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Decision Support System of Innovative High-Temperature Latent Heat Storage for Waste Heat Recovery in the Energy-Intensive Industry

Abstract

Reductions in energy consumption, carbon footprint, equipment size, and cost are key objectives for the forthcoming energy-intensive industries roadmaps. In this sense, solutions such as waste heat recovery, which can be replicated into different sectors (e.g., ceramics, concrete, glass, steel, aluminium, pulp, and paper) are highly promoted. In this line, latent heat thermal energy storage (TES) contributes as an innovative technology solution to improve the overall system efficiency by recovering and storing industrial waste heat. To this end, phase-change material (PCM) selection is assisted through a decision-support system (DSS). A simplified tool based on the MATLAB(R) model, based on correlations among the most relevant system parameters, was developed to prove the feasibility of a cross-sectorial approach. The research work conducted a parametric analysis to assess the techno-economic performance of the PCM-TES solution under different working conditions and sectors. Additionally, a multicriteria assessment was performed comparing the tool outputs from metal alloys and inorganic hydrated PCM salts. Overall, the inorganic PCMs presented higher net economic and energy savings (up to 25, 000 euro/yr; 480 MWh/yr), while metal alloys involved promising results, shorter cycles, and competitive economic ratios; its commercial development is still limited. Royo, P.; Acevedo, L.; Arnal, A.J.; Diaz-Ramirez, M.; Garcia-Armingol, T.; Ferreira, V.J.; Ferreira, G.; Lopez-Sabiron, A.M.

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Decision Support System of Innovative High-Temperature Latent Heat Storage for Waste Heat Recovery in the Energy-Intensive Industry

Author: Royo, P.; Acevedo, L.; Diaz-Ramirez, M.; Ferreira, V.J.; Garcia-Armingol, T.; Lopez-Sabiron, A.M.; Arnal, A.J.; Ferreira, G.
Year: 2021
DOI: 10.3390/en14020365
Source: https://zaguan.unizar.es/record/100721/files/texto_completo.pdf
ene gies
A icle
Decision Suppo Sys em o Inno a i e High-Tempe a u e
La en Hea S o age o Was e Hea Reco e y in he
Ene gy-In ensi e Indus y
Pa icia Royo 1,2,* , Luis Ace edo 1,2,Ál a o J. A nal 1,* , Ma yo i Diaz-Ramí ez 1,2 ,
Ta iana Ga cía-A mingol 1,2, Vic o J. Fe ei a 1,2, Ge mán Fe ei a 2and Ana M. López-Sabi ón1,2


Ci a ion: Royo, P.; Ace edo, L.;
A nal, Á.J.; Diaz-Ramí ez, M.;
Ga cía-A mingol, T.; Fe ei a, V.J.;
Fe ei a, G.; López-Sabi ón, A.M.
Decision Suppo Sys em o
Inno a i e High-Tempe a u e La en
Hea S o age o Was e Hea
Reco e y in he Ene gy-In ensi e
Indus y. Ene gies 2021,14, 365.
h ps://doi.o g/10.3390/en14020365
Recei ed: 11 Decembe 2020
Accep ed: 8 Janua y 2021
Published: 11 Janua y 2021
Publishe ’s No e: MDPI s ays neu-
al wi h ega d o ju isdic ional clai-
ms in published maps and ins i u io-
nal a ilia ions.
Copy igh : © 2021 by he au ho s. Li-
censee MDPI, Basel, Swi ze land.
This a icle is an open access a icle
dis ibu ed unde he e ms and con-
di ions o he C ea i e Commons A -
ibu ion (CC BY) license (h ps://
c ea i ecommons.o g/licenses/by/
4.0/).
1Fundacion CIRCE—(Resea ch Cen e o Ene gy Resou ces and Consump ion), A enida Ranillas,
Edi icio Dinamiza 3D, 50018 Za agoza, Spain; [email p o ec ed] (L.A.); mdiaz@ ci ce.es (M.D.-R.);
ga cia@ ci ce.es (T.G.-A.); j e ei a@ ci ce.es (V.J.F.); amlopez@ ci ce.es (A.M.L.-S.)
2Ins i u o Uni e si a io de In es igación Mix o CIRCE—(Fundacion CIRCE—Uni e sidad de Za agoza),
Pa que Emp esa ial Dinamiza, A enida Ranillas 3D, 50018 Za agoza, Spain; ge man @uniza .es
*Co espondence: [email p o ec ed] (P.R.); aja nal@ ci ce.es (Á.J.A.)
