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Cooling heritage scenarios: transforming historic squares for thermal comfort

Abstract

Urban squares in historic neighborhoods are vital public spaces, often the only nearby option available for an aging population. However, these spaces face increasing thermal discomfort exacerbated by urban heat island (UHI) effects. This research focuses on improving thermal comfort for two case studies located in Seville’s high-density and historically rich Casco Antiguo neighborhood. Although their significance and social value make them central meeting points for locals and visitors, these squares face major challenges regarding thermal comfort, mainly due to a lack of greenery or adequate shading. This study examines the conditions by conducting in-person monitoring and simulations, identifying factors contributing to discomfort. On the basis of this, the research proposes mitigation strategies to address these issues. These solutions include the installation of green walls, the addition of canopies, and the application of specific surface materials to improve the conditions of these squares. Canopies provided the most significant cooling, reducing universal thermal climate index (UTCI) values by up to 6.5 °C. Green walls delivered localized cooling, lowering the mean radiant temperature (MRT) by up to 5 °C. The results reveal how these approaches can bring about changes in thermal comfort in a way that benefits historic city environments.

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Cooling heritage scenarios: transforming historic squares for thermal comfort

Author: Rezaie, Pegah; López Cabeza, Victoria Patricia; Sola Caraballo, Javier de; Galán-Marín, Carmen
Publisher: MDPI
Year: 2025
DOI: 10.3390/buildings15040564
Source: https://idus.us.es/bitstreams/cc8687d1-372c-481d-9cc3-53e31253580a/download
Academic Edi o : Elena Lucchi
Recei ed: 8 Janua y 2025
Re ised: 7 Feb ua y 2025
Accep ed: 8 Feb ua y 2025
Published: 12 Feb ua y 2025
Ci a ion: Rezaie, P.; Lopez-Cabeza,
V.P.; Sola-Ca aballo, J.; Galan-Ma in, C.
Cooling He i age Scena ios:
T ans o ming His o ic Squa es o
The mal Com o . Buildings 2025,15,
564. h ps://doi.o g/10.3390/
buildings15040564
Copy igh : © 2025 by he au ho s.
Licensee MDPI, Basel, Swi ze land.
This a icle is an open access a icle
dis ibu ed unde he e ms and
condi 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/).
A icle
Cooling He i age Scena ios: T ans o ming His o ic Squa es o
The mal Com o
Pegah Rezaie 1, Vic o ia Pa icia Lopez-Cabeza 2, Ja ie Sola-Ca aballo 1,3 and Ca men Galan-Ma in 1,3,*
1Depa amen o de Cons ucciones A qui ec ónicas I, Escuela Técnica Supe io de A qui ec u a,
Uni e sidad de Se illa, 41012 Se ille, Spain; [email p o ec ed] (P.R.); [email p o ec ed] (J.S.-C.)
2Cen o de In es igación en Tecnología, Ene gía y Sos enibilidad, Uni e sidad de Huel a,
21810 Huel a, Spain; [email p o ec ed]
3Ins i u o Uni e si a io de A qui ec u a y Ciencias de la Cons ucción, Uni e sidad de Se illa,
41012 Se ille, Spain
*Co espondence: [email p o ec ed]
Abs ac : U ban squa es in his o ic neighbo hoods a e i al public spaces, o en he only
nea by op ion a ailable o an aging popula ion. Howe e , hese spaces ace inc easing
he mal discom o exace ba ed by u ban hea island (UHI) e ec s. This esea ch ocuses
on imp o ing he mal com o o wo case s udies loca ed in Se ille’s high-densi y and
his o ically ich Casco An iguo neighbo hood. Al hough hei signi icance and social
alue make hem cen al mee ing poin s o locals and isi o s, hese squa es ace majo
challenges ega ding he mal com o , mainly due o a lack o g eene y o adequa e shading.
This s udy examines he condi ions by conduc ing in-pe son moni o ing and simula ions,
iden i ying ac o s con ibu ing o discom o . On he basis o his, he esea ch p oposes
mi iga ion s a egies o add ess hese issues. These solu ions include he ins alla ion o
g een walls, he addi ion o canopies, and he applica ion o speci ic su ace ma e ials o
imp o e he condi ions o hese squa es. Canopies p o ided he mos signi ican cooling,
educing uni e sal he mal clima e index (UTCI) alues by up o 6.5
◦
C. G een walls
deli e ed localized cooling, lowe ing he mean adian empe a u e (MRT) by up o 5
◦
C.
The esul s e eal how hese app oaches can b ing abou changes in he mal com o in a
way ha bene i s his o ic ci y en i onmen s.
Keywo ds: he mal com o ; he i age conse a ion; his o ic neighbo hoods; mi iga ion
s a egies; u ban hea island (UHI); u ban in e en ion; ENVI-me simula ion
1. In oduc ion
The expansion o u ban a eas, ueled by he ising mig a ion o indi iduals o ci ies,
cu en ly home o hal he global popula ion, is o ecas o con inue in he coming yea s.
A he beginning o he 21s cen u y, u baniza ion has sped up no ably as o e hal o
he popula ion cu en ly li es in ci ies; his igu e is expec ed o inc ease o a ound 60%
by 2030 [
1
]. The clus e ing o popula ions in u ban a eas ampli ies he u ban hea island
(UHI) e ec [
2
], which becomes mo e p onounced wi h inc easing popula ion densi y and
en i onmen al changes [3–5].
The de elopmen and ope a ion o u ban a eas play a c ucial ole in shaping he o e all
well-being o ci izens [
6
]. Acco ding o esea ch, a e age empe a u es in u ban cen e s
wo ldwide could ise by 1.4–4.8
◦
C by he end o he 21s cen u y [
7
]. Consequen ly, ci ies
a e becoming inc easingly ulne able o he e ec s o u baniza ion and clima e change,
which include ele a ed empe a u es and concen a ed pollu ion. As he popula ion
Buildings 2025,15, 564 h ps://doi.o g/10.3390/buildings15040564
Buildings 2025,15, 564 2 o 27
g ows and he p opo ion o open a eas in he ci ies dec eases, especially in ci y cen e s,
he e is a g owing demand o high-quali y ou doo a eas o e ing heal hy ec ea ional
ameni ies [
8
]. These spaces play a c ucial ole in enhancing he li abili y and ib ancy o
u ban en i onmen s. Encou aging inc eased use o ou doo spaces can yield subs an ial
bene i s o he physical, en i onmen al, economic, and social aspec s o ci ies [9].
Ou doo he mal com o measu es he pe cep ion ha exp esses sa is ac ion wi h
he su ounding ou doo he mal en i onmen . This is in luenced by a numbe o ac o s,
including ai empe a u e (AT), ela i e humidi y (RH), wind speed (WS), sola adia ion,
and he p esence o shading o g eene y [
10
]. In addi ion o he clima ic a iables, u ban
design elemen s such as building shape [
11
], ma e ials [
12
], and ege a ion [
13
] in luence
ou doo he mal com o [
14
]. Howe e , he eeling o com o di e s among indi iduals,
as i is in luenced by pe sonal a iables such as how people a e eeling on a gi en day
o hei cul u al and social backg ound [
15
]. Ne e heless, in his case, clima e akes
he lead in shaping he le el o heal h and sa is ac ion humans eel in ela ion o hei
su ounding en i onmen [
16
,
17
]. Human biome eo ology esea ch is hea ily dependen
on an unde s anding o how clima e impac s human he mal com o , well-being, and
men al pe o mance [18].
The uni e sal he mal clima e index (UTCI) eam’s mul idisciplina y app oach [
19
]
was a signi ican depa u e om pas e o s o unde s and he mal indices—o en isola ed
endea o s. Collabo a i e esea ch was os e ed by in eg a ing insigh s om a ious ields,
leading o a uni e sal solu ion o assessing human he mal en i onmen s. This p ojec ,
housed wi hin an In e na ional Socie y o Biome eo ology Commission and a Eu opean
COST Ac ion, es ablished an in e na ional amewo k o s anda dizing he UTCI as a
clima ic index [
19
]. UTCI applies ad anced modeling echniques o e alua e ou doo
he mal condi ions, simula ing physiological esponses o he human body, aking in o
conside a ion ac o s such as clo hing and en i onmen al elemen s such as humidi y,
adia ion, and wind [
20
]. The ope a ional p ocedu e, a ailable as so wa e on he UTCI
websi e [
21
], demons a es c edible assessmen s o he mal condi ions in ho and cold
en i onmen s, aligning closely wi h exis ing s anda ds [22–24].
U ban a eas expe ience no able luc ua ions in he mal com o due o changes in he
adia ion balance, wind low, he layou o buildings [
25
], and u ban ea u es [
26
] such as
ege a ion [
27
]. These a ia ions c ea e mic oclima e scena ios o e pe iods ha impac
how people pe cei e local he mal com o [
28
]. G een and open spaces play a ole in
enhancing en i onmen s and c ea ing a ac i e ci y landscapes [
29
–
31
]. Since he 1980s,
g owing conce ns abou esiden s’ well-being ha e p omp ed an inc ease in esea ch in o
he com o o people in u ban spaces such as pa ks and squa es [
32
]. This end has led o
s udies ocusing on c ea ing mic oclima es o imp o e he com o o pedes ians [33]. As
isi o s a e mo e likely o use u ban spaces when hey a e com o able, ou doo he mal
com o plays a c ucial ole in how hese loca ions a e u ilized [34].
Se e al me hods ha e been used in p e ious s udies o mi iga e he impac o hea
in u ban a eas, imp o ing he mal com o [
35
–
37
]. These me hods could be classi ied by
s a egy [
38
], wi h he mos common and success ul being: 1. he modi ica ion o su ace
p ope ies o inc ease e lec ion and educe hea s o age [
39
,
40
]; 2. he p o ision o shade
o dec ease sola adia ion abso p ion [
39
]; 3. he use o g een s uc u es o inc ease RH
while educing AT; 4. he enhancemen o u ban ai low [
41
]; and 5. he u iliza ion o ac i e
cooling echniques such as wa e and g ound cooling [
39
,
42
]. Nume ous examples can
be ound in he li e a u e on he e ec i eness o hese s a egies, ei he indi idually o
in combina ion.
The concep o albedo, ep esen ing he p opo ion o sola adia ion e lec ed by
a su ace compa ed o he o al amoun ecei ed, signi ican ly in luences he he mal
Buildings 2025,15, 564 3 o 27
p ope ies o g ound su aces and he UHI e ec [
43
]. The e ec i eness o supe cool
ma e ials depends on ac o s such as hea capaci y, he po en ial amoun o hea s o ed;
sola e lec ance, he amoun o sunligh e lec ed; hea ans e a es, he speed a which
hea mo es h ough hese; su ace oughness; and pe meabili y, showing how easily wa e
can pass h ough hese ma e ials. Al hough high-albedo ma e ial is an ex emely p omising
s a egy, some s udies sugges i can ha m he mal com o as a esul o an inc eased mean
adian empe a u e (MRT) [
44
]. In o de o achie e he highes he mal com o possible,
albedo mus be op imized o each case.
