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ContentslistsavailableatScienceDirect

Energy & Buildings

journalhomepage:www.elsevier.com/locate/enbuild

Thermal performance and numerical simulation of geopolymer

concrete containing different types of thermoregulating materials for passive building applications

Vinh Duy Cao

a,b

, Shima Pilehvar

a,c

, Carlos Salas-Bringas

b

, Anna M. Szczotok

a,d

, Tri Quang Bui

a

, Manuel Carmona

d

, Juan F. Rodriguez

d

, Anna-Lena Kjøniksen

a,

aFaculty of Engineering, Østfold University College, Halden N-1757, Norway

bFaculty of Science and Technology, Norwegian University of Life Sciences, As N-1432, Norway ˚

cDepartment of Material Engineering and Manufacturing, Technical University of Cartagena, Cartagena, Murcia, Spain

dDepartment of Chemical Engineering, University of Castilla – La Mancha, Ciudad Real 13004, Spain

a rt i c l e i nf o

Article history:

Received 6 December 2017 Revised 26 February 2018 Accepted 7 June 2018 Available online 20 June 2018 Keywords:

Microencapsulated phase change materials Geopolymer concrete

Thermal performance Implicit method Finite differences

a b s t ra c t

Geopolymerconcrete (GPC)containingmicroencapsulated phasechangematerials (MPCM)werefabri- catedinordertoachieveahighthermalenergystoragecapacityofanenvironmentalfriendlyconcrete.

DifferentkindsofMPCMwereutilizedtoinvestigatetheinfluenceofthehygroscopicnature,latentheat, andsizeofmicrocapsulesonthemicrostructureandthermalpropertiesofGPC.Acombinationofpolar functionalgroupsonthepolymershellandmicrocapsuleswithasmallsizewasfoundtoimprovethe interfacebondsbetweenmicrocapsulesandtheGPCmatrix,howwelltheMPCMisdispersedintheGPC, andthethermalinsulationpropertiesoftheGPC.TheenergystoragecapacityofGPCincreasesathigher concentrationsofMPCMandwithahigherlatentheatoftheMPCM.Todeterminethethermalimpact ofbuildingsutilizingGPCcontainingMPCM,anumericalmodelwasutilized.Themodelisbasedonthe implicit finitedifferencesmethodusinganenergybalanceapproachand theheatcapacitymethod.In ordertoimprove themodel,anewequationwas successfullyutilizedtofitthespecificheatcapacity ofGPCcontainingMPCMasfunctionoftemperature.Thenumericalmodelwasverifiedbyexperimen- talmeasurementsofthethermalperformanceoftheGPC.Thesimulatednumericalvaluesobtainedfor GPCcontainingMPCMwereingoodagreementwiththeexperimentaldata.HigheramountsofMPCM andthickerconcretewallsreducethepowerconsumptionneededtomaintainanindoortemperatureof 23°C.Apowerreductionofnearly35%wasachievedwhenutilizinga75mmconcretewallcontaining 5.2wt.%MPCM.Thesebuildingmaterialsarethereforepromisingforimprovinghumancomfortandfor reducingtheenergyconsumptionofbuildings.

© 2018TheAuthors.PublishedbyElsevierB.V.

ThisisanopenaccessarticleundertheCCBY-NC-NDlicense.

(http://creativecommons.org/licenses/by-nc-nd/4.0/)

1. Introduction

A promising solution for reducing indoor temperaturefluctu- ations,maintaining thermalcomfort, andminimizing the peak of thecoolingandheatingloadsisintegration ofmicroencapsulated phase change materials (MPCM) in building materials. This will enhance theheat storage capacityduring thephase transition of thephase change materials and reduce the thermal conductivity ofthebuildingmaterials. Portlandcement concreteisamongthe best known materials for integration of MPCM due to the high

Corresponding author.

E-mail address: [email protected] (A.-L. Kjøniksen).

mechanical strength and the possibility of changing the proper- tiesbyvaryingtheconcreterecipe[1–9].However,themaindraw- back of producing Portland cement is the CO2 emission, which contributesto about 5–8% ofthe total CO2 emissions, andis the third man-made CO2 source after transport and energy genera- tion [10]. Accordingly, it is advantageous to use green materials to partly replace Portland cement concrete. Geopolymer synthe- sizedbyalkaliactivationofaluminosilicatematerialsinamorphous form (from industrial waste) is environmentally friendly [11,12]. Replacing Portland cement by geopolymer as the main concrete bindercansignificantlyreducetheCO2 emissionfromthecement industry.Althoughgeopolymerconcretecontainingmicroencapsu- latedphasechangematerialsisveryinteresting,researchregarding https://doi.org/10.1016/j.enbuild.2018.06.011

0378-7788/© 2018 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license. ( http://creativecommons.org/licenses/by-nc-nd/4.0/ )

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Table 1

The fundamental data of the microencapsulated phase change materials.

MPCM name Hygroscopic nature of shell Size (μm) T melt( °C) ࢞H(J/g) Core/Shell ratio Ref

Single Aggregates (mean size)

PS-DVB/RT27 nonpolar groups 10–100 130 24.9 100 11:9 [25]

MF/PCM24 polar groups 10–30 21 21.9 154 9:1 [26]

thesematerials is limited[3,5]. Inaddition,previous publications havemainlybeeninvestigatingtheeffectofonetypeofmicrocap- sules[1–7].There areveryfew investigationscomparingdifferent typesofmicrocapsulestoexaminetheeffectofthepolarityofthe polymershell,aswellasthesizeandtheheatstoragecapacityof themicrocapsules.

It is helpful toutilize numericalmodels to estimate the ther- malimpactofgeopolymerconcretecontainingMPCMinbuildings.

