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

Ris DTU Annual Report 2009 www.risoe.dtu.dk  

E-Print Network [OSTI]

National Laboratory for Sustainable Energy, DTU Risø-R-1723(EN) June 2010 Risø-R-Report #12;Risø DTU Annual for Sustainable Energy, DTU Edited by Birgit Pedersen and Henrik Bindslev Risø-R-1723(EN) Risø National Laboratory in Sustainable Energy as they present their results from the course " Sustainability assessment of energy sources

5

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

6

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)

7

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

8

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":""}]}

9

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

10

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

11

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

12

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

13

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

Open Energy Info (EERE)

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

14

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

15

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)

16

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.

17

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

18

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

19

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

20

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.

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

Brazilian Atlas for Solar Energy Resource: Swera Results  

Science Journals Connector (OSTI)

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

Fernando Ramos Martins; Enio Bueno Pereira

2009-01-01T23:59:59.000Z

25

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

26

Technical University of Denmark rsted DTU Automation  

E-Print Network [OSTI]

Technical University of Denmark ?rsted · DTU Automation Project: SICAM - SIngle Conversion stage based SICAM using an LC-network Petar Ljusev, MSc., Ph.D. student, ?rsted · DTU Automation e-mail: pl

27

www.risoe.dk www.risoe.dk  

E-Print Network [OSTI]

www.risoe.dk www.risoe.dk LOAD ALLEVIATION ON WIND TURBINE BLADES USING VARIABLE AIRFOIL GEOMETRY Results · Wind tunnel testing · The model · Preliminary results · Conclusions · Future work #12;Motivation for bucks #12;..And why not just a rigid flap? · Surface discontinuity triggers stall · Noise issues · Bad

28

www.risoe.dk www.risoe.dk  

E-Print Network [OSTI]

www.risoe.dk www.risoe.dk LOAD ALLEVIATION ON WIND TURBINE BLADES USING VARIABLE AIRFOIL GEOMETRY work · 2D computations · Tools · Main Results · 3D computations · Tools · Main Results · Wind tunnel · Noise issues · Bad L/D leading to loss in power production · Flap losing it's potential load reduction

29

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

30

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

31

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

32

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 ...

33

Technical University of Denmark rsted DTU Automation  

E-Print Network [OSTI]

Technical University of Denmark ?rsted · DTU Automation Project: SICAM - SIngle Conversion stage;Isolated PDM and PWM DC-AC SICAMs Petar Ljusev, MSc., Ph.D. student, ?rsted · DTU Automation e-mail: pl

34

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

35

Ris National Laboratory DTU Radiation Research Department  

E-Print Network [OSTI]

-life of 2.13?105 yeas. Although 99 Tc is a naturally occurring radionuclide, the main sources of 99 TcRisø National Laboratory DTU Postprint Radiation Research Department Year 2007 Paper: www

36

Kenya-UNEP Risoe Technology Needs Assessment Program | Open Energy...  

Open Energy Info (EERE)

Country Kenya Eastern Africa References UNEP Risoe-Technology Needs Assessment Program1 Abstract UNEP DTIE in collaboration with the UNEP Risoe Centre will provide targeted...

37

Peru-UNEP Risoe Technology Needs Assessment Program | Open Energy...  

Open Energy Info (EERE)

UNEP Risoe-Technology Needs Assessment Program1 Abstract UNEP DTIE in collaboration with the UNEP Risoe Centre will provide targeted financial, technical and methodological...

38

Radiation Research Department Paper: www.risoe.dtu.dk/rispubl/art/2008_18.pdf  

E-Print Network [OSTI]

sources including nuclear weapon testing, operation of nuclear power plants, production and36 reprocessing of nuclear fuel, nuclear accidents, and disposal of radioactive waste (Komosa, 2002). Sanderson et al. (1997 1945 and 1996. These accidents involve reactors and other nuclear facilities, satellites, nuclear

39

www.risoe.dk Forskningscenter Ris  

E-Print Network [OSTI]

operation Direction of vibration Cambell diagram #12;www.risoe.dk Offshore ­ Research · Wind offshore ­ Turbulence ­ Turbulence induced in wind farms ­ Extreme gusts · External conditions in general ­ Rational ­ Standard dedicated offshore wind turbines #12;www.risoe.dk Wind Resources Kinetic Energyflux : P = ½U3 [W

40

Riso Report No. Danish Atomic Energy Commission  

E-Print Network [OSTI]

fM O o 8- OL '·O c/i Riso Report No. Danish Atomic Energy Commission Research Establishment Riso/t on exchangefrom: Library, Danish Atomic Energy Commission, Risd, Roskilde, Denmark #12;May, 1966 Ris6 Report No Jagiellonski Institute of Physics Krakow, Poland and P. A. Lindgård Mogensen The Danish Atomic Energy

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-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.

42

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

43

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.

44

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

45

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.

46

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.

47

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.

48

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

49

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

50

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

51

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.

52

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

53

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

54

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.

55

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.

56

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

57

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

58

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

59

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

60

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

Note: This page contains sample records for the topic "riso dtu swera" from the National Library of EnergyBeta (NLEBeta).
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61

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

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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

63

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

64

RisoRepoitNo. 1SS Danish Atomic Energy Commission  

E-Print Network [OSTI]

i i RisoRepoitNo. 1SS Danish Atomic Energy Commission Research Establishment Riso Dosimetry of Medical Products by Niels W. Holm Danish Atomic Energy Commission Research Establishment Riso Roskilde-1307 Copcnhuan K. Dcmnått ArttiabU OH twhmtt trom: Library, Danish Atomic Energy R U . Dk-4000 Roskilde

65

Riso-M -1695 Danish Atomic Energy Commission  

E-Print Network [OSTI]

en (O i Riso-M - 1695 Danish Atomic Energy Commission Research Establishment Riso CHEMISTRY on request from: Library of the Danish Atomic Energy Commission (AtomenergiKommissionens Bibliotek), Riso, DK Standard distribution Available on request from the Library of the Danish Atomic Energy Commission

66

Riso Report No. 128 u Danish Atomic Energy Commission  

E-Print Network [OSTI]

00 c* o z Riso Report No. 128 i u Danish Atomic Energy Commission .1 * Research Establishment Riso Atomic Energy Commission, Ris6, Roskilde, Denmark #12;August, 1966 Riso Report No. 12 ' of Boiling-Heavy-Water Nuclear Reactors P a r t i by ·Niels Kjær-Pedersen The Danish Atomic Energy Commission

67

Danish Atomic Energy Commission Research Establishment Riso  

E-Print Network [OSTI]

10 Ol CM l-l I S l ^. n ·H Danish Atomic Energy Commission Research Establishment Riso Chemistry Atomic Energy Commission Z. Fordos, Concrete Research Laboratory Karlstrup M. Skytte, Betonvarefabriken. E. Bjergbakke, Accelerator Dept. Danish Atomic Energy Commission Z. FSrdos, Concrete Research

68

D Riso-R-429 Automated Uranium  

E-Print Network [OSTI]

routinely used analytical techniques for uranium determina- tions in geological samples, fissionCM i D Riso-R-429 Automated Uranium Analysis by Delayed-Neutron Counting H. Kunzendorf, L. Løvborg AUTOMATED URANIUM ANALYSIS BY DELAYED-NEUTRON COUNTING H. Kunzendorf, L. Løvborg and E.M. Christiansen

69

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

70

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

71

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

72

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

73

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

74

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

75

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

76

Riso-M-1662 Danish Atomic Energy Commission  

E-Print Network [OSTI]

to CO å Riso-M-1662 Danish Atomic Energy Commission Research Establishment Riso CHEMISTRY October 1973 Available on requettt frnmr i ihrary of the Danish Atomic Energy Commission Energy Commission (Atomenergikommissionens Bibliotek), Kis«, Roskilde, Denmark. Telephone; (03) 35 51 01

77

Riso Report No. 132 Danish Atomic Energy Commission  

E-Print Network [OSTI]

Riso Report No. 132 B ! Danish Atomic Energy Commission Research Establishment Riso Environmental. Stilvfade, Copenhagen K.r Denmark A vailffbt? on exchangtfrom: Library, t>»«ijh Atomic Energy Commission Radioactivity in Greenland in 1965 by A. Aarkrog and J. Lippert The Danish Atomic Energy Commission Research

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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

79

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)

80

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]

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We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

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.

82

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

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

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

83

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

E-Print Network [OSTI]

Risø DTU 09-06-08 1 Waste-to-energy technologies in TIMES models Poul Erik Grohnheit, Kenneth DTU 09-06-08 2 Waste-to-energy technologies in TIMES models · European law 1999 Directive and current (focusing on Denmark) Long tradition for waste incineration for district heating · How to model waste-to-energy

84

RISO-M-2438 Dry deposition and resuspension of  

E-Print Network [OSTI]

CO RISO-M-2438 2 S Dry deposition and resuspension of particulate matter in city environments N 1984 få #12;RIS?-M-2438 DRY DEPOSITION AND RESUSPENSION OF PARITUCLATE NATTER IN CITY ENVIRONMENTS N.O. Jensen Abstract. The report describes, mostly in qualitative terms, the deposition and resuspension

85

0 Riso-R-434 Wind Speed and Direction  

E-Print Network [OSTI]

meteorological statistics for the area as it was considered a possible site for a nuclear power plant. \\ \\ Duringm I 0 Riso-R-434 t Wind Speed and Direction Changes due to Terrain Effects revealed-4000 Roskilde, Denmark May 1983 #12;RIS?-R-434 WIND SPEED AND DIRECTION CHANGES DUE TO TERRAIN EFFECTS

86

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

87

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

88

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

89

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"

90

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

91

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":""}]}

92

Comparative Microbial Genomics group CenterforBiologicalSequenceAnalysisTheTechnicalUniversityofDenmarkDTU  

E-Print Network [OSTI]

Comparative Microbial Genomics group Centerfor%-8531)1-803,% - or - Where Does Vibrio cholera come from? #12;Comparative Microbial Genomics group CenterforBiologicalSequenceAnalysisTheTechnicalUniversityofDenmarkDTU #12;Comparative Microbial Genomics

Ussery, David W.

93

Comparative Microbial Genomics group CenterforBiologicalSequenceAnalysisTheTechnicalUniversityofDenmarkDTU  

E-Print Network [OSTI]

Comparative Microbial Genomics group CenterforBiologicalSequenceAnalysisTheTechnicalUniversityofDenmarkDTU Minimal genomes in bacterial Genera Dave Ussery European Conference on Synthetic Biology: Design 2007 #12;Comparative Microbial Genomics group Centerfor

Ussery, David W.