Fu he mo e, he e ec o adding ege a ion is wo- old: i o e s shade-blocking di ec
sola adia ion, while g een e apo anspi a ion educes AT. G een s uc u es play a c ucial
ole in mi iga ing he mal condi ions. S udies indica e ha su aces co e ed wi h g eene y
expe ience coole empe a u es han su aces made o a i icial ma e ials such as conc e e
and asphal [
39
], e en i he albedo alues a e simila . Con e sely, ees can se e as
ba ie s agains wind cu en s, po en ially hinde ing hea dissipa ion [
45
]. Complemen a y
o ege a ion, a i icial canopies such as sun sails o o he ex ile memb anes help educe
sola adia ion wi hou inc easing RH o excessi ely hinde ing wind low [4,46].
While u ban geome y can in luence how hea mo es h ough a eas because o adia-
ion and con ec ion p ocedu es, design esul s a e c ucial o de e mining he wind low
eloci y and di ec ion [
47
]. Wa e bodies and i iga ions can use ully help o cool spaces
h ough e apo a ion and hei high hea capaci y. Al hough he cooling e ec s o bodies o
wa e depend on aspec s such as size, shape, posi ion, wind pa e ns, and nea by buildings
and s uc u es, in gene al, he li e a u e no es a conside able po en ial AT educ ion [
38
].
Howe e , hese lead o a was e o a high olume o wa e , which could be de imen al in
d y egions.
The e alua ion o he mi iga ing capaci y o some o he s a egies abo e has been
add essed p e iously [
38
]. Some o hese expe imen al s udies measu e he e ec s o he
applica ion o speci ic echniques. Va ious s udies ha e ocused on [
48
] ma e ials and
hei p ope ies, demons a ing he g ea po en ial o he use o cooling ma e ials [
49
] and
esul ing in educ ions in su ace empe a u e (ST) o up o 10
◦
C. Fu he mo e, o he
expe imen s [
50
] ha e been conduc ed by combining s a egies in de ined spaces, also
p o iding p omising esul s wi h educ ions o up o 11 ◦C in ansi ional spaces. Despi e
he pa icula di icul ies p esen ed by he e alua ion o ma e ials in la ge u ban spaces,
success ul examples can be ound in o he s udies [
51
], whe e a conside able educ ion in
empe a u e (4 ◦C) is obse ed in expe imen al u ban spaces.
The di icul ies men ioned abo e ha e con ibu ed o he inc eased ele ance o com-
pu a ional simula ions. Compu a ional Fluid Dynamics (CFD) p og ams such as ENVI-
me [
51
] acili a e simula ed expe imen a ion based on scien i ic da a, in u n educing
cos s. Nume ous s udies ha e e alua ed a ious mi iga ion s a egies (MS) using ENVI-
me simula ions [
38
]. In some cases, heo e ical possible scena ios explici ly designed
o expe imen a ion ha e been e alua ed [
52
,
53
]. Howe e , o he e alua ions examined
eal case s udies [
54
], inc easing he di ec con ex ual applicabili y o esul s. This has
esul ed in a UTCI educ ion o 6
◦
C in u ban pa ks hanks o he use o g eene y. In o he
s udies ocused on his o ical-he i age a eas [
55
,
56
], mi iga ion scena ios ha e been es ed
and e alua ed in complex a eas, albei on a la ge scale, wi hou a pa icula ly de ailed
examina ion o ep esen a i e small spaces wi hin he his o ic cen e s udied.
In con as , ecen s udies ha e ocused on he use o inno a i e ma e ials wi h g ea
cooling po en ial, including acade ma e ials, making hem doubly bene icial. San amou is
and Yun [
57
] emphasize he po en ial o inno a i e ma e ials, such as pho onic, he -
moch omic, and PCM-doped su aces, in mi iga ing UHI e ec s. Thei esea ch con i ms
Buildings 2025,15, 564 4 o 27
ha hese ma e ials can subs an ially educe he ST, occasionally achie ing sub-ambien
le els and lowe empe a u es han con en ional ma e ials.
Howe e , he p o ec ion o he u ban ab ic and con igu a ion in his o ic ci ies is a
c ucial aspec o u ban planning and he i age conse a ion, as seen in p e ious esea ch [
58
].
I in ol es p ese ing he unique spa ial s uc u es, a chi ec u al s yles, and cul u al
signi icance o his o ic a eas while aking in o accoun mode n de elopmen needs, as
highligh ed in s udies on adi ional u banism and housing [
59
,
60
]. These wo ks illus a e
how adi ional a chi ec u al solu ions align wi h local en i onmen al condi ions while
p ese ing cul u al iden i y. This p inciple is essen ial when de eloping clima e- esponsi e
s a egies o his o ic u ban squa es. The e alua ion o he mal com o in hese sca ce
communal spaces goes beyond me e luxu y and can be conside ed indispensable when
os e ing an en i onmen conduci e o social ga he ings and communi y in e ac ions, gi en
he impo ance o hese squa es o he well-being o ci izens.
Se ille, a ci y in he sou h o Spain, is amous o i s his o ic cen e . The Casco An iguo,
o Old Town, o Se ille is one o he la ges in Eu ope, co e ing app oxima ely 4 squa e
kilome e s. Known o i s well-p ese ed a chi ec u e and ib an cul u al he i age, Old
Town is a la ge, sp awling his o ic a ea. The ci y o Se ille, known o ha ing some o he
highes empe a u es no only in Spain bu also in Eu ope [
61
], has been selec ed o de elop
a me hodology o assessing he mal com o in his o ic squa es based on de ailed analysis.
A p e ious s udy [
61
] has ound ha Se ille’s Old Town is coole han he pe iphe y du ing
he day. Howe e , due o i s high densi y, i is mo e p one o su e om he UHI e ec
a nigh . This is why, due o i s high densi y, u ban hea mi iga ion in e en ions a e
di icul o unde ake. Expansion and elaxa ion spaces, such as squa es, o e he mos
oppo uni ies o public space imp o emen .
This analysis p o ides a ho ough assessmen o a ious ac o s in luencing com o
le els. Nume ical simula ions, conduc ed using ENVI-me so wa e, play a signi ican ole
in his app aisal, ocusing on unde s anding he e ec on he mal com o o ac o s such
as he AT, RH, WS, and MRT in he squa es. This a icle u he explo es he mul i ace ed
aspec s o he mal com o assessmen in inc easing hea condi ions a ec ing his o ic ci y
squa es. I ollows a comp ehensi e app oach ha in eg a es empi ical analyses, simula ion
echniques, and inno a i e solu ions. These a e applied in a his o ic he i age ci y cen e ,
whe e he cha ac e is ic u ban ab ic, he dila a ions in he o m o small squa es, and
he adi ional cons uc ion sys em play a c ucial ole in he he mal pe o mance and
pe cep ion o social space. The in e en ions mus , he e o e, ake hese p oblema ic
conside a ions in o accoun .
Thus, he esea ch is s uc u ed as ollows: an ini ial me hodology is p esen ed, which
includes he case s udy desc ip ion, he ield measu emen s, and he se up o he ENVI-me
simula ion o he a ious scena ios. The esul s a e hen o ganized by scena ios wi hin
each speci ic case s udy be o e being discussed om a ious pe spec i es and p esen ing
he inal conclusions.
2. Ma e ials and Me hods
This s udy p oposes MSs o he ypical u ban squa es loca ed in a his o ic ci y such
as Se ille in o de o imp o e use s’ he mal com o unde ex emely ho condi ions.
The
wo case
s udies selec ed in Se ille ha e been moni o ed o calib a e he simula ion
so wa e, modeling di e en s a egies in o de o p opose he op imal s a egy. The
ollowing me hodological low has been summa ized in Figu e 1.
Buildings 2025,15, 564 5 o 27
Buildings 2025, 15, 564 5 o 30
Figu e 1. Me hodology lowcha .
2.1. Resea ch Philosophy and S a egy
This s udy adop s a p agma ic esea ch philosophy, ocusing on eal-wo ld applica-
ions and he in eg a ion o quan i a i e da a (e.g., eco ded clima ic da a and ENVI-me
simula ions) in o de o p opose speci ic MSs o he mal com o wi h quan i a i e e-
sul s. The case s udy app oach selec ed aimed o emphasize wo ep esen a i e his o ic
squa es in Se ille. I includes a de ailed examina ion o he mic oclima ic condi ions and
he impac o p oposed in e en ions wi hin he s udy a ea’s unique his o ical and cul-
u al con ex s. The esea ch employs a mixed-me hod app oach, combining obse a ional
da a, nume ical simula ion, and a compa a i e analysis o baseline and mi iga ed scena -
ios. Based on his combina ion, a comp ehensi e unde s anding o he mal beha io and
he effec i eness o he s a egies p oposed can be gua an eed.
2.2. Time Ho izon, Da a Collec ion Techniques, and Analysis Tools
This s udy, which ocuses on wa m clima es, examines he ini ial da a, simula ions,
and esul s o a ep esen a i e summe day (23 July 2023) in o de o cap u e peak he -
mal condi ions, p o iding a snapsho o he ex eme hea impac in he case s udy a eas.
Clima e da a we e collec ed om official me eo ological eco ds, while on-si e measu e-
men s wi h calib a ed ins umen s we e used o calib a e he simula ion p ocess. S a is i-
cal alida ion me ics, including calcula ed s a is ical e o s, we e employed o e alua e
he accu acy and eliabili y o he simula ion esul s. The da a analysis inco po a es ENVI-
me so wa e o simula e mic oclima ic condi ions unde baseline and o p opose mi iga-
ion scena ios.
2.3. Case S udies
Loca ed in Spain a 37.3891° N, 5.9845° W, wi h an a e age ele a ion o 6 m abo e
sea le el, Se ille co e s 141.28 km2. I is cha ac e ized by a Medi e anean clima e wi h
ho , d y summe s and mild win e s. The a e age annual empe a u e is app oxima ely 19
°C, al hough summe highs equen ly exceed 35 °C (104 days in 2023), and on mul iple
occasions each yea , empe a u es emain abo e 40 °C o se e al consecu i e days [62].
Acco ding o a p e ious s udy and classi ica ion [61], Se ille has nume ous high-
densi y esiden ial neighbo hoods. The mos p ominen o hese, Casco An iguo, se es
as he his o ic cen e o Se ille. Casco An iguo is s ill densely popula ed and cha ac e ized
by na ow s ee s and adi ional a chi ec u e, consis ing o a mix o esiden ial buildings,
shops, and ou is a ac ions. E en hough la ge g een spaces a e conspicuously absen ,
se e al small ha d-pa ed squa es ound in he a ea se e as ga he ing spo s o esiden s
and isi o s. The s udy o hese spaces is pa icula ly impo an o imp o ing he mal
Figu e 1. Me hodology lowcha .
2.1. Resea ch Philosophy and S a egy
This s udy adop s a p agma ic esea ch philosophy, ocusing on eal-wo ld applica-
ions and he in eg a ion o quan i a i e da a (e.g., eco ded clima ic da a and ENVI-me
simula ions) in o de o p opose speci ic MSs o he mal com o wi h quan i a i e esul s.
The case s udy app oach selec ed aimed o emphasize wo ep esen a i e his o ic squa es
in Se ille. I includes a de ailed examina ion o he mic oclima ic condi ions and he impac
o p oposed in e en ions wi hin he s udy a ea’s unique his o ical and cul u al con ex s.