Abs ac :
Reduc ions in ene gy consump ion, ca bon oo p in , equipmen size, and cos a e key
objec i es o he o hcoming ene gy-in ensi e indus ies oadmaps. In his sense, solu ions such as
was e hea eco e y, which can be eplica ed in o di e en sec o s (e.g., ce amics, conc e e, glass, s eel,
aluminium, pulp, and pape ) a e highly p omo ed. In his line, la en hea he mal ene gy s o age
(TES) con ibu es as an inno a i e echnology solu ion o imp o e he o e all sys em e iciency by
eco e ing and s o ing indus ial was e hea . To his end, phase-change ma e ial (PCM) selec ion is
assis ed h ough a decision-suppo sys em (DSS). A simpli ied ool based on he MATLAB
®
model,
based on co ela ions among he mos ele an sys em pa ame e s, was de eloped o p o e he
easibili y o a c oss-sec o ial app oach. The esea ch wo k conduc ed a pa ame ic analysis o assess
he echno-economic pe o mance o he PCM-TES solu ion unde di e en wo king condi ions
and sec o s. Addi ionally, a mul ic i e ia assessmen was pe o med compa ing he ool ou pu s
om me al alloys and ino ganic hyd a ed PCM sal s. O e all, he ino ganic PCMs p esen ed highe
ne economic and ene gy sa ings (up o 25,000
€
/y ; 480 MWh/y ), while me al alloys in ol ed
p omising esul s, sho e cycles, and compe i i e economic a ios; i s comme cial de elopmen is
s ill limi ed.
Keywo ds:
decision suppo sys em; he mal ene gy s o age; was e hea eco e y; phase change
ma e ials; ene gy-in ensi e indus y; sys em in eg a ion; mul ic i e ia analysis
1. In oduc ion
Imp o ing e iciency as an o e all concep plays a c ucial ole in he de elopmen
o sus ainable ene gy policies ega ding indus ial sec o s and clima e change mi iga ion
ac ions [
1
]. Speci ically, he objec i es o he Ene gy Union (EU) [
2
] a e mean o achie e an
in eg a ed ene gy ma ke wi h inc easing ene gy in e connec ion boos ing compe i ion and
e icien use o esou ces. Among hese ac ions, he SET-Plan has con i med i s ole as he
key EU ene gy esea ch and inno a ion ini ia i e aim o achie e he Eu opean ansi ion o
clima e neu ali y by 2050. In o de o achie e he objec i es men ioned abo e, a se ies o
policies and measu es g ouped in o i e dimensions a e p oposed: deca bonisa ion, ene gy
e iciency, ene gy secu i y, inno a ion and compe i i eness, and in e nal ene gy ma ke
and esea ch [3].
Ene gy-in ensi e indus ies (EII) accoun o 80% o he o al indus ial ene gy con-
sump ion, becoming a majo ocus o ene gy and en i onmen al e iciency s a egies [
4
].
Among he speci ic measu es o he was e ene gy in he indus ial sec o , he p io i y
measu es con empla ed a e he eco e y o esidual ene gy (bo h hea and cold) and he
Ene gies 2021,14, 365. h ps://doi.o g/10.3390/en14020365 h ps://www.mdpi.com/jou nal/ene gies
Ene gies 2021,14, 365 2 o 13
in eg a ion o sys ems h ough p ocess op imisa ion and indus ial symbiosis [
3
]. The
SET-Plan also iden i ied he EII o i on and s eel p oduc ion as well as he chemical and he
pha maceu ical sec o s as he sec o s wi h he mos signi ican po en ial o ene gy sa ings
and high socio-economic impo ance [
5
] due o he gene a ion o alue-added p oduc s
and he associa ed job c ea ion. Fu he mo e, he ce amic sec o is also a ele an example
wi hin he manu ac u ing indus y because o he high uel consump ion equi ed in i ing,
d ying, and sp ay d ying p ocesses [6].
In he indus ial sec o , a subs an ial pa o he ene gy is con e ed in o was e hea
due o ine iciencies, o which 50% co esponds o empe a u es abo e 250
◦
C [
7
]. Aligned
o he aising awa eness o global wa ming e ec s and inc emen o uel p ices, was e hea
eco e y and u nace e o i ing ha e a di ec and bene icial impac on he e iciency o
he p ocess and, consequen ly, on he educ ion o consump ion, en i onmen al pollu ion,
and size and cos o equipmen . Especially in he EII sec o s [
8
], he e exis s a g ea po-
en ial o ake ad an age o he exhaus s eam o gases, especially a high empe a u es.
Jouha a e al. [9]
comp ehensi ely e iewed was e hea eco e y me hodologies and ech-
nologies used o indus ial p ocesses in s eel and i on, ood, and ce amic sec o s, poin ing
ou he applicabili y o echnologies based on sensible hea exchange such as ecupe a o s,
egene a o s, passi e ai p ehea e s, hea exchange based on la pla es, economise s, and
uni s such as was e hea boile s and un a ound coil. O e he o al was e hea po en ial in
he EU (300 TWh/y ), he ep esen a i i y sha e co esponds o low-g ade below 200
◦
C
(33%), medium-g ade (25%), and high-g ade (33%) was e hea abo e 500 ◦C [6].