94

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"

95

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"

96

Design and operating experience with cold moderators at GKSS, HMI and Risoe  

SciTech Connect (OSTI)

These three cold neutron sources, GKSS, HMI, and Risoe together have had more than 37 years in service. This paper briefly describes the most characteristic items in their construction and mentions parts which have caused problems during these years.

Stendal, Karsten

1997-09-01T23:59:59.000Z

97

DTU Aqua report no. 217-2010 By Claus R. Sparrevohn  

E-Print Network [OSTI]

in Danish recreational fishing Survey design and 2009 catches #12;Eel and cod catches in Danish recreational fishing Survey design and 2009 catches DTU Aqua report nr. 217-2010 Claus R. Sparrevohn and Marie Storr-Paulsen #12;Colophon Eel and cod catches in Danish recreational fishing Survey design and 2009 catches

Mosegaard, Klaus

98

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":""}]}

99

DFBT -Rica-Tec -FORCE Technology -Elsam Engineering -DTU, MEK Slutrapport 3106 050114.doc  

E-Print Network [OSTI]

PSO projekt nr. 3106: Afklaring af LT-CFB forgasseren til kraftværksmæssige anvendelser, samt bygning af 500 kW LT-CFB anlæg Slutrapport Peder Stoholm og Rasmus Glar Nielsen, DFBT ApS Martin Wittrup Engineering - DTU, MEK Forord Det rapporterede projekt "Afklaring af LT-CFB forgasseren til kraftværksmæssige

100

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

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

Lidar-based Research and Innovation at DTU Wind Energy a Review  

Science Journals Connector (OSTI)

As wind turbines during the past decade have increased in size so have the challenges met by the atmospheric boundary-layer meteorologists and the wind energy society to measure and characterize the huge-volume wind fields surpassing and driving them. At the DTU Wind Energy test site "sterild" for huge wind turbines, the hub-height of a recently installed 8 MW Vestas V164 turbine soars 143 meters up above the ground, and its rotor of amazing 164 meters in diameter make the turbine tips flicker 225 meters into the sky. Following the revolution in photonics-based telecommunication at the turn of the Millennium new fibre-based wind lidar technologies emerged and DTU Wind Energy, at that time embedded within Rise National Laboratory, began in collaboration with researchers from wind lidar companies to measure remote sensed wind profiles and turbulence structures within the atmospheric boundary layer with the emerging, at that time new, all-fibre-based 1.55 ? coherent detection wind lidars. Today, ten years later, DTU Wind Energy routinely deploys ground-based vertical profilers instead of met masts for high-precision measurements of mean wind profiles and turbulence profiles. At the departments test site "Hvsre" DTU Wind Energy also routinely calibrate and accredit wind lidar manufactures wind lidars. Meanwhile however, new methodologies for power curve assessment based on ground-based and nacelle based lidars have also emerged. For improving the turbines power curve assessments and for advancing their control with feed-forward wind measurements experience has also been gained with wind lidars installed on turbine nacelles and integrated into the turbines rotating spinners. A new mobile research infrastructure WindScanner.dk has also emerged at DTU Wind Energy. Wind and turbulence fields are today scanned from sets of three simultaneously in space and time synchronized scanning lidars. One set consists of three fast scanning continuous-wave based wind lidars (short-range system), and another consisting of three synchronized pulsed wind lidar systems (long-range system). Today, wind lidar profilers and WindScanners are routinely deployed and operated during field tests and measurement campaigns. Lidars have been installed and operated from ground, on offshore platforms, and also as scanning lidars integrated in operating turbines. As a result, wind profiles and also detailed 3D scanning of wind and turbulence fields have been achieved: 1) of the free wind aloft, 2) over complex terrain, 3) at coastal ranges with land-sea interfaces, 4) offshore, 5) in turbine inflow induction zone, and 6) of the complex and turbulent flow fields in the wakes inside wind parks.

T Mikkelsen

2014-01-01T23:59:59.000Z

102

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

103

Solid oxide fuel cell development at Topsoe Fuel Cell A/S and Risoe National Laboratory  

SciTech Connect (OSTI)

The consortium of Topsoe Fuel Cell A/S and Risoe National Laboratory has up-scaled its production capacity. Stacks are based on a compact thin plate multilayer design with metallic interconnects and 12x12 cm{sup 2} or 18x18 cm{sup 2} foot print. Larger (500 cm{sup 2}) cells are currently under evaluation. Stacks have been tested successfully for more than 13000 hours. Several 50 or 75 cell stacks in the 1+ kW power range have been tested successfully at a fuel utilisation of up to 92%. Multi stack modules consisting of four 75 cell stacks have been tested for more than 4000 hours with pre-reformed natural gas and modules consisting of twelve stacks are under development. Our SOFC program comprises development of next generation cells with porous ferritic steel is used as a cheap, ductile, robust cell support and the electrolyte is based on scandia-doped zirconia with improved durability. In collaboration with Waertsilae, a 24-stack prototype based on natural gas is being tested. The range of fuels have further been extended to include ethanol and coal syn-gas by development of a new coke resistant catalyst suitable for future SOFC technology.

Niels Christiansen; J.B. Hansen; H.H. Larsen (and others) [Topsoe Fuel Cell A/S, Lyngby (Denmark)

2007-07-01T23:59:59.000Z

104

OSCAR (CSM) (DTU) OSCAR  

E-Print Network [OSTI]

Overlap of Coarse Grain Task Parallel Processing on a Multicore Processor Takamichi Miyamoto , Masahiro Branch OR AND Original Control Flow 1 2 3 4 5 6 7 8 910 11 12 13 14 3: 3.3 (MTG) MFG 3 (MTG) MFG MTG 2 AND OR MTG 3.4 (PG) PG PG 4 4.1 PE (DSM STORE) PE (CSM STORE) PE (LM LOAD) 4 Load1 Task1 Store1 Load2 Task2

Kasahara, Hironori

105

Riso-M-1937 Research Establishment Riso  

E-Print Network [OSTI]

.N.Singh, and P.Barlow May 1977 University of S U I H X , Brighton, and AERE Harwell, Didcot, England #12;A. E

107

De-trending of turbulence measurements Kurt S. Hansen1  

E-Print Network [OSTI]

, it is possible to estimate an approximate (linear) trend correction based on statistical data only. This paper, DK-2800 Lyngby; E-mail: ksh@mek.dtu.dk; Phone: +45 4525 4318 2 Risø National Laboratories - DTU, Wind Energy Department, P.O. 49, DK-4000 Roskilde; E-mail: gunner.larsen@risoe.dk; Phone: +45 4677 5056

108

Riso Report No. 372 5 Riso National Laboratory  

E-Print Network [OSTI]

generation in nuclear boiling water reactors is limited by a thermohydraulic phenomenon called burnout. When and Annuli at 30 to 90 bar by J0rgen Wiirtz Ris0 National Laboratory Department of Reactor Technology

109

Risoe Energy Conference Copenhagen, Denmark  

E-Print Network [OSTI]

Zambia Ltd (CEEEZ) Private Bag E721, Lusaka ZAMBIA Tel/Fax: +260 - 1 - 240267 Email: yamba Cane Molasses/Juice Crop Residues (Bagasse) Sugar/Solids Raw Sugar Industrial Uses Steam & Electricity%) Biomass (0%) Other/Nuclear (1.9%) Figure: SAPP Installed Electricity Capacity for 2000 (Total Energy 45 GW

110

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.

111

Ris-R-Report Urban Wind Energy-State of the Art 2009  

E-Print Network [OSTI]

-shore, the erection of wind turbines in urban areas is carried out and also shows perspectives regarding e. g. direct set the application of wind turbines in the urban environment in a relevant perspective. Information.risoe.dtu.dk #12;Risø-R-1668(EN) 3 1 INTRODUCTION 4 2 URBAN WIND TURBINES 5 2.1 Turbines Integrated in Buildings 5

112

Ris DTU Dec.3 2009WindScanner.eu 1 Ris DTU, Technical University of Denmark  

E-Print Network [OSTI]

engulfing today's and tomorrows huge on and offshore wind turbines. - a brig less RI for renewable energy IWES (onshore sites, Alpha Ventus ­ FINO 1- 3 offshore) · Norway: SINTEF (offshore technology, floatingScanner.eu Envisioned new RI European Centre for Wind Energy Research in Atmospheric Turbulent Flow "The Wind

113

Danish Atomic Energy Commission Research Establishment Riso  

E-Print Network [OSTI]

. Introduction The use of films and papers that change colour or shade when exposed to ionizing radiation quantities in thin- film dosimeters, over a wide dynamic range. For high- speed data acquisition, analogue-to-digital conversion could be programmed to give tabular or graphical absorbed dose readings from calibrated film

114

Riso Report No. 356 Ris National Laboratory  

E-Print Network [OSTI]

-melt accidents at the Swedish nuclear plant at Barseback. The release fractions for these accidents are taken of Nuclear Installations requested the Research Establishment Ris* to ".. by means of the best possible categories 6 2.2. Special features of the Rarseb'åck reactor 9 3. DOSES FROM ATMOSPHERICALLY DISPERSED

115

Riso-R-489LK Environmental Radioactivity  

E-Print Network [OSTI]

, STRONTIUM 90 [2j CESIUM 137, CESIUM 134 (3 J ALGAE, AMERICIUM 241, PLUTONIUM 239, PLUTONIUM 240, SEDI- MENTS

116

Danish Atomic Energy Commission Research Establishment Riso  

E-Print Network [OSTI]

A PERFORMANCE TEST OF WOOD-PLASTIC PARQUET FLOORING by Klaus Singer and Arne Vinther August 1972 AvaftaMo en OF WOOD-PLASTIC PARQUET FLOORING by Klaus Singer and Arne Vinther I M J K f ~ I T 1 17 pages + tabtes + 20 flooring with c top layer of radi- ation-cured wood-plastic face strips of two wood species, ash or maple

117

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

118

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

119

tra@kt.dtu.dk salamon@sdsu.edu  

E-Print Network [OSTI]

for optimizing the 2nd law efficiency (minimizing the entropy production, minimizing the exergy loss

Salamon, Peter

120

Ris National Laboratory DTU Optics and Plasma Research Department  

E-Print Network [OSTI]

beam injection and ion cyclotron resonance heating. The CTS system uses 100­150 kW 110 GHz gyrotron will provide up to 70 % of the heating in ITER. To optimise heating and current drive in magnetically confined of the ion heating. These results are in close agreement with numerical simulations. stefan