The esea ch employs a mixed-me hod app oach, combining obse a ional da a, nume ical
simula ion, and a compa a i e analysis o baseline and mi iga ed scena ios. Based on his
combina ion, a comp ehensi e unde s anding o he mal beha io and he e ec i eness o
he s a egies p oposed can be gua an eed.
2.2. Time Ho izon, Da a Collec ion Techniques, and Analysis Tools
This s udy, which ocuses on wa m clima es, examines he ini ial da a, simula ions,
and esul s o a ep esen a i e summe day (23 July 2023) in o de o cap u e peak he mal
condi ions, p o iding a snapsho o he ex eme hea impac in he case s udy a eas. Clima e
da a we e collec ed om o icial me eo ological eco ds, while on-si e measu emen s wi h
calib a ed ins umen s we e used o calib a e he simula ion p ocess. S a is ical alida ion
me ics, including calcula ed s a is ical e o s, we e employed o e alua e he accu acy and
eliabili y o he simula ion esul s. The da a analysis inco po a es ENVI-me so wa e o
simula e mic oclima ic condi ions unde baseline and o p opose mi iga ion scena ios.
2.3. Case S udies
Loca ed in Spain a 37.3891
◦
N, 5.9845
◦
W, wi h an a e age ele a ion o 6 m abo e
sea le el, Se ille co e s 141.28 km
2
. I is cha ac e ized by a Medi e anean clima e wi h
ho , d y summe s and mild win e s. The a e age annual empe a u e is app oxima ely
19 ◦C,
al hough summe highs equen ly exceed 35
◦
C (104 days in 2023), and on mul iple
occasions each yea , empe a u es emain abo e 40 ◦C o se e al consecu i e days [62].
Acco ding o a p e ious s udy and classi ica ion [
61
], Se ille has nume ous high-
densi y esiden ial neighbo hoods. The mos p ominen o hese, Casco An iguo, se es as
he his o ic cen e o Se ille. Casco An iguo is s ill densely popula ed and cha ac e ized
by na ow s ee s and adi ional a chi ec u e, consis ing o a mix o esiden ial buildings,
shops, and ou is a ac ions. E en hough la ge g een spaces a e conspicuously absen ,
se e al small ha d-pa ed squa es ound in he a ea se e as ga he ing spo s o esiden s
and isi o s. The s udy o hese spaces is pa icula ly impo an o imp o ing he mal

Buildings 2025,15, 564 6 o 27
com o in ho wea he , gi en he po en ial isks posed by ele a ed empe a u es o public
heal h and he usabili y o hese a eas.
Two squa es, conside ed ypical u ban a che ypes o his o ic ci ies in Medi e anean
clima es, in his case Se ille, ha e been selec ed. Bo h squa es sha e s anda d ea u es, such
as compac u ban mo phology, high-densi y su oundings wi h adi ional cons uc i e
sys ems [
58
], and limi ed g een in as uc u e, all ai s equen ly ound in his o ic ci y
cen e s ac oss sou he n Eu ope (Figu e 2):
Buildings 2025, 15, 564 6 o 30
com o in ho wea he , gi en he po en ial isks posed by ele a ed empe a u es o public
heal h and he usabili y o hese a eas.
Two squa es, conside ed ypical u ban a che ypes o his o ic ci ies in Medi e anean
clima es, in his case Se ille, ha e been selec ed. Bo h squa es sha e s anda d ea u es,
such as compac u ban mo phology, high-densi y su oundings wi h adi ional cons uc-
i e sys ems [58], and limi ed g een in as uc u e, all ai s equen ly ound in his o ic
ci y cen e s ac oss sou he n Eu ope (Figu e 2):
Figu e 2. Casco An iguo neighbo hood and San Julian Squa e (SJS) and C is o de Bu gos Squa e
(CBS) loca ions.
• San Julian Squa e (SJS) has been chosen o he assessmen o he mal com o , as i s
shape, design ea u es, and lack o wa e elemen s and g eene y a e also a ea u e o
many small squa es nea by. SJS is app oxima ely 28.5 m wide and 44 m long, while
he su ounding buildings a e age a heigh o 9.5 m. T adi ional cons uc ion ech-
niques ha e played a c ucial ole in shaping he he mal p ope ies o hese squa es:
he su ounding acades a e p ima ily made o local adi ional mass b icks, wi h
mo a ende pain ed in ligh colo s, while he oo s a e ce amic iles. G ani e cob-
bles one co e s he oad su ounding wo sides o he squa e, while he pa hways
a e pa ed in cemen mo a ile o s one iles, as shown in Figu e 3. The cobbles ones,
laid using compac ed sand beds and in e locked wi h mo a , p o ide s abili y bu
lack pe meabili y and con ibu e o su ace hea ing.
Figu e 2. Casco An iguo neighbo hood and San Julian Squa e (SJS) and C is o de Bu gos Squa e
(CBS) loca ions.
•
San Julian Squa e (SJS) has been chosen o he assessmen o he mal com o , as i s
shape, design ea u es, and lack o wa e elemen s and g eene y a e also a ea u e o
many small squa es nea by. SJS is app oxima ely 28.5 m wide and 44 m long, while he
su ounding buildings a e age a heigh o 9.5 m. T adi ional cons uc ion echniques
ha e played a c ucial ole in shaping he he mal p ope ies o hese squa es: he
su ounding acades a e p ima ily made o local adi ional mass b icks, wi h mo a
ende pain ed in ligh colo s, while he oo s a e ce amic iles. G ani e cobbles one
co e s he oad su ounding wo sides o he squa e, while he pa hways a e pa ed
in cemen mo a ile o s one iles, as shown in Figu e 3. The cobbles ones, laid
using compac ed sand beds and in e locked wi h mo a , p o ide s abili y bu lack
pe meabili y and con ibu e o su ace hea ing.
Buildings 2025,15, 564 7 o 27
Buildings 2025, 15, 564 7 o 30
Figu e 3. Gene al iew o SJS.
• In con as , C is o de Bu gos Squa e (CBS) has an abundance o ege a ion. The
squa e, which is 40.2 m wide and 132.9 m long, is su ounded by buildings wi h a
heigh o 10.5 m. The ma e ials o su ounding buildings a e also adi ional mass
b ick walls wi h mo a ende and ligh pain colo s, while he oo s s ill use ce amic
iles. On he g ound, an asphal oad su ounds he squa e, while he pedes ian a ea
is pa ed wi h ed b ick ile (Figu e 4). The dimensions and ma e ials signi ican ly
in luence he a ea’s en i onmen al si ua ion. The design elemen s o he squa e—
mos ly exis ing g eene y ha p o ides shade—play an essen ial pa in shaping is-
i o s’ he mal expe iences and will guide us in analyzing i s mic oclima e and com-
pa ing i wi h he p e ious one o bo h squa es. Valuable inpu on he mal s anda ds
can be ob ained hanks o he po en ial pe cep ion o a iables such as sola exposu e
and wind low posi ioning. CBS ea u es ed b ick iles laid o e conc e e laye s,
which enhance du abili y bu es ic na u al cooling mechanisms. Howe e , in hei
cu en o m, hese his o ically au hen ic me hods limi he mal mi iga ion op ions.
Figu e 3. Gene al iew o SJS.
•
In con as , C is o de Bu gos Squa e (CBS) has an abundance o ege a ion. The squa e,
which is 40.2 m wide and 132.9 m long, is su ounded by buildings wi h a heigh o
10.5 m. The ma e ials o su ounding buildings a e also adi ional mass b ick walls
wi h mo a ende and ligh pain colo s, while he oo s s ill use ce amic iles. On he
g ound, an asphal oad su ounds he squa e, while he pedes ian a ea is pa ed wi h
ed b ick ile (Figu e 4). The dimensions and ma e ials signi ican ly in luence he a ea’s
en i onmen al si ua ion. The design elemen s o he squa e—mos ly exis ing g eene y
ha p o ides shade—play an essen ial pa in shaping isi o s’ he mal expe iences
and will guide us in analyzing i s mic oclima e and compa ing i wi h he p e ious
one o bo h squa es. Valuable inpu on he mal s anda ds can be ob ained hanks o
he po en ial pe cep ion o a iables such as sola exposu e and wind low posi ioning.
CBS ea u es ed b ick iles laid o e conc e e laye s, which enhance du abili y bu
es ic na u al cooling mechanisms. Howe e , in hei cu en o m, hese his o ically
au hen ic me hods limi he mal mi iga ion op ions.
Buildings 2025, 15, 564 8 o 30
•
Figu e 4. Cen al pe spec i e o CBS.
Figu e 4. Cen al pe spec i e o CBS.
Buildings 2025,15, 564 8 o 27
2.4. Field Measu emen s
Field measu emen s a e c ucial o alida ing he accu acy o simula ions wi hin he
esea ch si e. Da a collec ion was conduc ed a di e en imes in he wo squa es on a
ep esen a i e summe day (23 July 2023). The AT, RH, and globe empe a u e (using a
TROTEC TC100 he mo-hyg ome e ), WS (using a TROTEC TA300 anemome e ), and ST
(using a TESTO 905 T2 he mome e ) we e measu ed. Ten poin s we e selec ed in each o
hese squa es o he pu poses o measu emen (Figu e 5). These da a a e used o calib a e
he ENVI-me simula ion models, enabling he simula ion o mic oclima e and he mal
com o unde di e en con igu a ions o he MS. A summa y o he echnical speci ica ions
o he ins umen s used can be ound in Table 1.
Buildings 2025, 15, 564 9 o 30
2.4. Field Measu emen s
Field measu emen s a e c ucial o alida ing he accu acy o simula ions wi hin he
esea ch si e. Da a collec ion was conduc ed a diffe en imes in he wo squa es on a
ep esen a i e summe day (23 July 2023). The AT, RH, and globe empe a u e (using a
TROTEC TC100 he mo-hyg ome e ), WS (using a TROTEC TA300 anemome e ), and ST
(using a TESTO 905 T2 he mome e ) we e measu ed. Ten poin s we e selec ed in each o
hese squa es o he pu poses o measu emen (Figu e 5). These da a a e used o calib a e
he ENVI-me simula ion models, enabling he simula ion o mic oclima e and he mal
com o unde diffe en con igu a ions o he MS. A summa y o he echnical speci ica-
ions o he ins umen s used can be ound in Table 1.
(a)
SJS
(b)
CBS
Figu e 5. Selec ed measu emen poin s in SJS and CBS.
Table 1. Measu ing ins umen s speci ica ions.