Among he ene gy e iciency al e na i es, i is wo h men ioning he ele ance o he -
mal s o age sys ems (TES) o inc ease he sys em lexibili y and o mi iga e he decoupling
be ween ene gy gene a ion and demand. Se e al success ul cases ha e been ound in o he
ields, such as he in eg a ion o s o age solu ions in buildings and enewable ene gies
p oduc ion owa ds sus ainable ene gy [
10
]. Rega ding i s applica ion on indus ial en i-
onmen s, Gibb, e al. [
11
] poin ed ou ha a majo challenge is iden i ying he pe o mance
ac o s ha make a TES sui able and consequen ly ma ching he mos bene icial s o age
sys ems wi h an app op ia e p ocess. I needs a p ecise me hod and an e alua ion p oce-
du e o TES sys ems in eg a ed in o di e en applica ions, such as he one de eloped in
Annex 30 o he In e na ional Ene gy Agency (IEA) echnology collabo a ion p og amme
o Ene gy Conse a ion h ough Ene gy S o age (ECES) [
12
]. This me hodology e alua es
TES sys ems in eg a ed in o p ocesses and de ines some p ocess analysis guidelines o
do so. Howe e , his me hodology would need o be u he adap ed o he EII sec o
applica ion and in eg a ion mo e speci ically.
Recen ly he main challenge is o ocus on was e hea eco e y (WHR) and TES sys-
ems wo king a high empe a u es. In his scena io, he e is a majo limi a ion in e ms o
ma e ial a ailabili y and ope a ing condi ions [
13
]. The e o e, he selec ion o sui able ma e-
ial is a c ucial aspec o he PCM-TES design [
14
]. In his sense, Fe nandes e al. [
15
] ca ied
ou an in-dep h analysis o high- empe a u e TES ma e ials. Main esul s highligh ed he
me al oams as a p omising al e na i e o ino ganic sal s o imp o e he he mo-mechanical
p ope ies. A medium empe a u e was e hea quali y, Fe ei a e al. [
16
] analysed he
en i onmen al beha iou o wen y indus ial applica ions combining ou PCM-TES sys-
ems a ying he ype o sal (PCM) inco po a ed and ob aining e y p omising esul s.
A high- empe a u e anges, Royo e al. [
17
] p oposed PCM-TES con igu a ions wo king
a high empe a u es, namely, a shell and ube s uc u e wi h PCM con ained in o double
concen ic ubes, a PCM-TES sys em o med by wo hea exchange (HX) modules and
a hea ans e luid (HTF), a c oss low sys em in a double HX chambe illed wi h PCM
ubes, and an in e changeable c oss low wi h inned PCM ubes. O e all, ino ganic mol en
sal s and me al-based alloys could be used as PCM a high empe a u es.
All hings conside ed, his pape p oposes a decision-suppo sys em (DSS) o ind
sui able PCMs wo king a high empe a u es. The me hodology was based on a echno-
economic analysis and en i onmen al assessmen o de e mine he po en ial o imp o ing
e iciency, educing en i onmen al impac , and cos sa ings. Di e en indica o s we e
Ene gies 2021,14, 365 3 o 13
selec ed wi h he objec i e o e alua e and cha ac e ise he pe o mance o TES, especially
in he EII in eg a ion. In his sense, a case-s udy conside ing wo di e en ypes and
na u es o PCMs was conside ed, namely, ino ganic mol en sal s and wo di e en me al-
based PCMs we e assessed. As an ul ima e pu pose, he p esen wo k aims a boos ing
and demons a ing he easibili y o PCM-TES sys ems a indus ial scale o eco e ing
was ed ene gy om EIIs and o e coming he cu en lack o in o ma ion, especially a
high empe a u es.
2. Ma e ials and Me hods
2.1. Me hodology o he PCM Feasibili y Tool
The DSS ool aims a e alua ing he easibili y and he eplica ion po en ial o a PCM-
sys em in eg a ion in an EII plan , cen ed on he e o i ing o u naces o imp o ing
hei ene gy e iciency along he alue chain o o he plan s. I is based on a co e algo i hm
implemen ed in MATLAB
®
so wa e c ea ed using co ela ions ob ained om modelling
nume ous s udy cases. The diag am in Figu e 1desc ibes he me hodology s eps ollowed,
s a ing wi h he in oduc ion o he inpu da a om an indus ial plan o he alida ion o
he PCM-TES sys em con igu a ion.
Figu e 1. Diag am o me hodology, inpu s, and ou pu s o he easibili y ool.
Fi s ly, he use willing o ins all a PCM-TES is equi ed o en e he inpu da a o
he plan p ocesses. The mos common was e hea s eams include exhaus gases, la ing
gases, ho ai , o s eam. Addi ionally, i migh be possible eco e ing hea e en om ho oil,
wa e a e e ige a ion p ocesses, and ho was e and p oduc s a e he mal p ocessing.
Typical hea sou ces examples in he EII a e mel ing and hea ing u naces o kilns, boile s,
incine a o s, he mal ea men s, and s eam ne wo ks.
Based on ha , he easibili y ool can choose an app op ia e PCM adap ed o he
plan needs (sea ching in he PCM da abase, which also p o ides in o ma ion ega ding
mel ing empe a u e, cos s, and o he p ope ies). In unc ion o he inpu and he PCM
p ope ies, ele an pa ame e s o he PCM-TES sys em con igu a ion a e calcula ed (mass,
olume, capaci y, cycle pe iod, and in es men o he s o age sys em). Was e ene gy
om he p e iously men ioned sou ces can be eco e ed and eused in ano he plan
p ocess o e en in o he plan s (inc easing he syne gy o indus ial pa ks) o di e en
Ene gies 2021,14, 365 4 o 13
pu poses depending on he hea quali y. The mos common applica ions a e p ehea ing o
combus ion ai o loads be o e en e ing he u nace and o o he ups eam and downs eam
p ocesses (e.g., d ying). In his case, he p ehea ing o combus ion ai o inc ease u nace
e iciency was conside ed.