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

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)

122

m Riso-M-2563 Some open Questions Concerning  

E-Print Network [OSTI]

considerable attention among the controlled nuclear fusion communities [l]. Through the interaction and the input parameters of pel- let radius, rp and electron temperature, Te and density, ne could #12;- 6

123

T>*0>JOOo3>2> Riso M-2912  

E-Print Network [OSTI]

or sub-urban environments can be achieved. The fixation of the radioactive cations in soil soil layer seemed to be the oniy practicable way to eliminate the contamination. However, if the garden was dug and the contamination was buried at the depth of one spit, th

124

Riso-M-2616 Simulation of Operators' Response  

E-Print Network [OSTI]

ASSESSMENT, TAXONOMY September 1986 Risø National Laboratory, DK-4000 Roskilde, Denmark #12;ISBN 87 power plants is a very ambitious undertaking and will only be possible at present if all the simplifying). For the technical part of an industrial process plant, the DYIAH simulation program (Reina and Amanda, 1981

125

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

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concerning the establishment of nuclear power stations in Denmark. Risø is therefore still at stand is studied in col- laboration with other parties in Europe and in the United States. Examples-blade material for two 600 kW wind turbines built by a group of electricity generating companies, six wings

126

f = ^ Riso-M-2908 Mechanisms and Interaction  

E-Print Network [OSTI]

National Laboratory as part of the third EC Research Programme on Radioactive Waste Management. Waste radioactive waste. Water uptake from the air can be an important release mechanism when waste containing-1990 for Contract No FI lW-0089-DK-(B). Work performed in the frame of The Third EC Programme on Radioactive Waste

127

>T Danish Atomic Energy Commission ? Research Establishment Riso  

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Optimization 6 Analysis of Trouble Shooting Records 8 DR 2 Reactor Computer System 9 Nuclear Geophysical, and an account of the results is given below. A study of the job of the reactor operator at DR 2 ( task analysis of this method to quantitative probability analysis. Work on the English computer program for reliability

128

1>*.>'bOOO Kb Riso-R-642(EN)  

E-Print Network [OSTI]

the results of an X-ray diffraction study of the structure of laser ablated YBCO thin films. Four films were) systematically, it was possible to obtain films that were fully superconducting at 77 K and with an X-ray Tc is ascribed to this fact. In the last part of Chapter 1 thin film deposition by laser ablation

129

Riso Report No. 244 * Danish Atomic Energy Commission  

E-Print Network [OSTI]

ANNUAL PROGRESS REPORT for the Period Ending March 31st, 1971 #12;#12;CONTENTS Introduction Nuclear Materials Research Fuel Assembly Testing, Halden Irradiations Fuel Pin Testing, DR 3 Irradiations Post-Irradiation Examination of Uranium-Dioxide/Zircaloy-2 Fuel Assemblies Dragon Project Work . In-Pile Corrosion Testing

130

Riso Report No. 135 Danish Atomic Energy Comnlission  

E-Print Network [OSTI]

!. WI,;' 6 and 6' : 6 and 8' with open valves at both ends. o 0 LXL~ h = for 6 8 (fig. 5 direction per cm tube length (fig. 3): DfP AM 2 u = 2 It 1rT 1tT" v N(l-N). Coefficient of diffusion

131

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)

132

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.

133

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.

134

Modeling Word Burstiness Using the Dirichlet Distribution Rasmus E. Madsen rem@imm.dtu.dk  

E-Print Network [OSTI]

search for a model that fits documents well within an exponential family of models, while Jansche (2003

135

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

E-Print Network [OSTI]

· Aktive deltagere (2007): Australien, Belgien, Canada, Danmark, EU, Finland, Tyskland, Grækenland, Italien) Renewable Energy Technologies (9) · Bioenergy · Hydrogen · Hydropower, Ocean Energy Systems · Wind Turbines

136

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

E-Print Network [OSTI]

) of energy policies and of future energy systems, both at the level of individual countries. Cross-border grid-distributed energy trade and common action among the Nordic countries to facilitate CO Implementing Agreement of the International Energy Agency (IEA) · 2b) Energy Technology Roadmap and Stakeholder

137

DTU Byg-Sagsrapport SR-210 (DK) Svend Svendsen, David Appel-  

E-Print Network [OSTI]

and Net Energy Gain, but also the total annual energy consumption and the energy consumption for heating the energy balance of the window and reduces the energy consumption for heating. In the typical "Dannebrog the proposals, values for thermal performance and the effect of the window on the building energy consumption

138

Comparative Microbial Genomics group CenterforBiologicalSequenceAnalysisTheTechnicalUniversityofDenmarkDTU  

E-Print Network [OSTI]

Comparative Microbial Genomics group Centerfor systematics - is it relevant to modern science? Istanbul, Turkey 8 August, 2008 - or - What can genomics tell us about Vibrio species? Discovering natural groups in Vibrio #12;Comparative Microbial Genomics

Ussery, David W.

139

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

140

[T)T7rrs rrz\\ Riso-R540 Environmental Radioactivity  

E-Print Network [OSTI]

and meat. Cesiur.-137 was deter- mined in air, precipitation, sea water, sediment, milk, grain products bone. Fur- thermore, ^Sr was determined in local samples of air, rain water, grass, sea plants, fish environments at Barsebåck and Ringhals were monitored for 'J 'Cs and corrosion products ( C o , 60 Co, 65 Zn, 5

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141

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

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Wind Resource Atlas 5 L. Landberg and R. Watson. Wind and Turbulence in the Near-Coastal Offshore. The IEC Safety Code for Wind Turbines 86 C.J. Christensen and P.H. Jensen. Experimental Determination. Concept Testing of Wind Turbines 86 U-S. Paulsen, G-C Larsen, SM. Petersen, and TF. Pedersen. Spot Check

142

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

E-Print Network [OSTI]

Kiev, Ukraine IgorV.Rolevich Chernobyl State Committee Minsk, Belarus Anatoliy M. Skryabin Research after the Chernobyl accident in the CIS republics Ukraine, Belarus and Russia have been evaluated the Chernobyl accident 26 3.4 Comparison of BARD and ASQRAD risk calculations 31 3.5 Attributable risks from

143

Radiation Research Department Paper: www.risoe.dk/rispubl/art/2007_333.pdf  

E-Print Network [OSTI]

and released to the environment by human nuclear activity, including nuclear weapons testing, operation of Radionuclides in Environmental, Biological and Nuclear Waste Samples Xiaolin Hou and Per Roos Radiation Research in Environmental, Biological and Nuclear Waste Samples Xiaolin Hou* Per Roos Radiation Research Department, Risø

144

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

E-Print Network [OSTI]

. In the Metallurgy Department the nuclear work comprises projects within design, fabrication and testing of fuel-Destructive Testing. An article on Wingblades of Glass Fibre Reinforced Polyester for a 630 kW Windturbine is also by the staff during 1979 is included. INIS-descriptors: FUEL ELEMENTS, METALLURGY, NON-DESTRUCTIVE TESTING

145

UCRL-JC- I250 M. Dreicer, USA; A. Aaricrog, Riso National Laboratory...  

Office of Scientific and Technical Information (OSTI)

direct effects to observable, but not necessarily significant, changes to the overall health of populations. In some cases, the populations returned to normal in a few years,...

146

m)T7(T^/f^\\ \\ / Riso-R-430 The Geochemistry  

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, stability-diagrams for the transuranium elements from uranium to americium under diverse conditions have is discussed, and recent experimental data are presented. INIS Descriptors: ACTINIDES, ADSORPTION, AMERICIUM-LEVEL HASTE 22 Uranium 31 Neptunium 35 Plutonium 38 Americium 41 CHEMISTRY OF TECHNETIUM 44 ADSORPTION

147

November, 1967 Riso Report No. 170 Investigations on the Plant Uptake of Fission Products from Contaminated  

E-Print Network [OSTI]

and Caesium by A,J. Andersen The Danish Atomic Energy Commission Research Establishment RIBG Agricultural relatively high in the roots of root crops and low in seeds and fruits. The Sr-89 uptake from different soil the influence of such factors as the plant species, soil types, cultivation practices, liming, and mineral

148

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 Denmark 8th May 2007 Background Bioenergy is an important topic to include in a foresight analysis of the world agricultural markets and Europe. In the recent Agricultural Outlook report from OECD-FAO1

149

RIS-M-2320 NEUTRON RADIOGRAPHY AT THE RIS NATIONAL LABORATORY  

E-Print Network [OSTI]

are presented. INIS descriptors: FUEL ELEMENTS? NEUTRON RADIOGRAPHY; POST- IRRADIATION EXAMINATION? RISOE

150

All I l d G id St d R lt i t tiAll Island Grid Study Results concerning system operation Peter Meibom, Ris DTU  

E-Print Network [OSTI]

Britain: · Eight aggregated power plant classes · Wind power production time series equal to Irish wind: Wind variability management studies · Impacts of renewable generation on All-Island power system · Stochastic input in the form of a scenario tree · Stochastic input: Wi d d ti f t (di t h)· Wind power

151

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

Open Energy Info (EERE)

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

152

Datasets - OpenEI Datasets  

Open Energy Info (EERE)

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

153

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

Open Energy Info (EERE)

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

154

Nepal: Applications of Renewable Energy Technologies - Datasets...  

Open Energy Info (EERE)

of Renewable Energy Technologies (Abstract): Wind, biomass, bio-gas, photovoltaic and small hydro renewable energy technologies in Nepal (Purpose): SWERA Documentation Data and...