Ins umen
and Model TROTEC TC100 The mo-Hyg ome e TROTEC TA300 Anemome e Tes o 905 T2 The mome e
Range Tempe a u e: −20 °C o 60 °C
Humidi y: 1% o 99% RH
Wind Speed: 0.4 m/s o 30 m/s
Ai Veloci y: 0.4 m/s o 30 m/s
Tempe a u e: −20 °C o 60 °C
−50 °C o 300 °C
Accu acy
Tempe a u e: ±0.5 °C
a 25 °C
Humidi y: ±3% RH (a 25 °C, 30% o 80% RH);
±5% RH (a 25 °C, <30% RH o >80% RH)
Wind Speed/Ai Veloci y: ±3% o
eading ±0.1 m/s
Tempe a u e: ±0.8 °C
±1 °C (−50 °C o −20.1 °C);
±0.5 °C (−20 °C o 99.9 °C);
±1% o eading ( emaining
ange)
Resolu ion Tempe a u e: 0.1 °C
Humidi y: 0.1% RH
Wind Speed/Ai Veloci y: 0.1 m/s
Tempe a u e: 0.1 °C 0.1 °C
Ope a ing En-
i onmen
Tempe a u e: 0 °C o 50 °C
Humidi y: 0% o 95% RH (non-condensing)
Tempe a u e: 0 °C o 50 °C
Humidi y: 0% o 80% RH (non-con-
densing)
empe a u e: −20 °C o 50 °C
Figu e 5. Selec ed measu emen poin s in SJS and CBS.
Table 1. Measu ing ins umen s speci ica ions.
Ins umen and Model TROTEC TC100 The mo-Hyg ome e TROTEC TA300 Anemome e Tes o 905 T2 The mome e
Range Tempe a u e: −20 ◦C o 60 ◦C
Humidi y: 1% o 99% RH
Wind Speed: 0.4 m/s o 30 m/s
Ai Veloci y: 0.4 m/s o 30 m/s
Tempe a u e: −20 ◦C o 60 ◦C
−50 ◦C o 300 ◦C
Accu acy
Tempe a u e: ±0.5 ◦C
a 25 ◦C
Humidi y: ±3% RH (a 25 ◦C, 30%
o 80% RH);
±
5% RH (a 25
◦
C, <30% RH o >80% RH)
Wind Speed/Ai Veloci y:
±
3% o
eading ±0.1 m/s
Tempe a u e: ±0.8 ◦C
±1◦C (−50 ◦C o −20.1 ◦C);
±0.5 ◦C (−20 ◦C o 99.9 ◦C);
±
1% o eading ( emaining ange)
Resolu ion Tempe a u e: 0.1 ◦C
Humidi y: 0.1% RH
Wind Speed/Ai Veloci y: 0.1 m/s
Tempe a u e: 0.1 ◦C0.1 ◦C
Ope a ing En i onmen
Tempe a u e: 0 ◦C o 50 ◦C
Humidi y: 0% o 95% RH
(non-condensing)
Tempe a u e: 0 ◦C o 50 ◦C
Humidi y: 0% o 80% RH
(non-condensing)
empe a u e: −20 ◦C o 50 ◦C
2.5. Simula ion Se up
ENVI-me is designed o examine mic oclima es by applying he ounda ional p inci-
ples o luid dynamics and he modynamics [
63
]. I can eplica e he in ica e in e plays
Buildings 2025,15, 564 9 o 27
among buildings, soil, g eene y, and he a mosphe e. I , he e o e, has widesp ead use
in esea ch on u ban mic oclima es. The so wa e is ailo ed o 3D modeling, ea u ing
a ypical ho izon al esolu ion in a 0.5–5 m ange and a empo al scope o 24 o 48 h,
using ime s eps o 1 o 5 s. This le el o esolu ion acili a es he sc u iny o in e ac ions
among indi idual buildings, su aces, and ege a ion [
64
]. The ENVI-me simula ions
we e designed o assess he he mal beha io o he selec ed squa es, u he en iched by
inco po a ing obse a ions om ield s udies. Once he on-si e measu emen s had been
ob ained, simula ions we e conduc ed on he he modynamic pe o mance o he squa es
using he ENVI-me so wa e ( e sion 5.1.1). De ails ela ing o he models and bounda y
condi ions o he simula ed squa es a e ou lined and p esen ed in Tables 2and 3.
Table 2. Simula ion model dimensions and geome y speci ica ions.
Pa ame e s SJS CBS
Numbe o g id cells 80 ×70 ×15 100 ×105 ×30
Size o he cells (m) (x,y,z) 2 ×2×2 2 ×2×2
Nes ing g ids 4 4
Model o a ion ou o no h 0 0
Telescoping ac o (%) 15 15
Telescoping s a s a e heigh (m) 20 20
Image o he model
Buildings 2025, 15, x FOR PEER REVIEW 9 o 28
2.5. Simula ion Se up
ENVI-me is designed o examine mic oclima es by applying he ounda ional p in-
ciples o luid dynamics and he modynamics [63]. I can eplica e he in ica e in e plays
among buildings, soil, g eene y, and he a mosphe e. I , he e o e, has widesp ead use in
esea ch on u ban mic oclima es. The so wa e is ailo ed o 3D modeling, ea u ing a
ypical ho izon al esolu ion in a 0.5–5 m ange and a empo al scope o 24 o 48 h, using
ime s eps o 1 o 5 s. This le el o esolu ion acili a es he sc u iny o in e ac ions among
indi idual buildings, su aces, and ege a ion [64]. The ENVI-me simula ions we e de-
signed o assess he he mal beha io o he selec ed squa es, u he en iched by inco -
po a ing obse a ions om ield s udies. Once he on-si e measu emen s had been ob-
ained, simula ions we e conduc ed on he he modynamic pe o mance o he squa es
using he ENVI-me so wa e ( e sion 5.1.1). De ails ela ing o he models and bounda y
condi ions o he simula ed squa es a e ou lined and p esen ed in Table 2 and Table 3.
Table 2. Simula ion model dimensions and geome y speci ica ions.
Pa ame e s SJS CBS
Numbe o g id cells 80 × 70 × 15 100 × 105 × 30
Size o he cells (m) (x,y,z) 2 × 2 × 2 2 × 2 × 2
Nes ing g ids 4 4
Model o a ion ou o no h 0 0
Telescoping ac o (%) 15 15
Telescoping s a s a e heigh (m) 20 20
Image o he model
Table 3. Inpu a iables o ENVI-me simula ions.
Me eo ological inpu s Ai empe a u e and ela i e humidi y Hou ly da a in Table 4
Wind speed and di ec ion 1 m/s = 191.73°
Speci ic humidi y a 2500 m 8.0 g/kg
Roughness leng h 0.01 m
Vege a ion 3D ee
Simple plan
02SSSS, 02ALDM, 02ALDS (SJS)
0200XX, 020027, 010027, 01PLDM,
02ALDM, 02ALDS (CBS)
Building Walls and oo ma e ials Table 5
Soil Ini ial condi ions o soil ma e ials (Table 5)
Uppe laye (0–20 cm): 65%/20 °C
Middle laye (20–50 cm): 70%/20 °C
Deep laye (50–200 cm): 75%/19 °C
Simula ion S a simula ion day (DD.MM.YYYY)
S a simula ion ime (HH:MM: SS)
22.07.2023
21.00.00
To al simula ion ime (hou s) 28 h
Buildings 2025, 15, x FOR PEER REVIEW 9 o 28
2.5. Simula ion Se up
ENVI-me is designed o examine mic oclima es by applying he ounda ional p in-
ciples o luid dynamics and he modynamics [63]. I can eplica e he in ica e in e plays
among buildings, soil, g eene y, and he a mosphe e. I , he e o e, has widesp ead use in
esea ch on u ban mic oclima es. The so wa e is ailo ed o 3D modeling, ea u ing a
ypical ho izon al esolu ion in a 0.5–5 m ange and a empo al scope o 24 o 48 h, using
ime s eps o 1 o 5 s. This le el o esolu ion acili a es he sc u iny o in e ac ions among
indi idual buildings, su aces, and ege a ion [64]. The ENVI-me simula ions we e de-
signed o assess he he mal beha io o he selec ed squa es, u he en iched by inco -
po a ing obse a ions om ield s udies. Once he on-si e measu emen s had been ob-
ained, simula ions we e conduc ed on he he modynamic pe o mance o he squa es
using he ENVI-me so wa e ( e sion 5.1.1). De ails ela ing o he models and bounda y
condi ions o he simula ed squa es a e ou lined and p esen ed in Table 2 and Table 3.
Table 2. Simula ion model dimensions and geome y speci ica ions.
Pa ame e s SJS CBS
Numbe o g id cells 80 × 70 × 15 100 × 105 × 30
Size o he cells (m) (x,y,z) 2 × 2 × 2 2 × 2 × 2
Nes ing g ids 4 4
Model o a ion ou o no h 0 0
Telescoping ac o (%) 15 15
Telescoping s a s a e heigh (m) 20 20
Image o he model
Table 3. Inpu a iables o ENVI-me simula ions.
Me eo ological inpu s Ai empe a u e and ela i e humidi y Hou ly da a in Table 4
Wind speed and di ec ion 1 m/s = 191.73°
Speci ic humidi y a 2500 m 8.0 g/kg
Roughness leng h 0.01 m
Vege a ion 3D ee
Simple plan
02SSSS, 02ALDM, 02ALDS (SJS)
0200XX, 020027, 010027, 01PLDM,
02ALDM, 02ALDS (CBS)
Building Walls and oo ma e ials Table 5
Soil Ini ial condi ions o soil ma e ials (Table 5)
Uppe laye (0–20 cm): 65%/20 °C
Middle laye (20–50 cm): 70%/20 °C
Deep laye (50–200 cm): 75%/19 °C
Simula ion S a simula ion day (DD.MM.YYYY)
S a simula ion ime (HH:MM: SS)
22.07.2023
21.00.00
To al simula ion ime (hou s) 28 h
Table 3. Inpu a iables o ENVI-me simula ions.
Me eo ological inpu s Ai empe a u e and ela i e humidi y Hou ly da a in Table 4
Wind speed and di ec ion 1 m/s = 191.73◦
Speci ic humidi y a 2500 m 8.0 g/kg
Roughness leng h 0.01 m
Vege a ion 3D ee
Simple plan
02SSSS, 02ALDM, 02ALDS (SJS)
0200XX, 020027, 010027, 01PLDM,
02ALDM, 02ALDS (CBS)
Building Walls and oo ma e ials Table 5
Soil Ini ial condi ions o soil ma e ials (Table 5)
Uppe laye (0–20 cm): 65%/20 ◦C
Middle laye (20–50 cm): 70%/20 ◦C
Deep laye (50–200 cm): 75%/19 ◦C
Simula ion S a simula ion day (DD.MM.YYYY)
S a simula ion ime (HH:MM: SS)
22.07.2023
21.00.00
To al simula ion ime (hou s) 28 h
The simula ions we e conduc ed on he same day o he moni o ing campaigns,
23 July 2023.
The simula ion inpu pa ame e s included an hou ly AT and RH using simple
o cing, along wi h he a e age WS and di ec ion aken om a nea by wea he s a ion
wi hin he ci y, 3.5 km om he squa es (Table 4).
Buildings 2025,15, 564 16 o 27
Ano he ac o a ec ing he mal com o is RH. Acco ding o Figu e 11a, he RH
in SJS-CS g adually inc eases a nigh ( om midnigh o 7:00 h), peaking a a ound 6:00
(be ween 58.0% and 60.9%) ac oss all poin s. This inc ease is ollowed by a sha p decline
h oughou he day, eaching he lowes le els in he a e noon, be ween 14:00 and 17:00
( om 22.2% o 28.9%). A e 18:00, he RH le els ise again, s abilizing a highe alues in
he la e e ening hou s. This pa e n is di ec ly linked o he AT, which inc eases he RH i
he empe a u e dec eases.
