Business epo
Deli e able 6.8
Accele a ing and upscaling ans o ma ional adap a ion in
Eu ope: demons a ion o wa e - ela ed inno a ion
packages
This p ojec has ecei ed unding om he Eu opean Union’s Ho izon H2020 inno a ion ac ion
p og amme unde g an ag eemen 101036683.
T ans o mAR Deli e able 6.8
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Deli e able Numbe and
Name
D6.8 – Business epo
Wo k Package
WP6 – WP Accep ance, building and exploi a ion o inno a ion
packages
Dissemina ion Le el
Public
Au ho (s)
Te esa Six o Anello
P ima y Con ac and Email
[email p o ec ed]
Da e Due
31.07.2025
Da e Submi ed
31.07.2025
File Name
D6.8_Business_ epo
S a us
DRAFT
Re iewed by (i applicable)
Sugges ed ci a ion
Te esa Six o Anello (2025) Business epo . T ans o mAR
Deli e able 6.8, H2020 g an no. 101036683
© T ans o mAR Conso ium, 2021
This deli e able con ains o iginal unpublished wo k excep when indica ed o he wise. Acknowledgemen
o p e iously published ma e ial and o he wo k o o he s has been made h ough app op ia e ci a ion,
quo a ion, o bo h. Rep oduc ion is au ho ised i he sou ce is acknowledged.
This documen has been p epa ed in he amewo k o he Eu opean p ojec T ans o mAR. This p ojec
has ecei ed unding om he Eu opean Union’s Ho izon 2020 inno a ion ac ion p og amme unde g an
ag eemen no. 101036683.
The sole esponsibili y o he con en o his publica ion lies wi h he au ho s. I does no necessa ily
ep esen he opinion o he Eu opean Union. Nei he he CINEA no he Eu opean Commission a e
esponsible o any use ha may be made o he in o ma ion con ained he ein.
T ans o mAR Deli e able 6.8
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TABLE OF CONTENTS
EXECUTIVE SUMMARY .............................................................................. 6
1.0 PROJECT RESULTS ............................................................................. 7
1.1 P ojec ou comes and Key Exploi able Resul s analysed. ................... 7
1.2 Selec ion o mos p omising esul s. ............................................ 25
2.0 MARKET VALIDATION ....................................................................... 26
2.1 P ojec esul s in echnology ans e e en . ................................. 26
2.2 Demons a o s’ egional e en s .................................................. 27
2.3 Ma ke analysis o mos p omising solu ions. ................................ 31
2.3.1 Ci izen App ............................................................................ 33
2.3.2 Na u e-Based Solu ions in he Wes Coun y Region ..................... 34
2.3.3 Sma G id and Ga es .............................................................. 34
2.3.4 S o mwa e Moni o ing/Modula Sys em ..................................... 35
2.3.5 Mussel-Ra Moni o ing ............................................................ 35
2.3.6 In e idal Moni o ing ................................................................ 36
3.0 BUSINESS MODEL CANVAS................................................................ 36
3.1 Ci izen App ............................................................................. 38
3.2 Sma Clima e S a ions ............................................................. 39
3.3 S uden s Awa eness Raising ...................................................... 40
3.4 Demand analysis o social se ices and in as uc u es .................. 41
3.5 Clima e Inno a ion Hub............................................................. 42
3.6 Insu ance scheme .................................................................... 43
3.7 Mussel-Ra Moni o ing ............................................................. 44
3.8 In e idal moni o ing................................................................. 45
3.9 Resilience index ....................................................................... 46
3.10 Nudging Solu ions .................................................................... 47
3.11 Local Adap a ion und ............................................................... 48
3.12 Na u e-Based Solu ions in he Wes Coun y Region ...................... 49
3.13 Paymen o Ecosys em Se ices ................................................ 50
3.14 Coas al con ac s ..................................................................... 51
3.15 Sma G id and Ga es ............................................................... 52
3.16 Na u e-Based Solu ions in Lappeen an a ...................................... 53
3.17 S o mwa e Moni o ing/Modula Sys em ...................................... 54
3.18 Choice Expe imen s .................................................................. 55
3.19 Ca alogue o echnology solu ion ................................................ 56
3.20 Adap i e T ans o ma ion Playbook .............................................. 57
3.21 Da a isualisa ion pla o m ........................................................ 58
3.22 Policy b ie .............................................................................. 59
3.23 Replica ion guide and eplica ion po en ial o indi idual solu ions ..... 60
4.0 SWOT AND RISK ASSESSMENT ANALYSIS ............................................ 61
4.1 SWOT Analysis ........................................................................ 61
4.2 Risk Assessmen Analysis .......................................................... 62
5.0 FINAL CONCLUSIONS ....................................................................... 63
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5.1 P ojec esul s in ech ans e e en ........................................... 63
5.2 Demons a o s’ egional e en s .................................................. 64
5.3 Ma ke analysis o mos p omising solu ions ................................. 65
LIST OF FIGURES
Figu e 1. One page o p ojec esul s exposed in T ans ie e – Eu opean Fo um o Science, Technology
and Inno a ion in Malaga (Spain) 12-14 ma cg 2025. ............................................................................... 26
Figu e 2. One page p oduced o sha ing p ojec esul s wi h ele an s akeholde s in e en s. ............ 27
Figu e 3. SWOT analysis based on he selec ion o he mos p omising esul s ....................................... 61