155

Nonce Generators and the Nonce Reset Problem  

E-Print Network [OSTI]

Nonce Generators and the Nonce Reset Problem Erik Zenner Technical University Denmark (DTU) Department of Mathematics e.zenner@mat.dtu.dk Pisa, Sep. 9, 2009 Erik Zenner (DTU-MAT) Nonce Generators Pisa value that is used only once. Erik Zenner (DTU-MAT) Nonce Generators Pisa, Sep. 9, 2009 2 / 29 #12

Zenner, Erik

156

R I S R S B E R E T N I N G 1 9 9 8 www.risoe.dk/afm  

E-Print Network [OSTI]

samme retning som vinden. Afpr�vninger af vind- m�ller er foretaget s� forskellige steder som Jylland�iske vind- energikonference i Nice, og siden er sal- get g�et st�t fremad. Alene i 99 er der solgt 190 trans- porterer elektricitet uden tab af energi. Str�m er reelt transport af elektrisk lad- ning, n

157

Experimental: Gel Electrolyte The gel mixtures were designed to be cast as  

E-Print Network [OSTI]

PEDOT:PSS as counter electrode, which demonstrated good Iodine regenerative catalytic activity .[2] www.risoe.dk/solarcells

158

--Ris6 Report No. 198 * Danish Atomic Energy Commission  

E-Print Network [OSTI]

00 -- Ris6 Report No. 198 * Danish Atomic Energy Commission et Research Establishment Riso, Danish Atomic Energy Commission, Riso, DK-4000 Roskilde, Denmark #12;#12;April, 1969 Itiso Report No. I Energy Commission Research Establishment Riso Metallurgy Department Abstract In connection

159

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

160

Detection of skin cancer Section for Cognitive Systems  

E-Print Network [OSTI]

, Technical University of Denmark for EOD HCI systems extraction of meaningful and actionable information.imm.dtu.dk 06/11/20093 DTU Informatics, Technical University of Denmark for EOD HCI systems extraction

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We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

Session: Poster Session + Poster Award + Scientific Award + Excellent young wind doctor award (PO.210) Track: Technical  

E-Print Network [OSTI]

-ID: 464) Hans E. Joergensen (Risø DTU, Windenergy, Denmark) Michael Courtney, Denmark (1) Torben Mikkelsen

162

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.

163

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.

164

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.

165

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.

166

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.

167

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;

168

IEEE Computer Society kasahara@waseda.jp  

E-Print Network [OSTI]

of Static Schedule for Heterogeneous Multi-core with Data Transfer Overlapping and Power Control CPU0 CORE DTU CPU1 CORE DTU CPU2 CORE DTU CPU3 CORE DTU DRP0 CORE DTU MT1-1 MT1-2 LOAD LOAD LOAD LOAD MT1-3 MT1-4 SEND SEND MT2-1 SEND LOAD SEND MT2-2 LOAD MT2-3 SEND OFF OFF OFF MT3-1 LOAD MT2-4MT3-2 MT3-3 SEND LOAD

Kasahara, Hironori

169

A Review of Energy Use and Energy Efficiency Technologies for the Textile Industry  

E-Print Network [OSTI]

Renewable and Sustainable Energy Reviews, Volume 16 (2012) [113] UNEP Risoe Center, Developing financial intermediation mechanism for energy-efficiency projects in Brazil,

Hasanbeigi, Ali

2014-01-01T23:59:59.000Z

170

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

Open Energy Info (EERE)

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

171

Design of Wind Turbines in an Area with Tropical Cyclones Niels-Erik Clausen, niels-erik.clausen@risoe.dk, Sren Ott, Niels-Jacob Tarp-Johansen, Per Nrgrd and  

E-Print Network [OSTI]

Design of Wind Turbines in an Area with Tropical Cyclones Niels-Erik Clausen, niels and cost of wind turbines is influenced by a combination of fatigue and extreme loads and the applied design codes. In general wind turbines are designed for 20 years of operation using design standards

172

Sustainable Transport Practices in Latin America Jorge Rogat and Miriam Hinostroza  

E-Print Network [OSTI]

Centre, Energy Climate and Sustainable Development Roskilde, Denmark E-mail: Jorge.rogat@risoe.dk miriamSustainable Transport Practices in Latin America Jorge Rogat and Miriam Hinostroza UNEP Risoe. BRT systems are operational or under construction in Mexico City, Mexico; Sao Paulo, Brazil; Santiago

173

Ri* Report No. 139 Danish Atomic Energy Commission  

E-Print Network [OSTI]

I 3 Ri* Report No. 139 Danish Atomic Energy Commission Research Establishment Riso Metallurgy Energy Commission Research Establishment Riso METALLURGY DEPARTMENT ANNUAL PROGRESS REPORT for th* Period firet pbaaa, aeorieoaf olamente willba laaaaiBaaliii ail lorIrradiation InmoHaMoa raarrtor ia Norway

174

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.

175

E-Print Network 3.0 - automated sequence-specific protein Sample...  

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Summary: interactions with other cellular compo- nents 222. A role for induced protein folding in sequence- specific... :www.cbs.dtu.dkservicesCPHmodels) An automated...

176

E-Print Network 3.0 - af lokaliseret prostatacancer Sample Search...  

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og videreudvikling af avancerede aerodynamiske og aeroe- lastiske... Ve- stas Wind Systems AS. I projektet har Ris og DTU demonstreret anvendelsen af deres...

177

E-Print Network 3.0 - ade mabonguje poul Sample Search Results  

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doctor award (PO.194) Track: Technical Summary: -ID: 191) Uwe Schmidt Paulsen (Ris DTU, Wind energy department, Denmark) Poul Srensen, Denmark (1) (1 Source: Ris National...

178

E-Print Network 3.0 - aflastning af tumorbetinget Sample Search...  

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og videreudvikling af avancerede aerodynamiske og aeroe- lastiske... Ve- stas Wind Systems AS. I projektet har Ris og DTU demonstreret anvendelsen af deres...

179

E-Print Network 3.0 - akutte og kroniske Sample Search Results  

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i aeroelastici- tet EFP-98", der er gennemfrt i et samarbejde mellem DTU og Ris samt vind... .h.t. tipkorrektion og tur- bulent indstrmning (vindretningsndringer). ...

180

E-Print Network 3.0 - af nye vildtyper Sample Search Results  

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

og Administration DTU, Bygning 101 A Summary: flger af fusionen, blev nvnt vedvarende energi, fdevarer og akvakultur. Nye uddannelsestilbud er en... end- videre en...

Note: This page contains sample records for the topic "riso dtu swera" from the National Library of EnergyBeta (NLEBeta).
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181

E-Print Network 3.0 - anvendes ved utilsigtede Sample Search...  

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

Multidisciplinary Databases and Resources 36 Kaj Thomsen, DTU Jrgen Peter Jensen, Energi E2 Summary: ved en separationsproces hvor der opns to fraktioner: 1) Kaliumholdig...

182

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

183

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

184

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

185

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

186

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"

187

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.

188

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

189

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

190

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

191

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

192

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

193

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

194

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

195

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

196

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

197

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)

198

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)

199

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"

200

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"

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

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

202

China-DLR Resource Assessments | Open Energy Information  

Open Energy Info (EERE)

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

203

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,

204

The Active Site of Methanol Synthesis over Cu/ZnO/Al2O3 Industrial Catalysts  

Science Journals Connector (OSTI)

...Available for free at wiki.fysik.dtu.dk/dacapo...Available for free at wiki.fysik.dtu.dk/ase. 43...density-functional theory using revised Perdew-Burke-Ernzerhof...of Energy, Office of Basic Energy Sciences...with density functional theory calculations. The active...

Malte Behrens; Felix Studt; Igor Kasatkin; Stefanie Khl; Michael Hvecker; Frank Abild-Pedersen; Stefan Zander; Frank Girgsdies; Patrick Kurr; Benjamin-Louis Kniep; Michael Tovar; Richard W. Fischer; Jens K. Nrskov; Robert Schlgl

2012-05-18T23:59:59.000Z

205

Department of Informatics and Mathematical Modeling / Intelligent Signal Processing Section CIP Workshop June 10  

E-Print Network [OSTI]

Department of Informatics and Mathematical Modeling / Intelligent Signal Processing Section CIP Technical University of Denmark #12;CIP Workshop June 10 ISP / DTU Informatics / Ling Feng Outline 1.Conclusion #12;CIP Workshop June 10 ISP / DTU Informatics / Ling Feng What is Cognitive Component Analysis

206

Bachelor projekt Dipl.Ing.IT  

E-Print Network [OSTI]

vedligeholdelse af produktkonfigureringssystemer Anders Degn Kongens Lyngby, 29. april 2006 IMM-B.Eng-2006-17 #12 Lyngby, Denmark Phone +45 45253351, Fax +45 45882673 reception@imm.dtu.dk www.imm.dtu.dk IMM-B.Eng-2006 papers der forventes udgivet andetsteds i Juni 2006. Projektet er udført i perioden 2. februar 2006 til 1

207

This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research  

E-Print Network [OSTI]

electric showerheads in low-income families. Large-scale water heating systems also present high 4 years for small scale water heating systems. c Large-scale water heating systems also present high May 2012 Available online 30 June 2012 Keywords: Energy scenarios Solar heating systems SWERA database

208

E-Print Network 3.0 - andersen cascade impactor Sample Search...  

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

Centre de mathmatiques Collection: Mathematics 42 RISO-M-2438 Dry deposition and resuspension of Summary: 4 5 DIAMETER (iMcrons) Pig. 2. Size distribution of Pb in a 2-hour...

209

E-Print Network 3.0 - aluminium complexes Sample Search Results  

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

Page: << < 1 2 3 4 5 > >> 1 RisO Report No. 223 Danish Atomic Energy Commission Summary: -Strengthened Aluminium Products by Niels Hansen March, 1971 Sales aTitrlbttton:...

210

E-Print Network 3.0 - aluminium 39 Sample Search Results  

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

39 Page: << < 1 2 3 4 5 > >> 1 RisO Report No. 223 Danish Atomic Energy Commission Summary: -Strengthened Aluminium Products by Niels Hansen March, 1971 Sales aTitrlbttton:...

211

Individual monitoring for internal exposure in Europe and the integration of dosimetric data  

Science Journals Connector (OSTI)

......applications using depleted uranium. Table 30...Occupational Health, Belgrade Medical...techniques Applied Health Physics, Riso...containing natural uranium and natural...monitoring. Health Phys. 70...americium and uranium. In: Proceedings......

M. A. Lopez Ponte; C. M. Castellani; L. Currivan; R. Falk; P. Olko; C. Wernli

2004-11-01T23:59:59.000Z

212

E-Print Network 3.0 - americium complexes Sample Search Results  

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

7 m)T7(Tf Riso-R-430 The Geochemistry Summary: . The components in ground water which may enhance migration by complexation are found to be primarily bicarbonate......

213

E-Print Network 3.0 - aluminium beams strengthened Sample Search...  

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

beams strengthened Search Powered by Explorit Topic List Advanced Search Sample search results for: aluminium beams strengthened Page: << < 1 2 3 4 5 > >> 1 RisO Report No. 223...