Somenumericalmethodshavebeendevelopedtosimulatetheef- fect ofheat transfer during the solid–liquid phase change.These arethetemperaturetransformingmodel,theheatsourcemethod, theenthalpymethodandtheheatcapacitymethod[13–18].Oneof themostcommonlyusednumericalmethodsistheheat capacity method [16–18]. Forthismethod a good agreementbetween ex- perimentaldataandthenumerical methodsarefound. Neverthe- less, thismethoddefinesthe apparent specificheat capacityasa stepwisefunctionoftemperature,whichexhibitsadiscontinuityof thespecificheatcapacityatthestartandendofthemeltingpoint range.Thiscan produceamismatchbetweenthemodelandreal- isticconditions.Furthermore,moststudiesassume that themelt- ing peak is symmetric, anddefine Cp(T) asa piecewise function oftemperature[16,17] oraGaussianfunction oftemperature[19]. However,forconcretecontainingmicrocapsulesthisassumptionis notinagreementwiththeexperimentalcurveofCp(T),whichex- hibitanasymmetricmeltingpeak[3,20–22].

Previously, it was found that agglomeration of the microcap- sules have an important effect on the properties of geopolymer concrete[3].Accordingly,thecurrentworkutilizesmicroencapsu- latedphasechangematerialsthatdonotformlargeagglomerates.

Unlikethepreviousstudy[3],twotypesofmicrocapsuleswithdif- ferentpolymershells,heatstoragecapacityandsizeswereutilized toexploretheirinfluenceonthemicrostructureandthermalprop- erties of geopolymer concrete. In addition, a simple equation is developed toreproduce theheat capacityforGPC containingmi- croencapsulatedphasechangematerials.Thisequationwasutilized inthenumericalmodeltopredictthethermalimpactofGPCcon- tainingMPCM.Finally,asimpleexperimentalsystemwasdesigned to verifytheperformance ofthenumericalmodel.Previousstud- ies havecompared thethermalimpactbasedonnumericalcalcu- lations with experimental results for Portland cement plastering mortarscontainingMPCM[23,24].Thereishoweveralackofstud- ies where thiskindof comparisonhave beenconducted on con- cretesorgeopolymermaterialscontainingMPCM.

2. Experimental 2.1. Materials

Twodifferentkindsofmicrocapsuleswereutilized:

PS-DVB/RT27 microcapsules consists of a paraffin Rubitherm®RT27 core coated with a PS-DVB (polystyrene cross-linked with divinylbenzene) shell. These microcapsules were madebya polymerizationsuspension processinourlab [25].

CommercialMicrotekMPCM24D(MF/PCM24)whichcontainsa paraffincoreandamelamine-formaldehydepolymershell(MF).

ThepropertiesofthemicrocapsulesaresummarizedinTable1.

Table 2 summarizes the composition of geopolymer concrete containing MPCM (MPCM-GPC). The main components of the geopolymerconcrete aresand (GunnarHolth andSkoltPukkverk AS, Norway), aggregates (Gunnar Holth and Skolt Pukkverk AS, Norway),flyash(FA)(Norcem,Germany), groundgranulatedblast furnace slag (GGBFS) (Cemex, Germany), retarder (FLUBE OS 39, Bozzetto Group, Italy), an alkaline activator solution and micro- capsules.Thealkaline activatorsolution isa mixtureofa sodium silicatesolution Na2SiO3 (35wt.%solid)and14Msodium hydrox- ide NaOH (560g/L). Based on a previous study [27], the mix- ing ratio between Na2SiO3 and NaOH is 1.5 corresponding to mNa2SiO3(aq)=120g, and mNaOH(aq)=80g. MPCM was mixed into theGPC asthe finalmixingstepto minimizethe shearforceson the microcapsulesduring the mixingprocess. Formore informa- tion aboutthe recipe andthe mixingprocess, see Pilehvar etal.

[5,27].

InordertoinvestigatetheeffectofMPCMconcentrationonthe thermal properties of MPCM-GPC, The MPCM concentration was variedfrom0to5.2wt.%instepsof2.6wt.%.Aftermixing,MPCM- GPCwerecastintomoldsatasizeof200×200×25mm,andpre- curedat room temperaturefor24 h.The samples were thende- molded and kept in water at room temperature for 28 days to reachafullycuredstate.Finally,theyweregentlydriedinanoven at40°C(toavoidshrinkage,thermalcracks,andbrokenmicrocap- sules)untilthesampleweightremainedunchanged[3].

2.2.Scanningelectronmicroscopy

The fractured surfaces of MPCM-GPC samples containing 2.6wt.% of MPCM were investigated usingZeiss EVO50 EP Scan- ningelectronmicroscopy(Norway).

2.3.Densityandporosity

The density and open porosity of the concrete samples were determinedbyEN12390-7(Eq.(1))[28]andASTMC1202-12(Eq.

(2)),respectively[29,30].

ρ

= mVd (1)

OpenPorosity

(

%

)

= mmsmd

smb× 100 (2)

where

ρ

isthe drydensityofthesample,Vis thevolumeofthe

sample, andmd,mb and ms are oven-dried weight, the buoyant massofthesaturatedsampleinwaterandthemassofthe satu- ratedsampleinair,respectively.

2.4.Thermalproperties

Ahomemadeguardedhotplatesdevice[3,20,31]wasdesigned to measure the thermal propertiesof concrete containingMPCM such asthe thermal conductivity, the specific heat capacity and theheatstoragecapacity.Thesamplewasplacedinthemiddleof two aluminum plate heat exchangers. Each aluminum plateheat exchanger was connected to a programmable thermal regulated baththatdefinesthethermalconditions.A40mmthickpolyethy- lene expandedfoam (PEF) is usedto cover thesample andmin- imizetheheat lossesfromthe sidesof thesamples.Accordingly,

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Table 2

Composition of geopolymer concrete.