The ool ou pu s allow analysing he PCM-TES sys em beha iou om an o e all
pe spec i e (mul ic i e ia analysis), including echnical, economic, and en i onmen al
impac s. Se e al key indica o pa ame e s (KPI) we e chosen wi h he pu pose o assessing
he TES. Some o hem we e based on he indica ions o he me hodology p oposed by
IEA ECES-Annex 30 [
12
] bu adap ed o indus ial applica ions. I i esul s in a easible
p ojec acco ding o hose indica o s, an EII plan could implemen he PCM-TES in e-
g a ed in o i s p oduc ion p ocess. In his case, i would be ad isable o moni o he key
indica o s om he PCM-TES ope a ion and pe o mance, hus esul ing in an i e a i e
e o eeding p ocess.
Finally, he esul s coming om he implemen a ion o he sys em in he EII plan
could be in oduced as eedback o he ool o an e ol ing op imisa ion and ine- uning
p ocess. Thus, he co e algo i hm o he ool can be con inuously upda ed wi h his new
inpu da a. In his sense, he ool esul s could be applicable and alida ed in a b oad ange
o indus ies and wo king unde di e en ope a ional condi ions.
2.2. PCM Da abase
The mel ing empe a u e o he PCM mus be app op ia ely selec ed o ake as much
ad an age as possible om he was ed hea . The selec ion o he PCM was made e alua ing
he he mophysical p ope ies o di e en compounds ha accomplish he equi emen o
he applica ion sys em, ha is, mel ing empe a u e, la en hea o usion, densi y, he mal
conduc i i y, cos s, ma e ial composi ion, and comme cial ma u i y [
18
,
19
]. This selec ion
a ec s he he mal capaci y o he sys em, he quali y o hea accumula ed, he empe a u e
o he ou le s eams, and he sizing o he PCM-TES.
When he PCM was chosen, i s echnical p ope ies de ined in he da abase we e
cha ged o pe o m he calcula ions. The cu en da abase includes a lis o comme cially
a ailable PCM [
20
] and o he po en ial ma e ials o wo king a high empe a u es [
21
].
They ha e been classi ied in o ou ca ego ies in unc ion o he composi ion and he
empe a u e ange:
•o ganic PCM a low empe a u e
•ino ganic sal hyd a es a low empe a u e
•ino ganic sal hyd a es and eu ec ics a high and medium empe a u e
•me al alloys PCM a medium and high empe a u e
I is essen ial o men ion ha he majo limi a ion o ino ganic sal s is hei e y low
he mal conduc i i y. Hence, he PCM-TES sys em equi es cha ging/discha ging pe iods
ha a e oo long, and i does no allow one o quickly ans e all hea o he combus ion ai .
On he con a y, a mo e apid cha ging/discha ging pe iod would enhance i s adap abili y
o a wide a ie y o p ocess in eg a ion, inc easing he eplica ion in o he EII sec o s
and he o e all sys em lexibili y. The combus ion ai speed and he HX ans e ence a ea
should be maximised, hence inc easing he con ec ion and he hea ans e coe icien [
22
].
In his ega d, he discha ging pe iod can be educed wi hou comp omising he g ea
anges eached a he combus ion ai ou le . To do so, he in eg a ion o me allic ins [
23
]
and he c ea ion o composi es mixed wi h PCM [
24
] ha e become a majo ocus o he e-
sea che s. O he he mal conduc i i y enhancemen echniques/me hods a e, o example,
he inco po a ion o po ous me allic oam, s uc u es, o ad anced nanoma e ial and he
conside a ion o encapsula ing he PCM ma e ial a mic o o mac o scales [25].
Despi e he low s o ed ene gy a e by mass uni in compa ison wi h ino ganic sal s,
me al alloys a e an a ac i e and up-and-coming al e na i e [
26
], especially a he high-
empe a u e ange, since hey o e in e es ing he mo-physical p ope ies o be used as
PCMs in TES. Fo ins ance, hese compounds usually p esen high alues o he mal con-
duc i i y, which signi ican ly educes mel ing and solidi ica ion pe iods and, subsequen ly,
Ene gies 2021,14, 365 5 o 13
cha ging and discha ging o he sys em. Howe e , he e is a lack o unde s anding o he
impac o me allu gical issues, mainly ela ed o non-desi ed eac ions and issues in he ma-
e ials’ phase- ansi ion beha iou ( apou p essu e, unde cooling, co osion, seg ega ion,
changes in composi ion and mic os uc u e) unde he mal cycling a high empe a u es [
21
].