Figu e 4. Ba ie s iden i ied in he analysis o he esul ing su eys in each egion o each o he
de eloped solu ions ................................................................................................................................... 64
Figu e 5. Type o ins i u ion iden i ied in he analysis o he esul ing su eys in each egion o each o
he de eloped solu ions ............................................................................................................................ 64
Figu e 6. Analysis o he in e es in inco po a ing he p oposed echnology o he ma ke . ................... 65
LIST OF TABLES
Table 1. Lis o p ojec Key Exploi able Resul s, i s desc ip ion, in ol ed pa ne s and associa ed IPR. .... 9
Table 2. The esul s ob ained om he analysis o he esul ing su eys in each egion o each o he
de eloped solu ions ................................................................................................................................... 28
Table 3. Analysis o pain poin s and needs o he ecommended a ge segmen o he Ci izen App .... 33
Table 4. Analysis o pain poin s and needs o he end-use o he Ci izen App ....................................... 33
Table 5. Analysis o pain poin s and needs o he ecommended a ge segmen o he Na u e-Based
Solu ions in he Wes Coun y Region ....................................................................................................... 34
Table 6. Analysis o pain poin s and needs o he ecommended a ge segmen o he Res o a ion and
c ea ion o Sma G id and Ga es .............................................................................................................. 34
Table 7. Analysis o pain poin s and needs o he ecommended a ge segmen o S o mwa e
Moni o ing/Modula Sys em ..................................................................................................................... 35
Table 8. Analysis o pain poin s and needs o he ecommended a ge segmen o Mussel-Ra
Moni o ing ................................................................................................................................................. 35
Table 9. Analysis o pain poin s and needs o he ecommended a ge segmen o In e idal Moni o ing
................................................................................................................................................................... 36
Table 10. Business model can as o ci izen app ....................................................................................... 38
Table 11. Business model can as o Sma Clima e S a ions ................................................................... 39
Table 12. Business model can as o S uden s Awa eness Raising ........................................................... 40
Table 13. Business model can as o Demand analysis o social se ices and in as uc u es ................ 41
Table 14. Business model can as o Clima e Inno a ion Hub .................................................................. 42
Table 15. Business model can as o Insu ance scheme ........................................................................... 43
Table 16. Business model can as o Mussel-Ra Moni o ing .................................................................. 44
Table 17. Business model can as o In e idal moni o ing ...................................................................... 45
Table 18. Business model can as o Resilience index .............................................................................. 46
Table 19. Business model can as o Nudging Solu ions ........................................................................... 47
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Table 20. Business model can as o Local Adap a ion Fund .................................................................... 48
Table 21. Business model can as o Na u e-Based Solu ions in he Wes Coun y Region ..................... 49
Table 22. Business model can as o Paymen o Ecosys em Se ices .................................................... 50
Table 23. Business model can as o Coas al con ac s ............................................................................ 51
Table 24. Business model can as o Sma G id and Ga es ...................................................................... 52
Table 25. Business model can as o Na u e-Based Solu ions in Lappeen an a ....................................... 53
Table 26. Business model can as o S o mwa e Moni o ing/Modula Sys em ...................................... 54
Table 27. Business model can as o Choice Expe imen s ........................................................................ 55
Table 28. Business model can as o Ca alogue o echnology solu ion ................................................... 56
Table 29. Business model can as o Adap i e T ans o ma ion Playbook ................................................ 57
Table 30. Business model can as o Da a isualisa ion pla o m ............................................................. 58
Table 31. Business model can as o Policy b ie ...................................................................................... 59
Table 32. Business model can as o Replica ion guide and eplica ion po en ial o indi idual solu ions60
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EXECUTIVE SUMMARY
This documen p esen s he Deli e able D6.8 Business epo , as a comp ehensi e o e iew o he
ou comes, ma ke alida ion, and business modelling ac i i ies ca ied ou wi hin he amewo k o he
T ans o mA p ojec . The epo is s uc u ed in o ou main sec ions, each add essing a c i ical phase in
he jou ney om inno a ion o ma ke eadiness.
The p ojec gene a ed a wide ange o inno a i e solu ions aimed a enhancing clima e esilience,
en i onmen al moni o ing, and sus ainable esou ce managemen . A o al o 23 Key Exploi able Resul s
(KERs) we e analysed, co e ing digi al ools, na u e-based solu ions, go e nance mechanisms, and
inancial ins umen s. F om his po olio, a subse o he mos p omising esul s was selec ed based on
hei scalabili y, ma ke po en ial, and s akeholde ele ance.