MPCM(wt.%) Alkaline solution(g) Water(g) FA (g) GGBFS ∗∗(g) Sand(g) Aggregate(g) Retarder(g) MPCM(g)

0 200 50 300 200 871.8 851.7 5 0

2.6 200 50 300 200 696.9 851.7 5 63

5.2 200 50 300 200 522.7 851.7 5 117

( ) FA: Flyash ( ∗∗) GGBFS: Ground granulated blast-furnace slag

theheat transfer through the sample can be assumedto behave accordingto one-dimensionalthermal conditions.Calibrated heat fluxsensors(Captecv,France)andcalibratedT-typethermocouples (OMEGA, US) were utilized to record the temperature variations andheatfluxesthroughsampleduringtesting.

Thermalconductivity

The thermal conductivityof the samples is defined according to theEuropean standard EN-12667. The thermal conductivity of thesamplesintheliquidandsolidstatesofPCMweredetermined byapplying differenttemperaturegradients betweenthetop and bottom aluminum plate heat exchangers corresponding to a liq- uidstate temperature range(T>30°C) anda solid state temper- aturerange (T<20°C). After the samples reached a steady-state, thetemperatureandheat fluxeson bothsurfaces ofthe samples werecollected.Thethermalconductivityofthesamplesintheliq- uidandsolidstatesofPCMwasdeterminedby[3]:

k=

ϕ

d

T (3)

whered=25±1mmisthethicknessofthesample,࢞Tisthedif- ferenceintemperaturebetweenthesurfacesofthesampleand

ϕ

istheaverageheatfluxesonbothfacesoftheconcretesample.

Specificheatcapacity/heatstoragecapacity

ThespecificheatcapacityoftheconcretecontainingMPCMwas determinedbyhomogeneouslyraisingthetemperatureofbothalu- minum plateheat exchangers from 5 °C and 45 °C at a heating rateof10°C/hour.It shouldbenotedthatasteady-statemustbe achievedatthe initialandfinal temperaturesofthisprocess.The dataincludingtheheatflux(

ϕ

)andtemperature(T)onbothsur- facesof thesamplewere collectedduringtheprocess usingcali- bratedheatfluxsensorsandcalibratedthermocouples.Thespecific heatcapacityasafunctionoftemperatureofthe samplescanbe determinedby[3,21]:

Cp

(

T

)

= A

ϕ (

T

)

mdTdt (4)

The totalheat storagecapacitywascalculatedinthe tempera- turerange of10–35 °C by Eq.(5) [21]using OriginPro2016 Sr2.

Q= A m

(

T2

T1

ϕ (

T

)

dT

)

(5)

whereT1=10 °C and T2=35 °C. A=400 cm2 is the area of the sample.

In addition, the thermalconductivity andspecific heat capac- ityof a homogeneous reference sample(granite rock-Nero Asso- luto, Zimbabwe) were determined by using the homemade hot plate system and a TPS2500 hotdisk system (Lund) to evaluate theaccuracyofthehomemade systemcompared tothecommer- cial one. The test wasperformed at room temperature (≈20°C) forthe TPS2500 hotdisksystem and a temperaturerange of15–

25°C for the homemade system. The results are summarized in Table3.Thereisagoodagreementbetweentheresultsmeasured bythehomemadedeviceandtheTPS2500withapproximately7%

and10% relativedifferencesforthe specificheatcapacityandthe thermalconductivity,respectively.Inaddition,thevaluesareclose tothelitteraturevaluesof thespecificheat capacityandthermal

Fig. 1. The thermal performance testing system (a) test box placed in an environ- mental chamber, (b) sketch of the cross-section of the test box.

conductivityofgranite rock(approximately790J/kg °Cand2.68–

3.07W/m °C [32]). Accordingly, thehomemade sytemcanbe uti- lizedtodeterminethethermalpropertiesofbuildingmaterials.

2.5. Energysavingaspects

Experimentaltest

Fig.1showsthethermaltestingsystemwhichwasutilizedto investigate the thermal impact of geopolymer concrete contain- ingmicrocapsulesandtoverifythenumericalmodel.Asmalltest box with inner dimensions of 600×800×600mm was made of 50mm panels of polyethylene expanded foam (PEF) (Fig. 1) and was placed inside an environmental chamber to model outdoor temperature fluctuations. The concrete sample was placed in a rectangular opening(200×200mm)in themiddle ofthetop in- sulationpanel.

For the test, the small test box was exposed to a daily sinu- soidaltemperature oscillation Tout (t) (Eq. (6)) using an environ- mental chamber (VT³ 4250, Vötsch, Germany) while the temper- ature inside the test box (Troom) was kept constant at 23°C by a temperatureregulator (AA150-LairdTechnologies). Formorein- formationregarding theenvironmentalchamber andtemperature regulator,see the supporting document [33]. The maximum out- doortemperatureTmax were setat14:00 duringthetemperature

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Table 3

Summarization of the specific heat capacity and thermal conductivity of granite rock determined by a homemade device and the TPS2500.

Methods Relative differences (%) T PS2500T PS2500−Homemade100%

Homemade device TPS2500 Literature

Specific heat capacity (J/Kg °C) 704 ±9 755 790 6.7

Thermal conductivity 2.65 ±0.03 2.93 2.68–3.07 9.6

Fig. 2. The setting and measured temperatures of the indoor (inside text box) and outdoor (outside test box) environnments.

variationoftheoutdoorconditions:

Tout

(

t

)

=Tmax+2Tmin+Tmax2 Tminsin

π

43200t−2

π

3

(6)

where Tmax=40°Cand Tmin=10°C are themaximumand min- imum outdoor temperatures during one day, respectively. In or- derto simplifythethermalsystem,theeffectofsolarradiationis not considered. At the initial stage, both the indoor temperature (Troom) andoutdoor temperature(Tout) were set at23°C for2h toreachasteady-statecondition.Afterwards,theoutdoortemper- aturecycles(Eq.(6))wereruncontinuouslyfor72h.