2.3. Equa ions and Co ela ions
Rega ding PCM sys ems, he hea ans e de ini ion du ing he mel ing and he
solidi ica ion p ocesses is he basic p oblem ha de e mines he sys em e iciency [
27
]. One
o he pa icula i ies in he sizing is he de ini ion o i s la en hea s o age capaci y (
QLHS
),
which is used o size he PCM mass (mPCM) in he sys em acco ding o Equa ion (1):
mPCM =QLHS
H usion
(1)
being he a io o he
QLHS
and he la en hea o usion o he selec ed PCM (
H usion)
. The
PCM-TES size is de e mined by conside ing he hea demand co e ed only by la en hea
(
QLHS
) and by assuming ha he sys em ope a es wi hin he phase- ansi ion ange. Then,
he olume o he PCM needed is calcula ed (
VPCM
) conside ing he s a us phase (solid o
liquid) wi h he lowes densi y.
The cha ging (
CH
) and he discha ging (
DCH
) iming a e calcula ed using
Equa ions (2) and (3), espec i ely:
CH =QLHS
QCH
(2)
DCH =QLHS
QDCH
(3)
conside ing he s o age capaci y o he sys em (
QLHS
) and he hea gene a ed by he
hea sou ce du ing cha ging (
QCH
) o he hea demand o ai p ehea ing applica ion
du ing discha ging (
QDCH
). The cha ge pe iod is conside ed while he empe a u e o
ho lue gases is g ea e han he PCM phase-change empe a u e un il he maximum
s o age capaci y is achie ed. The discha ge pe iod is main ained while he expec ed ou le
empe a u e is eached. Howe e , his calcula ion is heo e ical, hence, o adap i o he
eal pe o mance and he sys em ou pu s, co ec ion ac o s a e needed o include he
in luence o he sys em e iciency and he hea ans e ence o he pa icula PCM-TES
design and con igu a ion used.
The co e algo i hm is based on he ou pu s ob ained om de ailed simula ion s udies
pe o med unde a a ie y o wo king ope a ion condi ions a high empe a u es and using
di e en PCM ma e ials o s o ing he was ed hea in se e al EII. The ob ained esul s
we e analysed and used o eed he ool co e and ind ep esen a i e co ela ions be ween
he PCM-TES pe o mance pa ame e s. Fo mo e in o ma ion, a de ailed example o he
simula ion me hodology and esul s can be ound in Royo, e al. [28].
In his line, and in o de o ob ain he sys em ou pu s, di e en ac o combina ions
we e applied o he PCM-TES con igu a ion, namely:
•Sizing o he PCM-TES (mass and olume)
•Numbe o concen ic ubes inside he shell
•PCM al e na i es as s o age ma e ial
•Was e hea condi ions (composi ion, empe a u e, and mass low o lue gases)
•Wo king ope a ion condi ions ( empe a u e and mass low o combus ion ai )
•EII sec o s wi h p ocesses in he ange om 500 o 1500 ◦C (ce amic and s eel)
Consequen ly, he mos ele an pa ame e s (MRP) o ope a ion a e iden i ied and
analysed unde hose condi ions. To do so, a pa ame ic analysis and a sensi i i y analysis
we e conduc ed. As a esul , he mal conduc i i y, olume, and s o age capaci y o he PCM

Ene gies 2021,14, 365 6 o 13
a ose as he mos in luencing pa ame e s, and hey we e conside ed o he co ela ions
and he co ec ion ac o s.
Then, he ou pu s om he simpli ied compu a ional ool (X, Y) in ol e a close connec-
ion o some echnical and design pa ame e s (PCM mass, sys em olume, empe a u es o
lue gases ou le , empe a u e o he ai s eam ou le , cha ging and discha ging pe iods,
in es men cos s). These ela ionships may be linea , polynomial, loga i hmic, po en ial,
e c. The selec ion o p ope co ela ions consis s o inding a s ong co ela ion, ha is, high
squa ed-co ela ion coe icien (R
2
), and minimising he de ia ion o he ela ionship calcu-
la ed compa ed wi h he de ailed simula ion esul s. An example o a possible co ela ion
is p esen ed in Equa ion (4):
Xi=a·MRPb·xi(4)
whe e aand ba e he co ela ion coe icien s and he MRP. Fo ins ance, in o de o
de e mine he solidi ica ion and he mel ing pe iods, he MRPs chosen we e he sys em
s o age capaci y and he PCM he mal conduc i i y.
O he co ela ions ollow he s uc u e ep esen ed in Equa ion (5):
Yi=ci+ MRPi·di(5)
c
i
and d
i
being coe icien s o he linea equa ion and he MRP
i
applicable o he speci ic “i”
ou pu equa ion. Fo ins ance, his co ela ion ype was applied o calcula e he in es men
cos o he PCM-TES sys em in unc ion o he
VPCM
ha needed o be in oduced in he
PCM-TES and he ope a ing empe a u e om which he hea was going o be eco e ed.
2.4. Mul ic i e ia App oach
A mul ic i e ia app oach was applied o e alua e ene gy, economic, and en i onmen al
sa ings. F om he ene gy pe spec i e, he hea ha was eco e ed and able o be eused
was he mos aluable inpu , along wi h he PCM-TES sys em pe o mance indica o s
de ined in he abo e sec ion. The modelling esul s conside ha he hea sou ces we e
a ailable o ull cha ging o discha ging o he PCM-TES sys em.