WS is ano he in luen ial ac o impac ing he mal com o . Howe e , ege a ion and
buil s uc u es in SJS hinde he wind low ac oss a ious loca ions, leading o speeds o
less han 1 m/s. As a esul , his is no conside ed a signi ican a iable in his case s udy.
Figu e 11b displays he hou ly MRT and UTCI esul s. Du ing he ea ly hou s (mid-
nigh o 06:00), all i e poin s ha e closely g ouped he MRT in he ange o 17–20
◦
C. As he
day p og esses, he MRT inc eases signi ican ly, especially be ween 09:00 and 17:00, wi h
he MRT peaking a a ound 14:00 a poin 4 (70.4
◦
C) and poin 5 (75.5
◦
C a 17:00). Poin s 1
and 2 exhibi e y high alues ea lie (a ound 09:00–11:00), possibly due o di ec sunligh
o e lec i e su aces. The e ening shows a cooling pa e n, wi h he MRT d opping o
below 30
◦
C a all poin s a e 19:00. The di e ences in MRT alues a midday sugges ha
poin 4 and poin 5 may well be mo e exposed o sola adia ion o hea - e en i e su aces
han he o he poin s.
The esul s o he UTCI a e di ec ly ela ed o he MRT, wi h he nigh ime alues
(00:00–06:00) being also ela i ely uni o m ac oss he poin s, anging om 20.8
◦
C o
24.2 ◦C,
indica ing com o able he mal condi ions. Be ween 09:00 and 17:00, he UTCI ises
d ama ically, i s a poin s 1 and 2, exceeding 40
◦
C a ound midday, indica ing he mal
s ess. Poin s 4 and 5 also show ele a ed alues, peaking a abo e 44
◦
C in he a e noon,
wi h poin 5 eaching he highes alue o 44.8
◦
C a 17:00. Poin s 3, 4, and 5 exhibi a mo e
mode a e inc ease han poin s 1 and 2, pa icula ly in he ea ly mo ning and la e a e noon.
These di e ences a e di ec ly ela ed o sola adia ion and o ien a ion. A e 18:00, he
empe a u es dec eased s eadily, e u ning o com o able le els o 30–35
◦
C by he e ening.
Howe e , he UTCI, which is also a ec ed by he o he pa ame e s, dec eases slowe han
he MRT, while he AT emains e y high in he a e noon hou s.
3.2.2. SJS-MS
This sec ion shows he esul s o he p oposed MS in SJS. Gi en he lack o shading and
ege a ion, canopies and a g een wall a e sugges ed, also imp o ing he a ea aes he ically.
In some a eas, he su ace ma e ial o he squa es has also been changed in o pa ed g ass,
educing he he mal capaci y o he exis ing ha d pa emen . These esul s a e shown in
he maps displaying he absolu e di e ences in he AT, RH, MRT, and UTCI alues a ou
di e en imes (6:00 in he mo ning, 12:00 noon, 16:00, and 22:00) (Figu e 12). Reduc ions in
he SJS-MS alues compa ed o SJS-CS appea in g een, while ed is used o indica e highe
alues. Based on Figu e 12a, he AT absolu e di e ence sugges s ha he MS in SJS has a
small impac on he AT. A 6:00, he di e ence on he no heas e n side o he squa e is
0.1–0.4
◦
C. By noon, he canopies s a showing imp o emen s, educing he AT by 0.1
◦
C
o 0.7
◦
C. In he sou hwes o he squa e, his alue is om
−
0.2
◦
C o
−
0.5
◦
C, displaying
a sligh ly inc easing AT in his a ea. A 16:00, bo h canopies and he g een wall p o ide
mode a e bene i s, educing empe a u es by 0.1–0.4
◦
C. A nigh , he alues a e simila o
hose obse ed in he mo ning (Figu e 12a).
Fo RH (Figu e 12b), he di e ences a e minimal and nega i e, which means he RH
inc eased a e implemen ing MSs. In he mo ning and a noon, hese s a egies inc ease he
RH by
−
0.5% o
−
1.7%. Howe e , by nigh all and a e noon, hei in luence is negligible

Buildings 2025,15, 564 17 o 27
again (
−
0.5% o
−
0.8%). This means ha al hough he g een wall inc eases he RH, he
e ec can be conside ed minimal.
Buildings 2025, 15, 564 19 o 30
used o indica e highe alues. Based on Figu e 12a, he AT absolu e diffe ence sugges s
ha he MS in SJS has a small impac on he AT. A 6:00, he diffe ence on he no heas e n
side o he squa e is 0.1–0.4 °C. By noon, he canopies s a showing imp o emen s, e-
ducing he AT by 0.1 °C o 0.7 °C. In he sou hwes o he squa e, his alue is om −0.2
°C o −0.5 °C, displaying a sligh ly inc easing AT in his a ea. A 16:00, bo h canopies and
he g een wall p o ide mode a e bene i s, educing empe a u es by 0.1–0.4 °C. A nigh ,
he alues a e simila o hose obse ed in he mo ning (Figu e 12a).
(a) Absolu e diffe ence in AT a ou selec ed hou s
(b) Absolu e diffe ence in RH in ou selec ed hou s
(c) Absolu e diffe ence in MRT in ou selec ed hou s
(d) Absolu e diffe ence in UTCI in ou selec ed hou s
Figu e 12. The absolu e di e ence in clima ic a iables o he mi iga ion scena io a ou selec ed hou s.
Fo RH (Figu e 12b), he diffe ences a e minimal and nega i e, which means he RH
inc eased a e implemen ing MSs. In he mo ning and a noon, hese s a egies inc ease
he RH by −0.5% o −1.7%. Howe e , by nigh all and a e noon, hei in luence is
Figu e 12. The absolu e di e ence in clima ic a iables o he mi iga ion scena io a ou selec ed
hou s.
In e ms o he MRT (Figu e 12c), in he mo ning, he MRT di e ences a e nega i e,
be ween
−
0.8
◦
C and
−
3.7
◦
C, in he sou h o SJS. A noon, canopies signi ican ly educe
he MRT by up o 22.4–29.2
◦
C, while he g een wall p o ides mode a e cooling in he
ange o 2.1–5
◦
C. Du ing he a e noon, he a ea expe iences a ela i ely highe MRT, wi h
a di e ence o
−
0.8
◦
C o
−
3.7
◦
C, while a ound he g een wall, he MRT di e ence is in a
ange o 2.1–5
◦
C, and he e ec is he e o e posi i e. A 22:00, he di e ence close o he
Buildings 2025,15, 564 18 o 27
g een wall is 2.1–7.9
◦
C. These esul s sugges ha blocking di ec sunligh using canopies
is he mos e ec i e s a egy, especially in he mo ning.
Based on he absolu e di e ence in he UTCI in SJS shown in Figu e 12d, i can be s a ed
ha he UTCI di e ences a e minimal in he mo ning due o na u ally coole empe a u es.
By noon, canopies signi ican ly educe he UTCI by up o 5–6.5
◦
C, educing hea s ess,
while he g een wall p o ides sligh ly highe alues, om 0.4
◦
C o 1.2
◦
C. In he a e noon
and a nigh , he impac anges om −1.2 ◦C o 2 ◦C.
3.2.3. CBS-CS
The esul s o he simula ion o CBS-CS a e p esen ed in his sec ion. As shown
in Figu e 13, a 8:00, he UTCI is below 22.5
◦
C h oughou he squa e. By noon, i ises
signi ican ly and is be ween 37.5
◦
C and 40
◦
C, and he alues unde ees ange om
32 ◦C
o 35
◦
C. A 16:00, he wes side displays UTCI anges om 35
◦
C o 37.5
◦
C, while he
eas e n side and he cen e o he squa e show alues abo e 42.5
◦
C, and he alues unde
ees a e in he ange o 37.5–40 ◦C. By 22:00, he UTCI d ops o a ange o 27.5–32.5 ◦C.
Buildings 2025, 15, 564 20 o 30
negligible again (−0.5% o −0.8%). This means ha al hough he g een wall inc eases he
RH, he effec can be conside ed minimal.
In e ms o he MRT (Figu e 12c), in he mo ning, he MRT diffe ences a e nega i e,
be ween −0.8 °C and −3.7 °C, in he sou h o SJS. A noon, canopies signi ican ly educe
he MRT by up o 22.4–29.2 °C, while he g een wall p o ides mode a e cooling in he
ange o 2.1–5 °C. Du ing he a e noon, he a ea expe iences a ela i ely highe MRT,
wi h a diffe ence o −0.8 °C o −3.7 °C, while a ound he g een wall, he MRT diffe ence is
in a ange o 2.1–5 °C, and he effec is he e o e posi i e. A 22:00, he diffe ence close o
he g een wall is 2.1–7.9 °C. These esul s sugges ha blocking di ec sunligh using can-
opies is he mos effec i e s a egy, especially in he mo ning.
Based on he absolu e diffe ence in he UTCI in SJS shown in Figu e 12d, i can be
s a ed ha he UTCI diffe ences a e minimal in he mo ning due o na u ally coole em-
pe a u es. By noon, canopies signi ican ly educe he UTCI by up o 5–6.5 °C, educing
hea s ess, while he g een wall p o ides sligh ly highe alues, om 0.4 °C o 1.2 °C. In
he a e noon and a nigh , he impac anges om −1.2 °C o 2 °C.
3.2.3. CBS-CS
The esul s o he simula ion o CBS-CS a e p esen ed in his sec ion. As shown in
Figu e 13, a 8:00, he UTCI is below 22.5 °C h oughou he squa e. By noon, i ises sig-
ni ican ly and is be ween 37.5 °C and 40 °C, and he alues unde ees ange om 32 °C
o 35 °C. A 16:00, he wes side displays UTCI anges om 35 °C o 37.5 °C, while he
eas e n side and he cen e o he squa e show alues abo e 42.5 °C, and he alues unde
ees a e in he ange o 37.5–40 °C. By 22:00, he UTCI d ops o a ange o 27.5–32.5 °C.
Figu e 13. The UTCI esul s o CBS in he selec ed hou s.
Figu e 14a p o ides a comp ehensi e o e iew o he AT a ia ions a he i e poin s
in he CBS-CS o e 24 h. The AT analysis o his squa e shows ha poin 5 expe ienced
he highes empe a u es, peaking a 36.8 °C, p obably due o g ea e sun exposu e. Poin s
1 and 2 ollow simila , sligh ly lowe pa e ns, while poin s 3 and 4 consis en ly eco d he
cooles empe a u es, sugges ing possible shading o cooling effec s. These a ia ions
iden i y poin 5 as a p io i y a ea o he mal com o in e en ions. Fu he mo e, in
Figu e 13. The UTCI esul s o CBS in he selec ed hou s.
Figu e 14a p o ides a comp ehensi e o e iew o he AT a ia ions a he i e poin s
in he CBS-CS o e 24 h. The AT analysis o his squa e shows ha poin 5 expe ienced
he highes empe a u es, peaking a 36.8
◦
C, p obably due o g ea e sun exposu e. Poin s
1 and 2 ollow simila , sligh ly lowe pa e ns, while poin s 3 and 4 consis en ly eco d
he cooles empe a u es, sugges ing possible shading o cooling e ec s. These a ia ions
iden i y poin 5 as a p io i y a ea o he mal com o in e en ions. Fu he mo e, in
con as o he SJS-CS squa e, di e ences be ween poin s a e highe h oughou he day,
eaching 1.5 ◦C a some hou s.