Thermocouples were installed atdifferent depths through the concretewallinstepsof25mmtomeasurethetemperatureacross the samples.Heatfluxsensors were installedon bothsurfacesof the concrete. Thermocouples were also placed at different posi- tions both in the test box andin the environmental chamber to record the indoor temperature(Troom) and theoutdoor tempera- ture(Tout).Alldatawererecordedevery60susingamultichannel multimeter(LR8410-20Hioki,Japan).

The outdoor andindoor temperatures duringthe experiments wererecordedandisshowninFig.2.Thereistheslightmismatch betweenthesettingtemperature(Eq.(6))andthemeancollected temperature for both the outdoor and indoor temperature. This is morepronounced forthe indoor temperature(Troom), whichis probably dueto the limitsof the heating/coolingcapacity ofthe temperature regulator. Therefore, the real experimental data col- lected using thecalibrated thermalcouples wasutilized asinput temperaturedataforthenumericalcalculationtoimprovethere- alityandaccuracyofthemethod.

Itisassumedthattheinsulationpanelsofthetestboxareper- fectly thermally insulated.The heat will transfer to the test box via theconcretesampleandbecompensatedforbythetempera- tureregulator tomaintainan insidetemperature(Troom) of23°C.

Accordingly, the total heat transfer to the test box can be calcu- latedby Eq.(7) andcorresponds to theenergy(power consump-

Fig. 3. Schematic representation of the MPCM-concrete wall, and implicit finite dif- ferences method using the energy balance approach with boundary conditions. The energy balance states that heat transferred into the volume element from all of the surfaces is equal to the change in the energy content of the volume element during

࢞t [34] .

tion) ofthetemperatureregulator (forheatingwhenthetemper- atureisbelow23°Candcooling whenthe temperatureishigher than23°C):

P= ∫240h

| ϕ

indoor

|

dt

3600·103 (7)

where

ϕ

indooristheheatfluxontheindoorsideofthesample.

ThepowerreductionPrisdefinedas:

Pr=PGPCPMPCMGPC

PGPC ·100% (8)

wherePGPCandPMPCM-GPCarethepowerconsumptionoftheheat- ing/cooling system during 24h for geopolymer concrete without andwithMPCM,respectively.

2.6.Numericalmethod

Anumerical modelwas developedto investigate theeffect of MPCM addition on the thermal properties of a concrete wall. A simplifiedanduninsulatedconcretewallwasutilized.Thethermal performanceincludingtheindoor surfacetemperatureofthecon- crete wall, andthe power consumption andpower reduction for theheatingandcoolingsystemtomaintainaconstantindoortem- peraturewerenumericallycalculated.

Themodelusedtoinvestigatethethermalbehaviorofthecon- cretewall isshowninFig.3.In ordertosimplifythemodel,itis assumedthat:

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Theheattransferthroughthewallisaone-dimensionalcondi- tion.

The GPC containing microcapsules is homogeneous and isotropic.

Thereisnoheatgenerationinthesamples.

TheconvectioneffectinthemeltedPCMandsuper-coolingef- fectsareneglectable.

The indoorandoutdoorheattransfer coefficientsare assumed tobeconstantandareobtainedfromtheliterature.

The thermalconductivity,specificheatcapacity,anddensityof theconcretewallswhichwereusedasinputdataforthenumerical calculationwereexperimentallydetermined.

The mathematical model for one-dimensional heat transfer throughthewallis[16,17,34]:

k

2T

x2 =

ρ

Cp

(

T

)

T

t (9)

wherek,

ρ

,xarethethermalconductivity,density,andthickness of the wall, respectively. Cp(T) is the specific heat capacity asa functionoftemperatureofGPCcontainingmicrocapsules.

Numericalsolutionprocedure

The implicitfinitedifferencemethodusingtheenergybalance approachisusedtosolvethemathematicmodelandisillustrated inFig.3 [34].Theconcretewall isfirstdiscretizedinto anumber ofnodes(N)withadistanceof࢞xbetweentwo adjacentnodes.

Thevolumeelementsoverthenodes,whereenergybalanceisap- plied,are formed to determine the temperatures atall nodes of thesample. Theresulting implicitfinitedifferencesusing theen- ergybalanceapproachequationsare:

◦ Interiornodei=1(x=0,indoorwallsurface)(boundarycondi- tion[34]):

kT2t+tT1t+t

x +hi

Tt+roomtT1t+1t

=

ρ

Cp

x 2

T1t+tT1t

t

(10)

T1t=

(

1+2BiiFo

)

T1t+t−2FoT2t+t−2BiiFoTroomt+t (11)

◦ Innernodei=2toi=N-1 kTmt+1tTmt+t

x +k

Tmt++1tTmt+t

x =

ρ

Cp

xTmt+

ttTmt (12) Tmt =−FoTmt+−1t+

(

1+2Fo

)

Tmt+tFoTmt++1t (13)

◦ Exteriornodei=N(x=L,outdoorwallsurface)(boundarycon- dition[17,19,34,35]):

kTN−1t+tTNt+t

x +ho

Toutt+tTNt+t

=

ρ

Cp

2x

TNt+tTNt

t

(14)

TNt =−2FoTNt+1t+

(

1+2Fo+2BioFo

)

TNt+1−2BioFoToutt+t (15) whereBii and Bio are the Biotnumbers in the room and in the outdoorenvironment,respectively:

Bii= hi

x

k and Bio=ho

x

k (16)

FoistheFouriernumbercalculatedas:

Fo= k

t

ρ

Cp

(

x

)

2 (17)

Tmt,Tmt+t are the temperaturesof node m attime t andtime (t+࢞t),respectively.Inaddition,࢞t=60sand࢞x=0.005mwere

selected for all cases. The initial temperature of the systemwas setto23°C.ToutandTNaretheoutdoortemperatureandtheout- doorwallsurfacetemperature(x=L).hiandhoaretheindoorheat transfercoefficient(testbox)andtheoutdoorheattransfercoeffi- cient(environmental chamber),respectively. Theheattransferco- efficient dependson the surface orientation, the directionof the heat flow and the velocity of the heat flow [36], which are col- lected fromthe experimental setup. To simplifythe complex de- termination,theheattransfercoefficientvalueswereselectedfrom the literature basedon the experimental setup information.Both hi andho were considered to have the same value of 8W/m2 K forthehorizontalwall.Thisissimilartotherecommendedvalues ofASHEA[36]andhasbeenutilizedforsimilarcalculationsprevi- ously[17,37,38].

