

E-Print Network (OSTI)

. A lead cell for remote handling of the irradiated samples will be rejuired. The fission-track method is to minimize the information flow and the load of short term memory to permit simultaneous handling of the #12 will be based or. a new pneumatic transfer tube giving access to a location at the edge of the reactor core

109

DTU Civil Engineering-Report SR-10-05 (UK) September 2010  

E-Print Network (OSTI)

electricity, solar water heating, solar air heating, and solar air conditioning ­ a complete building energy. For example, an energy-efficient building is a building that utilises natural solar light and heat sensibly utilised by photovoltaics and solar heat is hundreds of times larger than all other energy resources

Mosegaard, Klaus

110

Technical Report -DTU -Informatics and Mathematical Modeling (May 31, 2007) Temperature Prediction in District  

E-Print Network (OSTI)

Prediction in District Heating Systems with cFIR models Pierre Pinson , Torben S. Nielsen, Henrik Aa. Nielsen, Lyngby, Denmark Abstract Current methodologies for the optimal operation of district heating systems regularization. Results are given for the test case of the Roskilde district heating system, over a period

111

Ris DTU 09-06-08 Energy Technology Systems Analysis Programme (ETSAP)  

E-Print Network (OSTI)

-border grid-distributed energy trade and common action among the Nordic countries to facilitate CO2 reductions Technology Systems Analysis Programme (ETSAP) · Energy Technology Data Exchange · Energy and Environmental Energy Agency ­ MARKAL implementation · 1995: Benefits from Electricity Trade in Northern Europe under CO

112

Page 2 Page 3DTU Mechanical Engineering Annual Report 2008 Annual Review  

E-Print Network (OSTI)

of an assistant professor. The Ph.D. projects concern scour problems around offshore wind turbine founda- tions turbines. Contacts: Jens Nørkær Sørensen and Henrik Bredmose. Seabed and Wind Fram Interaction in a methanol plant. The model used biomass and electricity from wind turbines as main energy inputs

Mosegaard, Klaus

113

DTUElectricalEngineeringinProfile 2012 DTU Electrical Engineering in Profile 2012  

E-Print Network (OSTI)

. The new centre is strongly supported by the opening of PowerLabDK, phase I, in March 2012 giving access of the group's research activities from 2011 have been singled out. In 2011 we initiated a new PhD project for integrating various array techniques into a single measurement device. To be completed: 2014 Project funded

Mosegaard, Klaus

114

DTU Aqua Report No 246-2011 By Simon B. Leonhard, Claus Stenberg  

E-Print Network (OSTI)

of this farm, which is composed of 80 wind turbines and located in the North Sea 14-20 km off the western coast the individual wind turbines and rows is 560 m and the wind farm covers an area of 27.5 km2 including a 200 m buffer zone around the wind farm. The wind turbine foundations are constructed using the "monopile

Mosegaard, Klaus

115

DTU Aqua-rapport nr. 220-2010 Af Anders Koed, Niels Jepsen,  

E-Print Network (OSTI)

-11 42 * Skjern Sdr. Green - Skarrild 4-11 74 * Skjern Skarrild ­ Sdr. Felding 5-11 45 * Skjern Lysholm

Mosegaard, Klaus

116

Forskere p Ris og DTU har udviklet en metode til fremstilling af bioethanol  

E-Print Network (OSTI)

med halm som råstof. Under processen fremstilles der også biogas som et biprodukt Bruger man biogas i to processer, som udnytter hinandens restprodukter uden at efterlade spildevand af betydning. Vi den nye metode til fremstilling af bioethanol, i en kombination med biogas, er denne

117

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

Open Energy Info (EERE)

Ethiopia from RisoeDTU Ethiopia from RisoeDTU Dataset Summary Description (Abstract): These data are results from the KAMM/WASP studies for Ethiopia. The KAMM/WAsP methodology uses a set of wind classes to represent wind conditions for the mapped region. A mesoscale simulation for each wind class, using KAMM (Karlsruhe Mesoscale Model), is performed and statistics performed on the model output. The results are a summary of the simulated wind climate, and ii.a wind atlas, a summary of the wind climate standardized to flat, uniform roughness terrain. (Purpose): The product is intended to be used to estimate the wind resource potential in the country including the spatial variability. This map covers regions where long term measurements are not available. In a sense this is the point of the mapping exercise, but it also means that verification of results has not been as complete would be ideal. There is some concern that the results may underestimate the resource. However, new measurement data is coming and revisions to the map may be made if necessary as verification is carried out.

118

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

Open Energy Info (EERE)

Nepal from RisoeDTU Nepal from RisoeDTU Dataset Summary Description (Abstract): These data are results from the KAMM/WASP studies for Nepal. The KAMM/WAsP methodology uses a set of windclasses to represent wind conditions for the mapped region. A mesoscale simulation for each wind class, using KAMM (Karlsruhe Mesoscale Model), is performed and statistics performed on the model output. The results are a summary of the simulated wind climate, and a wind atlas, a summary of the wind climate standardized to flat, uniform roughness terrain. (Purpose): The product is intended to be used to estimate the wind resource potential in the country including the the spatial variability. This map covers regions where long term measurements are not available. In a sense this is the point of the mapping exercise, but it also means that verification of results has not been as complete would be ideal. There is some concern that the results may underestimate the resource. However, new measurement data is coming and revisions to the map may be made if necessary as verification is carried out.

119

KAMM | OpenEI  

Open Energy Info (EERE)

KAMM KAMM Dataset Summary Description (Abstract): The wind climate of Ireland has been calculated using the Karlsruhe Atmospheric Mesoscale Model KAMM using the statistical-dynamical method. The large-scale climatology is represented by 65 classes of geostropic wind. From the frequency of the classes and the simulations the climatology of the surface wind is determined. The simulated winds are processed similar to observed data to obtain LIB-files for the Wind Atlas Analysis and Application Program WAsP. Comparisons are made with mast observations which have been Source Risø DTU Date Released October 31st, 1997 (17 years ago) Date Updated August 29th, 2003 (11 years ago) Keywords Ireland KAMM methodology SWERA UNEP wind Data application/pdf icon Download Report (pdf, 397.3 KiB)

120

HH 9^0 Si 3S Ris-R-797(EN) "Riso-R-Wfew)  

E-Print Network (OSTI)

of subjects including wind resources, reliability and load assessment, grid connec- tion, wind-diesel systems. On Power Quality Measures for Wind-Diesel Systems: A Conceptual Framework and a Case Study 118 H.W. Bindner and P. Lundsager. Engineering Design Toob for Wind Diesel - Summary of First Release Version 125 D

Note: This page contains sample records for the topic "riso dtu 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

Risoe International Energy conference, May 2003 New Energy, new hazard ?New Energy, new hazard ?  

E-Print Network (OSTI)

applications : city buses on the short term, cars on the long term, - Stationary applications : urban electricity and heat generators, home generators, remote location generators (telecom centre), back-up systems

122

TT^T7Gs!rf5ft Riso-R-425 Metallurgy Department  

E-Print Network (OSTI)

turbines built by a group of electricity generating companies. Six wings with a length of 12 meters each- ters: General Materials Research, Technology and Materials Development, Fuel Elements, Non by the staff during 1979 is included. INIS-descriptors: FUEL ELEMENTS, METALLURGY, NON-DESTRUCTIVE TESTING

123

~T)^TT(Td/nS Riso-R-582 Physics Department  

E-Print Network (OSTI)

with Heat Produced by Sending Alternating Current through the Glass. Knud Brodersen and Ib Larsen. 1967. 47. Manganese Activated Lithium Borate as a Thermoluminescent Dosimetry Material. P. Christensen. 1967. 29 p. 19 p. 175. On the viscosity and heat conductivity of a collisionless plasma in a magnetic field. V

124

Riso-R-742(EN) EU-CISJoint Study Project 2  

E-Print Network (OSTI)

- suming an effective half-life of the annual exposure of 10 years and a dose and dose rate effectiveness factor (DDREF) of 2. A risk model is being developed in Russia for the assessment of risks to the exposed populations from atmospheric nuclear weapons tests in the Semipalatinsk region (Altai region) in the forties

125

Bioenergy and emerging biomass conversion technologies Hanne stergrd, Ris National Laboratory, Technical University of Denmark DTU, Denmark  

E-Print Network (OSTI)

Bioenergy and emerging biomass conversion technologies Hanne ?stergård, Risø National Laboratory in the Agricultural Outlook from OECD-FAO, these predictions may be misleading and biomass may increase more rapidly Biomass and waste Hydro Nuclear Gas Oil Coal Fig 1 Total primary energy supply3 · The transport sector

126

Wind Atlas Analysis and Application Program (WAsP) | Open Energy  

Open Energy Info (EERE)

Wind Atlas Analysis and Application Program (WAsP) Wind Atlas Analysis and Application Program (WAsP) Jump to: navigation, search Tool Summary Name: Wind Atlas Analysis and Application Program (WAsP) Agency/Company /Organization: Risoe DTU Sector: Energy Focus Area: Renewable Energy, Wind Topics: GHG inventory, Resource assessment Resource Type: Maps, Software/modeling tools User Interface: Desktop Application Website: www.wasp.dk/ Cost: Paid Wind Atlas Analysis and Application Program (WAsP) Screenshot References: WAsP[1] Background "WAsP is a PC program for predicting wind climates, wind resources and power productions from wind turbines and wind farms. The predictions are based on wind data measured at stations in the same region. The program includes a complex terrain flow model, a roughness change model and a model

127

Wind resources and wind farm wake effects offshore observed from satellite  

E-Print Network (OSTI)

Wind resources and wind farm wake effects offshore observed from satellite Charlotte Bay Hasager, Wind Energy Department, Roskilde, Denmark Charlotte.hasager@risoe.dk, poul.astrup@risoe.dk, merete.bruun.Christiansen@risoe.dk, morten.Nielsen@risoe.dk, r.barthelmie@risoe.dk Abstract: Satellite observations of ocean wind speed

128

Pages that link to "Property:ProgramSector" | Open Energy Information  

Open Energy Info (EERE)

Wind Energy Resource Assessment (SWERA) ( links) Power Technologies Energy Data Book ( links) Geospatial Toolkit ( links) Asia Sustainable and Alternative...

129

Pages that link to "Property:ProgramResources" | Open Energy...  

Open Energy Info (EERE)

Wind Energy Resource Assessment (SWERA) ( links) Power Technologies Energy Data Book ( links) Geospatial Toolkit ( links) Long range Energy Alternatives...

130

Pages that link to "Property:Abstract" | Open Energy Information  

Open Energy Info (EERE)

Wind Energy Resource Assessment (SWERA) ( links) Power Technologies Energy Data Book ( links) Geospatial Toolkit ( links) Long range Energy Alternatives...

131

Pages that link to "Property:ProgramTopics" | Open Energy Information  

Open Energy Info (EERE)

Wind Energy Resource Assessment (SWERA) ( links) Power Technologies Energy Data Book ( links) Geospatial Toolkit ( links) Asia Sustainable and Alternative...

132

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

Open Energy Info (EERE)

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

133

Investigation of the Degradation Mechanisms of a Variety of Organic Photovoltaic Devices by Combination of Imaging Techniques - The ISOS-3 Inter-Laboratory Collaboration  

DOE Green Energy (OSTI)

The investigation of degradation of seven distinct sets (with a number of individual cells of n {>=} 12) of state of the art organic photovoltaic devices prepared by leading research laboratories with a combination of imaging methods is reported. All devices have been shipped to and degraded at Riso DTU up to 1830 hours in accordance with established ISOS-3 protocols under defined illumination conditions. Imaging of device function at different stages of degradation was performed by laser-beam induced current (LBIC) scanning; luminescence imaging, specifically photoluminescence (PLI) and electroluminescence (ELI); as well as by lock-in thermography (LIT). Each of the imaging techniques exhibits its specific advantages with respect to sensing certain degradation features, which will be compared and discussed here in detail. As a consequence, a combination of several imaging techniques yields very conclusive information about the degradation processes controlling device function. The large variety of device architectures in turn enables valuable progress in the proper interpretation of imaging results -- hence revealing the benefits of this large scale cooperation in making a step forward in the understanding of organic solar cell aging and its interpretation by state-of-the-art imaging methods.

Rosch, R.; Tanenbaum, D. M.; Jrgensen, M.; Seeland, M.; Barenklau, M.; Hermenau, M.; Voroshazi, E.; Lloyd, M. T.; Galagan, Y.; Zimmermann, B.; Wurfel, U.; Hosel, M.; Dam, H. F.; Gevorgyan, S. A.; Kudret, S.; Maes, W.; Lutsen, L.; Vanderzande, D.; Andriessen, R.; Teran-Escobar, G.

2012-04-01T23:59:59.000Z

134

Investigation of the Degradation Mechanisms of a Variety of Organic Photovoltaic Devices by Combination of Imaging Techniquesthe ISOS-3Inter-laboratory Collaboration  

DOE Green Energy (OSTI)

The investigation of degradation of seven distinct sets (with a number of individual cells of n {ge} 12) of state of the art organic photovoltaic devices prepared by leading research laboratories with a combination of imaging methods is reported. All devices have been shipped to and degraded at Risoe DTU up to 1830 hours in accordance with established ISOS-3 protocols under defined illumination conditions. Imaging of device function at different stages of degradation was performed by laser-beam induced current (LBIC) scanning; luminescence imaging, specifically photoluminescence (PLI) and electroluminescence (ELI); as well as by lock-in thermography (LIT). Each of the imaging techniques exhibits its specific advantages with respect to sensing certain degradation features, which will be compared and discussed here in detail. As a consequence, a combination of several imaging techniques yields very conclusive information about the degradation processes controlling device function. The large variety of device architectures in turn enables valuable progress in the proper interpretation of imaging results - hence revealing the benefits of this large scale cooperation in making a step forward in the understanding of organic solar cell aging and its interpretation by state-of-the-art imaging methods.

Germack D.; Rosch, R.; Tanenbaum, D.M.; Jorgensen, M.; Seeland, M.; Barenklau, M.; Hermenau, M.; Voroshazi, E.; Lloyd, M.T.; Galagan, Y.; Zimmermann, B.; Wurfel, U.; Hosel, M.; Dam, H.F.; Gevorgyan, S.A.; Kudret, S.; Maes, W.; Lutsen, L.; Vanderzande, D.; Andriessen, R.; Teran-Escobar, G.; Lira-Cantu, M.; Rivaton, A.; Uzunoglu, G.Y.; Andreasen, B.; Madsen, M.V.; Norrman, K.; Hoppe, H.; Krebs, F.C.

2012-04-01T23:59:59.000Z

135

Cross Validation of Satellite Radiation Transfer Models during...  

Open Energy Info (EERE)

Cross Validation of Satellite Radiation Transfer Models during SWERA Project in Brazil (Abstract):This work describes the cross validation between two different...

136

Utilization of Renewables in Bangladesh: Case Studies  

Open Energy Info (EERE)

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

(Purpose):SWERA Documentation...

137

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

Open Energy Info (EERE)

High Resolution Solar Energy Resource Assessment within the UNEP Project SWERA

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

138

Pages that link to "Property:Partner" | Open Energy Information  

Open Energy Info (EERE)

Wind Energy Resource Assessment (SWERA) ( links) Power Technologies Energy Data Book ( links) Alaska Renewable Energy Project ( links) BEST-Cement for China...