The selec ed solu ions we e es ed and p omo ed h ough a ge ed dissemina ion and alida ion
ac i i ies:
• Pa icipa ion in a echnology ans e e en e ealed s ong in e es om public and p i a e
s akeholde s, con i ming he ele ance o he solu ions.
• Regional demons a o e en s played a key ole in engaging i s use s and collec ing eedback
om local ac o s, which is essen ial o e ining and adap ing he ools.
• A ma ke analysis was conduc ed o he op solu ions. These analyses p o ided insigh s in o
use needs, adop ion ba ie s, and s a egic posi ioning.
Tailo ed business models we e de eloped o each solu ion, using he Business Model Can as amewo k.
These models add ess alue p oposi ions, cus ome segmen s, e enue s eams, and key pa ne ships.
Solu ions ange om digi al pla o ms and awa eness- aising ools o insu ance schemes, local adap a ion
unds, and paymen o ecosys em se ices. The di e si y o models e lec s he mul i-sec o al na u e o
he p ojec and i s po en ial o eplica ion ac oss di e en egions and con ex s.
As a inal conclusion we could ind ou ha he p ojec demons a ed s ong alignmen be ween i s
inno a ions and eal-wo ld needs. The combina ion o echnical alida ion, s akeholde engagemen , and
ma ke analysis has laid a solid ounda ion o u u e exploi a ion. Con inued e o s in egional ou each,
co-c ea ion wi h demons a o s akeholde s, and pa icipa ion in s a egic e en s a e ecommended o
accele a e adop ion and ensu e long- e m impac .
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1.0 PROJECT RESULTS
Clima e change impac s a e al eady widesp ead, a ec ing people, economies, and ecosys ems in an
une en manne ac oss Eu ope. Acco ding o he Eu opean Commission’s EU Adap a ion Bluep in and
he IPCC, add essing hese isks equi es ans o ma ional adap a ion (TA) — he accele a ion and
upscaling o sys emic clima e change adap a ion.
The T ans o mA p ojec ocuses on o e coming key ba ie s o TA iden i ied in he EU Bluep in ,
including:
• Lack o high-quali y da a
• Gaps in knowledge and slow deploymen o solu ions
• Low awa eness o he u gency o adap a ion
• Insu icien inancial and human esou ces o mo e om planning o implemen a ion
T ans o mA aims o de elop and demons a e inno a i e solu ions and pa hways ha enhance bo h
clima e and social esilience, enabling apid and deep adap a ion ac oss Eu ope. This will be achie ed
h ough a co-inno a ion p ocess in ol ing s akeholde s om six demons a o egions, whe e con ex -
speci ic ans o ma ional pa hways will be co-c ea ed and es ed.
1.1 P ojec ou comes and Key Exploi able Resul s analysed
The p ojec implemen ed 20 clima e adap a ion solu ions ac oss 6 demons a ion si es and 1 eplica ion
si e in Eu ope: Lappeen an a (Finland), Wes Coun y Region (UK), Guadeloupe (F ance), Galicia (Spain),
O is ano (I aly), Egaleo (G eece), and Gjø ik (No way, eplica ing Lappeen an a).
The solu ions we e g ouped in o i e ca ego ies, wi h ou solu ions pe ca ego y:
1. Na u e-based solu ions
2. Technological and digi al solu ions
3. Awa eness- aising and beha iou al change solu ions
4. Go e nance schemes
5. Insu ance, inancial, and economic schemes
Each si e co-de eloped ailo ed solu ions h ough a co-inno a ion p ocess. No able examples include:
• Ci izen apps o awa eness and c owdsou cing in Lappeen an a, Gjø ik, and Egaleo.
• Flexible unding mechanisms explo ed in he Wes Coun y and Guadeloupe.
• Digi al en i onmen al moni o ing, such as mussel a and in e idal moni o ing in Galicia.
• Go e nance inno a ions, including coas al con ac s (O is ano) and a esilience index (Galicia).
• Na u e-based in e en ions o lood mi iga ion in he Wes Coun y and Lappeen an a.
Key common ea u es ac oss solu ions:
• S ong s akeholde engagemen and pa icipa o y app oaches
• Use o digi al ools o high- esolu ion da a collec ion
• S uc u al mechanisms like insu ance schemes and go e nance amewo ks
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Main challenges encoun e ed o esul s adop ion:
• Sus aining s akeholde in ol emen o e ime
• Need o mo e lexible and suppo i e go e nance
• Da a a ailabili y issues impac ing solu ion e ec i eness
• Technical limi a ions o some digi al ools unde ex eme wea he condi ions
A compa ison wi h he Eu opean En i onmen Agency’s 2024 epo e ealed alignmen in ypes o
solu ions and challenges bu highligh ed wo gaps:
• The need o be e inco po a e social jus ice conside a ions
• A lack o obus quan i a i e e idence o e alua e impac
Key ools de eloped wi hin T ans o mA o suppo policymake s and p ac i ione s include:
• Adap i e Pa hways T ans o ma ion Playbook – guidance o s akeholde -d i en planning
• Clima e Impac s Online Eu ope Tool – quick access o egional clima e isk da a
• T ans o ma ional Adap a ion Sco eca d – assesses how ans o ma i e solu ions a e
• Replicabili y Assessmen Tool – e alua es he po en ial o eplica e solu ions
In Task 6.4, Exploi a ion, IPR S a egy, Business Model and Planning o Iden i ied Solu ions, hese key
esul s and solu ions de eloped wi hin T ans o mA we e analysed, wi h he objec i e o suppo ing hei
long- e m exploi a ion and sus ainabili y beyond he p ojec ’s li e ime. This deli e able builds upon he
ounda ions laid ou in he T ans o mA Exploi a ion Plan (Deli e able D6.7), by u he de ailing he
business model associa ed wi h he mos p omising solu ions iden i ied du ing he p ojec .