MATLAB (Mathworks Inc., Natick, MA, USA) wasemployed to solveEq.(10)Eq.(15)forallnodes.Relevantoutputdataincluding thetemperatureacrossthethicknessoftheconcretesamples,and theheatfluxontheindoorsurface(

ϕ

indoor)werecollected:

ϕ

indoor

(

t

)

=hi

TroomtT1t

(18) Accordingly,thepowerrequiredforaheating/coolingsystemto keep theindoor temperature stablewasdetermined fromEq.(7) whilethepowerreductionPrwascalculatedfromEq.(8).

Testingconditions

In order to evaluate the effect of microcapsules on the ther- mal impact on buildings using MPCM-GPC walls, various condi- tionswereemployed.Thoseconditionswerecarefullyselectedand appliedonboththenumericalmodelandtheexperimentaltests.

Outdoorandindoortemperature

Inordertoverifythenumericalmodel,theactualoutdoortem- perature (environmental chamber) and indoor temperature (test box)werecollectedthroughtheexperimentsusingcalibratedther- malcouples.Thesedataareutilizedastheinputtemperaturedata forthenumerical calculationto improvethereality andaccuracy ofthemethod.

MPCMconcentration

MPCMconcentrationswereselectedat0,2.6and5.2wt.%ofthe totalweightoftheconcrete,toevaluateeffectofMPCMconcentra- tion onthe thermalperformance of theconcrete. The concentra- tionofMPCM waslimitedto5.2wt.%sincehigherconcentrations ofMPCMresultedinatoolowworkabilityoftheconcrete.

Concretethickness

Duetotheimportanceofthewallthicknessontheheattrans- fer process ofbuildings, the thickness of the concrete wallswas varied to investigatethe effect onthe thermal performance. GPC withoutmicrocapsulesandGPC containing5.2wt.%microcapsules atthicknessesof25,50and75mmwereutilized.

3. Resultsanddiscussion 3.1. MPCM-GPCdensityandporosity

The open porosity of GPC as a function of MPCM concentra- tionisshowninFig.4(a).TheporosityincreaseswhentheMPCM concentrationisraised.Thesmallersizeofthemicrocapsulescom- paredtothesandparticles(seeFig.1inthesupportingdocument [33]) is a possible explanation forthis trend andin good agree- ment with previous findings [3].The porosity of GPC containing PS-DVB/RT27is lowerthan forMF/PCM24, especiallyafteradding 2.6wt.%microcapsules.MF/PCM24 hasapolymershellcontaining polaramine groups, which give rise totwo opposite effects. Due

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Fig. 4. (a) Open porosity, (b) density, (c) thermal conductivity and (d) storage energy as function of MPCM concentration of GPC containing PS-DVB/RT27 and GPC containing MF/PCM24.

Fig. 5. SEM images of GPC containing 2.6 wt.% of (a) PS-DVB/RT27, (b) MF/PCM24.

tothepolargroups,thepolymershellofMF/PCM24ismorecom- patible withtheGPC. Thiscausesbetter interface bonds between microcapsules and the geopolymer. Thiscan reduce the air gaps betweenMPCMandGPC.PS-DVB/RT27hasahydrophobicpolymer shell which repelwater. This causesmore airgaps to be formed betweenthemicrocapsulesandtheGPCduringthemixingprocess [3,39,40].AsisevidentfromtheSEMimagesinFig.5,obviousgaps areobservedbetweentheconcretematrixandPS-DVB/RT27,while there isalmost noairgaps betweenMF/PCM24 andtheconcrete matrix. This observation is supported by Zhang et al. [41] who concluded that the interface bonds between MPCM andPortland cement mortar can be improvedby modifying the surfaceofthe microcapsules using a silane couplingagent. On the other hand, thepolargroupsontheMF polymershellandthesmallersize of MF/PCM24 promotes adsorption of morewater onthe surfaceof the MF/PCM24 microcapsules [42]. This resultsin higherviscosi- ties[3,5],whichincreasestheprobabilityofformingentrappedair voids during the mixing and pouring process. The higherporos-

ityofGPC containingMF/PCM24compared toGPCcontainingPS- DVB/RT27isprobablyduetothiseffect.

The lower density of microcapsules compared to the sand it replacesandthe increase oftheporosity causea decreaseof the densityoftheMPCM-GPCsampleswhentheMPCMconcentration increases (Fig. 4(b)). Similar observations were also found previ- ously[1,3].The densitydecreases moreforMF/PCM24,whichhas thehighestporosityincrease.

The average thermal conductivity of GPC containing different amounts of MPCM is summarized in Fig. 4(c). The thermal con- ductivityof MPCM-GPCdecreaseswhen the concentration ofmi- crocapsulesisraised.Thisisduetothelowerthermalconductivity ofthemicrocapsulescomparedtothatofreplacedsand[3]andthe enhanced porosity(Fig.4(a)) afteradding microcapsules.Further- more,GPC containingMF/PCM24 has alower thermal conductiv- itythanGPCcontainingPS-DVB/RT27,whichisingoodagreement withtheporositydatawhichrisesfasterforMF/PCM24(Fig.4(a)).