139

OpenEI - United Nations  

Open Energy Info (EERE)

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

140

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

Open Energy Info (EERE)

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

Note: This page contains sample records for the topic "riso dtu 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

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

Open Energy Info (EERE)

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

142

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

Open Energy Info (EERE)

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

143

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

Open Energy Info (EERE)

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

144

Integrated: Geospatial Toolkit GIS data for Sri Lanka from NREL  

Open Energy Info (EERE)

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

145

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

Open Energy Info (EERE)

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

146

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

Open Energy Info (EERE)

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

147

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

Open Energy Info (EERE)

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

148

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

Open Energy Info (EERE)

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

149

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

Open Energy Info (EERE)

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

150

Integrated: Geospatial Toolkit GIS data for Cuba from NREL  

Open Energy Info (EERE)

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

151

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

Open Energy Info (EERE)

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

152

Integrated: Geospatial Toolkit GIS data for China from NREL  

Open Energy Info (EERE)

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

153

Large-scale pulsed laser deposition Nini Pryds, AFM, Jrgen Schou, OPL, Finn Saxild, AFM and Sren Linderoth,AFM  

E-Print Network (OSTI)

; OPL, Department of Optics and Plasma Research) e-mail: j.schou@risoe.dk Pulsed laser deposition (PLD

154

DANISHBIOETHANOLCONCEPT Biomass conversion for  

E-Print Network (OSTI)

DANISHBIOETHANOLCONCEPT Biomass conversion for transportation fuel Concept developed at RIS? and DTU Anne Belinda Thomsen (RIS?) Birgitte K. Ahring (DTU) #12;DANISHBIOETHANOLCONCEPT Biomass: Biogas #12;DANISHBIOETHANOLCONCEPT Pre-treatment Step Biomass is macerated The biomass is cut in small

155

G. Bebis et al. (Eds.): ISVC 2011, Part II, LNCS 6939, pp. 290299, 2011. Springer-Verlag Berlin Heidelberg 2011  

E-Print Network (OSTI)

, Oded, (DTU-stip.) Andersen, Nina Marianne (Novo Nordisk A/S) Gravesen, Jens, D. Phil., lektor Brander, Kristian (DTU-stip.) Hansen, Søren Kold, Ph.D., lektor (leave to 30.4) Hansen Vagn Lundsgaard, Ph ­ Department of Mathematics DTU Bro, Marie (leave from 1.6, DTU-stip. Name change from 22.11 to Marie Bro Dunn

Nebel, Jean-Christophe

156

En nano-boks for lys Skoustipendiat Peter Lodahl  

E-Print Network (OSTI)

En nano-boks for lys Skoustipendiat Peter Lodahl COM·DTU, Danmarks Tekniske Universitet (DTU) E-mail: pel@com.dtu.dk Specielt designede nano-strukturerede halvleder materialer kan udnyttes til at kontrollere udsendelsen og udbredelsen af lys. Introduceres en nano-boks i en fotonisk krystal kan man skabe

Mosegaard, Klaus

157

Nepal | OpenEI  

Open Energy Info (EERE)

Nepal Nepal Dataset Summary Description (Abstract): Wind, biomass, bio-gas, photovoltaic and small hydro renewable energy technologies in Nepal (Purpose): SWERA Documentation Source Alternate Energy Promotion Centre Date Released December 02nd, 2003 (11 years ago) Date Updated October 20th, 2007 (7 years ago) Keywords biomass documentation GEF Nepal renewable energy small hydro solar SWERA UNEP wind Data application/pdf icon Download Document (pdf, 1.6 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2002 License License Other or unspecified, see optional comment below Comment Please cite publication as follows: AEPC,2003. Nepal: Applications of Renewable Energy Technologies, Alternate Energy Promotion Centre, Nepal. GEF UNEP SWERA. Available from http://swera.unep.net on 2 December 2003.

158

Nepal: Applications of Renewable Energy Technologies | OpenEI  

Open Energy Info (EERE)

Nepal: Applications of Renewable Energy Technologies Nepal: Applications of Renewable Energy Technologies Dataset Summary Description (Abstract): Wind, biomass, bio-gas, photovoltaic and small hydro renewable energy technologies in Nepal (Purpose): SWERA Documentation Source Alternate Energy Promotion Centre Date Released December 02nd, 2003 (10 years ago) Date Updated October 20th, 2007 (7 years ago) Keywords biomass documentation GEF Nepal renewable energy small hydro solar SWERA UNEP wind Data application/pdf icon Download Document (pdf, 1.6 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2002 License License Other or unspecified, see optional comment below Comment Please cite publication as follows: AEPC,2003. Nepal: Applications of Renewable Energy Technologies, Alternate Energy Promotion Centre, Nepal. GEF UNEP SWERA. Available from http://swera.unep.net on 2 December 2003.

159

Bangladesh | OpenEI  

Open Energy Info (EERE)

Bangladesh Bangladesh Dataset Summary Description (Abstract): Three case studies in (1) Solar market electrification, (2) Wind-solar hybrid system in Kuakata Sea Beach and (3) Micro hydro power plant of Aung Thuwi Khoi. (Purpose): SWERA Documentation Source Renewable Energy Research Centre Date Released December 02nd, 2003 (10 years ago) Date Updated October 20th, 2007 (7 years ago) Keywords Bangladesh case studies documentation GEF renewable energy small hydro solar SWERA UNEP wind Data application/pdf icon Download Document (pdf, 566.4 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2002 License License Other or unspecified, see optional comment below Comment Please cite publication as follows: RERC,2003. Utilization of Renewables in Bangladesh: Case Studies. Renewable Energy Research Centre, Dhaka University, Bangladesh. GEF UNEP SWERA. Available from http://swera.unep.net on 2 December 2003.

160

Utilization of Renewables in Bangladesh: Case Studies | OpenEI  

Open Energy Info (EERE)

Utilization of Renewables in Bangladesh: Case Studies Utilization of Renewables in Bangladesh: Case Studies Dataset Summary Description (Abstract): Three case studies in (1) Solar market electrification, (2) Wind-solar hybrid system in Kuakata Sea Beach and (3) Micro hydro power plant of Aung Thuwi Khoi. (Purpose): SWERA Documentation Source Renewable Energy Research Centre Date Released December 02nd, 2003 (11 years ago) Date Updated October 20th, 2007 (7 years ago) Keywords Bangladesh case studies documentation GEF renewable energy small hydro solar SWERA UNEP wind Data application/pdf icon Download Document (pdf, 566.4 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2002 License License Other or unspecified, see optional comment below Comment Please cite publication as follows: RERC,2003. Utilization of Renewables in Bangladesh: Case Studies. Renewable Energy Research Centre, Dhaka University, Bangladesh. GEF UNEP SWERA. Available from http://swera.unep.net on 2 December 2003.

Note: This page contains sample records for the topic "riso dtu 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

case studies | OpenEI  

Open Energy Info (EERE)

case studies case studies Dataset Summary Description (Abstract): Three case studies in (1) Solar market electrification, (2) Wind-solar hybrid system in Kuakata Sea Beach and (3) Micro hydro power plant of Aung Thuwi Khoi. (Purpose): SWERA Documentation Source Renewable Energy Research Centre Date Released December 02nd, 2003 (10 years ago) Date Updated October 20th, 2007 (7 years ago) Keywords Bangladesh case studies documentation GEF renewable energy small hydro solar SWERA UNEP wind Data application/pdf icon Download Document (pdf, 566.4 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2002 License License Other or unspecified, see optional comment below Comment Please cite publication as follows: RERC,2003. Utilization of Renewables in Bangladesh: Case Studies. Renewable Energy Research Centre, Dhaka University, Bangladesh. GEF UNEP SWERA. Available from http://swera.unep.net on 2 December 2003.

162

Untitled Document  

Open Energy Info (EERE)

CROSS-VALIDATION OF SWERA's CORE RADIATIVE TRANSFER CROSS-VALIDATION OF SWERA's CORE RADIATIVE TRANSFER MODELS - PARTIAL REPORT. Goal The main goal of this report is to present and discuss the partial results obtained for the cross-validation task of the SWERA Project. Deviations of global horizontal solar estimates obtained using BRASIL-SR and SUNY-ALBANY models are compared with a reference model HELIOSAT and validated for three ground sites in Brazil. Last update This report was updated in 09/15/2003. Comments 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;

163

FIT for Use Everywhere? Assessing Experiences With Renewable...  

Open Energy Info (EERE)

Organization: UNEP-Risoe Centre Sector: Energy Focus Area: Renewable Energy Topics: Market analysis, Pathways analysis Resource Type: Publications, Case studiesexamples...

164

Plenary Session  

Science Conference Proceedings (OSTI)

Mar 12, 2012 ... Session Chair: Xiaoxu Huang, Risoe National Laboratory for Sustainable Energy, Technical University of Denmark; Suveen Mathaudhu, U.S....

165

Materials Week '97: Wednesday AM Session  

Science Conference Proceedings (OSTI)

... IN DIFFUSIONAL CREEP: J.B. Bilde-Sorensen, Materials Research Department, Riso National Laboratory, PO Box 49, DK-4000 Roskilde, Denmark.

166

Von Laue, Bragg and Diffraction Centennial  

Science Conference Proceedings (OSTI)

Mar 12, 2012... Sciences, U.S. Dept. of Energy, Dr. P. Thiyagarajan Session Chair: Wolfgang Pantleon, Risoe National Laboratory; Xun-Li Wang, SNS...

167

final program pdf  

Science Conference Proceedings (OSTI)

Jul 14, 2011 ... Hydro Aluminium, Germany. Dorte Juul Jensen. Riso Nat ..... Division, Ris National Laboratory for Sustainable Energy, Technical. University of...

168

APS Colloquium 2003  

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

Juul Jensen, Center for Fundamental Research, Riso National Laboratory, Denmark. (pdf) My Manhattan Project: A Physicists Adventures on Wall St. (Oct. 1) Nigel Goldenfeld,...

169

An Enabling Framework for Wind Power in Colombia: What are the...  

Open Energy Info (EERE)

Organization UNEP-Risoe Centre Sector Energy Focus Area Renewable Energy, Wind Topics Market analysis, Pathways analysis Resource Type Publications, Lessons learnedbest...

170

Molecular stretching in polymer melts undergoing steady elongational flow.  

E-Print Network (OSTI)

Molecular stretching in polymer melts undergoing steady elongational flow. Kell Mortensen Centre DTU, Lyngby, Denmark The molecular stretching of a polymer melt undergoing steady elongational

171

Charles Weschler  

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

at the International Centre for Indoor Environment and Energy, Technical University of Denmark (DTU, Lyngby, Denmark). Prof. Weschler is widely recognized as a pioneer of indoor...

172

Mul%crystal diffrac%on  

Science Conference Proceedings (OSTI)

Page 1. Mul%crystal diffrac%on DTU, Denmark: C. Gundlach, PC Hansen, D. Juul Jensen, EM Lauridsen, L. Margulies, J. Oddershede, ...

2013-06-07T23:59:59.000Z

173

SLAC National Accelerator Laboratory - SUNCAT Director Awarded...  

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

Gold Medal for engineering scientific research from the Technical University of Denmark (DTU). The presentation was made on May 3 at an annual university celebration...

174

Ris National Laboratory Optics and Plasma Reserch Department  

E-Print Network (OSTI)

Optics and Plasma Research Department, Risø National Laboratory Required publisher statement Copyright: Optics and Plasma Research Department Division: Risoe National National Laboratory Address: P.O. Box 49Name: R. Suffix: Organization: Optics and Plasma Research Department Division: Risoe National National

175

RWT TOOL: OFFSHORE WIND ENERGY MAPPING FROM SAR C. B. Hasager, M. Nielsen, M. B. Christiansen  

E-Print Network (OSTI)

RWT TOOL: OFFSHORE WIND ENERGY MAPPING FROM SAR C. B. Hasager, M. Nielsen, M. B. Christiansen Risø National Laboratory, Wind Energy Department, Roskilde, Denmark Email: charlotte.hasager@risoe.dk, morten by Risoe National Laboratory, Dept. of Wind Energy for assessment of offshore wind resource maps based

176

T e c h n i c a l u n i v e r s i T y o f d e n m a r k DTU 2008T e c h n i c a l u n i v e r s i T y o f d e n m a r k  

E-Print Network (OSTI)

Virginia, October 2005. (invited talk) Bohun, C.S., Jamali, P., et. al. (2005). Modelling a Stirling Engine

Mosegaard, Klaus

177

Te c h n i c a l u n i v e r s i t y o f d e n m a r k DTU 2008Te c h n i c a l u n i v e r s i t y o f d e n m a r k  

E-Print Network (OSTI)

Europe in the mideighties and it became evident that the flue gases of MWCs contained significant amounts, residual heavy metals (mainly mercury) and acid gases (5) install a selective catalytic reduction (SCR metals, especially mercury, and acid gases are removed to levels at or below the detection limits of even

Mosegaard, Klaus

178

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.

179

Published: May 04, 2011 r 2011 American Chemical Society 4884 dx.doi.org/10.1021/es103752u |Environ. Sci. Technol. 2011, 45, 48844889  

E-Print Network (OSTI)

. The output of the process is bio-oil, biochar, and non-condensable gases, with the yield of bio-oil at about delivering the highest quality of biochar. DTU Risø covers the biochar research while DTU Chemical converting biomass to bio-oil and gas but at the same time yielding high quality biochar ­ a porous, powdery

Ma, Lena

180

ON-LINE MONITORING OF FOOD PROCESSES USING SUBSURFACE  

E-Print Network (OSTI)

laser pen (c. 1 mW) in skim milk (fat: 0.1 wt.-%) photo rendering curve from center #12;6 DTU in the field of realistic rendering in computer graphics #12;4 DTU Informatics, Technical University of Denmark · Artificially generated milk images based on light scattering simulations · Rendering Method (Frisvad et al

Note: This page contains sample records for the topic "riso dtu 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

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

182

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

183

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

184

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

185

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"

186

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.

187

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

188

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

189

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

190

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

191

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

192

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

193

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

194

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

195

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

196

Production of High Resolution Irradiance Data for Central America and Cuba  

Open Energy Info (EERE)

Production of High Resolution Irradiance Data for Central America and Cuba Production of High Resolution Irradiance Data for Central America and Cuba Dataset Summary Description (Abstract): The main object of the SUNY task for SWERA is to prepare high resolution global irradiance (GHI) and direct irradiance (DNI) data sets for the countries of Cuba, El Salvador, Guatemala, Honduras and Nicaragua.Much of our initial effort focused on building up the satellite data tx_metadatatool, and in strengthening and validating the models capable of converting that data into ground surface irradiances. Three research articles, acknowledging all or partial funding from UNEP & SWERA have been published on this subject. (Purpose): SWERA documentation Source SUNY Albany Date Released July 31st, 2003 (11 years ago) Date Updated August 29th, 2003 (11 years ago)

197

methodology | OpenEI  

Open Energy Info (EERE)

methodology methodology Dataset Summary Description (Abstract): The main object of the SUNY task for SWERA is to prepare high resolution global irradiance (GHI) and direct irradiance (DNI) data sets for the countries of Cuba, El Salvador, Guatemala, Honduras and Nicaragua.Much of our initial effort focused on building up the satellite data tx_metadatatool, and in strengthening and validating the models capable of converting that data into ground surface irradiances. Three research articles, acknowledging all or partial funding from UNEP & SWERA have been published on this subject. Source SUNY Albany Date Released July 31st, 2003 (11 years ago) Date Updated August 29th, 2003 (11 years ago) Keywords Cuba methodology solar SWERA UNEP Data application/pdf icon Download Report (pdf, 2.6 MiB)

198

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"

199

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"

200

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

Note: This page contains sample records for the topic "riso dtu 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

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

202

Microsoft Word - Full report_cover page_colour pages.doc  

Open Energy Info (EERE)

Final Report of Final Report of Solar and Wind Energy Resource Assessment (SWERA) - Bangladesh Supported by: United Nations Environment Programme (UNEP) Global Environment Facility (GEF) Country Partner: Renewable Energy Research Centre (RERC) University of Dhaka Bangladesh Final Report of Solar and Wind Energy Resource Assessment (SWERA) - Bangladesh February 2007 Prepared by - Prof. (retd) Muhtasham Hussain Chief Consultant Solar and Wind Energy Resource Assessment - Bangladesh Renewable Energy Research Centre University of Dhaka & President Bangladesh Solar Energy Society Dhaka, Bangladesh Email: rercdu@yahoo.com Md. Shafiuzzaman Khan Khadem Lecturer, Electronics & Telecommunication Engineering Dept,

203

How can I open .ASC files contained in the following linkhttp...  

Open Energy Info (EERE)

http:en.openei.orgdatasetsnode61 Home > Groups > Geospatial I really need the Kenya wind data develop by Riso by i cant open the files provided. I will apprecite some help...

204

Early User Experience with BISON Fuel Performance Code  

SciTech Connect

Three Fuel Modeling Exercise II (FUMEX II) LWR fuel irradiation experiments were simulated and analyzed using the fuel performance code BISON to demonstrate code utility for modeling of the LWR fuel performance. Comparisons were made against the BISON results and the experimental data for the three assessment cases. The assessment cases reported within this report include IFA-597.3 Rod 8, Riso AN3 and Riso AN4.