The RH alues (Figu e 14a) a e also in keeping wi h hose seen in SJS-CS. These end
o be high in he ea ly mo ning and dec ease in he ho e midday due o he inc ease
in empe a u e. In con as o SJS-CS, his squa e shows mo e no iceable RH di e ences
be ween he poin s selec ed, p obably due o he highe p esence o ege a ion.
Buildings 2025,15, 564 19 o 27
Buildings 2025, 15, 564 21 o 30
con as o he SJS-CS squa e, diffe ences be ween poin s a e highe h oughou he day,
eaching 1.5 °C a some hou s.
(a) Ai empe a u e and Rela i e Humidi y (b) MRT and UTCI
Figu e 14. Simula ion o hou ly MRT and UTCI esul s a he selec ed poin s in CBS-CS.
The RH alues (Figu e 14a) a e also in keeping wi h hose seen in SJS-CS. These end
o be high in he ea ly mo ning and dec ease in he ho e midday due o he inc ease in
empe a u e. In con as o SJS-CS, his squa e shows mo e no iceable RH diffe ences be-
ween he poin s selec ed, p obably due o he highe p esence o ege a ion.
The MRT da a o CBS-CS (Figu e 14b) e eal conside able a ia ions ac oss diffe en
poin s and imes o he day. The MRT alues du ing he mo ning hou s o he day be ween
00:00 and 06:00 we e low, emaining p ac ically he same be ween poin s, showing a ied
alues wi hin he ange o 16.7–20.9 °C as a e lec ion o he nigh ime empe a u e. The
alues keep ising p og essi ely h oughou he day, s a ing a 09:00 and peaking om
15:00 o 17:00. A 16:00, poin 3 eco ded he highes MRT o he s udy, 72.9 °C, showing
highly exposed su aces o he sun. By e ening, he squa e heads owa ds a cooling end
whose le el is assumed o g adually pull down he MRT below 30 °C by nigh a ound
21:00. The con inuous a ia ions in he MRT du ing he sunny hou s sugges ha ege a-
ion helps o educe he MRT when i blocks he sun. Howe e , he lack o a homogeneous
canopy p e en s he MRT om emaining low.
Finally, he UTCI esul s o CBS-CS a e ela i ely uni o m, be ween 00:00 and 06:00,
wi h a ange o 20.9–23.5 °C, which is conside ed com o able a all poin s. Howe e , he e
a e e y high disc epancies du ing he day. In de ail, he UTCI alues ise no iceably a e
09:00 and each high le els—o e 40 °C, indica ing high he mal s ess—a ound midday
a poin 3 and he nea by poin 2. Poin 5 also eco ded high UTCI alues, peaking abo e
43 °C in he a e noon. Such high alues indica e ha hese poin s a e mo e exposed o
di ec sunligh o less shel e ed om hea sou ces. Poin s 1 and 4 illus a e mode a e ises
in he UTCI as opposed o poin 2 and poin 3. A e 18:00, he UTCI alues dec ease and
e u n o mo e com o able le els, anging om 28 °C o 35 °C in he e ening.
Figu e 14. Simula ion o hou ly MRT and UTCI esul s a he selec ed poin s in CBS-CS.
The MRT da a o CBS-CS (Figu e 14b) e eal conside able a ia ions ac oss di e en
poin s and imes o he day. The MRT alues du ing he mo ning hou s o he day be ween
00:00 and 06:00 we e low, emaining p ac ically he same be ween poin s, showing a ied
alues wi hin he ange o 16.7–20.9
◦
C as a e lec ion o he nigh ime empe a u e. The
alues keep ising p og essi ely h oughou he day, s a ing a 09:00 and peaking om
15:00 o 17:00. A 16:00, poin 3 eco ded he highes MRT o he s udy, 72.9
◦
C, showing
highly exposed su aces o he sun. By e ening, he squa e heads owa ds a cooling end
whose le el is assumed o g adually pull down he MRT below 30
◦
C by nigh a ound 21:00.
The con inuous a ia ions in he MRT du ing he sunny hou s sugges ha ege a ion helps
o educe he MRT when i blocks he sun. Howe e , he lack o a homogeneous canopy
p e en s he MRT om emaining low.
Finally, he UTCI esul s o CBS-CS a e ela i ely uni o m, be ween 00:00 and 06:00,
wi h a ange o 20.9–23.5
◦
C, which is conside ed com o able a all poin s. Howe e , he e
a e e y high disc epancies du ing he day. In de ail, he UTCI alues ise no iceably a e
09:00 and each high le els—o e 40
◦
C, indica ing high he mal s ess—a ound midday
a poin 3 and he nea by poin 2. Poin 5 also eco ded high UTCI alues, peaking abo e
43 ◦C
in he a e noon. Such high alues indica e ha hese poin s a e mo e exposed o
di ec sunligh o less shel e ed om hea sou ces. Poin s 1 and 4 illus a e mode a e ises
in he UTCI as opposed o poin 2 and poin 3. A e 18:00, he UTCI alues dec ease and
e u n o mo e com o able le els, anging om 28 ◦C o 35 ◦C in he e ening.
3.2.4. CBS-MS
Acco ding o he assessmen conduc ed p e iously o CBS-CS, i is clea ha imp o e-
men s a e equi ed o he poin s exposed o he sun. In addi ion, he o e all high UTCI
alues in he mo ning and a e noon hou s p omp us o implemen s a egies ha could
inc ease he mal com o . Thus, he use o di e en pa emen ma e ials is sugges ed in
o de o complemen he canopies ins alled in sunny a eas and he ex ensi e p esence o
ege a ion al eady ound in he squa e. Following an i e a i e p ocess o he selec ion o
ma e ials, he bes pe o mance was obse ed wi h he use o pa ed g ass, a ha d pa emen
inco po a ing g ass and soil. The esul s o he s a egy a e shown in his sec ion.
Buildings 2025,15, 564 20 o 27
A 6:00, di e ences in he AT a e qui e small, anging om 0.3
◦
C o 1.1
◦
C, showing
ha he e ec in he ea ly mo ning is minimal. A noon, cooling is mo e no iceable in he
no h and cen e sec ions, wi h alues o be ween 1.5
◦
C and 2.7
◦
C and alues o be ween
0.3
◦
C and 0.7
◦
C on he sou he n side, showing e ec i e cooling om pa ed g ass and
canopies. A 16:00, he cooling e ec s a e educed, wi h di e ences in a ange o 0.3–1.5
◦
C.
By 22:00, he AT di e ences d op in he ange o 0.3 ◦C o 0.7 ◦C (Figu e 15a).
Buildings 2025, 15, 564 24 o 32
(
a
)
Absolu e di e ence in AT a ou selec ed hou s
Buildings 2025, 15, 564 25 o 32
(b) Absolu e di e ence in RH in ou selec ed hou s
(c) Absolu e di e ence in MRT in ou selec ed hou s
(d) Absolu e di e ence in UTCI in ou selec ed hou s
Figu e 15. The absolu e diffe ence in clima ic a iables o he CBS mi iga ion scena io a ou se-
lec ed hou s.
4. Discussion
The selec ion o hese wo case s udies in he his o ic cen e o Se ille esponds o he
aim o analyzing wo diffe en concep ions o an u ban squa e: om e y small ones, gen-
e ally ha d pa ed and lacking o he elemen s, o medium-sized ones wi h ege a ion.
Bo h case s udies exempli y one o he mos cha ac e is ic elemen s o he his o ic cen e
o Se ille and o he egional ci ies. Small plazas, unde s ood as expansions and widenings
wi hin a dense and na ow u ban ab ic, unc ion as public spaces o social ga he ing and
in e ac ion among esiden s while also aiming o p o ide com o able a eas. As he esul s
ha e shown, hei clima ic pe o mance is s ongly influenced no only by hei u ban
s uc u e bu also by he use o adi ional cons uc ion ma e ials on pa emen s and adja-
cen buildings. The findings discussed he e can be easily ex apola ed o o he examples
wi h simila cha ac e is ics wi hin he ci y o egion.
4.1. Rega ding he Moni o ing and Valida ion o he S udy
Figu e 15. The absolu e di e ence in clima ic a iables o he CBS mi iga ion scena io a ou selec ed
hou s.
Buildings 2025,15, 564 21 o 27
The absolu e di e ence in RH is nega i e a all hou s in he a ea. This shows ha
he mi iga ion s a egy has inc eased he RH by noon, om
−
4% o
−
10%, especially in
he cen al and pa ed a eas, sugges ing a possible inc ease in e apo a ion o educ ion
in mois u e e en ion due o he e ec s o he MSs. In he a e noon, a 16:00, he RH
di e ences a e lowe han in he mo ning, ound in he ange o
−
1.00% o
−
2.5%, while
du ing he nigh , a 22:00, he le el is ela i ely s able, and only a ew changes om 0.5% o
−
2.5% we e eco ded, indica ing ha , du ing he nigh , he e ec o he MSs on RH a e
lessened (Figu e 15b).
In e ms o he MRT, in he ea ly mo ning, he absolu e di e ence is e y low and
nega i e, be ween
−
1
◦
C and
−
4
◦
C unde he canopies in he no h and cen e sec ions
o CBS. A noon and a e noon (12:00, 16:00), hese alues inc ease by 2
◦
C o 5
◦
C in he
pa ed g ass a ea and 14
◦
C o 23
◦
C unde he canopies. Howe e , by 22:00, he di e ences
in he MRT a e simila o hose in he ea ly mo ning (Figu e 15c).
The absolu e di e ence in he UTCI in CBS, as shown in Figu e 15d, indica es ha ,
in he mo ning, hese alues a e be ween
−
0.5
◦
C and
−
0.1
◦
C unde he canopies and
0.3–0.7
◦
C o pa ed g ass. A 12:00 and 16:00, hey ange om 1.1
◦
C o 2.3
◦
C unde
he ege a ion and abo e 3.1
◦
C unde he canopies. A nigh , his alue is simila o he
mo ning alues.
4. Discussion
The selec ion o hese wo case s udies in he his o ic cen e o Se ille esponds o
he aim o analyzing wo di e en concep ions o an u ban squa e: om e y small ones,
gene ally ha d pa ed and lacking o he elemen s, o medium-sized ones wi h ege a ion.
Bo h case s udies exempli y one o he mos cha ac e is ic elemen s o he his o ic cen e o
Se ille and o he egional ci ies. Small plazas, unde s ood as expansions and widenings
wi hin a dense and na ow u ban ab ic, unc ion as public spaces o social ga he ing
and in e ac ion among esiden s while also aiming o p o ide com o able a eas. As he
esul s ha e shown, hei clima ic pe o mance is s ongly in luenced no only by hei
u ban s uc u e bu also by he use o adi ional cons uc ion ma e ials on pa emen s
and adjacen buildings. The indings discussed he e can be easily ex apola ed o o he
examples wi h simila cha ac e is ics wi hin he ci y o egion.