The ocus o his documen is on he con inui y and u u e iabili y o hese solu ions. I p esen s ailo ed
business model elemen s and s a egic ecommenda ions o guide u u e de elopmen , eplica ion, and
ma ke up ake. The analysis includes conside a ions o In ellec ual P ope y Righ s (IPR) and po en ial
alue chains, ensu ing ha he inno a i e ou comes o T ans o mA can con ibu e o b oade clima e
adap a ion e o s ac oss Eu ope.
In Table 1, he indi idual Key Exploi able Resul s (KERs) de i ed om he analysis o he p ojec
ou comes a e p esen ed. Fo each KER, he able includes a b ie desc ip ion, he pa ne s in ol ed in i s
de elopmen and in ended exploi a ion, as well as any associa ed In ellec ual P ope y Righ s (IPR)
conside a ions. This analysis was c ea ed conside ing exploi a ion in en ions om pa ne s, du ing
speci ic indi idual sessions execu ed o discuss each KER u u e con inui y and ela ed IPR.
T ans o mAR Deli e able 6.8
Table 1. Lis o p ojec Key Exploi able Resul s, i s desc ip ion, in ol ed pa ne s and associa ed IPR.
SOLUTION
DESCRIPTION
INVOLVED PARTNERS
IPR
Ci izen App - Mobile
applica ion o
c owd sensing and
eal- ime moni o ing
o ex eme looding
o o he causes due
o CC e en s by
ci izens.
Ci izen Applica ion Egaleo: The Ci izen app is a web app (mobile
adap i e web page) whe e ci izens a e able o epo looding e en s
o he municipali y. The ci izens can epo loca ion, desc ip ion and
upload pho os. All obse a ions om he app a e isible o all use s,
including hei s a us (Recei ed, In es iga ing, Sol ed, e c..). The
epo ing ci izen can choose how hey wan o be no i ied abou he
handling o he si ua ion.
In Egaleo he Ci izen App enables eal- ime ale s and educa ional
con en on clima e isks, ailo ed o he local con ex . Al hough
adop ion emains limi ed, i was es ed du ing school-based ac i i ies
and public e en s, suppo ing awa eness. I s modula design allows
eplica ion by o he municipali ies seeking di ec channels o
communica ion wi h ci izens on clima e adap a ion.
Ci izen Applica ion Lappeen an a: Ci ySen.App is a p og essi e web
applica ion which ope a es di ec ly in he b owse wi hou
downloading om app s o es. The a ge audience o he applica ion
a e he ci izens, who can epo anomalies e.g. looding and upload
pho os o hem o gi e eedback o he ci y. Ci izens can also iew he
si ua ion in s o m wa e sys em: quan i y and quali y o s o m wa e .
Also, s ee wo ks, ai quali y and wea he in o ma ion a e
dis ibu ed. Via Ci ySen.App ci izens and especially schools can
pa icipa e in ci izen science. The e is a obse a ion o m, whe e
use s can upload hei own wa e sample da a. Obse a ions a e
isible o o he use s in he map.
GJØVIK KOMMUNE (Gjø ik
commune), No way
LAPPEENRANTA KAUPUNKI
(LAPPEENRANTA), Finland
DIMOS EGALEO (Ci y o
Egaleo), G eece
Apps c ea ed and
egis e ed.
Open-sou ce app wi h
anonymized da a
p o ocols.
No p op ie a y
es ic ions.
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This solu ion wo ks on he:
o
Calib a ion o a mo phodynamical model o deciphe he
consequences o he Clima e Change on he Galician
sandbanks e ain.
Nudging Solu ions -
Nudge design and
unde s anding he
ac o o
pe sonaliza ion
(based on he Ly ics
p og am). Cogni i e
design a e ac s and
beha iou al
economics a e ac s
eleased o end-
use s a speci ic
momen s in ime,
o en co ela ed o a
igge and s a e o
mind, o de elop a
new sus ainable
beha iou ocusing
mainly on ou ism in
he p ojec
implemen a ion
Nudging is a beha iou al s a egy ha sub ly in luences indi iduals o
make choices ha bene i hemsel es o socie y wi hou es ic ing
hei eedom u ilizing lye s, s icke s, and senso s wi h da a
con ibu ing o clima e adap a ion s a egies in he egion. Cogni i e
design a i ac s and beha iou al economics ools we e deli e ed o
end-use s a speci ic momen s, o en igge ed by hei s a e o mind,
o encou age he adop ion o sus ainable beha iou s. This app oach
p ima ily a ge ed ou ism, le e aging ca e ully imed in e en ions
o os e las ing, en i onmen ally iendly habi s.