D. M. Perez

2012-08-01T23:59:59.000Z

205

88 IEEE TRANSACTIONS ON MULTIMEDIA, VOL. 14, NO. 1, FEBRUARY 2012 Semantic Model Vectors for Complex  

E-Print Network (OSTI)

Ahmed, (inst.stip.) Alkhezaimi, Hoda, 1,5 mth. from 15.11.10, (Emi- rates Advanced Investments) Amir, Oded, (DTU-stip.) Andersen, Morten, (5 mths. from 1.8.10, inst.stip.) Andersen, Nina Marianne (7 mths. to 31.7.10, Novo Nordisk A/S) Borghoff, Julia (FTP) Brander, Kristian (1 mth. to 31.1.10, DTU-stip

Xie, Lexing

206

Ris Energy Report 6 Energy efficiency policy 1 4 Energy efficiency policy  

E-Print Network (OSTI)

Risø Energy Report 6 Energy efficiency policy 1 4 Energy efficiency policy JENs-PETER LYNOV, RIsø through means ranging from new technologies to new policies. 4.2 Energy conversion As Figure 7 shows DTU; sVEND sVENDsEN, HENRIk M. TOMMERUP, bYg DTU; JøRN bORUP JENsEN, DANIsH ENERgY AssOCIATION 4

207

Geomagnetic observatory GAN Jakub Velimsky K. Chandra Shakar Rao Lars W. Pedersen Ahmed Muslim  

E-Print Network (OSTI)

Geomagnetic observatory GAN Jakub Vel´imsk´y K. Chandra Shakar Rao Lars W. Pedersen Ahmed Muslim´imsk´y et al. (ETH,UK,DTU,NGRI,GMO) Geomagnetic observatory GAN 27.4.2011/KG MFF UK 1 / 16 #12;Participating, Univ. Stuttgart) John Riddick (BGS, retired) Vel´imsk´y et al. (ETH,UK,DTU,NGRI,GMO) Geomagnetic

Cerveny, Vlastislav

208

Strengthening Clean Energy Technology Cooperation under the UNFCCC: Steps toward Implementation  

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

Strengthening Clean Energy Strengthening Clean Energy Technology Cooperation under the UNFCCC: Steps toward Implementation Ron Benioff (NREL), Heleen de Coninck (ECN), Subash Dhar (Risoe National Lab), Ulrich Hansen (Risoe National Lab), Joyce McLaren (NREL), and Jyoti Painuly (Risoe National Lab) NREL/TP-6A0-48596 August 2010 osed NREL logo, June 15, 2009 White Black Blue NOTICE This report was prepared as an account of work sponsored by an agency of the United States government. Neither the United States government nor any agency thereof, nor any of their employees, nor any of their contributors, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or

209

map | OpenEI  

Open Energy Info (EERE)

map map 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 photovoltaic power systems. Source NREL Date Released December 11th, 2003 (11 years ago) Date Updated October 30th, 2007 (7 years ago) Keywords Cuba GEF GHI map NREL solar SWERA UNEP Data application/pdf icon Download Maps (pdf, 1.3 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period License License Open Data Commons Attribution License Comment Please cite NREL and UNEP SWERA.

210

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.

211

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)

212

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.

213

small hydro | OpenEI  

Open Energy Info (EERE)

03 03 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142278803 Varnish cache server small hydro Dataset Summary Description (Abstract): Three case studies in (1) Solar market electrification, (2) Wind-solar hybrid system in Kuakata Sea Beach and (3) Micro hydro power plant of Aung Thuwi Khoi. (Purpose): SWERA Documentation Source Renewable Energy Research Centre Date Released December 02nd, 2003 (11 years ago) Date Updated October 20th, 2007 (7 years ago) Keywords Bangladesh case studies documentation GEF renewable energy small hydro solar SWERA UNEP wind Data application/pdf icon Download Document (pdf, 566.4 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

214

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.

215

documentation | OpenEI  

Open Energy Info (EERE)

documentation documentation 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 (5 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 Rate this dataset

216

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.

217

Kenya | OpenEI  

Open Energy Info (EERE)

Kenya Kenya 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 (5 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 Rate this dataset

218

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

219

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

220

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

Note: This page contains sample records for the topic "riso dtu 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

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)

222

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.

223

Wind 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)

224

West African Clean Energy Gateway-Resource Assessment | Open Energy  

Open Energy Info (EERE)

African Clean Energy Gateway-Resource Assessment African Clean Energy Gateway-Resource Assessment Jump to: navigation, search Economic Community of West African States (ECOWAS) Clean Energy Gateway Home | About | News | Links | Help | Countries Benin | Burkina Faso | Cape Verde | Gambia | Ghana | Guinea| Guinea-Bissau | Ivory Coast | Liberia | Mali | Niger | Nigeria | Senegal | Sierra Leone | Togo Countries ECREEE light.JPG FBenin.png FBurkinaFaso.png FCapeVerde.png FGambia.png FGhana.png FGuinea.png FGuinea-Bissau.png Benin Burkina Faso Cape Verde Gambia Ghana Guinea Guinea-Bissau FIvoryCoast.png FLiberia.png FMali.png FNiger.png FNigeria.png FSenegal.png FSierraLeone.png FTogo.png Ivory Coast Liberia Mali Niger Nigeria Senegal Sierra Leone Togo SWERA-thumb.jpg The SWERA landing page allows for the quick browsing of global data layers.

225

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

226

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.

227

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.

228

Microsoft Word - central-america-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 region of Central America that includes the countries of Belize, El Salvador, Guatemala, Honduras, and Nicaragua. 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 regional wind mapping activity covered vast areas totaling about 400,000 km 2 of land area and, including offshore areas, almost 500,000 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,

229

resource assessment | OpenEI  

Open Energy Info (EERE)

resource assessment resource assessment 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)

230

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.

231

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.

232

Production of high Resoulution Irradiance Data for Central America and Cuba  

Open Energy Info (EERE)

DRAFT REPORT - JULY 2003 DRAFT REPORT - JULY 2003 Production of high Resolution Irradiance Data For Central America and Cuba Prepared by Richard Perez ASRC, the University at Albany (SUNY) For United Nations Environmental Program Solar Energy and Wind Resource Assessment (SWERA) Deliverable for July, 2003 The main objective of the SUNY task for SWERA is to prepare high resolution global irradiance (GHI) and direct irradiance (DNI) data sets for the countries of Cuba, El Salvador, Guatemala, Honduras and Nicaragua. Much of our initial effort focused on building up the satellite data archive, and in strengthening and validating the models capable of converting that data into ground surface irradiances. Three research articles, acknowledging all or partial funding

233

insert 52005.indd  

Open Energy Info (EERE)

Solar and Wind Energy Solar and Wind Energy Resource Assessment (SWERA) is a US$ 9.3 million Project, co-financed with US$6.8 million from the Global Environment Facility (GEF) and more than 25 institutions around the world. A s energy planners seek cleaner energy solutions using renewable energy technologies, the availability of reliable, accurate, and accessible solar and wind energy information

234

Relatório Preliminar de Validação e Intercomparação dos Modelos de  

Open Energy Info (EERE)

Relatório Preliminar de Validação e Intercomparação dos Modelos de Relatório Preliminar de Validação e Intercomparação dos Modelos de Transferência Radiativa Adotados no Projeto SWERA Dataset Summary Description (Abstract): Neste documento são apresentados e discutidos os desvios apresentados pelos modelos de transferência radiativa BRASIL-SR (Martins, 2001; Stuhlmannet al. 1990) e SUNY-ALBANY (Perez et al., 2002) adotados no Projeto SWERA. As estimativas de irradiação solar global dos modelos NREL e DLR ainda não foram disponibilizados e, portanto não fazem parte deste documento. O modelo HELIOSAT foi incluído nesta etapa como um modelo computacional dereferência com a finalidade de permitir uma comparação dos modelos empregados no Projeto SWERA com um modelo reconhecido pela comunidade científica e empregado na produção de mapas de irradiação solar para a Europa (Beyer et al., 1996; Cano et al., 1986).

235

Untitled Document  

Open Energy Info (EERE)

RELATÓRIO PRELIMINAR DE VALIDAÇÃO E INTERCOMPARAÇÃO RELATÓRIO PRELIMINAR DE VALIDAÇÃO E INTERCOMPARAÇÃO DOS MODELOS DE TRANSFERÊNCIA RADIATIVA ADOTADOS NO PROJETO SWERA Objetivo Este documento tem por objetivo apresentar os resultados obtidos até o momento na etapa de validação cruzada dos diversos modelos de transferência radiativa adotados no Projeto SWERA. Data deste documento A última modificação deste documento foi realizada em: 15/09/2003. Descrição do documento Neste documento são apresentados e discutidos os desvios apresentados pelos modelos de transferência radiativa BRASIL-SR (Martins, 2001; Stuhlmann et al. 1990) e SUNY-ALBANY (Perez et al., 2002) adotados no Projeto SWERA. As estimativas de irradiação solar global dos modelos NREL e DLR ainda não foram disponibilizados e, portanto não fazem parte deste

236

BGP: GPAW | Argonne Leadership Computing Facility  

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

Documentation Feedback Documentation Feedback Please provide feedback to help guide us as we continue to build documentation for our new computing resource. [Feedback Form] BGP: GPAW What is GPAW? GPAW is a density-functional theory (DFT) Python code based on the projector-augmented wave (PAW) method. It uses real-space uniform grids and multi-grid methods or atom-centered basis-functions. Obtaining GPAW GPAW is an open-source code which can be download at https://wiki.fysik.dtu.dk/gpaw/ It relies on the following Python libraries: Atomic Simulation Environment (ASE) - https://wiki.fysik.dtu.dk/ase/ NumPy - http://numpy.scipy.org/ Plus the standard math libraries: BLAS LAPACK ScaLAPACK Building GPAW for Blue Gene/P Build instructions for GPAW can be found here: https://wiki.fysik.dtu.dk/gpaw/install/BGP/surveyor.html

237

Electricity and Development: Global Trends and Key Challenges  

E-Print Network (OSTI)

Electricity and Development: Global Trends and Key Challenges Romeo Pacudan, PhD Risoe National · Prospects for electricity development · Investment requirements · Key challenges · Final remarks #12 and the transport burden in Tanzania. Source: Modi, 2004 #12;2. Energy and Human Development Access to electricity

238

Wind Turbine Pitch Angle Controllers for Grid Frequency Stabilisation  

E-Print Network (OSTI)

Wind Turbine Pitch Angle Controllers for Grid Frequency Stabilisation Clemens Jauch Risø National Laboratory Wind Energy Department P.O. Box 49 DK-4000 Roskilde, Denmark clemens.jauch@risoe.dk Abstract: In this paper it is investigated how active-stall wind turbines can contribute to the stabilisation of the power

239

Measuring Emissions Against an Alternative Future: Fundamental Flaws in the Structure of the Kyoto Protocol's  

E-Print Network (OSTI)

with over 80 CDM and renewable energy professionals involved in CDM project development, including project in renewable energy and hydropower development in India. It also draws on analysis of the UNEP Risoe CDM registered hydro projects in China. This paper presents the following findings: The majority of CDM projects

Kammen, Daniel M.

240

Policy support activities Brazil Rural Energy  

E-Print Network (OSTI)

1 Policy support activities Brazil Rural Energy Enterprise Development (B-REED) Juan Zak UNEP Risoe/7 Main outcomes from policy workshop ­ Most stakeholders agreed that small energy enterprises could play and regulations favoring the installation of off-grid renewable energy systems. #12;12 Second policy support 2

Note: This page contains sample records for the topic "riso dtu 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

ilvVJl!U)jXy Ris-R-503 Metallurgy Department  

E-Print Network (OSTI)

of Danish industries and a group of electricity generating companies. Other energy projects include metal Materials Research, Technology and Materials De- velopment, and Fuel Elements. Furthermore, a survey is included. INIS-descriptors: FUEL ELEMENTS, METALLURGY, NONDESTRUCTIVE TESTING, RESEARCH PROGRAMS, RISOE

242

Metallurgy Department Progress Report for the Period  

E-Print Network (OSTI)

of electricity generating companies. The projects within this area are related to design, manufacture, testing Research, Technology and Materials De- velopment, Fuel Elements. Furthermore, a survey is given-descriptors: FUEL ELEMENTS, METALLURGY, NONDESTRUCTIVE TESTING, RESEARCH PROGRAMS, RISOE NATIONAL LABORATORY. UDC

243

Developing Financial Intermediation Mechanisms for Energy Efficiency Investments in Brazil, China and India  

E-Print Network (OSTI)

1 Developing Financial Intermediation Mechanisms for Energy Efficiency Investments in Brazil, China and India Brazil-China-India Workshop on Energy Efficiency Financing Cross country exchange, outreach and dissemination Juan Zak URC Brazil, May 2004 #12;2 What is URC ? · URC is the UNEP Risoe Centre on Energy

244

Ris National Laboratory Materials Research Department  

E-Print Network (OSTI)

.risoe.dk/rispubl/art/2006_81.pdf Magnetic and Mössbauer spectroscopy studies of nanocrystalline iron oxide aerogels E. E studies of nanocrystalline iron oxide aerogels E. E. Carpentera Department of Chemistry, Virginia to produce iron oxide aerogels. These nanocrystalline aerogels have a pore-solid structure similar to silica

245

Ris-R-1298(EN) Validation of Satellite SAR Offshore  

E-Print Network (OSTI)

. The WEMSAR project is co-ordinated at NERSC, Nansen Environmental and Re- mote Sensing Centre, in Bergen. WEMSAR homepages are available at NERSC http://www.nrsc.no/~wemsar/ and at Risø http://www.risoe.dk/vea- atu/remote/wemsar.htm. The partners are · NERSC Norway Professor Ola Johannessen · Risø National Lab

246

THE DANISH CONSORTIUM FOR WIND ENERGY RESEARCH Lars Landberg1  

E-Print Network (OSTI)

THE DANISH CONSORTIUM FOR WIND ENERGY RESEARCH Lars Landberg1 and Peter Hauge Madsen2 1 Risø National Laboratory, Wind Energy Department, DK-4000 Roskilde, Denmark; lars.landberg@risoe.dk 2 Siemens Wind Power, DK-7330 Brande, Denmark Abstract The Danish Wind Energy Research Consortium

247

Energy Engineering (M.Sc.) Winter Term 2012/2013  

E-Print Network (OSTI)

groups have been formed: · Section Thermal Energy Systems (at DTU Mekanik) · Group Biomass Gasification- centrated on thermal gasification of biomass and utilisation of gasification gas in IC-engines. Important operated on gasification gas · Modelling of Benson boilers for opti- mal flexibility in low load · Design

248

SEMI-AUTOMATIC SUPERVISED CLASSIFICATION OF MINERALS FROM X-RAY MAPPING IMAGES  

E-Print Network (OSTI)

of Mathematical Modelling, Technical University of Denmark, DK-2800 Lyngby, Denmark, aa@imm.dtu.dk¡ Norsk Hydro Research Centre, N-5020 Bergen, Norway, Harald.Flesche@nho.hydro.com¢ Norsk Hydro Technology and Competence in siliciclastic and car- bonate rocks. Twelve chemical elements are mapped from thin sections by energy dispersive

249

THSE DE DOCTORAT DE L'UNIVERSIT PARIS VI -PIERRE ET MARIE  

E-Print Network (OSTI)

85; email: dave@cbs.dtu.dk #12;ABSTRACT. We examined more than 700 DNA sequences (full length also be involved in recombination (Majewski & Ott, 2000). Structural, physicochemical and theoretical­146. Majewski, J. & Ott, J. (2000). Gt repeats are associated with recombination on human chromo- some 22

250

PROGRAMS AND COURSES PROGRAMS AND COURSES  

E-Print Network (OSTI)

. Tel.: +45-45252488; fax: +45- 45931585. E-mail address: dave@cbs.dtu.dk (D. Ussery). 0097 also be involved in recombination (Majewski and Ott, 2000). Structural, physicochemical and theoretical. A quantitative study. J. Mol. Biol. 163, 129­146. Majewski, J., Ott, J., 2000. Gt repeats are associated

California at Davis, University of

251

Environmental Assessment/Regulatory Impact Review/Initial Regulatory Flexibility Analysis for Proposed Amendment 86 to the Fishery Management Plan for Groundfish of the Bering  

E-Print Network (OSTI)

. Tel.: +45-45252488; fax: +45- 45931585. E-mail address: dave@cbs.dtu.dk (D. Ussery). 0097 also be involved in recombination (Majewski and Ott, 2000). Structural, physicochemical and theoretical. A quantitative study. J. Mol. Biol. 163, 129­146. Majewski, J., Ott, J., 2000. Gt repeats are associated

252

Research in Optoelectronics (A) Reprints published in 2005  

E-Print Network (OSTI)

85; email: dave@cbs.dtu.dk #12;ABSTRACT. We examined more than 700 DNA sequences (full length also be involved in recombination (Majewski & Ott, 2000). Structural, physicochemical and theoretical­146. Majewski, J. & Ott, J. (2000). Gt repeats are associated with recombination on human chromo- some 22

Coldren, Larry A.