4.1. Rega ding he Moni o ing and Valida ion o he S udy
Moni o ing esul s we e used o calib a e he simula ions. The e o esul s ob ained
in his sec ion all wi hin he accep able ange, as epo ed in he li e a u e. Howe e , i
should be no ed ha he e is no es ablished s anda d o his ype o ou doo simula ion.
Thus, a s anda d commonly used in ene gy simula ions was adop ed as a e e ence.
Ano he possible way o alida e he alues ob ained is h ough compa isons wi h
p e ious s udies. While alida ion wi h moni o ed da a is no always a ailable in he
li e a u e, se e al p e ious s udies ha e analyzed he MSs and alida ed simula ions o
he MRT (showing he poo es esul s) eaching 7
◦
C [
68
] and 11.2
◦
C [
69
], hus con i ming
ha his s udy can also be alida ed wi h he da a ob ained. Howe e , i is essen ial o ake
po en ial inaccu acies in o accoun , as he esul s o his s udy a e signi ican o ends,
ega dless o he absolu e alues.
4.2. Rega ding he E ec i eness o he S a egies P oposed
The simula ion o he CS o bo h squa es showed ha , o all he pa ame e s analyzed,
he a ia ions we e highe in CBS han in SJS. The e a e wo easons o his. Fi s ly, SJS is
much smalle in size, limi ing di e en en i onmen s inside he squa e. In addi ion, he
la ge numbe o ees in CBS p oduces changes in sola adia ion and humidi y pa e ns

Buildings 2025,15, 564 22 o 27
ha di ec ly a ec he AT, a ec ing he UTCI. Al hough he com o alues a e high in he
la e mo ning and he a e noon in bo h squa es, he a iabili y o he MRT in CBS inc eases
he com o condi ions since people can choose wha pa o he b oade a ea hey p e e o
occupy. The cu en use o he squa es alida es his s a emen , as CBS is much mo e li able
han SJS, e en in ex emely ho condi ions. This is in keeping wi h p e ious s udies [
54
],
which demons a ed he high local cooling po en ial o small ege a ion spaces o u ban
pa ks, p o iding clima e-cooling a eas o shel e .
A e applying he MSs o imp o e he mal com o in hou s o ex eme hea , he
esul s p o e ha he mos e ec i e s a egy in bo h squa es is he ins alla ion o canopies,
wi h educ ions in he UTCI o up o 6.5
◦
C in SJS and 5
◦
C in CBS. Shading elemen s, such
as pe golas o canopies, educe di ec sola adia ion on su aces and people, imp o ing
he mal com o . P e ious esea ch also indica es ha shading can dec ease he MRT
by up o 20–30
◦
C [
70
]. Howe e , hese imp o emen s a e limi ed almos exclusi ely
o di ec ly shaded a eas, hus limi ing he s a egy’s e ec i eness o ce ain hou s. In
addi ion, he esul s sugges ha he canopies could educe nigh hea elease and cause a
sligh educ ion in he he mal com o obse ed du ing he nigh . This conclusion u he
suppo s p e ious s udies in he same ield [
4
], which iden i ied emo able canopies as he
bes op ion, e en hough i is no ye possible o simula e dynamic shading in ENVI-me .
Acco ding o he exis ing li e a u e [
4
,
46
], hese esul s and he educ ion eached in he
UTCI a e gene ally o be expec ed, as simila educ ions ha e been ob ained in hese and
o he s udies [38], which eached e en highe empe a u e educ ions.
T ees and g eene y can signi ican ly educe su ace and ATs h ough shading and
e apo anspi a ion, bo h on a small scale and on a la ge u ban scale, as seen in p e ious
s udies [
55
]. Meanwhile, o he s udies ha e shown ha inc easing ege a ion co e by
10–20%
can lowe ambien empe a u es by 2–3
◦
C [
71
,
72
]. Howe e , s a egies o ege a-
ion and wa e use a e e y limi ed in he exis ing a eas. In ac , hei use is uled ou in
hese a eas due o he clima e change p ojec ions o lowe p ecipi a ions. In CBS, whe e
ege a ion was al eady subs an ial, his s a egy was no e en p oposed, as i could wo sen
com o due o an inc eased RH, as demons a ed by [
4
]. Gi en he a ea’s p o ec ed he i age
s a us and limi ed space, i is no possible o add new ees in SJS. The g een wall was
he e o e p oposed as an al e na i e. Howe e , i s mic oclima ic e ec was signi ican ly
educed, and while his s a egy can be conside ed o imp o e com o pe cep ion o he
mos pa , i p oduces no essen ial measu able bene i s in e ms o empe a u e.
I was challenging o op imize he s a egy o imp o ing he ma e ial o he g ound
su ace. Acco ding o he exis ing li e a u e [
43
], high-albedo pa emen s and coa ings
e lec mo e sola adia ion, educing he ST. In ac , s udies epo a ST educ ion o
5–10 ◦C
when cooling ma e ials a e applied in exis ing u ban spaces, as p o ed p e iously [
73
].
Howe e , in his ype o squa e, p e ious simula ion esul s wi h highe albedo in his s udy
consis en ly educed he mal com o . This was caused by an inc eased MRT due o he
e lec ed adia ion. The p oximi y o e lec ing su aces due o he geome y o hese spaces
makes high-albedo ma e ial p e e ably a oidable. P e ious s udies on he consequences o
albedo in con ined spaces u he suppo his conclusion [
44
]. Fo his eason, a he han
changing he albedo, he s a egy in his s udy was o educe he hea cap u ed by ha d
ma e ials, an app oach ha has p o ed e y bene icial o com o educ ion in p e ious
s udies [
53
]. The pa ed g ass p oposed abso bs much less hea han exis ing ma e ials.
Al hough he educ ion in he UTCI was only a ew deg ees, he e ec is mo e homogeneous
in he a ea o he squa e and imp o es com o , e en in shaded a eas.
Buildings 2025,15, 564 23 o 27
4.3. Limi a ions
This s udy is limi ed o he wo case s udies analyzed, al hough he conclusions can
be ex apola ed o simila spaces in many ci ies wo ldwide wi h simila s uc u es and
clima es. O he limi a ions inhe en o he me hodology we e also ca e ully conside ed
du ing his analysis. ENVI-me simula ions a e cons ained by hei s a ic ep esen a-
ion o dynamic shading e ec s and canno accoun o long- e m empo al a iabili y.
Addi ionally, ins umen accu acy unde ex eme hea condi ions may in oduce mino
disc epancies. Despi e hese limi a ions, he combined use o ield da a, model calib a ion,
and simula ions p o ide a obus amewo k o unde s anding and mi iga ing u ban
he mal discom o in he i age con ex s.
The esul s a e also limi ed by he so wa e used, which can only simula e adi ion-
ally used ma e ials wi h s a ic cha ac e is ics. Fu u e wo k should ocus on analyzing
he po en ial o newe echnologically ad anced ma e ials, such as supe cool ma e ials,
which may be he u u e ega ding inc easing he e ec i eness o MSs unde ex eme
clima e p ojec ions, as sugges ed in p e ious s udies [
57
]. Howe e , new ools mus s ill be
de eloped o include hese cha ac e is ics in he analysis.
5. Conclusions
This s udy highligh s he c i ical impo ance o add essing he mal com o in u ban
squa es, pa icula ly in his o ic neighbo hoods such as he Casco An iguo o Se ille, whe e
he e ec s o he UHI phenomenon a e exace ba ed by he lack o ege a ion, shading,
and wa e ea u es, ypical u ban cha ac e is ics o he adi ional his o ical u ban ab ic
in old ci ies. The compa a i e analysis o SJS and CBS h ough in-pe son moni o ing and
simula ion me hods highligh s he complex in e play o adi ional u ban design elemen s,
cons uc i e ma e ial p ope ies, and mic oclima ic condi ions gene a ed by his o ic u ban
ex u es, which can be de imen al o com o e ec s unde wa m condi ions, as shown in
his s udy.
The indings e eal ha SJS expe iences signi ican ly highe he mal s ess due o i s
limi ed g eene y and shading, wi h he UTCI alues peaking a o e 44
◦
C a midday. In
con as , CBS bene i s om be e ege a ion co e age, leading o lowe UTCI alues and
enhanced he mal com o in shaded a eas. Ne e heless, CBS eco ded he highes MRT in
he s udy, 72.9
◦
C, showing su aces highly exposed o he sun. These di e ences emphasize
he pi o al ole o u ban ege a ion and shading in mode a ing he mal condi ions.
This s udy’s simula ion esul s p o ide ac ionable insigh s in o e ec i e MSs o
imp o ing he mal com o in bo h squa es:
•
Canopies eme ged as he mos impac ul in e en ion, signi ican ly educing he UTCI
alues (by up o 6.5
◦
C in SJS and 5
◦
C in CBS) du ing peak hou s by p o iding
ex ensi e shading.
•
G een walls o e ed localized cooling e ec s, lowe ing he MRT by up o 5
◦
C while
enhancing he aes he ic and ecological alues.
•
Pa ed g ass and pe meable asphal demons a ed mode a e cooling e ec s, educing
su ace and ATs in hea ily exposed and al eady shaded a eas.
These indings alida e he s a egies p oposed, highligh ing hei adap abili y o
his o ic u ban en i onmen s.
By implemen ing hese solu ions, ci y planne s can achie e a balance be ween p e-
se ing he cul u al he i age o his o ic squa es and enhancing hei clima e esilience.
Mo eo e , his esea ch p o ides aluable guidance o in eg a ing he mal com o im-
p o emen s in o u ban design, o e ing a eplicable amewo k o o he ci ies g appling
wi h he challenges o UHI and he mal discom o . This s udy ein o ces he need o
a ge ed, e idence-based in e en ions o mi iga e hea s ess in u ban squa es, ensu ing
Buildings 2025,15, 564 24 o 27
ha hese i al public spaces emain unc ional, sus ainable, and enjoyable o esiden s and
isi o s alike. By adop ing a holis ic app oach ha combines g een in as uc u e, shading
elemen s, and inno a i e ma e ials, ci ies can enhance he mal com o while p ese ing
hei his o ical and cul u al in eg i y.
Thus, policymake s a e encou aged o in eg a e he mal com o conside a ions in o
u ban planning egula ions, pa icula ly o his o ic dis ic s. This includes he p omo-
ion o adap i e shading s uc u es and g een in as uc u e o mi iga e UHI e ec s while
p ese ing cul u al he i age. Guidelines o u ban conse a ion p ojec s should inco po-
a e clima e- esilien designs, such as pe meable pa emen s and ege a ion, as s anda d
p ac ices. In con as , indus y s akeholde s, pa icula ly in he ield o a chi ec u e and
cons uc ion, a e ad ised o inno a e wi h ma e ials and designs ha enhance he mal
pe o mance while aligning wi h he i age p ese a ion p inciples. A clea example o his
can be ound in ligh weigh , modula shading solu ions and high/medium-albedo ma e i-
als sui able o his o ic se ings, which a e c i ical a eas o de elopmen . Collabo a ion
be ween he i age conse a ionis s and g een echnology de elope s can lead o scalable
solu ions o sus ainable u ban egene a ion.