214

E-Print Network 3.0 - aluminium 27 beams Sample Search Results  

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

beams Search Powered by Explorit Topic List Advanced Search Sample search results for: aluminium 27 beams Page: << < 1 2 3 4 5 > >> 1 RisO Report No. 223 Danish Atomic Energy...

215

E-Print Network 3.0 - alternate soil clean-up Sample Search Results  

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

3... . The coatings could also be used in clean-up procedures for .ion- radioactive pollutants. 5. Acknowledgments... T>*0>JOOo3>2> Riso M-2912 M The Characterization and Removal...

216

The Free NADH Concentration Is Kept Constant in Plant Mitochondria under Different Metabolic Conditions  

Science Journals Connector (OSTI)

...generator (PG-200) unit (both from Princeton Instruments) coordinated the onset of...Putnam, F.W., ed (1975). The Plasma Proteins: Structure, Function, and...of cellular metabolism. | Optics and Plasma Research Department, Riso National Laboratory...

Marina R. Kasimova; Jurgita Grigiene; Klaas Krab; Peter H. Hagedorn; Henrik Flyvbjerg; Peter E. Andersen; Ian M. Møller

2006-02-03T23:59:59.000Z

217

RisNyt NO4 2004 7 Brint kan lagres bde som vske,  

E-Print Network [OSTI]

kan have en stor brinttank på taget. Forsøgene udføres i ni europæiske storbyer i EU-projektet Clean storage: www.risoe.dk/rispubl/energy_report3/ris-r- 1469s31-36.pdf Materials technology - synthesis, proces- sing and product: www.risoe.dk/afm/tech- nology/technology.htm Ekstra materiale til denne artikel

218

Magnitude, geomorphologic response and climate links of lake level oscillations at Laguna Potrok Aike, Patagonian steppe (Argentina)  

E-Print Network [OSTI]

Aike, Patagonian steppe (Argentina) P. Kliem a,*, J.P. Buylaert b,c , A. Hahn a , C. Mayr d,e , A for Sustainable Energy, Technical University of Denmark (Risø DTU), DK-4000 Roskilde, Denmark d Institute

219

The UNEP project CD4CDM CDM PDD Guidebook  

E-Print Network [OSTI]

The UNEP project CD4CDM CDM PDD Guidebook: Navigating the Pitfalls Second edition #12;CDM PDD on Energy, Climate and Sustainable Development DTU -Risø Roskilde, Denmark Graphic design and production... .... .... .... .... .... .... .... .... .... .... .... .... .... .... .... .... 10 The CDM Project Development

220

Genomic Insights into Processes Driving the Infection of Alexandrium tamarense by the Parasitoid Amoebophrya sp.  

Science Journals Connector (OSTI)

...acid sequences with the Virtual Ribosome tool ( http://www.cbs.dtu.dk/services/VirtualRibosome ), and the batch web CD-search tool ( http://www.ncbi.nlm.nih.gov/Structure/bwrpsb/bwrpsb.cgi ) was used to assign eukaryotic...

Yameng Lu; Sylke Wohlrab; Gernot Glckner; Laure Guillou; Uwe John

2014-09-19T23:59:59.000Z

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

E-Print Network 3.0 - af mikrokirurgisk operation Sample Search...  

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

Databases and Resources 84 T E K N I S K E UNIVERSITET Summary: DTU) Peter Simonsen (Energi E2 AS) Jann Aune (MT Hjgaard AS) Elektrokemisk fjernelse af Cd fra bioasker...

222

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 DTU; sVEND sVENDsEN, HENRIk M. TOMMERUP, bYg DTU; JøRN bORUP JENsEN, DANIsH ENERgY AssOCIATION 4.1 Introduction Figure 6 shows how energy efficiency improvements have reduced EU energy intensity during the past

223

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.

224

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.

225

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)

226

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.

227

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

228

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.

229

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

230

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.

231

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

232

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

233

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.

234

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

235

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

236

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)

237

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.

238

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)

239

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.

240

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

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

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.

242

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.

243

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,

244

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)

245

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.

246

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

247

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

248

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).

249

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

250

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

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

251

BGP: GPAW | Argonne Leadership Computing Facility  

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

252

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 that encourages manufacture of alternative energy equipment in Brazil. 2. Replace subsidies via CCC by extension (in many cases at lower voltage). 6. RGR funds must give preference to small-scale renewable energy

253

Dependability of Wind Energy Generators with Short-Term Energy Storage  

Science Journals Connector (OSTI)

...individual nuclear reactor. At Riso, the yearly out--o a 0 L-0 L-as a1) 3:0 a2 BWR Power duration curve Vermont Yankee 1974 O I '. l.0 20 40 60 80 1 percent of time in which power exceeds E 2 x average Fig. 2. Typical power duration...

BENT SRENSEN

1976-11-26T23:59:59.000Z

254

Geophysical Research Abstracts, Vol. 10, EGU2008-A-01841, 2008  

E-Print Network [OSTI]

and a major part of existing offshore wind farms is located here. Each wind farm project has its own, Denmark (charlotte.hasager@risoe.dk) The Scandinavian Seas have high potential for wind farming meteorological measurement campaign for the local area, yet for a broader view of the offshore wind resources

255

Magnetic Excitations in Ho2Co17and Ho2Fe17  

E-Print Network [OSTI]

v_ (C a 2 Riso-R-426 Magnetic Excitations in Ho2Co17and Ho2Fe17 An Inelastic Neutron Scattering MAGNETIC EXCITCATIONS IN H02C017 AND H02Fe-j7 AN INELASTIC NEUTRON SCATTERING STUDY K.N. Clausen Abstract. The low energy part (magnetic exci- tation spectrum of the uniaxial easy basal plane

256

RECYCLING AND REMOVAL OF OFFSHORE WIND TURBINES AN INTERACTIVE METHOD FOR REDUCTION OF NEGATIVE ENVIRONMENTAL EFFECTS  

E-Print Network [OSTI]

RECYCLING AND REMOVAL OF OFFSHORE WIND TURBINES ­ AN INTERACTIVE METHOD FOR REDUCTION OF NEGATIVE.borup@risoe.dk ABSTRACT: This paper describes a method for reduction of negative environmental impacts of wind turbines and an analysis of future removal and recycling processes of offshore wind turbines. The method is process

257

Ris National Laboratory Radiation Research Department  

E-Print Network [OSTI]

Risø National Laboratory Postprint Radiation Research Department Year 2007 Paper: www Radiation Physics, Lund University Hospital, 22185 Lund, Sweden 12 Lab. d'Analyses de Surveillance et d Tokai works, Tokai-mura, Naka-gun, Ibaraki 319-1994, Japan 17 Risoe National Laboratory, 4000 Roskilde

258

Understanding energy technology developments from an innovation system perspective  

E-Print Network [OSTI]

.borup@risoe.dk Abstract With the increased market-orientation and privatisation of the energy area, the perspectiveUnderstanding energy technology developments from an innovation system perspective Mads Borup1. This paper presents an innovation systems analysis of new and emerging energy technologies in Denmark

259

0\\z%Soao\\o5 D^n rrc\\]/r>;\\ Ris-R-513  

E-Print Network [OSTI]

range of subjects such as the development of energy-econ- omy models, technical and economic assessments-economy models, energy systems analysis, energy technology assessment and energy planning. The report includes; PLANNING; POWER DEMAND; R ".SEARCH PROGRAMS; RISOE NATIONAL LABORATORY; INDUSTRY; POWER GENERATION February

260

Ris National Laboratory Ris-M 2187 Title and author(s)  

E-Print Network [OSTI]

-6435 Riso Repro 1979 #12;CONTENTS 1. MAIN ACTIVITY AREAS Structural Mechanics Engineering Services Technical of selected activi- ties. Main activity areas are: - Structural Mechanics - Engineering Services - Technical in the list of references at the end cf the present progress report. Engineering Services The general

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

Geophysical Research Abstracts, Vol. 10, EGU2008-A-01837, 2008  

E-Print Network [OSTI]

Energy Department, Roskilde, Denmark (charlotte.hasager@risoe.dk) In 2006-2007 the Galathea 3 global during the expedition ­ in particular a large amount of Eu- ropean Space Agency Envisat images - as well is kindly supported by the Danish Ministry of Education Tips and Lottopuljen and Galathea3 scientists. #12;

262

Risfi Report No. 249 Prtl(pp. l-3)  

E-Print Network [OSTI]

Risfi Report No. 249 P«rtl(pp. l-«3) I? iJ | Danish Atomic Energy Commission ·Si * a Research at the Danish AEC Research Establishment Riso 11-14 October 1971 Sponsored by The Danish Atomic Energy Commission and Hie International Atomic Energy Agency December 1971 Salt* distributor*: JoL Ojattofup, 87

263

Modification of Glassy Carbon Surfaces by an Atmospheric Pressure Cold Plasma H. Mortensen 1  

E-Print Network [OSTI]

Modification of Glassy Carbon Surfaces by an Atmospheric Pressure Cold Plasma Torch H. Mortensen 1. Bindslev 1 1 Optics and Plasma Research Department, 2 Danish Polymer Centre, 3 Materials Research/FAX: +45-4677-4532/+45-4677-4565. E-mail: henrik.junge.mortensen@risoe.dk Plasma treatment of glassy carbon

264

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 by Risoe National Laboratory, Dept. of Wind Energy for assessment of offshore wind resource maps based an alternative method for wind data input in offshore regions based on satellite SAR wind field observations

265

Ris6-M-17G7 r-* Danish Atomic Energy Commission  

E-Print Network [OSTI]

Ris6-M-17G7 r-* Danish Atomic Energy Commission ? Research Establishment Riso ··o if ELECTRONICS of the Danish Atomic Energy Commission (Atomenergikommissionens Bibliotek), Rise, DK-4000 Roskilde, Denmark.".aly:;is failure r.ode and effects analysis, and fault tree analy.si:., are two established techniques for studyinp

266

Information Seeking and Sharing in Design Teams Steven Poltrock  

E-Print Network [OSTI]

Information Seeking and Sharing in Design Teams Steven Poltrock Boeing Phantom Works Seattle, WA.m.pejtersen@risoe.dk ABSTRACT Information retrieval is generally considered an individual activity, and information retrieval research and tools reflect this view. As digitally mediated communication and information sharing increase

Belkin, Nicholas J.