253

Investigating the Archaeological Context of the Original Fort Madison (13LE10) Battlefield  

E-Print Network (OSTI)

85; email: dave@cbs.dtu.dk #12;ABSTRACT. We examined more than 700 DNA sequences (full length also be involved in recombination (Majewski & Ott, 2000). Structural, physicochemical and theoretical­146. Majewski, J. & Ott, J. (2000). Gt repeats are associated with recombination on human chromo- some 22

Stanier, Charlie

254

cole doctorale d'informatique, tlcommunications et lectronique de Paris Thse de doctorat de l'Universit Paris VI --Pierre-et-Marie-Curie  

E-Print Network (OSTI)

. Tel.: +45-45252488; fax: +45- 45931585. E-mail address: dave@cbs.dtu.dk (D. Ussery). 0097 also be involved in recombination (Majewski and Ott, 2000). Structural, physicochemical and theoretical. A quantitative study. J. Mol. Biol. 163, 129­146. Majewski, J., Ott, J., 2000. Gt repeats are associated

Paris-Sud XI, Université de

255

Danish Greenhouse Gas Reduction Scenarios for 2020  

E-Print Network (OSTI)

Danish Greenhouse Gas Reduction Scenarios for 2020 and 2050 February 2008 Prepared by Ea Energy 54 2.9 ENERGY RESOURCES 55 3 DANISH GREENHOUSE GAS EMISSION 58 3.1 GREENHOUSE GAS SOURCES 58 4 of 2007, Ea Energy Analyses and Risø DTU developed a number of greenhouse gas emissions reduction

256

Energy and Development: Is Energy a Basic Human Right?  

E-Print Network (OSTI)

Energy and Development: Is Energy a Basic Human Right? Skype/Video presentation for senior pupils national Laboratory/DTU Denmark #12;Is energy a basic human right? · What is energy? ­ the ability to make something happen · Different kinds of energy ­ or energy carriers - fuels · What do we use energy for

257

Energy Demand Modelling Introduction to the PhD project  

E-Print Network (OSTI)

Energy Demand Modelling Introduction to the PhD project Erika Zvingilaite Risø DTU System Analysis for optimization of energy systems Environmental effects Global externalities cost of CO2 Future scenarios for the Nordic energy systems 2010, 2020, 2030, 2040, 2050 (energy-production, consumption, emissions, net costs

258

Institute of Environment & Resources Online monitoring and control  

E-Print Network (OSTI)

Institute of Environment & Resources Online monitoring and control of the biogas process Kanokwan Boe #12;#12;Online monitoring and control of the biogas process Kanokwan Boe Ph.D. Thesis May 2006 of the biogas process Cover: Torben Dolin & Julie Camilla Middleton Printed by: DTU tryk Institute

259

Ris Energy Report 6 Energy challenges 3 Energy challenges  

E-Print Network (OSTI)

in their potential for renewable energy. In most countries, the dominant renewable energy source is large-scale hydro-generation biofuels, hydro- gen, fuel cells and low-energy buildings, among others. In transport, there is a targetRisø Energy Report 6 Energy challenges 3 Energy challenges POUL ERIk MORTHORsT, RIsø DTU; Jø

260

Microsoft Word - THE EFFECT OF OBSTACLE#4781.doc  

Open Energy Info (EERE)

THE EFFECT OF OBSTACLES CLOSE TO THE ANEMOMETER MAST LOCATED THE EFFECT OF OBSTACLES CLOSE TO THE ANEMOMETER MAST LOCATED ON A BUILDING ON WIND FLOW IN THE WASP MODEL S. K. KHADEM 1 , J. BADGER*, S. M. ULLAH, S. K. ADITYA, H. R. GHOSH & M. HUSSAIN Renewable Energy Research Centre, University of Dhaka, Bangladesh, e-mail: skkhadem@yahoo.com RISO National Laboratory, Wind Energy & Atmospheric Department, Denmark, e-mail: jake.badger@risoe.dk Abstract - Wind Atlas Analysis and Application Program (WAsP) is a powerful software package which is used for wind energy assessment for any location using the data of a nearby location under the same climatic condition. In this work WAsP has been used to predict potential areas of Kutubdia, an Island of Bangladesh, for installation of wind generators. As the mast is on the roof of Bangladesh Meteorological Department (BMD)

Note: This page contains sample records for the topic "riso dtu 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

Overcoming Barriers to the Transfer and Diffusion of Climate Technologies |  

Open Energy Info (EERE)

Overcoming Barriers to the Transfer and Diffusion of Climate Technologies Overcoming Barriers to the Transfer and Diffusion of Climate Technologies Jump to: navigation, search Tool Summary Name: Overcoming Barriers to the Transfer and Diffusion of Climate Technologies Agency/Company /Organization: UNEP-Risoe Centre Sector: Energy, Climate Focus Area: Greenhouse Gas Topics: Technology characterizations Resource Type: Publications, Guide/manual, Training materials Website: uneprisoe.org/ Cost: Free Overcoming Barriers to the Transfer and Diffusion of Climate Technologies Screenshot References: UNEP-Risoe[1] Logo: Overcoming Barriers to the Transfer and Diffusion of Climate Technologies This guidebook deals with the transfer of proven technologies both between countries and within them. "The purpose of the TNA project is to assist participant developing country

262

rK6)ao>x -^ i D) Ris-M-2906(ENf  

E-Print Network (OSTI)

r»K6)ao>x -^ « i D) Risø-M-2906(ENf Main Results from Risø1 s Wind-Diesel Programme 1984Risø's ' RISO-M--2906 Wind-Diesel Programme 1984-1990 DE92 540820 Per Lundsager and Carl Jørgen Christensen presents the results of the wind-diesel work done in projects at Risø National Laboratory during the years

263

Renewable Energy Markets and Policies  

E-Print Network (OSTI)

Renewable Energy Markets and Policies Romeo Pacudan, PhD Risoe National Laboratory, Denmark HAPUA Working Group No. 4 Meeting Renewable Energy and Environment in ASEAN Melia Hotel, Hanoi, Vietnam 23-24 June 2005 #12;1. Renewables in Energy Supply Share in Primary Energy Supply 5,9 5,7 4,8 5,8 0 1 2 3 4 5

264

En vue de l'obtention du DDOOCCTTOORRAATT DDEE LL''UUNNIIVVEERRSSIITT DDEE TTOOUULLOOUUSSEE  

E-Print Network (OSTI)

la bobine K.W-1 Rca Résistance de convection thermique de carter K.W-1 Rco-ca Résistance de contact thermique couronne-carter K.W-1 rd Résistance dynamique des diodes Rdc Résistance de la machine DC convection thermique entre le carter et l'air ambiant K.W-1 Riso Résistance thermique de l'isolation K.W-1

Paris-Sud XI, Université de

265

Sri Lanka | OpenEI  

Open Energy Info (EERE)

Sri Lanka Sri Lanka Dataset Summary Description (Abstract): 50 m wind power density (W/m2) maps of Sri Lanka (Purpose): To provide information on the wind resource potential within Sri Lanka, with supplemental information on political boundaries, transmission lines, roads, and terrain relief. Source NREL Date Released June 30th, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords GEF GIS maps NREL Sri Lanka SWERA UNEP wind Data application/zip icon Download Maps (zip, 799.1 KiB) 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) Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset

266

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)

267

maps | OpenEI  

Open Energy Info (EERE)

maps maps Dataset Summary Description (Abstract): 50 m wind power density (W/m2) maps of Sri Lanka (Purpose): To provide information on the wind resource potential within Sri Lanka, with supplemental information on political boundaries, transmission lines, roads, and terrain relief. Source NREL Date Released June 30th, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords GEF GIS maps NREL Sri Lanka SWERA UNEP wind Data application/zip icon Download Maps (zip, 799.1 KiB) 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) Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset

268

USAID | OpenEI  

Open Energy Info (EERE)

USAID USAID Dataset Summary Description (Abstract): This web site contains high-resolution wind and solar resource maps and data for Pakistan. (Purpose): The products contained on this web site were developed by the U.S. National Renewable Energy Laboratory (NREL) for the U.S. Agency for International Development's (USAID) South Asia Regional Initiative for Energy Cooperation (SARI/E). Source NREL Date Released December 26th, 2007 (6 years ago) Date Updated December 26th, 2007 (6 years ago) Keywords NREL pakistan solar SUNY SWERA USAID wind Data Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2007 License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset Usefulness of the metadata

269

Asia | OpenEI  

Open Energy Info (EERE)

10 10 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142281010 Varnish cache server Asia 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 Asia DNI GEF GHI insolation NREL solar SWERA TILT UNEP Data application/zip icon Download Shapefile and Cell Regions (zip, 20.2 MiB) text/csv icon Download Data (csv, 960.7 KiB)

270

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)

271

Technical Report - Central America Wind Energy Resource Assessment | OpenEI  

Open Energy Info (EERE)

Central America Wind Energy Resource Assessment Central America Wind Energy Resource Assessment Dataset Summary Description (Abstract): This document describes the development of detailed high-resolution (1 km2) wind energy resource maps for the region of Central America that includes the countries of Belize, El Salvador, Guatemala, Honduras, and Nicaragua. (Purpose): To provide information on the wind resource potential within the following countries in Central America: Belize, El Salvador, Guatemala, Honduras, and Nicaragua. Source NREL Date Released August 21st, 2006 (8 years ago) Date Updated August 21st, 2006 (8 years ago) Keywords Central America documentation GEF NREL SWERA UNEP wind Data application/pdf icon Download Report (pdf, 60.9 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

272

UAE | OpenEI  

Open Energy Info (EERE)

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

273

annual average heating degree days | OpenEI  

Open Energy Info (EERE)

average heating degree days average heating degree days Dataset Summary Description (Abstract): Heating Degree Days below 18° C (degree days)The monthly accumulation of degrees when the daily mean temperature is below 18° C.NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Nov 2007)22-year Monthly Average & Annual Sum (July 1983 - June 2005)Parameter: Heating Degree Days Below 18 degrees C (degree days)Internet: http://eosweb.larc.nasa.gov/sse/ Source U.S. National Aeronautics and Space Administration (NASA), Surface meteorology and Solar Energy (SSE) Date Released March 31st, 2009 (5 years ago) Date Updated April 01st, 2009 (5 years ago) Keywords annual average heating degree days climate GIS NASA SWERA UNEP Data application/zip icon Download Shapefile (zip, 2.7 MiB)

274

United Arab Emirates | OpenEI  

Open Energy Info (EERE)

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

275

PAR | OpenEI  

Open Energy Info (EERE)

PAR PAR 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 Source INPE (National Institute for Space 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 INPE LABSOLAR PAR solar SWERA UNEP Data application/zip icon Download Shapefile (zip, 10.4 MiB) text/csv icon Download Data (csv, 15.7 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

276

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

Open Energy Info (EERE)

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

277

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

278

GEF. latitude tilt | OpenEI  

Open Energy Info (EERE)

GEF. latitude tilt GEF. latitude tilt Dataset Summary Description (Abstract): Latitude tilted 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 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 GEF. latitude tilt INPE LABSOLAR solar SWERA TILT UNEP Data application/zip icon Download Shapefile (zip, 706.1 KiB) text/csv icon Download Data (csv, 999.1 KiB) Quality Metrics Level of Review Some Review

279

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

280

GeoModel | OpenEI  

Open Energy Info (EERE)

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

Note: This page contains sample records for the topic "riso dtu 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

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

282

Wind: wind speed and wind power density maps at 10m and 50m above surface  

Open Energy Info (EERE)

maps at 10m and 50m above surface maps at 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 SWERA UNEP wind Data application/zip icon Download Maps (zip, 36.3 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2000 - 2004 License License Other or unspecified, see optional comment below

283

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

284

Guatemala | OpenEI  

Open Energy Info (EERE)

Guatemala 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 Time Period 2005 License

285

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

286

DNI GHI | OpenEI  

Open Energy Info (EERE)

DNI GHI DNI GHI Dataset Summary Description (Abstract): Zip file contains year-site specific files including time series of global, direct and diffuse irradiance (Purpose): The time series are useful for performing site specific simulation of customized solar energy systems Source Richard Perez Date Released June 30th, 2004 (10 years ago) Date Updated November 07th, 2007 (7 years ago) Keywords DNI GHI hourly data Nicaragua solar SUNY SWERA TILT UNEP Data application/zip icon Download Data (zip, 3 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 01/01/1998 - 12/31/2002 License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset Usefulness of the metadata Average vote Your vote

287

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

288

afghanistan | OpenEI  

Open Energy Info (EERE)

afghanistan afghanistan Dataset Summary Description (Abstract): This web site contains high-resolution wind and solar resource maps and data for Afghanistan.> (Purpose): The products contained on this web site were developed by the U.S. National Renewable Energy Laboratory (NREL) for the U.S. Agency for International Development's (USAID) South Asia Regional Initiative for Energy Cooperation (SARI/E). Source NREL Date Released December 26th, 2007 (6 years ago) Date Updated December 26th, 2007 (6 years ago) Keywords afghanistan GIS NREL solar SWERA USAID wind Data Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2007 License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset

289

Microsoft Word - China_10km_solar_documentation.doc  

Open Energy Info (EERE)

China China Final Report for a Country Assessment 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 for the SWERA project funded by GEF / UNEP. The results presented here were produced by state-of-the-art methods with best-known data. The DLR (Deutsches Zentrum für

290

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

Open Energy Info (EERE)

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

291

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

292

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

Open Energy Info (EERE)

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

293

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)

294

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

295

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)

296

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

297

CRED | OpenEI  

Open Energy Info (EERE)

CRED CRED Dataset Summary Description (Abstract): Documentation of the satellite-based high resolution solar resource assessment for China provided by DLR. The high resolution solar data (10kmx10km) provide country maps of the annual and monthly sums of hourly global horizontal and direct normal irradiance (GHI and DNI) for the year 2000, 2002 and 2003. Additionally, for selected sites hourly values of GHI and DNI are provided. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 08th, 2004 (10 years ago) Keywords China CRED CREIA DLR documentation GEF solar SWERA UNEP Data application/pdf icon Download Report (pdf, 6.1 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

298

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

Open Energy Info (EERE)

Kenya from DLR Kenya from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Direct Normal Irradiance (DNI) for Kenya for the years 2000, 2001 and 2002. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the country report for additional background information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DLR DNI GEF GIS Kenya solar SWERA UNEP Data text/csv icon Download Data (csv, 2.5 MiB) application/zip icon Download Shapefile (zip, 1.3 MiB)

299

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)

300

Wind: wind power density maps at 50 m above ground and 1km resolution for  

Open Energy Info (EERE)

Cuba from NREL Cuba from NREL Dataset Summary Description (Abstract): Raster GIS data, 50 m wind power density for Cuba. (Purpose): To provide information on the wind resource potential in Cuba. Source NREL Date Released September 02nd, 2004 (10 years ago) Date Updated October 30th, 2007 (7 years ago) Keywords Cuba GEF GIS maps NREL SWERA UNEP wind Data application/zip icon Download Maps (zip, 839.7 KiB) 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) Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote Ease of access Average vote Your vote Overall rating Average vote Your vote Comments

Note: This page contains sample records for the topic "riso dtu 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

GHI | OpenEI  

Open Energy Info (EERE)

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

302

Cuba | OpenEI  

Open Energy Info (EERE)

Cuba Cuba Dataset Summary Description (Abstract): Raster GIS data, 50 m wind power density for Cuba. (Purpose): To provide information on the wind resource potential in Cuba. Source NREL Date Released September 02nd, 2004 (10 years ago) Date Updated October 30th, 2007 (7 years ago) Keywords Cuba GEF GIS maps NREL SWERA UNEP wind Data application/zip icon Download Maps (zip, 839.7 KiB) 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) Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote Ease of access Average vote Your vote Overall rating Average vote Your vote Comments Login or register to post comments

303

Wind: wind power density maps at 50m above ground and 1km resolution for  

Open Energy Info (EERE)

Ghana from NREL Ghana from NREL Dataset Summary Description (Abstract): Raster GIS data, 50 m wind power density for Ghana. (Purpose): To provide information on the wind resource potential in Ghana. Source NREL Date Released September 02nd, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords GEF Ghana GIS maps NREL SWERA UNEP wind Data application/zip icon Download Maps (zip, 661.4 KiB) 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) Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote Ease of access Average vote Your vote Overall rating Average vote Your vote

