mesor management and exploitation of solar resource knowledge · unifying access to solar resource...

Management and Exploitation of Solar Resource Knowledge > Carsten Hoyer-Klick > EUROSUN2008 > 2008-10-09

MESoR Management and Exploitation of Solar Resource Knowledge

Carsten Hoyer-KlickGerman Aerospace Center, Institute of Technical Thermodynamics


Slide 2

Why MESoR ?

Many sources for solar resource knowledge are availableEvery source has its own access mechanism and data formatQuality of the sources is often not well knownResults are difficult to compare

Sal

aman

ca

Sev

illa

Cor

doba

Mur

cia

Gra

nada

Alm

eria

Mal

aga

Cad

iz

Pun

ta U

mbr

ia

Hue

lva

4000

4200

4400

4600

4800

5000

5200

5400

5600

PV-GIS Helio-Clim 2004 Helio-Clim1996-2000

Satel-light

Wh/

m2/

day

There is quite a number of data sources, but this creates uncertainty of the results, especially if they do not agree


Slide 3

Project Objectives

GuidingBenchmarking of solar radiation ProductsGuide of best practice in using solar resource knowledgeRoadmap for future research and services

UnifyingUnifying access to solar resource dataBroker portal as one stop shop

ConnectingConnecting to other Initiatives and scientific communities

DisseminationStakeholder involvement through surveys and workshopsEducation and Training


Slide 4

Guiding: Benchmarking

Collection of a reference data set of high quality ground measurements

Baseline Surface Radiation Network (BSRN)International Daylight Measurement Programme (IDMP)Global Atmospheric Watch (GAW)Other high quality measurements

Common procedure for quality control of the ground data

Common set of benchmarking measures and rules


Slide 5

Benchmarking of Time Series Products

First order measures: Bias, root mean square error, standard deviation

Sometime this match is not necessary (e.g. system layout with historical data)

Second order measures:Based on Kolmogrov-Smirnov Test


Slide 6

Sample Benchmarking: SOLEMI

GHI av DNI av[W/m²] [W/m²]

Camborne (BSRN, 2001-2003) 238.5 10815 0.95 -1.01% 29.77% 0 262.5 7655 0.83 -0.52% 60.98% 0Carpentras (BSRN, 2000) 345.8 5618 0.98 2.82% 18.55% 0 482.4 4779 0.9 2.66% 31.41% 0DeAar (BSRN, 2001-2003) 501.5 9168 0.97 3.44% 16.76% 0 673.9 8469 0.9 0.89% 23.80% 0Geneva (IDMP, 2002-2003) 309.9 6560 0.95 7.74% 29.37% 0 372.9 5384 0.84 7.52% 52.58% 0Lerwick (BSRN, 2001-2003) 174.1 12112 0.93 -1.72% 38.64% 0 187.2 7082 0.68 -9.43% 92.72% 0Payerne (BSRN, 2000-2003) 383.6 11139 0.96 0.66% 18.84% 0 428.3 9886 0.87 -3.33% 36.88% 0SedeBoqer (BSRN, 2003 - 2005) 561.5 10048 0.98 4.64% 12.96% 0 607.2 9934 0.78 -2.50% 30.37% 0SolarVillage (BSRN, 2000 - 2002) 574 11640 0.98 -0.02% 10.84% 0 578.1 11418 0.81 -0.37% 31.09% 0all 387.3 77100 0.97 1.93% 18.79% 0 467.8 64607 0.87 -0.73% 36.83% 0

Bias% RMSD% KSI%RMSD% KSI% nov R2Station nov R2 Bias%

Time scale RMSD GHI % R2 RMSD DNI % R2

hour 18.79% 0.97 36.83% 0.87day 11.08% 0.99 23.58% 0.95month 4.95% 0.99 9.69% 0.99year 3.66% 0.99 4.92% 0.99

Similar tables will be presented in the tabs of the portal


Slide 7

Benchmarking of Maps

Assessment of the uncertainty of map based products by comparing a number of maps

Average solar radiation from different maps

Uncertainty at 95% confidence interval


Slide 8

User Guide of Best Practices

Best Practice Examples on how solar resource data is used

Case studies for PhotovoltaicsSolar HeatingDaylightingConcentrating Solar ThermalSolar forecasting


Slide 9

Development of a Roadmap

We would like to know more about what is needed in solar resources:

Which products need improvement?