267

RisB Report No. 248 Danish Atomic Energy Commission  

E-Print Network [OSTI]

RisB Report No. 248 Z ti Danish Atomic Energy Commission .3 Research Establishment Riso OS Studies Energy Commission Research Establishment Kisd Roskilde #12;Denne afhandling er i forbindelse med de i on Transport of Mass and Energy in the Vortex Tube The Significance of the Secondary Flow and Its Interaction

268

FttsWd-1679 Danrsh Atomic Energy Commission  

E-Print Network [OSTI]

'ft; s-Tr^R'' -X" »·~VJ FttsWd- 1679 Danrsh Atomic Energy Commission Researtift Establishment Riso Atomic Energy Commission (Atomenergikommissionens Bibliotek), Ris«, DK-4000 Roskilde, Denmark Telephone During IMeV Electron Irradiation by B.N. Singh Metallurgy Department, Danish Atomic Energy Commission

269

3 I Ris6 Report No. 246 * Danish Atomic Energy Commission  

E-Print Network [OSTI]

3 I Ris6 Report No. 246 I * Danish Atomic Energy Commission Research Establishment Riso« Danish Atomic Energy Commission. 1.4. The present investigation was carried out along with corresponding, Danitta Atomic Energy CommiwioD, RitO, DK-4000 Rotkilde, Denmark #12;#12;July, 1971 RisC Report No. 246

270

Risd Report No. 235 S Danish Atomic Energy Commission  

E-Print Network [OSTI]

i Risd Report No. 235 S Danish Atomic Energy Commission ·S s Research Establishment Riso December, 1970 Sola dlurlbmn; Jul. Ojc.ienip, 87, Sølvgade, DK-I307 Copenhagen K, Denmark Available on txchangtfrom: Library, Danish Atomic Energy Commiision, RUS, DK-4O0O RotkUde, Danmark #12;U.D.C 621

271

SESILwww.nordSESIL.net NordSESIL.net  

E-Print Network [OSTI]

for Energy Technology, Norway www.ife.no RIS? Risø National Laboratory, Denmark www.risoe.dk DPC the Danish Risø Centre for Energy, Climate and Sustainable Development Coordinator of the new NordSESIL network populations · isolated energy systems · high enegy costs · high relative energy demands (heating

272

Paper for the International Conference: Foresight Management in Corporations and Public Organisations New Visions for Sustainability, Helsinki, June 9-10, 2005  

E-Print Network [OSTI]

with sustainability. This builds both on the arguments and different points of critiques there have been made Organisations ­ New Visions for Sustainability, Helsinki, June 9-10, 2005 Sustainability requirements, Risø National Laboratory, mads.borup@risoe.dk Building 110, Frederiksborgvej 399, Postbox 49, 4000

273

Experimental: Sample Preparation TiO2 compact (TiO2comp) anatase films (0.1  

E-Print Network [OSTI]

) solar cells by an embossing technique to increase light harvesting and electron percolation.biancardo@risoe.dk Working principle of ETA solar cells: light irradiation (1) produce excitation (2) of the absorber (Abs 20 kgcm-2). Experimental: Device Testing Sun simulation was provided by a solar simulator KHS Solar

274

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

275

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

276

Stuck in Neutron Neutral  

Science Journals Connector (OSTI)

...Annual budget ( millions) External users BBR Budapest 11 2 60 DR3 Riso* 7 12-15 120 R2 Studsvik 6 2-4 60 FRG-1 Geesthacht 8 20-25 70 FRJ-2 Julich 16 25-27 150 IRI TU Delft 4 3 15 ILL Grenoble 30 60 1200 BERII Berlin 20 27 300 Orphee Saclay...

Daniel Clery; Gretchen Vogel

2003-05-23T23:59:59.000Z

277

Environmental Science and Technology Department  

E-Print Network [OSTI]

in Relation to Risk Assessment 27 3.4 The Barley/Powdery Mildew System 27 3.5 Interaction between Crop Plants. the Experimental Farm b3 8.5 Open Top Chamber Facility 63 8.6 Riso Ecological Risk Assessment Faci- lity RERAF 64 9 Cycling. 5. Applied Geochemistry 6. Ecology and Mineral Cycling. 7. Other Activities. The department

278

Evidence of trends in near-surface wind speeds over the Baltic S.C. Pryor1,2  

E-Print Network [OSTI]

1 Evidence of trends in near-surface wind speeds over the Baltic S.C. Pryor1,2 , R.J. Barthelmie2 and Atmospheric Physics, Risoe National Laboratory, DK4000 Roskilde, Denmark ABSTRACT Annual mean wind speeds over associated with increases in the upper quartile of the wind speed distribution and the winter season. Trends

279

Wind Turbine Pitch Angle Controllers for Grid Frequency Stabilisation  

E-Print Network [OSTI]

Laboratory Wind Energy Department P.O. Box 49 DK-4000 Roskilde, Denmark clemens.jauch@risoe.dk Abstract in Norway [4]. For the purpose of this research work the power system model has been extended with a windWind Turbine Pitch Angle Controllers for Grid Frequency Stabilisation Clemens Jauch Risø National

280

Tools supporting wind energy trade in deregulated markets  

E-Print Network [OSTI]

Tools supporting wind energy trade in deregulated markets ´Ulfar Linnet Kongens Lyngby 2005 IMM.imm.dtu.dk IMM-THESIS: ISSN 0909-3192 #12;Abstract A large share of the wind energy produced in Scandinavia in a fine, called regulation cost. As wind energy comes from an uncontrollable energy source - the 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.


281

Tools supporting wind energy trade in deregulated markets  

E-Print Network [OSTI]

Tools supporting wind energy trade in deregulated markets ?? Ulfar Linnet Kongens Lyngby 2005 IMM.imm.dtu.dk IMM­THESIS: ISSN 0909­3192 #12; Abstract A large share of the wind energy produced in Scandinavia in a fine, called regulation cost. As wind energy comes from an uncontrollable energy source ­ the wind

282

A Web Service for Annotation of Documents  

E-Print Network [OSTI]

i A Web Service for Annotation of Documents Master's Thesis Henrik Bartholdt Sønder Kongens Lyngby.compute.dtu.dk #12;iii Abstract This master's thesis describes the design and implementation of a web- based service as well, testing the system against the top ten most critical flaws in web application security

283

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

284

EASA Institute of Advanced Studies on Sustainability, Munich -Germany ResponseResponse  

E-Print Network [OSTI]

EASA Institute of Advanced Studies on Sustainability, Munich - Germany ResponseResponse ofof WaterClimate Change Peter A. Wilderer Munich, Germany L. A. Colding Lecture, DTU Lyngby, Denmark, 19-06-2007 #12;EASA Institute of Advanced Studies on Sustainability, Munich - Germany content some general thoughts WS&T ­ long

Mosegaard, Klaus

285

Aerodynamics and Aeroelastics, WP 2 Flemming Rasmussen  

E-Print Network [OSTI]

Aerodynamics and Aeroelastics, WP 2 Flemming Rasmussen Aeroelastic Design Wind Energy Department Risø DTU #12;WP2 Aero-dynamics and Aero-elastics OBJECTIVES 1. Development of nonlinear structural dynamic models (modeling on the micromechanical scale is input from WP3). 2. Advanced aerodynamic models

286

Cache Timing Analysis of eStream Finalists Erik Zenner  

E-Print Network [OSTI]

is is good for? Loading data from cache is much faster than loading data from RAM (e.g. RAM access 50 cycles: Check whether requested data is at cache address (a mod n). If not, load data into cache address (a mod n). Load data item directly from cache. Erik Zenner (DTU-MAT) Cache Timing Analysis e

Zenner, Erik

287

Cache Timing Attacks on eStream Finalists Erik Zenner  

E-Print Network [OSTI]

Workings (1) Motivation: Loading data from cache is much faster than loading data from RAM (by a factor mod n). If not, load data into cache address (a mod n). Load data item directly from cache. Similarly loading a piece of data to cache, load the whole block that surrounds it. Erik Zenner (DTU-MAT) Cache

Zenner, Erik

288

Automatic selection of tuning parameters in wind power prediction  

E-Print Network [OSTI]

Automatic selection of tuning parameters in wind power prediction Lasse Engbo Christiansen (lec Report number: IMM-Technical Report-2007-12 Project title: Intelligent wind power prediction systems PSO The wind power forecasting system developed at DTU - the Wind Power Prediction Tool (WPPT) - predicts

289

Phase Multistability in Coupled Oscillator Systems  

Science Journals Connector (OSTI)

......Introduction to the Theory of Neural Computation...The Handbook of Brain Theory and Neural Networks...more subharmonics of the basic frequency can be distinguished...is ) E-mail: olga@fysik.dtu.dk 148 E. Mosekilde...mismatch between the basic frequencies, and Postnov......

E. Mosekilde; D. E. Postnov; O. V. Sosnovtseva

2003-02-01T23:59:59.000Z

290

Using MATLAB to solve differential equations numerically  

E-Print Network [OSTI]

Using MATLAB to solve differential equations numerically Morten Brøns Department of Mathematics of the programming language MATLAB. We will focus on practical matters and readers interested in numerical analysis as a mathematical subject should look elsewhere. In the G-databar at DTU, MATLAB can be accessed either by typing ?