304

Turkey | OpenEI  

Open Energy Info (EERE)

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

305

DTIE | OpenEI  

Open Energy Info (EERE)

24 24 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142279024 Varnish cache server DTIE 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. Source UNEP Date Released January 31st, 2003 (11 years ago) Date Updated October 20th, 2007 (7 years ago)

306

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

Open Energy Info (EERE)

Ghana from DLR Ghana from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Direct Normal Irradiance (DNI) for Ghana for the years 2000, 2001 and 2002. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the country report for additional background information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DLR DNI Ghana solar SWERA UNEP Data text/csv icon Download Data (csv, 1 MiB) application/zip icon Download Shapefile (zip, 519.6 KiB)

307

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

Open Energy Info (EERE)

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

308

pakistan | OpenEI  

Open Energy Info (EERE)

pakistan pakistan Dataset Summary Description (Abstract): This web site contains high-resolution wind and solar resource maps and data for Pakistan. (Purpose): The products contained on this web site were developed by the U.S. National Renewable Energy Laboratory (NREL) for the U.S. Agency for International Development's (USAID) South Asia Regional Initiative for Energy Cooperation (SARI/E). Source NREL Date Released December 26th, 2007 (6 years ago) Date Updated December 26th, 2007 (6 years ago) Keywords NREL pakistan solar SUNY SWERA USAID wind Data Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2007 License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset Usefulness of the metadata

309

DLR | OpenEI  

Open Energy Info (EERE)

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

310

Ghana | OpenEI  

Open Energy Info (EERE)

Ghana Ghana Dataset Summary Description (Abstract): Raster GIS data, 50 m wind power density for Ghana. (Purpose): To provide information on the wind resource potential in Ghana. Source NREL Date Released September 02nd, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords GEF Ghana GIS maps NREL SWERA UNEP wind Data application/zip icon Download Maps (zip, 661.4 KiB) 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) Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote Ease of access Average vote Your vote Overall rating Average vote Your vote Comments Login or register to post comments

311

SUNY | OpenEI  

Open Energy Info (EERE)

SUNY SUNY Dataset Summary Description (Abstract): This web site contains high-resolution wind and solar resource maps and data for Pakistan. (Purpose): The products contained on this web site were developed by the U.S. National Renewable Energy Laboratory (NREL) for the U.S. Agency for International Development's (USAID) South Asia Regional Initiative for Energy Cooperation (SARI/E). Source NREL Date Released December 26th, 2007 (7 years ago) Date Updated December 26th, 2007 (7 years ago) Keywords NREL pakistan solar SUNY SWERA USAID wind Data Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2007 License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset Usefulness of the metadata

312

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

Open Energy Info (EERE)

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

313

Microsoft Word - Nepal_10km_solar_country_report.doc  

Open Energy Info (EERE)

Nepal Nepal 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. The results presented here were produced by state-of-the-art methods with best-known data. The

314

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

Open Energy Info (EERE)

West China from DLR West China from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Global Horizontal Irradiance (GHI) for China for the years 2000, 2002 and 2003. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the country report for additional information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords China CRED CREIA DLR GHI GIS solar SWERA UNEP Data application/zip icon Download Shapefile (zip, 4.4 MiB) text/csv icon Download Data (csv, 8.9 MiB)

315

Ethiopia | OpenEI  

Open Energy Info (EERE)

Ethiopia Ethiopia Dataset Summary Description (Abstract): Solar and wind energy resources in Ethiopia have not been given due attention in the past. Some of the primary reasons for under consideration of these resources are lack of awareness of their potential in the country, the role they can have in the overall energy mix and the social benefits associated with them. Source Ethiopian Rural Energy Development & Promotion Center Date Released October 31st, 2007 (7 years ago) Date Updated April 25th, 2008 (6 years ago) Keywords documentation Ethiopia GIS solar SWERA UNEP wind Data application/pdf icon Download Report (pdf, 1.6 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2007 License License Open Data Commons Public Domain Dedication and Licence (PDDL)

316

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

Open Energy Info (EERE)

Ghana from DLR Ghana from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Global Horizontal Irradiance (GHI) for Ghana for the years 2000, 2001 and 2002. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the documentation file for additional information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DLR Ghana GHI GIS solar SWERA UNEP Data application/zip icon Download Shapefile (zip, 504 KiB) text/csv icon Download Data (csv, 1 MiB)

317

direct normal | OpenEI  

Open Energy Info (EERE)

normal normal 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 (10 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 Time Period License License Other or unspecified, see optional comment below

318

CREIA | OpenEI  

Open Energy Info (EERE)

CREIA CREIA Dataset Summary Description (Abstract): Documentation of the satellite-based high resolution solar resource assessment for China provided by DLR. The high resolution solar data (10kmx10km) provide country maps of the annual and monthly sums of hourly global horizontal and direct normal irradiance (GHI and DNI) for the year 2000, 2002 and 2003. Additionally, for selected sites hourly values of GHI and DNI are provided. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 08th, 2004 (10 years ago) Keywords China CRED CREIA DLR documentation GEF solar SWERA UNEP Data application/pdf icon Download Report (pdf, 6.1 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

319

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)

320

Portuguese | OpenEI  

Open Energy Info (EERE)

907 907 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142280907 Varnish cache server Portuguese Dataset Summary Description (Abstract): Neste documento são apresentados e discutidos os desvios apresentados pelos modelos de transferência radiativa BRASIL-SR (Martins, 2001; Stuhlmannet al. 1990) e SUNY-ALBANY (Perez et al., 2002) adotados no Projeto SWERA. As estimativas de irradiação solar global dos modelos NREL e DLR ainda não foram disponibilizados e, portanto não fazem parte deste documento. O modelo HELIOSAT foi incluído nesta etapa como um modelo computacional dereferência com a finalidade de permitir Source UNEP Date Released September 15th, 2003 (11 years ago)

Note: This page contains sample records for the topic "riso dtu 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: Energy Analysis - News Archive 2004  

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

4 4 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2006 | 2005 | 2004 | 2003 | 2002 | 2001 Energy Analysis Forum Discusses State/Regional Electricity Markets Solar and Wind Energy Resource Assessment (SWERA) Model Online Green Power Marketing Conference Features New York Governor New Green Power Publications Available Online Forum to Examine State/Regional Electricity Markets HOMER® Adds Air Quality Analysis Capabilities NREL Sponsors Workshop on GIS/Regionalization for EERE December 2004 Energy Analysis Forum Discusses State/Regional Electricity Markets The National Renewable Energy Laboratory held its fourth Energy Analysis Forum on November 9-10, 2004, in Golden, Colorado. The two-day event, "Understanding State and Regional Electricity Markets: Analytic Issues for

322

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

323

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

Open Energy Info (EERE)

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

324

El Salvador | OpenEI  

Open Energy Info (EERE)

El Salvador 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 Frequency Time Period 2005 License

325

Microsoft Word - Kenya_10km_solar_country_report.doc  

Open Energy Info (EERE)

Kenya Kenya 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. The results presented here were produced by state-of-the-art methods with best-known data. The

326

Ireland | OpenEI  

Open Energy Info (EERE)

Ireland Ireland Dataset Summary Description (Abstract): The wind climate of Ireland has been calculated using the Karlsruhe Atmospheric Mesoscale Model KAMM. The climatology is represented by 65 frequency classes of geostropic wind that were selected as equiangular direction sectors and speed intervals with equal frequency in a sector. The results are compared with data from the European Wind Atlas which have been analyzed using the Wind Atlas Analysis and Application Program, WAsP. The prediction of the areas of higher wind power is fair. Stations with low power are overpredicted. Source Risø Date Released July 04th, 1997 (17 years ago) Date Updated July 04th, 1997 (17 years ago) Keywords documentation Ireland SWERA wind Data Quality Metrics Level of Review Some Review

327

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)

328

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

Open Energy Info (EERE)

Nepal from DLR Nepal from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Direct Normal Irradiance (DNI) for Nepal for the years 2000, 2002 and 2003. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the country report for additional background information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DLR DNI GIS Nepal solar SWERA UNEP Data text/csv icon Download Data (csv, 1.2 MiB) application/zip icon Download Shapefile (zip, 600.4 KiB)

329

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)

330

Honduras | OpenEI  

Open Energy Info (EERE)

Honduras Honduras 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 Honduras NREL SUNY SWERA UNEP Data application/zip icon Download Executable Toolkit & Documentation (zip, 63.8 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

331

Wind: wind power density maps at 50m above ground and 1km resolution for  

Open Energy Info (EERE)

924 924 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142257924 Varnish cache server Wind: wind power density maps at 50m above ground and 1km resolution for Central America from NREL Dataset Summary Description (Abstract): 50 m wind power density (W/m2) maps of Central America. (Purpose): To provide information on the wind resource potential within the following countries in Central America: Belize, El Salvador, Guatemala, Honduras, and Nicaragua. Source NREL Date Released June 30th, 2004 (10 years ago) Date Updated October 30th, 2007 (7 years ago) Keywords Central America GIS maps NREL SWERA UNEP wind Data application/zip icon Download Maps (zip, 2.2 MiB) Quality Metrics

332

CEPEL | OpenEI  

Open Energy Info (EERE)

CEPEL CEPEL Dataset Summary Description (Abstract): Annual average of the aeolic potential at 50m. Content: wind speed in m/s, power class (7 classes), power density in W/m2 and Weibull k value organized into cells with 40km x 40km (Purpose): The thematic map by code of colors permits quick viewing of all the Brazilian territory dataset. That map indicates, for the height of 50m, the annual average, in W/m2, of wind speed, power class, power density and Weibull k value. Source CEPEL (Electric Energy Research Center/Federal University of Rio de Janeiro) - Brazil Date Released August 08th, 2009 (5 years ago) Date Updated August 08th, 2009 (5 years ago) Keywords Brazil CEPEL INPE SWERA UNEP wind Data application/zip icon Download Shapefile (zip, 633.3 KiB) text/csv icon Download Data (csv, 358.1 KiB)

333

meteorologic | OpenEI  

Open Energy Info (EERE)

meteorologic meteorologic Dataset Summary Description (Abstract): A data set of hourly values of solar radiation and meteorological elements for a 1-year period. (Purpose): Simulations Source NREL Date Released August 02nd, 2004 (10 years ago) Date Updated November 07th, 2007 (7 years ago) Keywords GEF meteorologic NREL Sri Lanka SWERA TMY UNEP Data application/zip icon Download Data (zip, 2.4 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 1973 - 2002 License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote Ease of access Average vote Your vote Overall rating Average vote Your vote

334

Determinación del potencial solar y eólico en El Salvador | OpenEI  

Open Energy Info (EERE)

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

335

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

Open Energy Info (EERE)

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

336

Producing Satellite-Derived Irradiances in Complex Arid Terrain | OpenEI  

Open Energy Info (EERE)

Producing Satellite-Derived Irradiances in Complex Arid Terrain Producing Satellite-Derived Irradiances in Complex Arid Terrain Dataset Summary Description (Abstract): This paper describes a methodology to correct satellite-derived irradiances over complex terrain. The correction applies to satellite models using visible images from geostationary satellites. (Purpose): Solar model documentation Source SUNY Albany Date Released June 26th, 2003 (11 years ago) Date Updated August 29th, 2003 (11 years ago) Keywords methodology solar SWERA UNEP validation Data application/pdf icon Download Report (pdf, 690.1 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 1999 - 2002 License License Other or unspecified, see optional comment below Comment Please cite publication as follows: Perez, R., Ineichen, P., Moore, K., Kmiecik, M., Renné, D., and George, R. 2002.Producing Satellite-Derived Irradiances in Complex Arid Terrain. ASES 2003, Austin TX and submitted for publication in Solar Energy

337

relative humidity | OpenEI  

Open Energy Info (EERE)

relative humidity relative humidity Dataset Summary Description (Abstract): Relative Humidity at 10 m Above The Surface Of The Earth (%)NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Nov 2007)22-year Monthly & Annual Average (July 1983 - June 2005)Parameter: Relative Humidity at 10 m Above The Surface Of The Earth (%)Internet: http://eosweb.larc.nasa.gov/sse/Note 1: SSE Methodology & Accuracy sections onlineNote 2: Lat/Lon values indicate the lower left corner of a 1x1 degree region. Negative values are south and west; Source U.S. National Aeronautics and Space Administration (NASA), Surface meteorology and Solar Energy (SSE) Date Released March 31st, 2009 (5 years ago) Date Updated Unknown Keywords climate GIS NASA relative humidity SWERA UNEP

338

United Nations | OpenEI  

Open Energy Info (EERE)

Nations Nations 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 Frequency Time Period 1997 License License Other or unspecified, see optional comment below

339

Geospatial Data | OpenEI  

Open Energy Info (EERE)

Data Data Dataset Summary Description (Abstract): This Geospatial Toolkit contains the lite (with lower resolution data) version of the GsT interfaced to HOMER for Pakistan. (Purpose): The products contained on this web site were developed by the U.S. National Renewable Energy Laboratory (NREL) for the U.S. Agency for International Development's (USAID) South Asia Regional Initiative for Energy Cooperation (SARI/E). Source NREL Date Released December 31st, 2007 (7 years ago) Date Updated March 09th, 2010 (4 years ago) Keywords Geospatial Data GIS NREL pakistan SUNY SWERA UNEP USAID Data application/zip icon Download Executable Toolkit & Documentation (zip, 16.3 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2007 - 2010

340

OpenEI:Projects/Public Resources | Open Energy Information  

Open Energy Info (EERE)

This page is used to coordinate the plans to collect energy data, tools, This page is used to coordinate the plans to collect energy data, tools, models, and other digital assets (that have appropriate licensing terms) within OpenEI. Contents 1 Goals, Tips, and Strategies 2 Inventory of Specific Resources 3 Inventory of General Sources 4 Inventory of Potential Sources 5 Others (Quick Links) 6 Data from the 2008 Carbon Sequestration Atlas of the United States and Canada (by NETL) 7 NREL GIS Data 8 SWERA GIS and TMY Data (often NREL or others are original source) 9 See Also 10 Participants Goals, Tips, and Strategies We met our goal for December 2010 -- 100 datasets -- and we surpassed it!. Let's continue to add datasets available in the lists below, including the "General Resources" list. We still want to identify and keep track of NREL

Note: This page contains sample records for the topic "riso dtu 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

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

342

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

Open Energy Info (EERE)

Ethiopia from DLR Ethiopia from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Global Horizontal Irradiance (GHI) for Ethiopia for the years 2000, 2001 and 2002. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the documentation file for additional information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DLR Ethiopia GEF GHI GIS solar SWERA UNEP Data application/zip icon Download Shapefile (zip, 2.8 MiB) text/csv icon Download Data (csv, 5.6 MiB)

343

QuikScat | OpenEI  

Open Energy Info (EERE)

QuikScat QuikScat 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 (8 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 License License Open Data Commons Public Domain Dedication and Licence (PDDL)

344

Central America | OpenEI  

Open Energy Info (EERE)

Central America Central America Dataset Summary Description (Abstract): 50 m wind power density (W/m2) maps of Central America. (Purpose): To provide information on the wind resource potential within the following countries in Central America: Belize, El Salvador, Guatemala, Honduras, and Nicaragua. Source NREL Date Released June 30th, 2004 (10 years ago) Date Updated October 30th, 2007 (7 years ago) Keywords Central America GIS maps NREL SWERA UNEP wind Data application/zip icon Download Maps (zip, 2.2 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2004 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

345

UNEP | OpenEI  

Open Energy Info (EERE)

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

346

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

347

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

Open Energy Info (EERE)

Nepal from DLR Nepal from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Global Horizontal Irradiance (GHI) for Nepal for the years 2000, 2002 and 2003. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the country report for additional information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DLR GEF GHI GIS Nepal solar SWERA UNEP Data application/zip icon Download Shapefile (zip, 593.8 KiB) text/csv icon Download Data (csv, 1.2 MiB)

348

Microsoft Word - Sri_Lanka_10km_solar_country_report.doc  

Open Energy Info (EERE)

Lanka Lanka 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, DNI-method, GHI-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. The results presented here were produced by state-of-the-art methods with best-known data. The

349

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

Open Energy Info (EERE)

Sri Lanka from DLR Sri Lanka from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Global Horizontal Irradiance (GHI) for Sri Lanka for the years 2000, 2002 and 2003. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the country report for additional information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DLR GHI GIS solar Sri Lanka SWERA UNEP Data text/csv icon Download Data (csv, 296.1 KiB) application/zip icon Download Shapefile (zip, 153.7 KiB)