This g oup o solu ions a e a ge ed a ci izens aiming o igge be e
beha iou , which is he case o he i s solu ion o o educa e new
gene a ions speci ically on wha is clima e change.
AGENCE DE
L´ENVIRONNEMENT ET DE
LAMAITRISE DE LÉNERGIE
(ADEME), F ance
Copy igh
S uden s Awa eness
Raising - Moni o he
impac o he p ojec
ac i i ies on he local
popula ion -
educa ional ma e ial
MOE de elops and es s a cu iculum o 45 min o pupils be ween
13-15 yea s old ela ed o clima e change unde s anding and clima e
awa eness. Beyond his, a li ing lab is being c ea ed wi h he
pa icipa ion o he communi y, wi hin he amewo k o which
s akeholde s design ac ions o add ess he impac s o clima e change.
DIMOS EGALEO (Ci y o
Egaleo), G eece
Educa ional ma e ials
de eloped by NCSRD;
may equi e
a ibu ion i eused.
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o be de eloped o
he young and
school pupils o
p omo e clima e
neu ali y and
awa eness,
pe cep ion o CC and
po en ial impac s.
This solu ion has al eady been eused h ough o he EU p ojec s (e.g.
Rock he Block), while Sma Clima e S a ions suppo clima e da a
moni o ing ac oss ini ia i es. Thei con inui y is also secu ed h ough
hei inclusion in he municipali y’s adap a ion planning pa hways.
Resilience index -
S imula e
beha iou al change
h ough he c ea ion
o a esilience index
o he mussel
aquacul u e sec o .
The Resilience Index (RI) is a decision-suppo ool ha e alua es he
adap i e capaci y o alue chain ope a ions o clima e change. I
in eg a es clima e p ojec ions, ope a ional p ocesses, and expe
inpu o assess how well a sec o —such as mussel aquacul u e—can
espond o clima e haza ds. The ool is based on a ma hema ical
o mula ha ela es isk scena ios wi h esilience ac o s and
calcula es pe o mance ac oss i e key dimensions: Go e nance,
R&D, Risk Managemen , Collabo a ion, and Ope a ional
En i onmen . The esul is a isual, an easy- o-unde s and dashboa d
ha iden i ies c i ical ulne abili ies and a eas wi h he highes
po en ial o imp o emen . This enables decision-make s o p io i ize
ac ions and alloca e esou ces mo e e icien ly o enhance esilience
and sus ainabili y.
UNIVERSIDAD DE VIGO
(UVIGO), Spain
Copy igh
Coas al con ac s -
Ins umen o
ensu ing g ea e
coo dina ion
be ween di e en
le els o spa ial
planning and
au ho i ies in cha ge
o coas al we lands
managemen , while
limi ing con lic s
COAST p o ides a comp ehensi e amewo k o he in eg a ed
managemen o coas al we lands and unc ions h ough a olun a y,
mul i-s akeholde go e nance model.
COAST aligns local and in e na ional goals o biodi e si y p o ec ion,
clima e adap a ion, and socioeconomic esilience. As pa o he
T ans o mA p ojec , local communi ies ha e u he engaged in
clima e esilience planning, ecognizing ha we lands a e key na u al
asse s o bo h biodi e si y and local economies.
Ano he impo an poin o he COAST con ibu ion unde
T ans o mA unds, is he es ablishmen o he Local We land
Obse a o y (LWO).
MEDITERRANEAN SEA AND
COST FOUNDATION
(MEDSEA), I aly
Copy igh
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be ween
p ese a ion issues
and economic
ac i i ies. P omo es
olun a y
ag eemen s
be ween public
ins i u ions and
p i a e indi iduals,
new o ms o
ins i u ional
coope a ion, new
ways o in eg a ing
he di e en
p ac ices o spa ial
and sec o al
planning.
LWO plays a cen al ole in moni o ing he ecological heal h o he
O is ano we lands. I se es as a hub o scien i ic da a collec ion,
ensu ing ha decision-making is e idence-based and esponsi e o
en i onmen al changes. By acking wa e quali y, biodi e si y, and
clima e impac s, he LWO p o ides c i ical insigh s ha guide he
managemen ac ions ou lined in COAST.
Demand analysis o
social se ices and
in as uc u es -
Con inuous
assessmen o
clima e “deep
esilience” o SI,
ollowing H2020-EU-
CIRCLE p ojec
me hodology,
c ea ing s onge
social ne wo ks and
educing inequali y.