Which services need improvement?

Which new products would you like to see?

Which new services would you like to see?

Which new observation instruments do we need (ground and space based) ?

Please enter your ideas in the questionnaire


Slide 10

Unifying Access

Lessons learned from SoDa:General portal is beneficial for solar energy usersSoDa used proprietary software and communication standardsHigh maintenance efforts in operating the portal

New approach in MESoR:Open source software portal with large development community Internet standard communication protocolsGoogle Maps API for ease of useThe portal is a broker for data bases located elsewhere, it does not store and offer data itselfConnexion with larger intiative (GEO/GEOSS - IEA-Task36 SHC)


Slide 11

Prototype Architecture

http://project.mesor.net

http://www.webservice-energy.org/Solemi?wsdl?

Local or remote server

https://www1.meteocontrol.de/wtp/ws/mesor/wetterdaten.php?wsdl

http://80.243.214.42:8080/SM_test_global_radiation_5a/SMtest5a?wsdl


Slide 12

Prototype Architecture - sections



Local or remote server




Slide 13

Prototype Architecture - DataLocal or rem

ote server


Slide 14

Prototype Architecture - Data

Stored and operated at the data provider premise (Distributed env.)Files, databases, data-sets, program, URL…Data or resources are platform and language agnosticAny resource can be triggered by Web Services


Slide 15

Prototype Architecture – Web Services





Slide 16

Prototype Architecture – Web Services

A standard mean to expose and consume local or remote dataProviders keep the overall control of the WSWritten in Java but other languages are possible (PHP, Python...)Should be deployed on a WS compliant platform (Community Portal)Contains executable that trigger the data accessExpose a WSDL file as a bridge to interoperabilityWSDL file expose location, input/output types and operations of the Web Service


Slide 17

Prototype Architecture – Community Portalwww.webservice-energy.org

HelioClim 3W3C WSDL Web Service

Description & endpointHelioclim 3 ISO 19119 INSPIRE Metadata

Hosts and advertises WSAllows « clients » to consume WSCreated INSPIRE Metadata (ISO 19119) for WS Harvested by crawlers (GEOSS) for catalogue

search & discovery

Address GEOSS Interoperability best practicesDescribe our resourcesResources to be searched, find and discovered

by the GEOSS Community.

Offer to advertise partners WSOffer to create Metadata to allow WS registration


Slide 18

Prototype Architecture – Community Portal

Query for « HelioClim » Helioclim 3 Metadata details

Result sample from the ESRI GEOSS candidate portal


Slide 19

Prototype Architecture – Portal – Invoker / Client



Slide 20

The new MESoR Portal

Selection of data sources

Site selection

• Information about the data source• Results display

• Service dedicated forms• Output to various formats• Computation launch


Slide 21


Site selection

Google Map API

• Ease of use• No learning curve• De facto Standard


Slide 22


Forms section

• Forms tailored for each applications

• Handle various output formats• Tabular in browsers• Excel Spreadsheet• PDF• CSV


Slide 23


• Tabs handle Service’s information• Build with AJAX (Asynchronous)

• Result tab handle the selected output formats

• Tabular in browsers• Excel Spreadsheet• PDF• CSV


Slide 24


Tabular results output in browser


Slide 25


Excel file output sample


Slide 26


Excel file output result


Slide 27

Why this User-Workshop ?

You are the users of the work we do, so we would like to know your opinion

The tools we develop should make your life easier

We need to know your needs and suggestions for improvement

So please test and fill in the questionnaire, in the end it is for your benefit.

mesor management and exploitation of solar resource knowledge · unifying access to solar resource...

Documents