350

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

Open Energy Info (EERE)

China from DLR China from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Direct Normal Irradiance (DNI) for China for the years 2000, 2002 and 2003. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the country report for additional background information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords China CRED CREIA DLR DNI GEF GIS solar SWERA UNEP Data text/csv icon Download Data (csv, 8.8 MiB) application/zip icon Download Shapefile (zip, 4.4 MiB)

351

coalbed methane | OpenEI  

Open Energy Info (EERE)

coalbed methane coalbed methane Dataset Summary Description (Abstract): Each TMY is a data set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. The container file contains one TMY file for each selected station in the region, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations Source NREL Date Released April 30th, 2005 (9 years ago) Date Updated November 07th, 2007 (7 years ago) Keywords coalbed methane GEF Kenya NREL SWERA TMY UNEP Data application/zip icon Download Data (zip, 5.4 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

352

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

Open Energy Info (EERE)

Bangladesh from DLR Bangladesh from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Global Horizontal Irradiance (GHI) for Bangladesh for the years 2000, 2002 and 2003. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the country report for additional information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords Bangladesh DLR GEF GHI GIS solar SWERA UNEP Data text/csv icon Download Data (csv, 916.5 KiB) application/zip icon Download Shapefile (zip, 479.3 KiB)

353

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

Open Energy Info (EERE)

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

354

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

Open Energy Info (EERE)

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

355

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

356

Wind: wind power density maps at 50 m above ground and 400m resolution for  

Open Energy Info (EERE)

400m resolution for 400m resolution for Sri Lanka from NREL Dataset Summary Description (Abstract): 50 m wind power density (W/m2) maps of Sri Lanka (Purpose): To provide information on the wind resource potential within Sri Lanka, with supplemental information on political boundaries, transmission lines, roads, and terrain relief. Source NREL Date Released June 30th, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords GEF GIS maps NREL Sri Lanka SWERA UNEP wind Data application/zip icon Download Maps (zip, 799.1 KiB) 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) Comment Rate this dataset Usefulness of the metadata Average vote Your vote

357

TILT | OpenEI  

Open Energy Info (EERE)

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

358

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

Open Energy Info (EERE)

Sri Lanka from DLR Sri Lanka from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Direct Normal Irradiance (DNI) for Sri Lanka for the years 2000, 2002 and 2003. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the country report for additional background information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DLR DNI GEF GIS solar Sri Lanka SWERA UNEP Data application/zip icon Download Shapefile (zip, 155.1 KiB) text/csv icon Download Data (csv, 295.7 KiB)

359

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

Open Energy Info (EERE)

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

360

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

Note: This page contains sample records for the topic "riso dtu 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

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

362

atmoshperic water vapor | OpenEI  

Open Energy Info (EERE)

atmoshperic water vapor atmoshperic water vapor Dataset Summary Description (Abstract): Monthly Average Solar Resource for flat-plate collectors tilted at latitude for China. Source NREL Date Released April 12th, 2005 (9 years ago) Date Updated October 30th, 2007 (7 years ago) Keywords atmoshperic water vapor China GEF GIS NREL solar SWERA TILT UNEP Data application/zip icon Download Shapefile (zip, 625.6 KiB) text/csv icon Download Data (csv, 704.1 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 01/01/1985 - 12/31/1991 License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote Ease of access

363

Microsoft Word - chinadocument_de-dh-0506.doc  

Open Energy Info (EERE)

Mapping Activity Mapping Activity Introduction This document describes the development of detailed high-resolution (1 km 2 ) wind energy resource maps for specific regions of eastern China. 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 vast areas of eastern China totaling about 2.7 million km 2 of land area and more than 3 million km 2 including offshore areas. These areas included much of Inner Mongolia, northeastern China, coastal and offshore areas of northern, central, and southern China, Hainan Island, and the Poyang Lake and Three Gorges areas of south-central China. For presentation of the maps and discussion of the wind

364

América Latina | OpenEI  

Open Energy Info (EERE)

América Latina América Latina 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 (8 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 Time Period 2005

365

insolation | OpenEI  

Open Energy Info (EERE)

2 2 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142278432 Varnish cache server insolation 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 Asia DNI GEF GHI insolation NREL solar SWERA TILT UNEP Data application/zip icon Download Shapefile and Cell Regions (zip, 20.2 MiB) text/csv icon Download Data (csv, 960.7 KiB)

366

atmospheric pressure | OpenEI  

Open Energy Info (EERE)

pressure pressure 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 Source U.S. National Aeronautics and Space Administration (NASA), Surface meteorology and Solar Energy (SSE) Date Released March 31st, 2009 (5 years ago) Date Updated Unknown Keywords atmospheric pressure climate NASA SWERA UNEP Data text/csv icon Download Data (csv, 46 MiB)

367

Microsoft Word - Ethiopia_10km_solar_country_report.doc  

Open Energy Info (EERE)

Ethiopia Ethiopia 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. The results presented here were produced by state-of-the-art methods with best-known data. The

368

validation | OpenEI  

Open Energy Info (EERE)

validation validation Dataset Summary Description (Abstract): 31Conclusiones y recomendacionesEl método de cálculo de la radiación solar global desarrollado ha obtenido resultadoscomparables a otros métodos revisados en la bibliografía. A diferencia de muchos deestos métodos, que han sido ajustados y refinados por sus autores a lo largo de variosaños de trabajo, este es completamente nuevo y parte de un enfoque diferente, por loque tiene un gran potencial de ajuste y sintonización.Algunos cambios que pueden sugerirse son tomar distribuciones espaciales ytemporales Source Instituto de Meteorología de Cuba Date Released November 30th, 2005 (9 years ago) Date Updated November 07th, 2007 (7 years ago) Keywords América Latina Cuba documentation solar SWERA validation

369

DNI | OpenEI  

Open Energy Info (EERE)

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

370

DOE Science Showcase - Wind Power  

Office of Scientific and Technical Information (OSTI)

DOE Science Showcase - Wind Power DOE Science Showcase - Wind Power Wind Powering America Wind Powering America is a nationwide initiative of the U.S. Department of Energy's Wind Program designed to educate, engage, and enable critical stakeholders to make informed decisions about how wind energy contributes to the U.S. electricity supply. Wind Power Research Results in DOE Databases IEA Wind Task 26: The Past and Future Cost of Wind Energy, Work Package 2, Energy Citations Database NREL Triples Previous Estimates of U.S. Wind Power Potential, Energy Citations Database Dynamic Models for Wind Turbines and Wind Power Plants, DOE Information Bridge 2012 ARPA-E Energy Innovation Summit: Profiling General Compression: A River of Wind, ScienceCinema, multimedia Solar and Wind Energy Resource Assessment (SWERA) Data from the

371

DOE Science Showcase - Wind Power | OSTI, US Dept of Energy, Office of  

Office of Scientific and Technical Information (OSTI)

Science Showcase - Wind Power Science Showcase - Wind Power Wind Powering America is a nationwide initiative of the U.S. Department of Energy's Wind Program designed to educate, engage, and enable critical stakeholders to make informed decisions about how wind energy contributes to the U.S. electricity supply. Wind Power Research Results in DOE Databases IEA Wind Task 26: The Past and Future Cost of Wind Energy, Work Package 2, Energy Citations Database NREL Triples Previous Estimates of U.S. Wind Power Potential, Energy Citations Database Dynamic Models for Wind Turbines and Wind Power Plants, DOE Information Bridge 2012 ARPA-E Energy Innovation Summit: Profiling General Compression: A River of Wind, ScienceCinema, multimedia Solar and Wind Energy Resource Assessment (SWERA) Data from the

372

hourly data | OpenEI  

Open Energy Info (EERE)

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

373

sunshine | OpenEI  

Open Energy Info (EERE)

sunshine sunshine Dataset Summary Description (Abstract): Sunshine duration recorders are widely used to estimate global radiation from sunshine duration data using Angstrom type correlations. The number of pyranometer stations that measure global radiation is inadequate in Bangladesh. 31 stations of Bangladesh Meteorological department records both sunshine duration and cloud cover data. A study of the data shows that 6 of the stations do not have satisfactory data for sunshine duration, while cloud cover data for all stations appear to be reasonably good. Source Renewable Energy Research Centre Date Released October 22nd, 2003 (11 years ago) Date Updated October 22nd, 2003 (11 years ago) Keywords Bangladesh solar sunshine SWERA UNEP Data application/pdf icon Download Report (pdf, 663.2 KiB)

374

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

375

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)

376

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

Open Energy Info (EERE)

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

377

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)

378

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

Open Energy Info (EERE)

Kenya from DLR Kenya from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Global Horizontal Irradiance (GHI) for Kenya for the years 2000, 2001 and 2002. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the documentation file for additional information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DLR GEF GHI GIS Kenya NREL solar SWERA UNEP Data application/zip icon Download Shapefile (zip, 1.3 MiB) text/csv icon Download Data (csv, 2.5 MiB)

379

Microsoft Word - JDC Website Resume 3Feb2011.doc  

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

Argonne National Laboratory 9700 S. Cass Avenue, Bldg. 205 Argonne, IL 60439 phone: 630/252-4544 fax: 630/972-4544 e-mail: jdavidcarter@anl.gov Professional Experience * October 1996- Present Materials Engineer and Group Leader (2006) supporting SOFC development (Solid State Energy Conversion Alliance - SECA), PEM bipolar plate development (DOE Fuel Cells Technology Program), and Fuel Cell Deployment at Argonne National Laboratory. Collaborator in Japan - US Clean Energy Technology Plan. * 1994-1996 Post Doctorate at Argonne National Laboratory. * 1992- 1994 Visiting Scientist at Risoe National Laboratory * 1987- 1988 Lab Technician at Ceramatec Inc. Education Ph.D., Ceramic Engineering, University of Missouri-Rolla (1992)

380

area | OpenEI  

Open Energy Info (EERE)

area area Dataset Summary Description These estimates are derived from a composite of high resolution wind resource datasets modeled for specific countries with low resolution data originating from the National Centers for Environmental Prediction (United States) and the National Center for Atmospheric Research (United States) as processed for use in the IMAGE model. The high resolution datasets were produced by the National Renewable Energy Laboratory (United States), Risø DTU National Laboratory (Denmark), the National Institute for Space Research (Brazil), and the Canadian Wind Energy Association. The data repr Source National Renewable Energy Laboratory Date Released Unknown Date Updated Unknown Keywords area capacity clean energy international National Renewable Energy Laboratory

Note: This page contains sample records for the topic "riso dtu 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

wind power capacity | OpenEI  

Open Energy Info (EERE)

capacity capacity Dataset Summary Description These estimates are derived from a composite of high resolution wind resource datasets modeled for specific countries with low resolution data originating from the National Centers for Environmental Prediction (United States) and the National Center for Atmospheric Research (United States) as processed for use in the IMAGE model. The high resolution datasets were produced by the National Renewable Energy Laboratory (United States), Risø DTU National Laboratory (Denmark), the National Institute for Space Research (Brazil), and the Canadian Wind Energy Association. The data repr Source National Renewable Energy Laboratory Date Released Unknown Date Updated Unknown Keywords area capacity clean energy international

382

Application of the BISON Fuel Performance Code to the FUMEX-III Coordinated Research Project  

SciTech Connect

INL recently participated in FUMEX-III, an International Atomic Energy Agency sponsored fuel modeling Coordinated Research Project. A main purpose of FUMEX-III is to compare code predictions to reliable experimental data. During the same time period, the INL initiated development of a new multidimensional (2D and 3D) multiphysics nuclear fuel performance code called BISON. Interactions with international fuel modeling researchers via FUMEX-III played a significant and important role in the BISON evolution, particularly influencing the selection of material and behavioral models which are now included in the code. BISON's ability to model integral fuel rod behavior did not mature until 2011, thus the only FUMEX-III case considered was the Riso3-GE7 experiment, which includes measurements of rod outer diameter following pellet clad mechanical interaction (PCMI) resulting from a power ramp late in fuel life. BISON comparisons to the Riso3-GE7 final rod diameter measurements are quite reasonable. The INL is very interested in participation in the next Fuel Modeling Coordinated Research Project and would like to see the project initiated as soon as possible.

R. L. Williamson; S. R. Novascone

2012-04-01T23:59:59.000Z

383

European Wind Atlas: Offshore | Open Energy Information  

Open Energy Info (EERE)

European Wind Atlas: Offshore European Wind Atlas: Offshore Jump to: navigation, search Tool Summary LAUNCH TOOL Name: European Wind Atlas: Offshore Focus Area: Renewable Energy Topics: Potentials & Scenarios Website: www.windatlas.dk/Europe/oceanmap.html Equivalent URI: cleanenergysolutions.org/content/european-wind-atlas-offshore,http://c Language: English Policies: Deployment Programs DeploymentPrograms: Technical Assistance This is a European offshore wind resources over open sea map developed by Riso National Laboratory in 1989. The map shows the so-called generalised wind climate over Europe, also sometimes referred to as the regional wind climate or simply the wind atlas. In such a map, the influences of local topography have been removed and only the variations on the large scale are

384

Event:CLEAN Webinar - Capacity Building and Training for Low Emissions  

Open Energy Info (EERE)

Event Event Edit with form History Facebook icon Twitter icon » Event:CLEAN Webinar - Capacity Building and Training for Low Emissions Development Planning Webinar Jump to: navigation, search Calendar.png CLEAN Webinar - LEDS Capacity Building and Training: 13:30-15:00 GMT on 2011/05/24 This webinar will explore design, lessons learned, needs and opportunities to support low emissions development planning (LEDS, TNAs, NAMAs, etc.). Short presentations from MAIN, UNEP-Risoe on TNAs, ESMAP World Bank and the Colombian Ministry of Environment will be followed by a participant discussion on these topics. Event Details Name CLEAN Webinar - LEDS Capacity Building and Training Date 2011/05/24 Time 13:30-15:00 GMT Location Online Tags CLEAN, LEDS Ret Like Like You like this.Sign Up to see what your friends like.

385

European Wind Atlas: Onshore | Open Energy Information  

Open Energy Info (EERE)

European Wind Atlas: Onshore European Wind Atlas: Onshore Jump to: navigation, search Tool Summary LAUNCH TOOL Name: European Wind Atlas: Onshore Focus Area: Renewable Energy Topics: Potentials & Scenarios Website: www.windatlas.dk/Europe/landmap.html Equivalent URI: cleanenergysolutions.org/content/european-wind-atlas-onshore,http://cl Language: English Policies: Deployment Programs DeploymentPrograms: Technical Assistance This is a European on-shore wind resources at 50 meters of altitude map, developed by Riso National Laboratory in 1989. The map shows the so-called generalised wind climate over Europe, also sometimes referred to as the regional wind climate or simply the wind atlas. In such a map, the influences of local topography have been removed and only the variations on

386

Diane E. Cabelli  

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

E. Cabelli E. Cabelli Picture of Diane E. Cabelli Chemist Redox chemistry of high oxidation state transition-metal complexes, particularly CuIII, MnIII/MnIV; Superoxide chemistry in aqueous solutions: dismutation of superoxide radical; copper-zinc superoxide dismutase and model compounds. Telephone #: (631) 344-4361 cabelli@bnl.gov A.B. Bryn Mawr College, 1973; Ph.D. University of Texas, Austin, 1979 Research Associate, Conservation Center, Institute of Fine Arts, New York University, 3/80-3/81; Research Associate, Brookhaven National Laboratory, 3/81-10/83; Assistant Chemist, BNL, 10/83-12/87; Visiting Scientist, Riso National Laboratory, Denmark, 8/85-7/86; Associate Chemist, BNL, 1/88-9/89; Associate Chemist, continuing, BNL, 10/89-9/95; chemist, continuing, BNL,

387

Financial and Cost Assessment Model (FICAM) | Open Energy Information  

Open Energy Info (EERE)

Financial and Cost Assessment Model (FICAM) Financial and Cost Assessment Model (FICAM) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Financial and Cost Assessment Model (FICAM) Agency/Company /Organization: UNEP-Risoe Centre Sector: Climate Focus Area: Greenhouse Gas Topics: Finance, Baseline projection, GHG inventory Resource Type: Software/modeling tools User Interface: Spreadsheet Website: tech-action.org/models.htm Cost: Free Financial and Cost Assessment Model (FICAM) Screenshot References: FICAM[1] "The Financial and Cost Assessment Model (FICAM) evaluates the contribution of technologies and practices towards mitigation of greenhouse gases, and carries a comprehensive financial analysis." References ↑ "FICAM" Retrieved from "http://en.openei.org/w/index.php?title=Financial_and_Cost_Assessment_Model_(FICAM)&oldid=383091"