This solu ion aims o an icipa e and quan i y how clima e change will
a ec he demand o municipal social and heal h se ices in Egaleo.
By conduc ing a comp ehensi e analysis o u u e needs, he
municipali y seeks o ensu e se ice con inui y, adap in as uc u e
planning, and p io i ise ulne able g oups. The esul ing da a will
eed in o Egaleo’s long- e m clima e adap a ion s a egy, suppo ing
e idence-based decision-making. This ype o an icipa o y planning is
eplicable in o he u ban con ex s acing simila socioeconomic and
clima e p essu es.
DIMOS EGALEO (Ci y o
Egaleo), G eece
Me hodology co-
de eloped; no
pa en ed. May be
documen ed in
academic publica ion.
Clima e Inno a ion
Hub - Wi hin he
MOE ans o ms a mul i-pu pose acili y in o a Clima e Inno a ion
Hub by: (a) es ablishing a pe manen exhibi ion on clima e change
DIMOS EGALEO (Ci y o
Egaleo), G eece
Ccommuni y co-
c ea ed ma e ial.
T ans o mAR Deli e able 6.8
19
www. ans o ma .eu
exis ing Municipal
Inno a ion Hub,
p omo ing g een,
esilien and clima e
iendly
en ep eneu ship
owa ds he c ea ion
o a Clima e
Inno a ion Hub
and he T ans o mA solu ions implemen ed by MOE, (b) showcasing
eal- ime da a s eaming om Sma Ci y Sys ems (SCS) along wi h
he pos -p ocessed indica o s, and (c) o ganizing a se ies o e en s
aimed a p omo ing clima e inno a ion (e.g., da a hons).
These ini ia i es aim o p o ide public - ela ed da a, encou age
inno a i e solu ions, and a e suppo ed by g een bonds o add ess
he municipali y’s clima e challenges. This solu ion has al eady been
eused h ough o he EU p ojec s (e.g. Rock he Block), while Sma
Clima e S a ions suppo clima e da a moni o ing ac oss ini ia i es.
Thei con inui y is also secu ed h ough hei inclusion in he
municipali y’s adap a ion planning pa hways.
Copy igh .
Paymen o
Ecosys em Se ices -
The iden i ica ion
and use o change-
agen s as a b oke
be ween p i a e
buye s and p i a e
selle s ha allow o
complex and laye ed
en i onmen al
goods and se ices
o be ansac ed.
The ole o he change-agen is o pull oge he all s akeholde s and
seek ag eemen on he p o ocols needed o assess he cos s and he
bene i s ei he o secu e u u e public unding o he measu emen ,
accoun ing and e i ica ion needed o make goods and se ices
bankable.
WESTCOUNTRY RIVERS
TRUST LBG (WRT), Uni ed
Kingdom
Base on public
in o ma ion.
Regula o y au ho i ies
and public sec o
alida ion o c edi s.
Local Adap a ion
und - Va ious
inancial lows exis ,
om he F ench
public agencies a
local and na ional
le el, bu also EU-
The Adap a ion Fund is a inancial mechanism designed o suppo
he de elopmen and implemen a ion o p ojec s ha help
ulne able communi ies adap o he impac s o clima e change.
Unlike adi ional unds ocused on mi iga ion, he Adap a ion Fund
speci ically a ge s e o s o build esilience agains clima e isks such
as loods, d ough s, and ex eme wea he e en s. In Guadeloupe, he
Local Adap a ion Fund (FLAG) was es ablished as pa o he
AGENCE DE
LÉNVIRONNEMENT ET DE
LAMAITRISE DE LÉNERGIE
(ADEME), F ance
Copy igh
T ans o mAR Deli e able 6.8
20
www. ans o ma .eu
wide. Fo
in es men s a local
le el, in his case he
o e seas egion o
Guadeloupe, he e is
no ha monised
ision on inancing in
clima e change
adap a ion. A need
exis s o be e
cohesion o
di ec exis ing lows
in o speci ic ypes o
adap a ion’s ac ions.
Mechanisms will be
se up, esul ing in
a und, on how o
bundle and ca alyse
inancial lows in
Guadeloupe wi h
he speci ic aim o
clima e adap a ion.
T ans o mA p ojec o ill he gap whe e mos unding was
p e iously di ec ed owa d mi iga ion e o s. FLAG is F ance’s mos
ad anced adap a ion und, aiming o ealloca e esou ces o local
clima e solu ions, os e pa ne ships, and b idge public-p i a e gaps.
FLAG has al eady suppo ed six adap a ion p ojec s o aling €1.24
million, wi h con ibu ions om bo h public and p i a e in es o s.
Choice Expe imen s -
Choice expe imen s
o s o mwa e
managemen sys em
upscaling.
Su ey o ci izens (homeowne s e c.), o ind ou hei willingness o
pay o s o m wa e solu ions on hei own p ope y.