Additionally,thebetter distribution ofMF/PCM24 inthe concrete matrixcomparedtoPS-DVB/RT27(Fig.5)canprovideanimproved

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thermalpathwaythrough the concretematrix andcausea lower thermalconductivity.

Fig.4dsummarizestheheatstoragecapacityofGPCasafunc- tionof microcapsule concentration within the temperature range of10–35 °C. The heat storage capacity increasesas more micro- capsulesareaddedtotheconcrete.Thisisingoodagreementwith Shadniaetal.[43]whodemonstratedthattheheatstoragecapac- ityofgeopolymermortarincreaseswhentheamountofMPCMin- creases.Asimilar observationhas beenobserved forthe integra- tionofMPCMinPortlandcementmortar[20,21],andPortlandce- mentconcrete[1,2].Inaddition,theincrease ismorepronounced forMF/PCM24duetothehigherenthalpyoffusion(Table1).

SEM images(Fig.5) show that the microcapsules remain sta- ble with a spherical shape in the concrete matrix. This demon- stratesthatbothPS-DVB/RT27andMF/PCM24microcapsuleshave agoodmechanicalstrengthwhichcanwithstandtheconcretemix- ingprocess.Hungeretal.[17] foundthatMicronalD5008X(poly- methylmethacrylate/paraffin) MPCMwasbroken duringthemix- ingprocessleadingtoareductionofthePortlandcementconcrete compressivestrength.Accordingly,bothtypesofmicrocapsulesuti- lizedinthecurrentstudyareprobablystrongerthantheMicronal D5008X.

3.2.SpecificheatcapacitycurveofMPCM-GPC

InordertoaccuratelysimulatethethermalperformanceofGPC containingMPCM, it isimportant to utilizean accurate equation to represent the experimental data of the specific heat capacity function(Cp(T)).ThisfittedCp(T)canbeutilizedforsimulatingthe phasetransitionprocess.

Most previous studies define Cp(T) assuming that the melt- ing peak is symmetric, utilizing a piecewise function of temper- ature[16,17]oraGaussianfunctionoftemperature[19]formodel- ingpurposes.However,forconcretecontainingmicrocapsulesthis assumption is not in agreement with the experimental curve of Cp(T), which presents an asymmetric shape of the melting peak [3,20–22]. We have therefore, utilized a new equation (Eq. (19)) basedonthe Pearson IVfunctionto fitthe specificheat capacity (Cp(T))totheasymmetricshape:

Cp

(

T

)

=

⎧ ⎪

⎪ ⎩

Cpo+hwl2ml wl2+

2

m1l1

(2T2Tm)2

ml f orTTm

Cpo+hwr2mr wr2+

2m1r−1

(2T−2Tm)2mr f orT>Tm

(19)

whereCpo andh arethe specificheat capacityoutsidethemelt- ingrangeandtheheightofthemeltingpeak,respectively;Tm,wl andwr arethemeltingpeaktemperature, thephasechangetem- peraturerangeontheleftsideandrightsideofthemeltingpeak, respectively;mlandmrareshapeparametersfortheleftandright sideofthepeak,respectively.

Theexperimentaldataofthespecificheatcapacityversustem- peratureofGPC containing5.2wt.% microcapsulesMF/PCM24 fit- tedtoEq.(19)isshowninFig.6(a).ThehighvalueofR2(0.99)and thenon-systematicresiduals(Fig.6(b))illustratethatthismodelis wellsuitedforcharacterizingthesesystems.

Fig. 7showsthe fittedparameters obtainedfromEq.(19).The specificheatcapacityoutsidethemeltingrange(Cpo)ofbothGPC containingPS-DVB/RT27 and GPC containing MF/PCM24 increase when the concentration of microcapsules is raised (Fig. 7(a)).

Thisis dueto the higher specific heat capacityof the microcap- sules compared to geopolymer concrete [3]. This is inconsistent with previous findings [3], where the specific heat capacity of MPCM-concreteremainedalmostunchangedafteradding2.7wt.%

ofMPCM.Thediscrepancyisprobablyduetothehighermicrocap- sule concentration applied in the current study (5.2wt.%) which

Fig. 6. (a) The specific heat capacity of GPC containing 5.2 wt.% of MF/PCM24 as function of temperature. The black solid line is experimental values. The red line shows the fitted values according to Eq. (19 ). (b) Residual plot between the mea- sured and fitted values. (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)

ishighenoughto causeasignificantincrease ofthespecific heat capacity. Thisobservationis in agreementwith Joulin etal.[21], whostudiedeffectofMPCMonthespecificheatcapacityofPort- land cement mortar. Interestingly, the melting peak temperature ofGPCcontainingmicrocapsulesincreasesastheconcentrationof microcapsulesisraised.Thereasonforthisisunclear,butitmight be caused by the reduced thermal conductivities of the samples (Fig. 4(c)) andthe airgaps between the concrete matrix and the microcapsules(Fig.5).Whenthethermalconductivitydecreasesit takeslongerfortheheattoreachthemicrocapsulestomeltthem, thereby shifting the melting peak to highertemperatures. In ad- dition,theairgapsbetweenPS-DVB/RT27andtheconcretematrix will act as an insulation layer, preventing the heat to efficiently reachthemicrocapsules.Thiswillfurtherdelaythemeltingofthe MPCMcore.

3.3. Energysavingaspects

In order to evaluate the thermal impact of MPCM-concrete structures,numericalsimulationsandexperimentalmeasurements were carriedout.The numericalmodelpresentedinthisstudyis validatedusingtheexperimentalresultsobtainedbyusingthesys- temshow in Fig.1. Results fromthe numericalmodelwas com- paredwiththeexperimentalmeasurements.