388

FIT for Use Everywhere? Assessing Experiences With Renewable Energy Feed-In  

Open Energy Info (EERE)

FIT for Use Everywhere? Assessing Experiences With Renewable Energy Feed-In FIT for Use Everywhere? Assessing Experiences With Renewable Energy Feed-In Tariffs Jump to: navigation, search Tool Summary Name: FIT for Use Everywhere? Assessing Experiences With Renewable Energy Feed-In Tariffs Agency/Company /Organization: UNEP-Risoe Centre Sector: Energy Focus Area: Renewable Energy Topics: Market analysis, Pathways analysis Resource Type: Publications, Case studies/examples Website: tech-action.org/Perspectives/FITuseEverywhere.pdf Cost: Free FIT for Use Everywhere? Assessing Experiences With Renewable Energy Feed-In Tariffs Screenshot References: FIT for Use Everywhere? Assessing Experiences With Renewable Energy Feed-In Tariffs[1] This article aims to provide a summary to governments and stakeholders in developing countries on the function, strengths and potential drawbacks of

389

Event:Third Workshop on Enhancing the Regional Distribution of CDM Projects  

Open Energy Info (EERE)

Enhancing the Regional Distribution of CDM Projects Enhancing the Regional Distribution of CDM Projects in Asia and the Pacific Jump to: navigation, search Calendar.png Third Workshop on Enhancing the Regional Distribution of CDM Projects in Asia and the Pacific: on 2012/07/18 "This workshop is being organized by the Asian Development Bank (ADB), the Institute for Global Environmental Strategies (IGES) and the UN Framework Convention on Climate Change (UNFCCC) Secretariat, in collaboration with the UN Environment Programme (UNEP) Risoe Centre. The aim of the workshop is to provide a platform for participants to share best practices and key lessons, enhance their knowledge on the Clean Development Mechanism (CDM) and discuss technical, financial, and policy issues specific to their projects." Event Details

390

J. David Carter resume  

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

Argonne National Laboratory Chemical Sciences and Engineering Division 9700 South Cass Avenue, Building 205 Argonne, IL 60439-4837 Phone: 630/252-4544, fax: 630/972-4544 E-mail: jdavidcarter@anl.gov Professional Experience  1996-Present. Materials Engineer at Argonne National Laboratory. Electrochemical Ceramics Group Leader, supporting solid oxide fuel cell development for the (Solid State Energy Conversion Alliance - SECA) and high temperature steam electrolysis (Nuclear Hydrogen Initiative).  1994-1996. Postdoctorate at Argonne National Laboratory.  1992-1994. Visiting Scientist at Risoe National Laboratory.  1987-1988. Lab Technician at Ceramatec Inc. Education  Ph.D., Ceramic Engineering, University of Missouri-Rolla, 1989.

391

Diane Cabelli  

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

Diane Cabelli Diane Cabelli Chemist Chemistry Department Building 555 Brookhaven National Laboratory P.O. Box 5000 Upton, NY 11973-5000 Phone: (631) 344-4361 FAX: (631) 344-5815 e-mail Thermal, Photo- and Radiation-Induced Reactions in Condensed Media Research Interests kinetics and mechanisms of high valent metal complex reactivity in water; oxygen radical reactivity with enzymes/cellular components (superoxide dismutases/reductases) Education A.B, Bryn Mawr College; Ph.D., University of Texas at Austin (1979, w/ Michael Dewar/Alan Cowley) Employment National Museum Act Fellowship, Conservation Center, Institute of Fine Arts, New York University 1980-1981; Research Associate, Brookhaven National Laboratory,1981-1983; Assistant Chemist, Brookhaven National Laboratory,1983-1987; Visiting Scientist, Risoe National Laboratory, Denmark, 1985-1986; Associate Chemist, Brookhaven National Laboratory, 1988-1995; Chemist, Brookhaven National Laboratory, 1995-present.

392

Clean Development Mechanism Pipeline | Open Energy Information  

Open Energy Info (EERE)

Clean Development Mechanism Pipeline Clean Development Mechanism Pipeline Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Clean Development Mechanism Pipeline Agency/Company /Organization: UNEP-Risoe Centre, United Nations Environment Programme Sector: Energy, Land Topics: Finance, Implementation, Background analysis Resource Type: Dataset Website: www.cdmpipeline.org/overview.htm Clean Development Mechanism Pipeline Screenshot References: CDM Pipeline[1] Overview "The CDM/JI Pipeline Analysis and Database contains all CDM/JI projects that have been sent for validation/determination. It also contains the baseline & monitoring methodologies, a list of DOEs and several analyses. This monthly newsletter shows a sample of the analysis in the Pipeline. If you want more information, then look into the left column and click on the

393

A study of nuclear stopping in central symmetric nuclear collisions at intermediate energies  

E-Print Network (OSTI)

Nuclear stopping has been investigated in central symmetric nuclear collisions at intermediate energies. Firstly, it is found that the isotropy ratio, Riso, reaches a minimum near the Fermi energy and saturates or slowly increases depending on the mass of the system as the beam energy increases. An approximate scaling based on the size of the system is found above the Fermi energy suggesting the increasing role of in-medium nucleon-nucleon collisions. Secondly, the charge density distributions in velocity space, dZ/dvk and dZ/dv?, reveal a strong memory of the entrance channel and, as such, a sizeable nuclear transparency in the intermediate energy range. Lastly, it is shown that the width of the transverse velocity distribution is proportional to the beam velocity.

C. Escano-Rodriguez; D. Durand; A. Chbihi; J. D. Frankland; the INDRA Collaboration

2005-03-14T23:59:59.000Z

394

Pathways for Implementing REDD+: Experiences from Carbon Markets and  

Open Energy Info (EERE)

Pathways for Implementing REDD+: Experiences from Carbon Markets and Pathways for Implementing REDD+: Experiences from Carbon Markets and Communities Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Pathways for Implementing REDD+: Experiences from Carbon Markets and Communities Agency/Company /Organization: UNEP-Risoe Centre Sector: Land Focus Area: Forestry Topics: Finance, Implementation Resource Type: Lessons learned/best practices Website: www.acp-cd4cdm.org/media/237951/pathwaysimplementingreddplus.pdf References: Pathways for Implementing REDD+: Experiences from Carbon Markets and Communities[1] "The articles presented discuss and propose ideas about how to create incentives to participate in REDD+, its implementation, and possible financing; how to involve the private sector; what are the experiences from

395

ClimateTechWiki | Open Energy Information  

Open Energy Info (EERE)

ClimateTechWiki ClimateTechWiki Jump to: navigation, search Tool Summary LAUNCH TOOL Name: ClimateTechWiki - a clean technology platform Agency/Company /Organization: United Nations Development Programme, Energy Research Centre of the Netherlands, Joint Implementation Network (JIN), United Nations Environment Programme, UNEP-Risoe Centre, United Nations Framework Convention on Climate Change, Renewable Energy and Energy Efficiency Partnership, Netherlands Government Partner: Energy Research Centre of the Netherlands (ECN) Sector: Climate, Energy Focus Area: Non-renewable Energy, Agriculture, Biomass, Buildings, Energy Efficiency, Forestry, Geothermal, Greenhouse Gas, Ground Source Heat Pumps, Hydrogen, Industry, Solar, Transportation, Water Power, Wind Phase: Evaluate Options, Develop Goals, Prepare a Plan, Create Early Successes, Evaluate Effectiveness and Revise as Needed

396

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

Open Energy Info (EERE)

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

397

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

Open Energy Info (EERE)

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

398

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

Open Energy Info (EERE)

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

399

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

Open Energy Info (EERE)

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

400

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

Open Energy Info (EERE)

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

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401

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

Open Energy Info (EERE)

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

402

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

403

TMY | OpenEI  

Open Energy Info (EERE)

TMY TMY 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 TMY Data application/pdf icon Download Report (pdf, 410.5 KiB)

404

Category:Map Files | Open Energy Information  

Open Energy Info (EERE)

image files, and where available, links to KMZ image files, and where available, links to KMZ sources used to generate the image files. Add.png Add a new Map File Subcategories This category has the following 4 subcategories, out of 4 total. M [×] Map Image Files‎ [×] Map PDF Files‎ N [×] NREL Map Files‎ 1 pages S [×] SWERA Map Files‎ Media in category "Map Files" The following 200 files are in this category, out of 1,687 total. (previous 200) (next 200) Australia-Solar-Map.png Australia-Solar-Map.png 55 KB Banglmetst 221.pdf Banglmetst 221.pdf 5.42 MB Black.Warrior.Basin usgs.map.pdf Black.Warrior.Basin us... 148 KB BOEMRE atlantic.OCS.multiple.use.map.2003.pdf BOEMRE atlantic.OCS.mu... 3.06 MB BOEMRE lease.platforms.santa.barb.map.5.2010.pdf BOEMRE lease.platforms... 1.41 MB BOEMRE OCS.oil.gas.2007-12.map.pdf

405

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

Open Energy Info (EERE)

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

406

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

Open Energy Info (EERE)

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

407

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

Open Energy Info (EERE)

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

408

Tesis LT.PDF  

Open Energy Info (EERE)

DETERMINACION DE LA IRRADIANCION SOLAR SOBRE EL DETERMINACION DE LA IRRADIANCION SOLAR SOBRE EL TERRITORIO DE CUBA A PARTIR DE IMÁGENES DE SATELITES. Autores: Israel Borrajero Montejo * Lourdes Lavastida** Juan Carlos Pelaez Chavez* Instituto de Meteorología de Cuba La investigación se realizo dentro del acápite relacionado con la radiación solar del Proyecto SWERA para Cuba * Grupo de Radiación Solar del Centro de Física de la Atmósfera del Instituto de Meteorología de Cuba Ministerio de Ciencia Tecnología y Medio Ambiente ** Dpto de Información de Satelites del Centro Nacional de Pronostico Instituto de Meteorología de Cuba Ministerio de Ciencia Tecnología y Medio Ambiente 2 Introducción. El Sol, fuente de vida, es la energía más importante disponible en el planeta y

409

PROPOSED RESEARCH AGENDA FOR ACHIEVING INDOOR AIR QUALITY SUPPORTING HEALTH AND  

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

PROPOSED RESEARCH AGENDA FOR ACHIEVING PROPOSED RESEARCH AGENDA FOR ACHIEVING INDOOR AIR QUALITY SUPPORTING HEALTH AND COMFORT IN HIGHLY ENERGY EFFICIENT BUILDINGS Pawel Wargocki 1* , Max Sherman 2 , Willem de Gids 3 , Peter Wouters 4 , Francis Allard 5 , Remi Carrie 6 , Paolo Carrer 7 , and Stylianos Kephalopolous 8 1 International Centre for Indoor Environment and Energy, DTU Civil Engineering, Technical University of Denmark 2 Residential Building Systems Group, Lawrence Berkeley National Laboratory, USA 3 VentGuide, the Netherlands 4 Air Infiltration and Ventilation Centre, Belgium 5 University of La Rochelle, France 6 International Network for Information on Ventilation, Belgium 7 The University of Milan, Italy 8 Joint Research Centre, Ispra, Italy ABSTRACT Research topics that need to be addressed so that the future highly energy efficient buildings do not compromise

410

Horizontal wells in the Java Sea  

SciTech Connect

The utilization of the Navigation Drilling System in recent drilling activity has established that: Continuous build rates as high as 6.75 degrees/100 ft are achievable (with a .74 degree DTU), making possible the tapping of near platform reserves. The system provides the flexibility necessary to drill a continuous curve or an irregular path without bottomhole assembly changes. The system provides the flexibility for sidetracks to the ''low side'' of the well bore without coming out of the hole for bottomhole assembly changes or a cement plug. Geological objectives can be reached with a high degree of accuracy. The system greatly reduces the costly learning curve associated with rotary bottomhole assemblies and substantially increases the confidence of the operator. Significant drilling cost reductions resulted from the use of the system. The cost per foot was further reduced as additional familiarity with the equipment was gained.

Barrett, S.L.; Lyon, R.

1988-05-01T23:59:59.000Z

411

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

Open Energy Info (EERE)

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

412

Enabling Environment and Policy Principles for Replicable Technology  

Open Energy Info (EERE)

Enabling Environment and Policy Principles for Replicable Technology Enabling Environment and Policy Principles for Replicable Technology Transfer: Lessons from Wind Energy in India Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Enabling Environment and Policy Principles for Replicable Technology Transfer: Lessons from Wind Energy in India Agency/Company /Organization: UNEP-Risoe Centre Sector: Energy Focus Area: Renewable Energy, Wind Topics: Market analysis, Policies/deployment programs Resource Type: Lessons learned/best practices, Case studies/examples Website: tech-action.org/Perspectives/LessonsWindEnergyIndia.pdf Country: India Cost: Free UN Region: Southern Asia Coordinates: 20.593684°, 78.96288° 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":20.593684,"lon":78.96288,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

413

How can I open .ASC files contained in the following link  

Open Energy Info (EERE)

can I open .ASC files contained in the following link can I open .ASC files contained in the following link http://en.openei.org/datasets/node/61 Home > Groups > Geospatial I really need the Kenya wind data develop by Riso by i cant open the files provided. I will apprecite some help Submitted by Manulator on 18 August, 2012 - 08:41 3 answers Points: 0 Hi Manulator- Glad you were able to open those files. From what I can tell, the data for Lamu Island should be included in the .ASC files. The files viewed as a raster format look like the entire country and some offshore regions were measured and recorded. These data are displayed as annual mean, I don't believe there are any daily records available in the download. You can try to extract the values that cover Lamu Island by performing an intersection in the GIS software with another data set such as a world countries GIS

414

How can I open .ASC files contained in the following link  

Open Energy Info (EERE)

can I open .ASC files contained in the following link can I open .ASC files contained in the following link http://en.openei.org/datasets/node/61 Home > Groups > Geospatial I really need the Kenya wind data develop by Riso by i cant open the files provided. I will apprecite some help Submitted by Manulator on 18 August, 2012 - 08:41 3 answers Points: 0 Hi Manulator- Glad you were able to open those files. From what I can tell, the data for Lamu Island should be included in the .ASC files. The files viewed as a raster format look like the entire country and some offshore regions were measured and recorded. These data are displayed as annual mean, I don't believe there are any daily records available in the download. You can try to extract the values that cover Lamu Island by performing an intersection in the GIS software with another data set such as a world countries GIS

415

Bioenergy in India: Barriers and Policy Options | Open Energy Information  

Open Energy Info (EERE)

Bioenergy in India: Barriers and Policy Options Bioenergy in India: Barriers and Policy Options Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Bioenergy in India: Barriers and Policy Options Agency/Company /Organization: UNEP-Risoe Centre Sector: Energy Focus Area: Renewable Energy, Biomass, - Biofuels Topics: Implementation, Market analysis, Pathways analysis, Background analysis Resource Type: Publications, Lessons learned/best practices, Case studies/examples Website: tech-action.org/Perspectives/BioenergyIndia.pdf Country: India Cost: Free UN Region: Southern Asia Coordinates: 20.593684°, 78.96288° 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":20.593684,"lon":78.96288,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

416

Wind Resources By Class Per Country At 50m | OpenEI  

Open Energy Info (EERE)

42 42 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142279642 Varnish cache server Wind Resources By Class Per Country At 50m Dataset Summary Description These estimates are derived from a composite of high resolution wind resource datasets modeled for specific countries with low resolution data originating from the National Centers for Environmental Prediction (United States) and the National Center for Atmospheric Research (United States) as processed for use in the IMAGE model. The high resolution datasets were produced by the National Renewable Energy Laboratory (United States), Risø DTU National Laboratory (Denmark), the National Institute for Space Research (Brazil), and the Canadian Wind Energy Association. The data represents wind power class intervals 3 through 7 at 50 m height above ground. Wind class is derived from the capacity factor obtained from the 20% Wind Energy by 2030 Table B-10. The range was created from years 2005 and 2010.

417

Automated system for the calibration of magnetometers  

Science Conference Proceedings (OSTI)

A completely nonmagnetic calibration platform has been developed and constructed at DTU Space (Technical University of Denmark). It is intended for on-site scalar calibration of high-precise fluxgate magnetometers. An enhanced version of the same platform is being built at the Czech Technical University. There are three axes of rotation in this design (compared to two axes in the previous version). The addition of the third axis allows us to calibrate more complex devices. An electronic compass based on a vector fluxgate magnetometer and micro electro mechanical systems (MEMS) accelerometer is one example. The new platform can also be used to evaluate the parameters of the compass in all possible variations in azimuth, pitch, and roll. The system is based on piezoelectric motors, which are placed on a platform made of aluminum, brass, plastic, and glass. Position sensing is accomplished through custom-made optical incremental sensors. The system is controlled by a microcontroller, which executes commands from a computer. The properties of the system as well as calibration and measurement results will be presented.