Klein, David

291

Charles University, Faculty of Mathematics and Physics  

E-Print Network [OSTI]

Laboratory for Sustainable Energy, Technical University of Denmark - DTU Building 228, P.O. Box 49 DK-4000DXRD: new insights and new challenges Wolfgang Pantleon Materials Research Department, Risø National. The sharpness of the peaks in all directions of reciprocal space and their integrated intensity allows

292

Final Report for snf Project no. 9502830 Networks and Paradigms for the Next Generation of Distributed  

E-Print Network [OSTI]

, Aalborg University, and Copenhagen Business School. The grant has provided support for a number x Birger Andersen x $ z Department of Computer Science, University of Copenhagen, diku y Department of Information Technology, Technical University of Denmark, dtu -- Basic Research in Computer Science, Univerity

Nielsen, Brian

293

Ris-PhD-Report Production, Characterization and Stability of  

E-Print Network [OSTI]

Risø-PhD-Report Production, Characterization and Stability of Organic Solar Cell Devices PhD Thesis Suren Ashot Gevorgyan #12;#12;RIS? DTU Production, Characterization and Stability of Polymer Solar Cell #12;Author: Suren Ashot Gevorgyan Title: Production, Characterization and Stability of Organic Solar

294

RISNEWS DECEMBER2007NO Global climate and energy challenges can be solved  

E-Print Network [OSTI]

laboratory for sustainable energy, Risø DTU is ready to contribute to solving the problems ­ which also ...........................................................11 Magnetic cooling provides energy savings and environmental improvements .............12 Solar cellRIS?NEWSNO 22007PAGE1 RIS?NEWS DECEMBER2007NO 2 Global climate and energy challenges can be solved

295

Modeling of activation data in the BrainMap TM database: Detection of outliers  

E-Print Network [OSTI]

Modeling of activation data in the BrainMap TM database: Detection of outliers Finn š Arup Nielsen@imm.dtu.dk 1 #12; ABSTRACT We describe a system for meta­analytical modeling of activation foci from functional neuroimaging studies. Our main vehicle is a set of density models in Talairach space capturing the distribution

Nielsen, Finn ?rup

296

User Experience in Medical Search Engines  

E-Print Network [OSTI]

User Experience in Medical Search Engines Róbert Andri Kristjánsson Kongens Lyngby 2014 IMM.imm.dtu.dk IMM-MSc-2014-???? #12;Summary (English) FindZebra.com is a specialized search engine for rare diseases that has been de- veloped to as an improvement to standard search engines. FindZebra.com has been shown

297

Real-time Detection of Parametric Roll  

E-Print Network [OSTI]

Early Detection of PArametric ROLL on Ships #12;Real-time Detection of Parametric Roll: FullReal-time Detection of Parametric Roll: Full-scale Validation Roberto Galeazzi Assistant Professor-time Detection of Parametric Roll: Full-scale validation CeSOS Highlights & AMOS Visions Conference 2 DTU

Nørvåg, Kjetil

298

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

299

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

300

Ris Energy Report 6 Energy challenges 3 Energy challenges  

E-Print Network [OSTI]

Risø Energy Report 6 Energy challenges 3 Energy challenges POUL ERIk MORTHORsT, RIsø DTU; JøRgEN HENNINgsEN, FORMER PRINCIPAL ADVIsER, Dg FOR ENERgY AND TRANsPORT, EUROPEAN COMMIssION 3.1 Danish and European energy challenges The European Community faces three major energy challenges [1]: · Sustainability

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

Human Tissue Kallikreins: Physiologic Roles and Applications in Cancer  

Science Journals Connector (OSTI)

...Center for Biological Sequence Analysis website ( http://www.cbs.dtu.dk ) indicate...sensitivity and specificity and, thus, the search for more informative markers continues...Anisowicz A, Sotiropoulou G, Stenman G, Mok SC, Sager R. A novel protease homolog differentially...

Carla A. Borgoo; Iacovos P. Michael; and Eleftherios P. Diamandis

2004-05-01T23:59:59.000Z

302

Self-oscillating modulators for direct energy conversion audio power amplifiers  

E-Print Network [OSTI]

Self-oscillating modulators for direct energy conversion audio power amplifiers Petar Ljusev1, Denmark Correspondence should be addressed to Petar Ljusev (pl@oersted.dtu.dk) ABSTRACT Direct energy conversion audio power amplifier represents total integration of switching-mode power supply and Class D

303

Tutorial Counting and Tracking -Useful Examples from Digital Image Processing  

E-Print Network [OSTI]

Jakob Søndergaard Jensen, DTU, Lyngby 45 15 16 -17 Optimal Reactor Concepts for Plantwide Process -17 Quo Vadis EAM 30 00 17 -19 Dinner 00 45 19 -19 Multi-scale Optimization for Integrated Design 30 00 15 -16 Coffee Break Focal Topic IV Optimization of Periodic Structures Carolin Körner, E

Sanderson, Yasmine

304

Optimal Homogenization of Perfusion Flows in Microfluidic Bio-Reactors: A Numerical Study  

E-Print Network [OSTI]

Optimal Homogenization of Perfusion Flows in Microfluidic Bio-Reactors: A Numerical Study Fridolin of Denmark, DTU Nanotech, Kongens Lyngby, Denmark Abstract In recent years, the interest in small-scale bio-reactors microfluidic bio-reactors, we develop a general design of a continually feed bio- reactor with uniform

305

(HCMP) PE 2 HCMP 1 16.3  

E-Print Network [OSTI]

a heterogeneous chip multi-processor (HCMP) that possesses different types of processing elements (PEs processing, with low operating frequency supplied, which results in lower power consumption. In this paper Assignment statements ) (MT) MT MT MT (MTG) MTG MT PE 3.2. PE PE Chip CPU0 CPU DTU

Kasahara, Hironori

306

Spatial confinement of ultrasonic force fields in microfluidic channels Otto Manneberg a  

E-Print Network [OSTI]

wave (USW) manipulation technology in microfluidic chips has recently emerged as a powerful tool for, e Stockholm, Sweden b Department of Micro- and Nanotechnology, Technical University of Denmark, DTU Nanotech have previously shown that it is possible to generate independent standing wave fields in different

307

Sensitivity Study of a Semi-automatic Supervised Classifier Applied to Minerals from X-Ray Mapping Images  

E-Print Network [OSTI]

Lyngby, Denmark aa@imm.dtu.dk Harald Flesche Norsk Hydro Research Centre N-5020 Bergen, Norway Harald.Flesche@nho.hydro to a small area in order to allow for the estimation of a variance-covariance matrix. This expansion is presently used as a routine petrographi- cal analysis method at Norsk Hydro Research Cen- tre. 1

308

Comparison of Model Prediction With Measurements of Galactic Background Noise at L-Band  

E-Print Network [OSTI]

and ocean salinity that are needed for understanding the hydrological cycle, ocean circu- lation, and energy such as soil moisture and sea surface salinity that are needed to un- derstand the hydrological cycle and ocean University of Denmark (DTU). The objective is to validate the database (e.g., the procedure for converting

Boyer, Edmond

309

e-Assessment of Workplace Health & Safety  

E-Print Network [OSTI]

.imm.dtu.dk #12;Summary Danish companies with employees are obligated to assess the health and safety environment Java Beans which makes it a very powerful platform for large web and enterprise applications Faces this makes a powerful runtime platform. Part 2 describes Extreme Programming which is a relatively

310

Mogens Blanke Adjunct Professor at Centre for Ships and Ocean Structures, NTNU, Norway  

E-Print Network [OSTI]

Mogens Blanke Adjunct Professor at Centre for Ships and Ocean Structures, NTNU, Norway Professor;DTU, Denmark & CeSOS, NTNU, Norway Position Mooring ­ essential in offshore Mooring lines provide energy-free positioning They are anchored to the bottom (200-1500 m) Buoys are attached along mooring

Nørvåg, Kjetil

311

Laser Induced Nuclear Fusion, LINF, In Muonic Molecules With Ultrashort Super Intense Laser Fields  

Science Journals Connector (OSTI)

Muonium molecules where muons replace electrons increase the stability of molecules to ionization at superhigh intensities I >10 20 ? W / cm 2 . We show furthermore from numerical simulations that in the nonsymmetric series pdu dtu ptu the permanent dipole moments can be used to enhance LINF Laser Induced Nuclear Fusion by laser induced recollision of the light nucleus with the heavier nucleus.

Andre D. Bandrauk; Gennady K. Paramonov

2010-01-01T23:59:59.000Z

312

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)

313

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

314

High Frequency Microphone Measurements for Transition Detection  

E-Print Network [OSTI]

: Aeroelastic Design - Wind Energy Department Abstract: ISSN 0106-2840 This report is an appendix to [1.risoe.dk #12;Contents List of symbols 4 1 Introduction 4 2 Table of data 5 3 Table of XFoil data 6 4 Suction spectrum of Y [Pa] f1, f2 High and lower bound of filtered [Hz] µn Statistical moments of Ps of order n

315

Renewable Energy Markets and Policies  

E-Print Network [OSTI]

Renewable Energy Markets and Policies Romeo Pacudan, PhD Risoe National Laboratory, Denmark HAPUA.2 % Bioenergy 3.5 % 3.0 % 1.6 % Hydro 2.6 % 0.7 % 0.4 % Geothermal 8.3 % 9.4 % 0.4 % Wind/Solar 6.4 % 23.5 % 23$1100-2000/kW Policies · RD&D · RD&D investments prior to rapid market growth · Denmark, Germany, US

316

Ris National Laboratory Systems Analysis Department  

E-Print Network [OSTI]

.risoe.dk/rispubl/art/2007_76.pdf Value of electric heat boilers and heat pumps for wind power integration Meibom, P.doi.org/10.1002/we.224 #12;1 Value of electric heat boilers and heat pumps for wind power integration 3HWHU 0: European Commission; Contract number: ENK5-CT-2002-00663. .H\\ZRUGV wind power, system integration, heat

317

Laser Induced Nuclear Fusion, LINF, In Muonic Molecules With Ultrashort Super Intense Laser Fields  

SciTech Connect (OSTI)

Muonium molecules where muons replace electrons increase the stability of molecules to ionization at superhigh intensities, I>10{sup 20} W/cm{sup 2}. We show furthermore from numerical simulations that in the nonsymmetric series, pdu, dtu, ptu, the permanent dipole moments can be used to enhance LINF, Laser Induced Nuclear Fusion by laser induced recollision of the light nucleus with the heavier nucleus.

Bandrauk, Andre D. [Faculte des sciences, Universite de Sherbrooke, Quebec, J1K 2R1 (Canada); Paramonov, Gennady K. [Institut fur Chemie, FU Berlin-14195 Berlin (Germany)

2010-02-02T23:59:59.000Z

318

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

319

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)

320

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

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

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

322

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)

323

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)

324

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

325

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

326

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)

327

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

328

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

329

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

330

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

331

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

332

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

333

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

334

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

335

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

336

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

337

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

338

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

339

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

340

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

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

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

342

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

343

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

344

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

345

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)

346

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)

347

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

348

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)

349

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

350

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

351

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)

352

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

353

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

354

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

355

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

356

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

357

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)

358

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

359

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

360

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

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

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

362

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

363

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)

364

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)

365

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

366

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

367

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

368

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

369

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

370

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

371

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

372

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)

373

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)

374

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)

375

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

376

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

377

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)

378

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)

379

NREL: Energy Analysis - News Archive 2004  

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

380

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

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

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

382

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

383

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

384

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

385

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)

386

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)

387

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)

388

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

389

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

390

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)

391

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

392

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

393

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

394

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

395

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

396

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

397

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

398

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

399

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

400

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)

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.