GJØVIK KOMMUNE (Gjø ik
commune), No way
LAPPEENRANTA KAUPUNKI
(LAPPEENRANTA), Finland
COPYRIGHT
Insu ance schemes -
De elopmen and
alida ion o
damage unc ions,
The insu ance indus y needs o knows i and whe e damage is
expec ed o inc ease in he upcoming decades o c ea e heal hy
insu ance schemes. In his way, he e ec i eness o he o he
inancial schemes is secu ed, and he isk o dis up ion is limi ed.
All
Copy igh
T ans o mAR Deli e able 6.8
21
www. ans o ma .eu
as pa o clima e
p oo ing
A en ion o insu ance schemes is impo an o add ess unce ain y
in clima e e en s. I is impossible o p o ec ou sel es agains he
impac o clima e e en s pe ec ly.
The e o e, he e is a need o p o ide insu ance and p o ec us agains
he ex eme isks ha clima e e en s can ha e.
As a esul , dealing wi h he consequences equi es majo inancial
e o s o compensa e o losses, and in his con ex , insu ance has
a ac ed much a en ion la ely as a ool in clima e isk managemen .
In addi ion o inancial compensa ion o losses a e an ex eme
wea he e en , insu ance can p o ide incen i es o educe isk, and
po en ial in es o s o en ask o insu ance o sa e hei in es men .
Adap i e
T ans o ma ion
Playbook
P ac ical ool o suppo communi ies in co-c ea ing clima e
adap a ion pa hways h ough pa icipa o y wo kshops. I s p ima y
objec i e is o guide he o ganisa ion and mode a ion o hese
wo kshops, ensu ing ha discussions ocus on adap a ion s a egies
in an engaging and in e ac i e manne .
VERHAERT NEW
PRODUCTS & SERVICES NV
(Ve hae ), Belgium
ACTERRA (ACTERRA),
F ance
FONDAZIONE CENTRO
EURO-MEDITERRANEOSUI
CAMBIAMENTI CLIMATICI
(FONDAZIONE CMCC), I aly
E3-MODELLING AE (E3-
MODELLING AE), G eece
UNIVERSITEIT
ANTWERPEN,
(UANTWERPEN), Belgium
Copy igh
Da a isualisa ion
pla o m
1
In e ac i e web po al enables use s o explo e obse ed and
p ojec ed clima e change impac s ac oss Eu ope
Key ea u es include
:
POTSDAM INSTITUT FUER
KLIMAFOLGENFORSCHUNG
(PIK), Ge many
Copy igh
1
k o.pik-po sdam.de/eu /index_en.h ml?language_id=en
T ans o mAR Deli e able 6.8
22
www. ans o ma .eu
•
Mul i-sec o al analysis
: Co e s c i ical a eas such as clima e
pa ame e s, wa e cycle, ag icul u e, public heal h, and
socioeconomic dimensions.
•
Tempo al dep h
: O e s isualiza ion o bo h his o ical da a
ends and u u e clima e scena ios.
•
Use - iendly in e ace
: Designed o easy na iga ion,
including mobile compa ibili y, wi h sec o and egion
selec ion ools .
•
Policy and decision-suppo
: Se es as a aluable esou ce o
policymake s, planne s, scien is s, and p ac i ione s o assess
egional clima e isks e ec i ely.
Policy B ie
S akeholde Engagemen
2
: This policy b ie o e s p ac ical s a egies
and eal-wo ld examples o e ec i ely engaging di e se
s akeholde s in clima e adap a ion and esilience ini ia i es. The
documen emphasizes ou key ecommenda ions: ailo
engagemen s a egies o local con ex and p io i ies, os e long-
e m ela ionships o ensu e sus ained communi y pa icipa ion
beyond p ojec li ecycles, le e age exis ing ools and esou ces a he
han ein en ing he wheel and use EU- unded p ojec s as enable s
o suppo consis en , inclusi e engagemen and in eg a e ac i i ies
wi hin b oade policy amewo ks
The b ie unde sco es he c i ical ole o local au ho i ies and
communi ies in co-designing clima e- esilien pa hways, ad oca ing
o capaci y building, s akeholde mapping, and inclusi e go e nance
o ans o m awa eness in o impac ul, long-las ing adap a ion
ac ions.
T ans o ma ional Adap a ion
3
: This policy b ie , ou lines key ools
and s a egies o suppo Eu opean egions in achie ing
All
Copy igh
2
h ps:// ans o ma .eu/s o age/2024/11/Policy-b ie _s akeholde -engagemen -in-clima e-adap a ion-and- esilience_a4.pd
3
h ps:// ans o ma .eu/s o age/2024/11/Regilience_ lye _h b_module_b_PRESSREADY.pd
T ans o mAR Deli e able 6.8
23
www. ans o ma .eu
ans o ma ional clima e adap a ion. I p esen s ac ionable esul s
such as a maladap a ion sel -assessmen ool, a ans o ma ional
adap a ion playbook, and unding guidance o help policymake s and
egional ac o s co-design esilien pa hways. The b ie emphasizes
he impo ance o sys emic app oaches, s akeholde engagemen ,
and inno a i e go e nance o mo e om planning o e ec i e
clima e ac ion.