Petrucha, Vojtech; Kaspar, Petr; Ripka, Pavel [Department of Measurement, Faculty of Electrical Engineering, Czech Technical University in Prague, Technicka 2, 166 27 Praha 6 (Czech Republic); Merayo, Jose M. G. [National Space Institute-DTU Space, Technical University of Denmark, Elektrovej 327, 2800 Kgs. Lyngby (Denmark)

2009-04-01T23:59:59.000Z

418

Maldives | OpenEI  

Open Energy Info (EERE)

Maldives Maldives Dataset Summary Description (Abstract): This document describes the development of detailed high-resolution (1 km2) wind energy resource maps for Sri Lanka and the Maldives. (Purpose): To provide information on the wind resource potential within Sri Lanka and the Maldives. Source NREL Date Released August 21st, 2006 (8 years ago) Date Updated August 21st, 2006 (8 years ago) Keywords documentation GEF GIS Maldives NREL Sri Lanka SWERA UNEP wind Data application/pdf icon Download Report (pdf, 30.1 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2006 License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Restrictions to use (Use Constraints): This GIS data was developed by the National Renewable Energy Laboratory ("NREL"), which is operated by the Midwest Research Institute for the U.S. Department of Energy ("DOE"). The user is granted the right, without any fee or cost, to use, copy, modify, alter, enhance and distribute this data for any purpose whatsoever, provided that this entire notice appears in all copies of the data. Further, the user of this data agrees to credit NREL in any publications or software that incorporate or use the data. Access to and use of the GIS data shall further impose the following obligations on the User. The names DOE/NREL may not be used in any advertising or publicity to endorse or promote any product or commercial entity using or incorporating the GIS data unless specific written authorization is obtained from DOE/NREL. The User also understands that DOE/NREL shall not be obligated to provide updates, support, consulting, training or assistance of any kind whatsoever with regard to the use of the GIS data. THE GIS DATA IS PROVIDED "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL DOE/NREL BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER, INCLUDING BUT NOT LIMITED TO CLAIMS ASSOCIATED WITH THE LOSS OF DATA OR PROFITS, WHICH MAY RESULT FROM AN ACTION IN CONTRACT, NEGLIGENCE OR OTHER TORTIOUS CLAIM THAT ARISES OUT OF OR IN CONNECTION WITH THE ACCESS OR USE OF THE GIS DATA. The User acknowledges that access to the GIS data is subject to U.S. Export laws and regulations and any use or transfer of the GIS data must be authorized under those regulations. The User shall not use, distribute, transfer, or transmit GIS data or any products incorporating the GIS data except in compliance with U.S. export regulations. If requested by DOE/NREL, the User agrees to sign written assurances and other export-related documentation as may be required to comply with U.S. export regulations.

419

NASA | OpenEI  

Open Energy Info (EERE)

NASA NASA 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 (8 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords GEF GIS NASA NREL SWERA UNEP wind Data application/zip icon Download Maps (zip, 36.3 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2000 - 2004 License License Other or unspecified, see optional comment below Comment (Use Constraints): This GIS data was developed by the National Renewable Energy Laboratory ("NREL"), which is operated by the Midwest Research Institute for the U.S. Department of Energy ("DOE"). The user is granted the right, without any fee or cost, to use, copy, modify, alter, enhance and distribute this data for any purpose whatsoever, provided that this entire notice appears in all copies of the data. Further, the user of this data agrees to credit NREL in any publications or software that incorporate or use the data. Access to and use of the GIS data shall further impose the following obligations on the User. The names DOE/NREL may not be used in any advertising or publicity to endorse or promote any product or commercial entity using or incorporating the GIS data unless specific written authorization is obtained from DOE/NREL. The User also understands that DOE/NREL shall not be obligated to provide updates, support, consulting, training or assistance of any kind whatsoever with regard to the use of the GIS data. THE GIS DATA IS PROVIDED "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL DOE/NREL BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER, INCLUDING BUT NOT LIMITED TO CLAIMS ASSOCIATED WITH THE LOSS OF DATA OR PROFITS, WHICH MAY RESULT FROM AN ACTION IN CONTRACT, NEGLIGENCE OR OTHER TORTIOUS CLAIM THAT ARISES OUT OF OR IN CONNECTION WITH THE ACCESS OR USE OF THE GIS DATA. The User acknowledges that access to the GIS data is subject to U.S. Export laws and regulations and any use or transfer of the GIS data must be authorized under those regulations. The User shall not use, distribute, transfer, or transmit GIS data or any products incorporating the GIS data except in compliance with U.S. export regulations. If requested by DOE/NREL, the User agrees to sign written assurances and other export-related documentation as may be required to comply with U.S. export regulations.

420

BIL | OpenEI  

Open Energy Info (EERE)

3 3 Varnish cache server BIL Dataset Summary Description (Abstract): Raster GIS data, exported as BIL file, 50 m wind power density for Cuba. Note: BIL files can be converted to raster data in ArcInfo using the IMAGEGRID command. (Purpose): To provide information on the wind resource potential in Cuba. Values range from 0 to 547. (Supplemental Information): Source NREL Date Released September 02nd, 2004 (10 years ago) Date Updated October 30th, 2007 (7 years ago) Keywords BIL Cuba GEF GIS NREL SWERA UNEP wind Data application/zip icon Download Data (zip, 235.2 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2004 License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Restrictions to use (Use Constraints): This GIS data was developed by the National Renewable Energy Laboratory ("NREL"), which is operated by the Midwest Research Institute for the U.S. Department of Energy ("DOE"). The user is granted the right, without any fee or cost, to use, copy, modify, alter, enhance and distribute this data for any purpose whatsoever, provided that this entire notice appears in all copies of the data. Further, the user of this data agrees to credit NREL in any publications or software that incorporate or use the data. Access to and use of the GIS data shall further impose the following obligations on the User. The names DOE/NREL may not be used in any advertising or publicity to endorse or promote any product or commercial entity using or incorporating the GIS data unless specific written authorization is obtained from DOE/NREL. The User also understands that DOE/NREL shall not be obligated to provide updates, support, consulting, training or assistance of any kind whatsoever with regard to the use of the GIS data. THE GIS DATA IS PROVIDED "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL DOE/NREL BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER, INCLUDING BUT NOT LIMITED TO CLAIMS ASSOCIATED WITH THE LOSS OF DATA OR PROFITS, WHICH MAY RESULT FROM AN ACTION IN CONTRACT, NEGLIGENCE OR OTHER TORTIOUS CLAIM THAT ARISES OUT OF OR IN CONNECTION WITH THE ACCESS OR USE OF THE GIS DATA. The User acknowledges that access to the GIS data is subject to U.S. Export laws and regulations and any use or transfer of the GIS data must be authorized under those regulations. The User shall not use, distribute, transfer, or transmit GIS data or any products incorporating the GIS data except in compliance with U.S. export regulations. If requested by DOE/NREL, the User agrees to sign written assurances and other export-related documentation as may be required to comply with U.S. export regulations.

Note: This page contains sample records for the topic "riso dtu 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

Technical Report - Cuba Wind Energy Resource Assessment | OpenEI  

Open Energy Info (EERE)

Cuba Wind Energy Resource Assessment Cuba Wind Energy Resource Assessment Dataset Summary Description (Abstract): This document describes the development of detailed high-resolution (1 km2) wind energy resource maps for Cuba. (Purpose): To provide information on the wind resource potential within Cuba. Source NREL Date Released August 21st, 2006 (8 years ago) Date Updated August 21st, 2006 (8 years ago) Keywords Cuba documentation GIS NREL SWERA UNEP wind Data application/pdf icon Download Report (pdf, 54.3 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2006 License License Other or unspecified, see optional comment below Comment Restrictions to use (Use Constraints): This GIS data was developed by the National Renewable Energy Laboratory ("NREL"), which is operated by the Midwest Research Institute for the U.S. Department of Energy ("DOE"). The user is granted the right, without any fee or cost, to use, copy, modify, alter, enhance and distribute this data for any purpose whatsoever, provided that this entire notice appears in all copies of the data. Further, the user of this data agrees to credit NREL in any publications or software that incorporate or use the data. Access to and use of the GIS data shall further impose the following obligations on the User. The names DOE/NREL may not be used in any advertising or publicity to endorse or promote any product or commercial entity using or incorporating the GIS data unless specific written authorization is obtained from DOE/NREL. The User also understands that DOE/NREL shall not be obligated to provide updates, support, consulting, training or assistance of any kind whatsoever with regard to the use of the GIS data. THE GIS DATA IS PROVIDED "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL DOE/NREL BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER, INCLUDING BUT NOT LIMITED TO CLAIMS ASSOCIATED WITH THE LOSS OF DATA OR PROFITS, WHICH MAY RESULT FROM AN ACTION IN CONTRACT, NEGLIGENCE OR OTHER TORTIOUS CLAIM THAT ARISES OUT OF OR IN CONNECTION WITH THE ACCESS OR USE OF THE GIS DATA. The User acknowledges that access to the GIS data is subject to U.S. Export laws and regulations and any use or transfer of the GIS data must be authorized under those regulations. The User shall not use, distribute, transfer, or transmit GIS data or any products incorporating the GIS data except in compliance with U.S. export regulations. If requested by DOE/NREL, the User agrees to sign written assurances and other export-related documentation as may be required to comply with U.S. export regulations.

422

Technical Report - Ghana Wind Energy Resource Assessment | OpenEI  

Open Energy Info (EERE)

Ghana Wind Energy Resource Assessment Ghana Wind Energy Resource Assessment Dataset Summary Description (Abstract): This document describes the development of detailed high-resolution (1 km2) wind energy resource maps for Ghana. (Purpose): To provide information on the wind resource potential within Ghana. Source NREL Date Released August 21st, 2006 (8 years ago) Date Updated August 21st, 2006 (8 years ago) Keywords documentation GEF Ghana GIS NREL SWERA UNEP wind Data application/pdf icon Download Report (pdf, 54.3 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2006 License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Restrictions to use (Use Constraints): This GIS data was developed by the National Renewable Energy Laboratory ("NREL"), which is operated by the Midwest Research Institute for the U.S. Department of Energy ("DOE"). The user is granted the right, without any fee or cost, to use, copy, modify, alter, enhance and distribute this data for any purpose whatsoever, provided that this entire notice appears in all copies of the data. Further, the user of this data agrees to credit NREL in any publications or software that incorporate or use the data. Access to and use of the GIS data shall further impose the following obligations on the User. The names DOE/NREL may not be used in any advertising or publicity to endorse or promote any product or commercial entity using or incorporating the GIS data unless specific written authorization is obtained from DOE/NREL. The User also understands that DOE/NREL shall not be obligated to provide updates, support, consulting, training or assistance of any kind whatsoever with regard to the use of the GIS data. THE GIS DATA IS PROVIDED "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL DOE/NREL BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER, INCLUDING BUT NOT LIMITED TO CLAIMS ASSOCIATED WITH THE LOSS OF DATA OR PROFITS, WHICH MAY RESULT FROM AN ACTION IN CONTRACT, NEGLIGENCE OR OTHER TORTIOUS CLAIM THAT ARISES OUT OF OR IN CONNECTION WITH THE ACCESS OR USE OF THE GIS DATA. The User acknowledges that access to the GIS data is subject to U.S. Export laws and regulations and any use or transfer of the GIS data must be authorized under those regulations. The User shall not use, distribute, transfer, or transmit GIS data or any products incorporating the GIS data except in compliance with U.S. export regulations. If requested by DOE/NREL, the User agrees to sign written assurances and other export-related documentation as may be required to comply with U.S. export regulations.

423

Technical Report - Sri Lanka and the Maldives Wind Energy Resource  

Open Energy Info (EERE)

Sri Lanka and the Maldives Wind Energy Resource Sri Lanka and the Maldives Wind Energy Resource Assessment Dataset Summary Description (Abstract): This document describes the development of detailed high-resolution (1 km2) wind energy resource maps for Sri Lanka and the Maldives. (Purpose): To provide information on the wind resource potential within Sri Lanka and the Maldives. Source NREL Date Released August 21st, 2006 (8 years ago) Date Updated August 21st, 2006 (8 years ago) Keywords documentation GEF GIS Maldives NREL Sri Lanka SWERA UNEP wind Data application/pdf icon Download Report (pdf, 30.1 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2006 License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Restrictions to use (Use Constraints): This GIS data was developed by the National Renewable Energy Laboratory ("NREL"), which is operated by the Midwest Research Institute for the U.S. Department of Energy ("DOE"). The user is granted the right, without any fee or cost, to use, copy, modify, alter, enhance and distribute this data for any purpose whatsoever, provided that this entire notice appears in all copies of the data. Further, the user of this data agrees to credit NREL in any publications or software that incorporate or use the data. Access to and use of the GIS data shall further impose the following obligations on the User. The names DOE/NREL may not be used in any advertising or publicity to endorse or promote any product or commercial entity using or incorporating the GIS data unless specific written authorization is obtained from DOE/NREL. The User also understands that DOE/NREL shall not be obligated to provide updates, support, consulting, training or assistance of any kind whatsoever with regard to the use of the GIS data. THE GIS DATA IS PROVIDED "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL DOE/NREL BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER, INCLUDING BUT NOT LIMITED TO CLAIMS ASSOCIATED WITH THE LOSS OF DATA OR PROFITS, WHICH MAY RESULT FROM AN ACTION IN CONTRACT, NEGLIGENCE OR OTHER TORTIOUS CLAIM THAT ARISES OUT OF OR IN CONNECTION WITH THE ACCESS OR USE OF THE GIS DATA. The User acknowledges that access to the GIS data is subject to U.S. Export laws and regulations and any use or transfer of the GIS data must be authorized under those regulations. The User shall not use, distribute, transfer, or transmit GIS data or any products incorporating the GIS data except in compliance with U.S. export regulations. If requested by DOE/NREL, the User agrees to sign written assurances and other export-related documentation as may be required to comply with U.S. export regulations.

424

Technical Report - China Wind Energy Resource Assessment | OpenEI  

Open Energy Info (EERE)

China Wind Energy Resource Assessment China Wind Energy Resource Assessment Dataset Summary Description (Abstract): This document describes the development of detailed high-resolution (1 km2) wind energy resource maps for China. (Purpose): To provide information on the wind resource potential within China. Source NREL Date Released August 21st, 2006 (8 years ago) Date Updated August 21st, 2006 (8 years ago) Keywords China documentation GIS NREL SWERA UNEP wind Data application/pdf icon Download Report (pdf, 124.1 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2006 License License Other or unspecified, see optional comment below Comment Restrictions to use (Use Constraints): This GIS data was developed by the National Renewable Energy Laboratory ("NREL"), which is operated by the Midwest Research Institute for the U.S. Department of Energy ("DOE"). The user is granted the right, without any fee or cost, to use, copy, modify, alter, enhance and distribute this data for any purpose whatsoever, provided that this entire notice appears in all copies of the data. Further, the user of this data agrees to credit NREL in any publications or software that incorporate or use the data. Access to and use of the GIS data shall further impose the following obligations on the User. The names DOE/NREL may not be used in any advertising or publicity to endorse or promote any product or commercial entity using or incorporating the GIS data unless specific written authorization is obtained from DOE/NREL. The User also understands that DOE/NREL shall not be obligated to provide updates, support, consulting, training or assistance of any kind whatsoever with regard to the use of the GIS data. THE GIS DATA IS PROVIDED "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL DOE/NREL BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER, INCLUDING BUT NOT LIMITED TO CLAIMS ASSOCIATED WITH THE LOSS OF DATA OR PROFITS, WHICH MAY RESULT FROM AN ACTION IN CONTRACT, NEGLIGENCE OR OTHER TORTIOUS CLAIM THAT ARISES OUT OF OR IN CONNECTION WITH THE ACCESS OR USE OF THE GIS DATA. The User acknowledges that access to the GIS data is subject to U.S. Export laws and regulations and any use or transfer of the GIS data must be authorized under those regulations. The User shall not use, distribute, transfer, or transmit GIS data or any products incorporating the GIS data except in compliance with U.S. export regulations. If requested by DOE/NREL, the User agrees to sign written assurances and other export-related documentation as may be required to comply with U.S. export regulations.