401

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)

402

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

403

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

404

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

405

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)

406

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

407

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)

408

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)

409

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

410

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)

411

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

412

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

413

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

414

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

415

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

416

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)

417

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

418

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

419

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

420

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

Note: This page contains sample records for the topic "riso dtu swera" from the National Library of EnergyBeta (NLEBeta).
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421

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

422

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

423

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)

424

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)

425

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)

426

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)

427

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

428

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)

429

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

430

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)

431

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)

432

Geology of the Hilda-Northwest Area, Mason County, Texas  

E-Print Network [OSTI]

the Paleozoic age cf thr ocks immediately overly1ng the granite. B. F. Shum?rrd (1861) cnnfirmed I&o?srrer? s earl)? r work. H. r?iso described the fossils of the region and sade ccrrelatiorn with fossils in the Potsdam group (Upper Car brian) nf l he llew..., and have becose superimposed on, the Paleozoic end Precambrian rocks. The principal streams that, drain the eastern end western portions of the thesis area are Beaver Creek, located aiout one-fourth of a mile east of the thesis area, and Panther Creek...

Fisher, Neil E

2012-06-07T23:59:59.000Z

433

Microsoft Word - JDC Website Resume 3Feb2011.doc  

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

434

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

SciTech Connect (OSTI)

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

435

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

436

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

437

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

438

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.

439

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.

440

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

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While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
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to obtain the most current and comprehensive results.


441

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

442

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

443

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.

444

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

445

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)

446

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

447

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.

448

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

Science Journals Connector (OSTI)

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

sis Portolan dos Santos; Ricardo Rther

2014-01-01T23:59:59.000Z

449

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

450

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

451

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

452

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.

453

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

454

Diane E. Cabelli  

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

455

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"

456

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

457

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

458

J. David Carter resume  

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

459

Diane Cabelli  

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

460

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

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.


461

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

462

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

463

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

464

PROPOSED RESEARCH AGENDA FOR ACHIEVING INDOOR AIR QUALITY SUPPORTING HEALTH AND  

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

465

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.

466

The Science of Making Torque from Wind  

Science Journals Connector (OSTI)

Wind energy has for many years been the fastest developing energy source. This is most easily demonstrated by some numbers. In 2006 a total of about 7.6 GW of new wind energy capacity was installed in Europe, an increase of more than 20% over the year before. Europe's cumulative wind power capacity has now reached more than 50 GW. At the beginning of 2007, the European Commission published its new energy strategy, which recommends a 20% target for the share of renewable energy in the EU by 2020. New initiatives have also been launched in the U.S. and Asia to comply with the need for a reduction in the emissions of CO2 and to create a cleaner environment based on renewable energy. Since 1980 the average size of wind turbines has grown by a factor of 100 from 50 kW to today's 5 MW machines. This enormous increase in size would not have been possible without the involvement of well-educated engineers and scientists. Research institutions and universities have contributed significantly to this development by providing basic knowledge as well as sophisticated software and measuring campaigns. In order to comply with the fast development in wind turbine technology there is a growing need for both well-educated scientists and for a further development of sophisticated predictive tools. For many years progress in technology development was presented at the European Wind Energy Conference (EWEC) conference organized by the European Wind Energy Association (EWEA). Because of the maturity of the industry and the many important topics involved in the continued development of wind power, the relative share of the technical and scientific sessions at EWEC has decreased dramatically. Hence it was desirable to find an alternative forum for the exchange of ideas and techniques within more specialized topics. As a consequence the European Academy of Wind Energy (EAWE) was created in 2003 in order to support education and research. It is the intention of this special topics conference to bring together scientists and engineers working in the fields of aerodynamics, aeroelasticity, aeroacoustics, aeroelastic control, wind conditions and wind farms. The first conference entitled `The Science of making Torque from Wind' was organized by DUWIND and held at Delft University, 19-21 April 2004. Owing to the great success of this conference where more than 60 papers were presented, we decided to follow it with a similar conference at the Technical University of Denmark (DTU) in Lyngby. It is our hope that others will take up the idea and continue this series of conferences. An explicit objective of the conference is to meet the high standards applied in several other branches of science and technology. The EAWE has the responsibility for the scientific quality of the content. All papers presented at the conference have had an abstract review as well as a full paper review by at least two reviewers. Out of the approximately 120 submitted abstracts, 86 papers were finally approved to be presented at the conference. It is expected that many of the papers will subsequently be published in scientific journals. Toward that end, the editors of Wind Energy and Journal of Solar Energy Engineering have expressed their interest in letting the most promising papers be subjected to a second review, for the purpose of having them published as journal papers. The EWEA staff is thanked for organizing the PR on the conference and the EAWE board members for valuable help in the reviewing process and for delivering session chairmen. Staff members at the Department of Mechanical Engineering at DTU and Ris were responsible for the organization. Special thanks go to DTU for providing lecture and meeting rooms, and to LM Glasfiber, Vestas Wind Systems and Siemens Wind Power for financial support. Jens Nrkr Srensen, Conference Chairman 21 June 2007

Jens N Srensen; Martin O L Hansen; Kurt S Hansen

2007-01-01T23:59:59.000Z

467

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":""}]}

468

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

469

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

470

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":""}]}

471

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.

472

Price Differences in a Durable Products Secondary Market: A Hedonic Price Analysis  

E-Print Network [OSTI]

IrJRoFtino&GIryNiso88mmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmBB LNNN PRICE DFN NSEDAUBPENAS A Disertaonby eRoebtrOL oNiieyoJrtH FyoUrM oO soSt Ib sFLaoyFbeu eoOry eoiso FU utomiF sFurLo SS DFyoisoJrtH Fomid torseomtuD oeuyDtuJusrFuisousoFU omtuJrtaoJrtH Fo n h...DrmuFrLoitoF DUsuDrLo .m tFuy odU soDiJmrt eoFios doDrtoe rL tyh kUuL oJrsaorFFtuObF yoiSoby eoebtrOL oJrtH FyYousDLbeusNoFU oby eoDrtoJrtH FYo yFuLLo .uyFoFieraYoFU ousF ts Foy JyoFioUrM oO NbsoFioDUrsN oFU oJrtH FoLrseyDrm hooAuF yo ybDUoryodddh Brah...

Fumasi, Roland J

2013-07-22T23:59:59.000Z

473

Wind Speed Estimation and Parametrization of Wake Models for Downregulated Offshore Wind Farms within the scope of PossPOW Project  

Science Journals Connector (OSTI)

With increasing installed capacity, wind farms are requested to downregulate more frequently, especially in the offshore environment. Determination and verification of possible (or available) power of downregulated offshore wind farms are the aims of the PossPOW project (see PossPOW.dtu.dk). Two main challenges encountered in the project so far are the estimation of wind speed and the recreation of the flow inside the downregulated wind farm as if it is operating ideally. The rotor effective wind speed was estimated using power, pitch angle and rotational speed as inputs combined with a generic Cp model. The results have been compared with Horns Rev-I dataset and NREL 5MW simulations under both downregulation and normal operation states. For the real-time flow recreation, the GCLarsen single wake model was re-calibrated using a 1-s dataset from Horns Rev and tested for the downregulated period. The re-calibrated model has to be further parametrized to include dynamic effects such as wind direction variability and meandering also considering different averaging time scales before implemented in full scale wind farms.

Tuhfe Gmen Bozkurt; Gregor Giebel; Niels Kjlstad Poulsen; Mahmood Mirzaei

2014-01-01T23:59:59.000Z

474

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.

475

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.

476

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.

477

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.

478

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.

479

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.

480

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.

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481

Wind energy  

Science Journals Connector (OSTI)

Wind energy is rapidly growing. In 2006 the installed generating capacity in the world increased by 25%, a growth rate which has more or less been sustained during the last decade. And there is no reason to believe that this growth will slow significantly in the coming years. For example, the United Kingdom's goal for installed wind turbines by 2020 is 33GW up from 2GW in 2006, an average annual growth rate of 22% over that period. More than half of all turbines are installed in Europe, but United States, India and lately China are also rapidly growing markets. The cradle of modern wind energy was set by innovative blacksmiths in rural Denmark. Now the wind provides more than 20% of the electrical power in Denmark, the industry has professionalized and has close ties with public research at universities. This focus issue is concerned with research in wind energy. The main purposes of research in wind energy are to: decrease the cost of power generated by the wind; increase the reliability and predictability of the energy source; investigate and reduce the adverse environmental impact of massive deployment of wind turbines; build research based educations for wind energy engineers. This focus issue contains contributions from several fields of research. Decreased costs cover a very wide range of activities from aerodynamics of the wind turbine blades, optimal site selection for the turbines, optimization of the electrical grid and power market for a fluctuating source, more efficient electrical generators and gears, and new materials and production techniques for turbine manufacturing. The United Kingdom recently started the construction of the London Array, a 1GW off-shore wind farm east of London consisting of several hundred turbines. To design such a farm optimally it is necessary to understand the chaotic and very turbulent flow downwind from a turbine, which decreases the power production and increases the mechanical loads on other nearby turbines. Also addressed within the issue is how much conventional power production can be replaced by the ceaseless wind, with the question of how Greece's target of 29% renewables by 2020 is to be met efficiently. Other topics include an innovative way to determine the power curve of a turbine experimentally more accurately, the use of fluid dynamics tools to investigate the implications of placing vortex generators on wind turbine blades (thereby possibly improving their efficiency) and a study of the perception of wind turbine noise. It turns out that a small but significant fraction of wind turbine neighbours feel that turbine generated noise impairs their ability to rest. The annoyance is correlated with a negative attitude towards the visual impact on the landscape, but what is cause and effect is too early to say. As mentioned there is a rush for wind turbines in many countries. However, this positive development for the global climate is currently limited by practical barriers. One bottleneck is the difficulties for the sub-suppliers of gears and other parts to meet the demand. Another is the difficulties to meet the demand for engineers specialized in wind. For that reason the Technical University of Denmark (DTU) recently launched the world's first Wind Energy Masters Program. Here and elsewhere in the world of wind education and research we should really speed up now, as our chances of contributing to emission free energy production and a healthier global climate have never been better. Focus on Wind Energy Contents The articles below represent the first accepted contributions and further additions will appear in the near future. Wind turbineslow level noise sources interfering with restoration? EjaPedersen andKerstin PerssonWaye On the effect of spatial dispersion of wind power plants on the wind energy capacity credit in Greece GeorgeCaralis, YiannisPerivolaris, KonstantinosRados andArthourosZervos Large-eddy simulation of spectral coherence in a wind turbine wake AJimenez, ACrespo, EMigoya andJGarcia How to improve the estimation of

Jakob Mann; Jens Nrkr Srensen; Poul-Erik Morthorst

2008-01-01T23:59:59.000Z