In he economic assessmen , he echno-economic indica o s and cos s incu ed o a
u nace including a PCM-TES sys em we e calcula ed o he iabili y assessmen . Namely,
he ne sa ings (k
€
/y ) we e conside ed o calcula e he ne sa ings, simila o a ne p esen
alue (NPV) wi h no in e es a e, and he a io
€
sa ed/
€
in es ed p esen s an es ima ion
o he p o i abili y o he PCM-TES as WHR s a egy. The in es men cos o he PCM-TES
sys em was calcula ed conside ing bo h he cos s o he s o age co e ma e ial ( he PCM
i sel ) and he cos s o he s o age sys em in as uc u e. This cos ollowed he linea
co ela ion in Equa ion (5) as a ixed cos (c
i
) in addi ion o a a io in unc ion o he
PCM olume o be s o ed (
VPCM
) as one o he MRP. This a io (d
i
) was highe when he
ope a ional empe a u e o he lue gases and he PCM mel ing empe a u e we e a e y
high le els (>700
◦
C), since he ma e ial cos s ise conside ably. Wi h his in o ma ion,
i was also possible o calcula e he la en s o age capaci y cos (
€
/kWh) o he di e en
PCM-TES sys ems analysed as he a io o he o al in es men cos s o a sys em and
he o al amoun o he mal ene gy [kWh] ha his sys em s o es and eco e s du ing
i s li e ime.
Du ing cha ging, he e was no any sa ing in compa ison o he ini ial ope a ing mode
o he u nace. Howe e , signi ican ossil uel sa ings (NG
sa ed
in economic e ms) we e
ob ained annually when he PCM-TES sys em discha ged he accumula ed hea acco ding
o Equa ion (6).
NGsa ed =Esa ed ·nºcycles·ndays ·LHVNG ·ρNG ·cNG (6)
E
sa ed
being he ene gy sa ed pe one cycle o ope a ion, n
ºcycles
he numbe o daily cycles
ha he PCM-TES could pe o m as maximum depending on he discha ge+cha ge pe iods,
and n
days
is he numbe o wo king days conside ed pe yea (260 days). The conside a-
Ene gies 2021,14, 365 7 o 13
ions assumed o he na u al gas (NG) a e: lowe hea ing alue (LHV) = 15.75 kWh/kg;
densi y (
ρNG
) = 0.743 kg/Nm
3
, and p ice (
cNG
) = 0.052
€
/kWh [
29
] o non-household con-
sume s wi hin he Eu opean Union. Besides, he dep ecia ion cos o he PCM-TES sys em
a ibu able o each yea o ope a ion, a li espan o 20 yea s, was conside ed. Finally, he
global wa ming indica o was selec ed as he mos ele an en i onmen al indica o due o
he aising awa eness o clima e change. The emission ac o s belonging o ReCiPe me hod
e alua ed wi h SIMAPRO
®
so wa e we e used o calcula e he equi alen CO
2
emissions.
3. Resul s o a S udy-Case
3.1. S udy-Case Desc ip ion
The PCM-TES con igu a ion unde s udy (mo e design de ails in e e ence [
28
]) o e s
se e al oppo uni ies o in eg a ion in an indus ial plan . In he p esen applica ion,
he sys em is loca ed close o he mel ing u nace o eco e hea om he exhaus gases
a e combus ion. The hea s o age could se e o many pu poses, such as p ehea ing
he combus ion ai going o he u nace inle , inc easing he load empe a u e, and d ying
p ocesses, among many o he ups eam and downs eam p ocesses. In his case, he main
objec i e o he PCM con igu a ion was p ehea ing he combus ion ai o imp o e he
e iciency o he o e all hea ing p ocess.
The ool was ed by he pa ame e s illus a ed in Table 1, conside ing hose as ep-
esen a i e da a o an EII indus y. Fo he p esen design, he wo s eam- lows (was e
gases and ai ) ci cula ed sepa a ely, a oiding undesi able mixing o con aminan and
ouling compounds, e y common, o example, in exhaus gases om ce amic plan s. As a
concep ual idea and p elimina y calcula ion pu poses, i was assumed he PCM sys em
could elease a cons an combus ion ai empe a u e. Mo eo e , negligible ans e ence
losses in PCM solu ion we e conside ed.
Table 1. Pa ame e s o he hea - eco e y and phase-change ma e ial (PCM) solu ion con igu a ion.
Inpu s Value Ou pu s Value
Flue gases low en e ing o PCM solu ion (Nm3/h) 1800 Ho combus ion ai o he PCM solu ion (Nm3/h) 1800
Tempe a u e o lue gases en e ing PCM solu ion (◦C) 1000 Tempe a u e o combus ion ai en e ing PCM solu ion (◦C) 25
Ra io o lue gas low o he PCM solu ion (% o gas s eam)
90
Desi ed empe a u e o combus ion ai lea ing PCM solu ion (
◦
C)
600
3.2. Selec ed PCM Al e na i es as S o age Ma e ial
The eby, a PCM wi h a phase-change empe a u e o e 600
◦
C was selec ed as he
co e ma e ial o he TES sys em o achie e he desi ed empe a u e speci ied in
Table 1
.
