• Ingen resultater fundet

Input variables

In document S hai de (Sider 67-72)

All the remaining variables in the analysis are input variables. The use of

these variables will make it possible to predit the module temperature. The

analyseswillhelptoidentifytheinuenefromdierentvariablesonthemodule

temperature.

7.4.1 The ambient temperature

Itisobviousthattheambienttemperaturehasaninueneontheperformane

of thePV module,sinethewhole frontareaofthe module isin ontatwith

the ambient temperature. In Figure 7.4 the temperature measurements are

shown. Likethepastvariablesthereisalear24hoursperiodiity. Theambient

temperaturehasalowvariation omparedto themeasuredwind speedshown

in Figure7.7. Aroundnoonthelargestutuationsare found.

Theambientairtemperatureismeasuredbyusingaventilateddoubleshielded

PT100sensorItisonstrutedin suhawaythatthetemperatureismeasured

inside the equipment. This implies that the temperature is not aeted by

0 500 1000 1500 2000 2500 3000 3500 4000 4500 16

18 20 22 24 26 28 30 32 34

Time [min]

Temperature [ ° C]

Inlet temperature Outlet temperatur

Figure7.5: Plotoftheinletandoutlettemperature

7.4.1.1 The temperature of theair ow behind the module

BetweenthePVmoduleandtheopaquewoodenboardisamehaniallydriven

airow. Thisentailsthat theowanbeontrolledand measuredaurately,

sine it is possible to get a onstant ow in ontrast to naturally ventilated

systems. Theairowanbesetatfourdierentonstantveloitylevels. Figure

7.5showsthetwotemperatures,thein-andoutlet temperatures,onwhihthe

alulationof

∆T

isbased. Inthedata set both aalulatedandameasured

∆T

isavailable.Thetwovariablesareplotted inFigure7.6.

TomeasuretheairowaSwemair300instrumentisapplied.

TheairowbehindthePVmoduleoolsdownthemodule. Thethermalsystem

andtherebytheeletrialsystemofthePV modulebeomesmoreeientthe

highertheforedairowbeomes[Gandiniet al.n.d.℄.

7.4.1.2 The measurementof the wind speed

InFigure7.7aplotofthemeasuredwindspeedanbeseen. Thegurereveals

that the wind onditions at the siteutuate. A movingaverage wind speed

withmeasurementintervalsof20minutesispresent. Thereasonwhythis

trans-formationofthewindspeedistakenintoonsiderationisthatthePVmodule,

in theory, mightbemoreinuenedbythe moreonstant wind onditions. A

0 500 1000 1500 2000 2500 3000 3500 4000 4500

−1 0 1 2 3 4 5

Time [min]

Temperature [ ° C]

∆T measured

∆T calculated

Figure7.6: Plotofthetemperaturesoftheventilatedairgapbehindthemodule

An anemometer has been used to measure the wind speed. The anemometer

wasplaed on the roof of the pent just above the module. When measuring

wind it is important to plae the equipment lose to the site, sine the wind

onditionsutuateovershortdistanes.

OnemajorproblematinatureofthetestsiteisthatthewindinIspraisrather

limited. Thewindspeedisseldomabove2m/s. Thisanbealimitationofthe

sopeofthemodels.

7.4.1.3 The irradiane on the PVmodule

Themostimportantvariablewhen dealingwith PVmodulesistheirradiane.

The irradiationis representedin the data setin twoversions. A pyranometer

is applied to ollet theirradiane data. The pyranometer isplaed about20

entimetresfromthemodule. Thereisariskthatasystematierrorisattahed

tothismeasurement. Thepyranometerisplaedonawoodenpillaratahinge.

If the srewsare not fastenedproperly, a twist of theequipmentmay leadto

an inorretlymeasuredirradiane ompared to theirradiane of themodule.

Amorepreisewayto desribetheirradianeisbyalulation,sinetheshort

iruiturrent,

I sc

,ofthemoduleoverawiderangeisproportionaltothesolar radiation. In the models both measures are applied in order to nd the best

desribingvariable. InFigure 7.8thetwovariablesareplotted.

0 500 1000 1500 2000 2500 3000 3500 4000 4500 0

0.5 1 1.5 2 2.5 3 3.5

Time [min]

Wind [m/s]

Measured wind speed Moving average wind speed Lowpass filtered wind speed

Figure7.7: Plotofthemeasuredwindspeed,aalulatedmovingaverage

ver-sionofthewindandalowpassltrationofwindspeed

0 500 1000 1500 2000 2500 3000 3500 4000 4500

−100 0 100 200 300 400 500 600 700

Time [min]

Irradiance [W/m 2 ]

Measured irradiance Calculated irradiance

Figure7.8: Themeasuredandalulatedirradianeofthemodule

Single State Models

-Model identiation

8.1 Thermal models

Thepurposeofthishapteristoidentifythebestmodelto preditthemodule

temperature. All themodelsareonstrutedinaordanewiththethreeheat

transfer priniples deribed in Setion 2.4. Introdutorilyadesription of the

modelsisoutlined. All themodelsin thishapter areestimatedbothfora

24-hourperiod,the16thofAugust2002, andforthethree-dayperiod,16-18thof

August 2002. Thisoers abasisforomparing theinuene ofthenumberof

observationsontheresiduals,theunertaintiesofthemodelandtheparameter

estimates. Inthesearh forasatisfatorymodelseveraldierentmodels,both

linearandnon-linear,havebeenestimatedandtested. Subsequentlytheresults

ofthemodelswillbeanalysedandomparedinordertodeterminewhihmodel

ormodels will suit the data thebest. The best model will also be applied in

someofthefollowinghapters.

The models applied in this hapter is developed in onnetion to the artile

In document S hai de (Sider 67-72)