Finally, u u e s udies should explo e he long- e m pe o mance o MSs unde chang-
ing clima e condi ions, inco po a ing dynamic simula ions ha ake seasonal a ia ions
in o conside a ion. Expanding he s udy o include di e en u ban o ms and clima es
could alida e hese indings and p o ide ans e able solu ions o o he he i age ci ies.
In es iga ing com o and he socio-economic impac s o he mal mi iga ion measu es,
such as communi y engagemen and cos -bene i analysis, could o e deepe insigh s o
p ac ical implemen a ion.
Au ho Con ibu ions: Concep ualiza ion, V.P.L.-C. and C.G.-M.; Da a cu a ion, P.R. and J.S.-C.; Fo -
mal analysis, P.R.; Funding acquisi ion, C.G.-M.; In es iga ion, P.R. and J.S.-C.; Me hodology, V.P.L.-C.
and C.G.-M.; P ojec adminis a ion, C.G.-M.; Resou ces, C.G.-M.; So wa e, P.R., V.P.L.-C. and J.S.-C.;
Supe ision, V.P.L.-C. and C.G.-M.; Valida ion, V.P.L.-C.; Visualiza ion, P.R.; W i ing—o iginal d a ,
P.R. and V.P.L.-C.; W i ing— e iew and edi ing, V.P.L.-C., J.S.-C. and C.G.-M. All au ho s ha e ead
and ag eed o he published e sion o he manusc ip .
Funding: This wo k has been suppo ed by he p ojec PID2021-124539OB-I00 unded by
MCIN/AEI/10.13039/501100011033 and by “ERDF A way o making Eu ope”, p ojec TED2021-
129347B-C21 unded by MCIN/AEI/10.13039/501100011033 and by he “Eu opean Union Nex Gen-
e a ionEU/PRTR”. The Minis e io de Ciencia, Inno ación y Uni e sidades suppo ed a p edoc o al
con ac g an ed o J.S.-C. (FPU21/02458), and a Juan de la Cie a Pos doc o al Fellowship was
g an ed o V.P.L.-C. (JDC2023-050880-I).
Da a A ailabili y S a emen : The au ho s will make he aw da a suppo ing his a icle’s conclusions
a ailable upon eques .
Con lic s o In e es : The au ho s decla e no con lic s o in e es .
Re e ences
1.
Uni ed Na ions, Depa men o Economic and Social A ai s, Popula ion Di ision. Wo ld U baniza ion P ospec s The 2018 Re ision
(ST/ESA/SER.A/420); Uni ed Na ions: New Yo k, NY, USA, 2019.
2.
Salih, K.; Nagy, I.R.B. Re iew o he Role o U ban G een In as uc u e on Clima e Resiliency: A Focus on Hea Mi iga ion
Modelling Scena io on he Mic oclima e and Building Scale. U ban Sci. 2024,8, 220. [C ossRe ]
3.
Yilmaz, D.; Oz u k, S. U ban Hea Island F om A 3d Modeling Pe spec i e—A Re iew. En i on. Model. Assess. 2024,29, 1111–1129.
[C ossRe ]
4.
Sola-Ca aballo, J.; Lopez-Cabeza, V.P.; Roa-Fe nández, J.; Ri e a-Gomez, C.; Galan-Ma in, C. Assessing and upg ading u ban
he mal esilience o a Spanish MoMo neighbou hood o e he span o 1960–2080. Build. En i on. 2024,256, 111485. [C ossRe ]
5.
Chu, Z.; Li, S.; Li, T.; Qian, H.; Liu, C.; Yan, Z. Nume ical simula ion o layou and landscape elemen s on he he mal en i onmen
o u ban squa es. Ecol. In o m. 2024,82, 102770. [C ossRe ]
Buildings 2025,15, 564 25 o 27
6.
Gonçal es, A.; Ribei o, A.C.; Maia, F.; Nunes, L.; Feliciano, M. In luence o g een spaces on ou doo s he mal com o -s uc u ed
expe imen in a Medi e anean clima e. Clima e 2019,7, 20. [C ossRe ]
7. Aghamolaei, R.; Azizi, M.M.; Aminzadeh, B.; O’donnell, J. A comp ehensi e e iew o ou doo he mal com o in u ban a eas:
E ec i e pa ame e s and app oaches. Ene gy En i on. 2023,34, 2204–2227. [C ossRe ]
8.
Ma uani, T.; Ami -Cohen, I. Open space planning models: A e iew o app oaches and me hods. Landsc. U ban Plan. 2007,81,
1–13. [C ossRe ]
9.
Chen, L.; Ng, E. Ou doo he mal com o and ou doo ac i i ies: A e iew o esea ch in he pas decade. Ci ies 2012,29, 118–125.
[C ossRe ]
10.
Mandi´c, L.; Ðjuki´c, A.; Ma i´c, J.; Mi o i´c, B. A Sys ema ic Re iew o Ou doo The mal Com o S udies o he U ban (Re)Design
o Ci y Squa es. Sus ainabili y 2024,16, 4920. [C ossRe ]
11.
Zhang, J.; Zhang, F.; Jiang, L.; Guo, W.; Cao, Q.; Shi, M.; Xiao, A. Compa a i e e iew o u ban geome ic pa ame e s and hei
uses in ou doo he mal en i onmen s udies. J. U ban Manag. 2024,13, 541–552. [C ossRe ]
12.
Tan, Y.; Li, C.; Feng, H.; Yang, J. Explo ing he Land Co e Ma e ial In e ac ion o U ban Open Space on he The mal Com o o
C owds in High-Tempe a u e En i onmen s and Re o i S a egies: Two Case S udies in he Nanjing Xinjiekou Dis ic . Land
2024,13, 314. [C ossRe ]
13.
da Sil a, P.W.S.; Dua e, D.H.S.; Rahman, M.A.; Rö ze , T.; Paulei , S. Tes ing S a egies o Plan ing Design in U ban Squa es o
Imp o e Human Com o h oughou he Seasons. A mosphe e 2024,15, 870. [C ossRe ]
14.
Bane jee, S.; Pek, R.X.Y.; Yik, S.K.; Ny Ching, G.; Ho, X.T.; Dzyuban, Y.; C ank, P.J.; Ace o, J.A.; Chow, W.T. Assessing impac o
u ban densi ica ion on ou doo mic oclima e and he mal com o using ENVI-me simula ions o Combined Spa ial-Clima ic
Design (CSCD) app oach. Sus ain. Ci ies Soc. 2024,105, 105302. [C ossRe ]
15.
Pis o e, L.; Pasu , W. Roo s and Mechanisms o The mal Com o Expec a ions: F om Indi iduals’ Own Backg ound o Adap a ion
and Change. In P oceedings o he 5 h In e na ional Con e ence on Building Ene gy and En i onmen ; Wang, L.L., Ge, H., Zhai, Z.J., Qi,
D., Ou , M., Sun, C., Wang, D., Eds.; Sp inge Na u e: Singapo e, 2023; pp. 2325–2336.
16.
Lenzuni, P.; F eda, D.; Del Gaudio, M. Classi ica ion o he mal en i onmen s o com o assessmen . Ann. Occup. Hyg. 2009,53,
325–332. [C ossRe ] [PubMed]
17.
Ahmed, N.M.; Al amu a, P.; Giampaole i, M.; Hemeida, F.A.; Mohamed, A.F.A. Op imizing human he mal com o and
mi iga ing he u ban hea island e ec on public open spaces in Rome, I aly h ough sus ainable design s a egies. Sci. Rep. 2024,
14, 19931. [C ossRe ] [PubMed]
18.
Njoku, C.A.; Da amola, M.T. Human Ou doo The mal Com o Assessmen in a T opical Region: A Case S udy. Ea h Sys .
En i on. 2019,3, 29–42. [C ossRe ]
19. Bła˙
zejczyk, K. UTCI—10 yea s o applica ions. In . J. Biome eo ol. 2021,65, 1461–1462. [C ossRe ]
20.
B ech , B.M.; Schädle , G.; Schippe , J.W. UTCI clima ology and i s u u e change in Ge many—An RCM ensemble app oach.
Me eo ol. Z. 2020,29, 97–116. [C ossRe ]
21. UTCI—Uni e sal The mal Clima e Index. n.d. A ailable online: h p://www.u ci.o g/ (accessed on 3 June 2020).
22. Jend i zky, G.; de Dea , R.; Ha eni h, G. UTCI—Why ano he he mal index? In . J. Biome eo ol. 2012,56, 421–428. [C ossRe ]
23.
K üge , E.L. Li e a u e Re iew on UTCI Applica ions. In Applica ions o he Uni e sal The mal Clima e Index UTCI in Biome eo ology:
La es De elopmen s and Case S udies; K üge , E.L., Ed.; Sp inge In e na ional Publishing: Cham, Swi ze land, 2021; pp. 23–65.
[C ossRe ]
24.
Lee, H.; Pa k, S.; Maye , H. App oach o he e ical wind speed p o ile implemen ed in he UTCI basics blocks UTCI applica ions
a he u ban pedes ian le el. In . J. Biome eo ol. 2024, 1–14. [C ossRe ] [PubMed]
25.
Feng, L.; Yang, S.; Zhou, Y.; Sun, J. Op imiza ion s a egy o a chi ec u al o ms o imp o e he he mal com o o esiden ial a ea.
J. Build. Eng. 2024,86, 108905. [C ossRe ]
26.
Li, Y.; Zhang, Y.; Wang, Y.; Song, Z.; Zhou, Z.; Ding, L.; Chen, C.; Jin, X.; Cheng, Y. Assessing he mal com o o he elde ly in
his o ical dis ic s and p oposing adap i e u ban design s a egies: A case s udy in Zhenjiang, China. Landsc. Ecol. Eng. 2024,21,
29–46. [C ossRe ]
27.
Lin, C.; Wu, Z.; Li, H.; Huang, J.; Huang, Q. Comp ehensi e analysis on he he mal com o o a ious g eening o ms: A s udy
in ho -humid a eas. En i on. Res. Commun. 2024,6, 025010. [C ossRe ]
28.
Yahia, M.W.; Johansson, E.; Tho sson, S.; Lindbe g, F.; Rasmussen, M.I. E ec o u ban design on mic oclima e and he mal
com o ou doo s in wa m-humid Da es Salaam, Tanzania. In . J. Biome eo ol. 2018,62, 373–385. [C ossRe ] [PubMed]
29.
Coccolo, S.; Paoli, M.D.; S acqualu si, A.; And eucci, M.B. Design he U ban Mic oclima e: Na u e-Based Solu ions and
Technology a Nexus. In U ban Se ices o Ecosys ems: G een In as uc u e Bene i s om he Landscape o he U ban Scale; Ca alano,
C., And eucci, M.B., Gua ino, R., B e zel, F., Leone, M., Pas a, S., Eds.; Sp inge In e na ional Publishing: Cham, Swi ze land,
2021; pp. 413–433. [C ossRe ]
30.
Gomaa, M.M.; El Menshawy, A.; Nabil, J.; Ragab, A. In es iga ing he Impac o Va ious Vege a ion Scena ios on Ou doo The mal
Com o in Low-Densi y Residen ial A eas o Ho A id Regions. Sus ainabili y 2024,16, 3995. [C ossRe ]