In addi ion, he selec ed PCMs should (i) abso b/ elease conside able ene gy du ing
mel ing/solidi ica ion, espec i ely; (ii) p esen well-de ined and s able phase change
empe a u e; (iii) a oid supe cooling; (i ) be s able o e eeze/mel cycles; ( ) be non-
haza dous and non-co osi e; and ( i) be p o i able o he applica ion [28].
He ea e , i is p esen ed a selec ion and an assessmen o ou di e en PCMs as
po en ial hea eco e y and s o age ma e ials wi hin he desi ed ange. Two ino ganic
hyd a ed sal s and wo me als, whose p ope ies a e ga he ed in Table 2, we e chosen as
al e na i es. The pa ame ic analysis allows compa ing he pe o mance o ypes o PCM,
e y di e en in na u e, composi ion, cos s, and he mo-physical p ope ies, in ol ing
adap abili y o hea ing and p oduc ion p ocesses.
As men ioned in Sec ion 2.2, he DSS ool includes a PCM da abase wi h hei espec-
i e p ope ies and cos s acco ding o manu ac u e s and p o ide s ha could go up o
25
€
/kg. In he compa ison, di e en al e na i es we e selec ed o wo k as me al alloys
and ino ganic sal s; om he a ailable op ion a he empe a u e ange o ope a ion o he
s udy case, he mos cos -e ec i e op ions we e chosen. A his poin , i was impo an o
choose an a o dable op ion by sligh ly a ying he selec ion o he phase-change ange
o ind a sui able op ion wi hou s ongly a ec ing he sys em pe o mance, esul ing in a
mo e economic sys em. A p esen , he wide a ailabili y o ino ganic sal s allows selec ing
mo e cos -e icien ma e ials.
Ene gies 2021,14, 365 8 o 13
Table 2. Main p ope ies o he PCM selec ed o he pa ame ic analysis. Da a om [20,21,30].
PCM Type Composi ion Mel ing
Poin (◦C)
La en Hea
(kJ/kg)
Densi y
(kg/m3)
The mal Conduc i i y
(W/m K)
Cos
(€/kg)
Mg Comme cial pu i y 648 365 1740 157 2.5
Al Comme cial pu i y 661 388 2700 236 2.3
Hyd a ed sal
(HS1) Na2CO3640 338 2380 0.559 0.25
Hyd a ed sal
(HS2) Na2CO3+ K2CO3+ Li2CO3687 300 2450 0.557 0.25
3.3. PCM-TES Sizing and MRP Pe o mance
The ool is capable o de e mining he mos ele an sizing pa ame e s acco ding o
he me hodology p e iously p esen ed, aking in o accoun he mo-physical and economic
p ope ies o he selec ed PCMs shown in Table 2. The pa ame e s we e calcula ed conside -
ing size speci ica ions de ailed in he sec ion abo e based on a shell-and- ube con igu a ion
wi h he PCM encapsula ed in double concen ic ubes and o ul il an ene gy demand o
393 kWh/h by he PCM-TES.
In Table 3, he pa ame ic analysis esul s ega ding design, cos , and pe o mance
o he applica ion o a PCM-TES equipmen o eco e and s o e a e p esen ed and we e
conduc ed by he p e- easibili y and eplica ion ool.
Table 3. Main design, pe o mance, and cos s pa ame e s om he pa ame ic analysis.
Design Pa ame e PCM-Mg PCM-Al PCM-HS1 PCM-HS2
Mass o PCM (kg) 3877 3647 4186 4716
Volume o PCM (m3)2.23 1.35 1.76 1.93
Cos o he PCM (€) 9691 8388 1047 1179
Discha ging+cha ging cycle (h) 0.07 0.06 7.5 8.4
Discha ging/cha ging a io 0.21 0.19 0.27 0.22
nºcycles—Daily cycles (cycles/day) 303 407 3.20 2.85
P ehea ed combus ion ai empe a u e (◦C) 589 601 582 625
Esa ed—Ene gy sa ed (MJ/cycle) 17.8 12.7 2079 2114
I was obse ed ha me als and alloys equi ed less mass due o i s high s o age
capaci y. The esul ing PCM olumes we e all be ween 1.35 and 2.23 m
3
; he aluminium
p esen ed he lowes olume due o i s high densi y, which would in ol e much mo e
compac PCM-TES sys em (60% olume educ ion). This ac would allow a educ ion
in cos s, while mo e signi ican olumes a e usually ela ed o highe cons uc ion and
ma e ial cos in es men . Rega ding he PCM cos s, he me al alloys a e much mo e
expensi e han he hyd a ed sal s ma e ials.