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Fig. 7. (a) The specific heat capacity Cp oand (b) the fitted melting peak T mof GPC containing microcapsules as a function of microcapsule concentration obtained by fitting to Eq. (19) .

Fig. 8. Comparison of numerical model with experimental measurements for the indoor surface temperature of GPC0 and GPC-5.2-(MF/PCM24). The wall thickness of all samples is 75 mm.

Fig.8 presentsacomparisonofthe numericalmodelwithex- perimental measurements for the indoor surface temperature of GPC0 and GPC-5.2-(MF/PCM24). There isa reasonableagreement between the experimental data and the numerical calculations.

Both numerical and experimental data show that the variation of the indoor surface temperature of GPC containing 5.2wt.% of MPCM is smaller than that of GPC without MPCM. This due to the higher heat storage capacityand lower thermalconductivity ofGPCaftertheadditionofMPCM.Accordingly,theintegrationof MPCM into the geopolymer concrete significantly reduce the in- fluenceoftheoutdoortemperatureontheindoor surfacetemper- ature.This can be utilizedto reduce theenergy consumption for heating andcooling. However, the temperaturepeak occurs later in the numerical model than in the experimental work, andthe melting transitionis much clearerin theexperimental data than inthenumericalmodel(Fig.8).

Fig. 9 showsa comparison of the numerical results with ex- perimental measurements for the temperature variations across the concrete thickness atdifferent timesfor GPC without MPCM and containing5.2wt.% ofMPCM (PS-DVB/RT27and MF/PCM24).

Forthistest,thethermocoupleswereinsertedthroughthe75mm thick concrete sample with distance of 25mm to determine the temperatureacrosstheconcretesampleatdifferenttimes(3h,6h,

12hand22h).Fig.9showsthatthetemperatureacrossthethick- nessoftheconcreteobtainedby experimentalandnumericalcal- culationexhibitthesametrends forall samples.ForGPC without MPCM(Fig.9(a))thereisnosignificantdeviationbetweenthenu- mericalmodelandtheexperimentaldata,illustratingthatthenu- mericalmodelprovidesaverygoodsimulationattheseconditions.

Inthepresence ofMPCM,thereisa smalldeviationbetweenthe numericalmodelandtheexperimental data(<1°C).Thisisprob- ably dueto the small deviations betweenthe numerical calcula- tions and the experimental data around the transitionareas and theslightlydifferentpositionsofthepeaks(Fig.8).

Theheatfluxontheindoorsideofconcretesampleswerecol- lectedandcompared tothe numericalcalculations. Fig.10shows the experimental curves and numerical curves of the heat flux on theindoor side ofconcrete wall without MPCM and contain- ing 5.2wt.% of MF/PCM24. For the GPC without MPCM there is a very good agreement between the simulation and the experi- mentaldata.InthepresenceofMPCM,theagreementisgoodex- ceptforasmalldeviationaroundthemelting/solidifyingtransition points.The transitionzonesare moreevident forthe experimen- taldatathaninthesimulations.Thereareseveralpossiblereasons forthisdiscrepancy. The utilizedmodel assumesa homogeneous sample,which isnot strictly correctwhenmicrocapsulesare dis- tributedintheconcretematrix.Inaddition,thephasechangepro- cessdependsnotonlyontemperaturebutalsoonthetimeittakes tocompletelyconvertthePCMtoaliquidphase(meltingprocess) orto a solid phase (solidifying process).Furthermore, the model doesnottakeintoaccounttheeffectoftheinterfacebetweencon- creteandmicrocapsules,whichcaninfluencetheheattransferpro- cessespeciallywhenthereareairgapsbetweenthemicrocapsules andtheconcretematrix.Itis alsopossiblethatthe heatcapacity Cp(T)utilizedinthemodelislowerthantheactual valuesand/or thatthethermalconductivityislowerthanexpected.

Thetotalheattransferattheindoorsurfacecanbeusedtode- termine the heat gain/loss toward the indoor environment. This mustbecompensatedbyaheating/coolingsysteminordertokeep aconstantindoortemperature.Accordingly,thetotalheatgain/loss towardthe indoor environment canbe considered asthe energy consumptionoftheheating/coolingsystemtomaintainaconstant indoor temperature. In this study, the total energy consumption of the heating/cooling system is the sum of the heating power consumption when the indoor surface temperature Tx=0<Troom, andthecoolingpowerconsumptionwhentheindoorsurfacetem- peratureTx=0>Troom.Inorderto verifythemodel,thesimulated powerconsumptionandpowerreductionwerecomparedtoexper-

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Fig. 9. Comparison of numerical model with experimental measurements for temperature variations across the concrete thickness at different times for (a) GPC0, (b) GPC- 5.2-(PS-DVB/RT27) and (c) GPC-5.2-(MF/PCM24). The thickness of all samples is 75 mm.

Fig. 10. Comparison of simulation model with experimental measurements for the indoor surface heat flux variations with time of GPC0 and GPC-5.2-(MF/PCM24). The thickness of all samples is 75 mm.

imentaldata.Furthermore,theeffectofMPCMconcentration,con- crete wall thickness and different kinds of microcapsuleson the thermalperformancewereinvestigated.

Fig. 11 presents the total calculated power consumption (Eq.