Con e sely, he hyd a ed sal s equi ed much longe cha ging and discha ging s ages
(app oxima ely 5–10 h pe cycle) o co e he ene gy demand in his case s udy. The
maximum cycles ha he PCM-TES sys em could unde go e e y day we e e y g a ed
due o he sho pe iods in which he me al alloys we e in ol ed, mainly hanks o hese
ma e ials’ g ea he mal conduc i i y. Ano he pa ame e was he a io be ween he
discha ging and he cha ging ime as a ep esen a ion o how long he PCM bene i s could
las , he hyd a ed sal s showing an o e all highe a io. Thus, he cycle ime and he
combus ion ai empe a u e achie ed a he PCM-TES sys em’s ou le (which depended
on he mel ing empe a u e o he selec ed PCM) s ongly in luenced he ene gy sa ed
pe cycle and day. The ene gy sa ed pe cycle was much highe in he hyd a ed sal s,
while he PCMs based on me al and alloys could cha ge and discha ge as amoun s o
hea in sho pe iods. Thus, he possible numbe o cycles pe o med pe day was o e
300 imes. This p ope y is also ela ed o he sys ems’ lexibili y po en ial, being mo e
adap a i e in he me allic PCMs. In his sense, he ype o PCM should be adequa ely
Ene gies 2021,14, 365 9 o 13
chosen o adap he discha ging and cha ging cycle ex ension in unc ion o he p oduc ion
p ocesses, conside ing i hey a e in e mi en , con inuous, o pe ba ches [31].
3.4. Mul ic i e ia and KPI Assessmen
Based on he p e ious esul s, ele an KPI a e calcula ed in Table 4 om echnical
(ene gy and uel sa ings), economic (cos in es men s and sa ings), and en i onmen al
(e alua ion o PCM by means o i s na u e and he na u al gas sa ed) pe spec i es.
Table 4. Key indica o pa ame e (KPI) e alua ion esul s.
KPI Resul s PCM-Mg PCM-Al PCM-HS1 PCM-HS2
Ene gy sa ed (MWh/y ) 389 373 480 435
Ne economic sa ing (k€/y ) 20.2 19.4 25.0 22.6
La en s o age capaci y cos (€/MWh) 28.0 20.1 18.1 21.4
NGsa ed / In es men cos (€/€) 1.86 2.59 2.88 2.43
To al en i onmen al impac o PCM ( CO
2
eq)
138 97 9 11
En i onmen al impac NG sa ed ( CO
2
eq/y )
−88 −86 −116 −105
Gi en ha he e is no a ia ion in he u nace p ocess as a esul o he inco po a ion
o PCM-TES, all he abo e scena ios p esen he same ene gy demand. The e o e, he
highe he combus ion ai empe a u e was, he sho e he PCM cha ging pe iod was,
consequen ly lowe ing he na u al gas ha mus be consumed in he mel ing p ocess. In his
sense, PCM-HS1 was he ma e ial able o sa e mo e ene gy in he p esen ed case. E en
hough he o he PCMs could p ehea he combus ion ai up o g ea e empe a u es, i had
he highes discha ging/cha ging a io (0.27), and his compensa ed he ai empe a u e
di e ence. A he opposi e end o he spec um, he lowes ene gy-sa ing ook place
when PCM-Al was selec ed. Despi e i s excellen he mophysical p ope ies as PCM, he
pe o mance was less ad an ageous, mainly due o i s low a io be ween discha ging and
cha ging pe iods (0.19).
F om he economic iewpoin , he wo ac o s which de e mine he new economic
sa ings a e he educ ion in NG consump ion and he PCM-TES in es men cos . Unde
his app oach, using me als as PCM is abou 10 imes mo e expensi e han using sal
hyd a es. Despi e achie ing mo e ene gy sa ings, he ini ial in es men o a PCM-Mg
sys em migh no compensa e o he ope a ional cos sa ings and, consequen ly, his
con igu a ion p esen s he lowes ne economic sa ings. On he o he hand, he mos
sui able op ion om he economic pe spec i e is he use o PCM-HS1, al e na i e wi h he
lowes in es men cos (a ound 1000
€
). Besides, i p o ides he g ea es na u al gas sa ings
(480 MWh/y and 25 k
€
/y ). In line wi h he abo e, he a ion ela ing
€
NG sa ed du ing
he PCM-TES li espan pe
€
o in es men is be e when PCM-HS1 is chosen as s o age
ma e ial (2.88
€
/
€
), ollowed by he use o PCM-Al. Simila ly, ega ding he la en s o age
capaci y cos , hyd a ed sal s showed good esul s, HS1 being he lowes wi h 18
€
/MWh
and he aluminium me al PCM wi h a alue nea ly o 20
€
/MWh. O e all, he in es men
cos o he in as uc u e needed o manu ac u e he PCM-TES sys ems e alua ed in he
p esen wo k had an es ima ed in es men cos in he ange be ween 140 and 210 k€.
I he compa ison is made om an en i onmen al pe spec i e compa ing he en i-
onmen al impac associa ed wi h each PCM ( alues on he igh in Figu e 2), PCM-Mg
p oduc ion has he highes ca bon oo p in (138 CO
2
eq.), ollowed by he emissions
incu ed in he p oduc ion o PMC-Al (97 CO
2
eq.). In ac , he GHG emissions o his
ma e ial a e up o 14 imes g ea e han he hyd a ed sal p oduc ion (abou 10 CO
2
eq.).
These alues we e calcula ed conside ing he impac o manu ac u ing and he amoun
o PCM equi ed acco ding o he di e en PCM-TES con igu a ion (based on hei la en
hea s o age capaci y).