(18)) and the power reduction (Eq. (19)) for the heating/cooling systemto maintainan indoor temperatureof 23°C forboth the experimentaltestandthenumericalcalculation.Twokindsofmi- crocapsulesPS-DVB/RT27 andMF/PCM24 were utilized.Fig. 11(a) revealsthat the power consumption forthe heating/cooling sys- temto maintainan indoor temperatureof 23 °C decreases sub- stantiallywhentheMPCMconcentrationisraised.Theexperimen- taldatashowsthatthesystemcanreducethepowerconsumption

withup to18.5% forPS-DVB/RT27and25.9% forMF/PCM24 after adding5.2wt.%ofmicrocapsules(Fig.11(b)).Thisdemonstratesthe promisingthermalimpactofGPCcontainingMPCMon thebuild- ing envelope.The effectisduetoa combinationofa higherheat storagecapacityandthe betterinsulation propertiesofGPC after addingmicrocapsules.Thisis inagreementwithprevious experi- ments [1,3] and numericalcalculations [17]. The simulations and experimental data exhibit thesame trends.However, the simula- tionsunderestimatetheamountofpowerthatcanbesavedutiliz- ingMPCM.Thismightbeduetothedeviationsbetweentheexper- imentalandsimulateddataillustratedinFig.10.Furthermore,itis possiblethat theheattransfercoefficientsfortheindoor (hi)and outdoorconditions(ho)chosenfromtheliteraturemightbehigher thantheactualvalues.

Fig.12(a)showstheexperimentalcurvesoftheindoorsurface heat flux of GPC containing 5.2wt.% of MF/PCM24 asa function ofthe concretethickness.There isa reduction oftheindoor sur- face heat flux when the wall becomes thicker. This is expected sincetherateofheatconductionthroughthewallisinverselypro- portional to the wall thickness (Eq. (6)). This results in a lower powerconsumption tomaintainthe indoortemperaturestableat 23°C(Fig.12(b)).Fig.12(c)illustratesthepowerreductionofGPC containing5.2wt.% of microcapsules(GPC-5.2-(PS-DVB/RT27) and GPC-5.2-(MF/PCM24)) compared to corresponding samples with- out microcapsules asa function of concrete thickness (Eq. (19)).

The experimental power reduction increase from 6.8% to 24.3%

forGPC-5.2-(PS-DVB/RT27) andfrom 12.5% to 34.8% forGPC-5.2- (MF/PCM24)whentheconcretethicknessincreasesfrom25mmto 75mm. Thisis probablydueto a combinationof theheat trans- ferreductionforthethickersamplesandtheeffectofahighheat storagecapacityafteraddingmicrocapsules.

GPC containingMF/PCM24 have a betterthermal impact than GPC containing PS-DVB/RT27. This is expected since GPC with MF/PCM24haslowerthermalconductivityandhigherheatstorage

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Fig. 11. Experimental data and simulation values of (a) the power consumption and (b) the power reduction of GPC as function of microcapsule concentration. Two kinds of microcapsules (PS-DVB/RT27 and MF/PCM24) were utilized. The thickness of the sample is 50 mm.

Fig. 12. The effect of wall thickness on (a) indoor surface heat flux GPC-5.2- (MF/PCM24), (b) the power consumption of GPC without microcapsules and GPC containing 5.2 wt.% microcapsules and (c) the power reduction of GPC containing 5.2 wt.% microcapsules compared to GPC without microcapsules.

capacitythanthat GPCcontainingPS-DVB/RT27(Fig.4).Although thereare differencesbetweenthe powerconsumptionandpower reductionbetweentheexperimentalandnumericaldata,they ex- hibitthesametrends.

Thenumericalmodelworkwell,withsmalldeviationsfromthe experimental data.Accordingly, thisnumericalmodelcanbeused as a quantitative tool to predict the thermal impact of concrete containing microcapsules at different climate conditions and for varyingbuildingdesigns.

4. Conclusion

Environmental friendly geopolymerconcretewitha highther- mal energy storage capacity containing microencapsulated phase change materials wasachieved. Byintegratingmicroencapsulated phase change materials (MPCM) into geopolymerconcrete (GPC), the thermal energy storage capacity of GPC is improved while the thermalconductivityandthe densityofgeopolymerconcrete

(GPC)decrease. Thisresultsinan enhancement oftheenergy ef- ficiency of the building envelope. A higher amount of MPCM in GPCorthickerMPCM-GPCwallscanreduce thepowerconsump- tionneededtostabilizetheindoor temperatureat23°C. Theex- perimentaldatashowthatthepowerconsumptioncanbereduced by up to 34.8% and24.3% when utilizing a 75mm concretewall containing5.2wt.%ofMF/PCM24andPS-DVB/RT27,respectively.

The influence of the hygroscopic nature, the latent heat and thesizedistributionofmicroencapsulatedphasechangematerials onthemicrostructureandthermalpropertiesofgeopolymercon- crete(GPC) were explored.MF/PCM24 whichhasa polymer shell containingpolarfunctionalgroups,ahigherlatentheatandsmall sizes(≈21μm)exhibitedahigherporosity,betterinterfacialbonds betweenmicrocapsulesandtheconcretematrix,ahigherthermal energystoragecapacity,andalowerthermalconductivitythanPS- DVB/RT27,whichhasahydrophobicpolymershellandlargersizes (≈130μm).

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Although there is a small deviation between numerical data andexperimental results, the numerical values obtainedfor GPC containingMPCM wasin good agreement withthe experimental data.Accordingly, the numerical model,based on the implicitfi- nitedifferencesmethodusingtheenergybalanceapproachandthe heatcapacitymethod, canbe utilizedto theoretically predictthe thermalperformanceofbuildingmaterialscontainingmicroencap- sulatedphase changematerials. A newequation wassuccessfully utilized to describe the specific heat capacity of GPC containing MPCM asfunction of temperature, which improvedthe accuracy ofthenumericalmodel.

Acknowledgments

We gratefully acknowledge funding from the Research Coun- cil of Norway, project number 238198. The authors gratefully acknowledge Rino Nilsen, Trond Atle Drøbak at Østfold Univer- sityCollege, Prof. Lars Wadsö at LundUniversity andVan ThiAi Nguyenfortheirassistancewithlaboratorywork.

Supplementarymaterials

Supplementary material associated with this article can be found,intheonlineversion,atdoi:10.1016/j.enbuild.2018.06.011. References

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