Replica ion guide
and eplica ion
po en ial o
indi idual solu ions
4
The Assessmen and Replicabili y Tool is a s uc u ed, quan i a i e
ins umen o e alua e he po en ial o eplica ing clima e
adap a ion solu ions in new con ex s. O iginally designed o
T ans o mA ’s 17 solu ions, i can be adap ed o assess simila
ini ia i es by adjus ing con ex ual ac o s and sco ing weigh s.
The ool analyses echnical, inancial, ins i u ional, and
en i onmen al dimensions o de e mine how easible and impac ul
i would be o implemen a solu ion elsewhe e. I uses a s a emen -
based sco ing sys em and p o ides isual ou pu s o highligh bo h
s eng hs and a eas needing imp o emen .
Suppo s he scaling-up o e ec i e clima e adap a ion s a egies
ac oss di e en egions.
AGENCE DE
LÉNVIRONNEMENT ET DE
LAMAITRISE DE LÉNERGIE
(ADEME), F ance
Copy igh
Ca alogue o
echnology
solu ion - Cu a ed
eposi o y o
inno a i e ools,
sys ems, and
echnologies ha
can suppo
This ca alogue ga he s and classi ies a wide ange o echnological
op ions— om na u e-based solu ions and digi al pla o ms o
ea ly wa ning sys ems and moni o ing echnologies— ha ha e
been iden i ied as e ec i e enable s o esilience-building and
long- e m adap a ion.
Each solu ion in he ca alogue is desc ibed wi h key in o ma ion
such as:
All
The plan includes
p o ec ion h ough
Copy igh o he
ca alogue con en and
s uc u e, and U ili y
Models o any no el
echnical ea u es o
sys ems iden i ied
4
h ps:// iew.o iceapps.li e.com/op/ iew.aspx?s c=h ps%3A%2F%2F ans o ma .eu%2Fs o age%2F2025%2F03%2FReplicabili y_Tool_T ans o mA _FINAL.
xlsx&wdO igin=BROWSELINK
T ans o mAR Deli e able 6.8
24
www. ans o ma .eu
egions and
communi ies in
implemen ing
ans o ma ional
adap a ion o
clima e change.
o
Func ional pu pose and clima e challenge add essed
o
Applica ion scale (local, egional, c oss-sec o al)
o
Implemen a ion equi emen s
o
Examples o use o demons a ion
o
Alignmen wi h adap a ion pa hways and ipping poin s
The ca alogue se es as a p ac ical decision-suppo ool o public
au ho i ies, planne s, and p ac i ione s seeking o iden i y
app op ia e and scalable echnologies o in eg a e in o hei
clima e s a egies. I suppo s in o med decision-making by
ma ching con ex -speci ic needs wi h p o en, inno a i e solu ions.
wi hin he cu a ed
solu ions.
T ans o mAR Deli e able 6.8
1.2 Selec ion o mos p omising esul s
F om he wide a ay o clima e adap a ion solu ions de eloped and demons a ed wi hin he
T ans o mA p ojec , a selec ion o he mos p omising esul s has been made based on hei eplica ion
po en ial, inno a ion le el, and long- e m impac . These solu ions s and ou no only o hei echnical
soundness and success ul implemen a ion in hei espec i e demons a o egions bu also o hei
scalabili y, ele ance o b oade clima e adap a ion challenges, and alignmen wi h EU esilience
p io i ies.
The selec ion p ocess ocused on iden i ying hose esul s ha :
• Add ess u gen clima e adap a ion needs ac oss di e en egions;
• Demons a e s ong s akeholde engagemen and communi y impac ;
• Show clea po en ial o ma ke up ake o policy in eg a ion;
• Ha e a well-de ined exploi a ion pa hway and owne ship s uc u e.
By p io i ising hese high-impac ou comes, his sec ion aims o suppo hei u u e deploymen ,
eplica ion and exploi a ion, con ibu ing o he b oade mission o scaling up ans o ma ional
adap a ion e o s ac oss Eu ope and beyond.
• Ci izen App
• Na u e-Based Solu ions in he Wes Coun y Region
• Sma G id and Ga es
• S o mwa e Moni o ing/Modula Sys em
• Mussel-Ra Moni o ing
• In e idal moni o ing
• Ca alogue o echnology solu ions
T ans o mAR Deli e able 6.8
32
www. ans o ma .eu
10. Economic alue o he ishe ies sec o
11. P o ec ed a eas and Na u a 2000 co e age
Finally, he selec ed ma ke s we e: Sweden, Denma k, Finland, UK, Ge many, No way, Aus ia, Iceland,
F ance, Es onia, Swi ze land, Ne he lands, Czechia, Slo enia, Poland, I aly, Po ugal, Spain, Belgium,
G eece.
• PHASE II: Ta ge ing and segmen a ion o Ge many
Aiming o de ine ma ke segmen s and cus ome p o iles o six echnological solu ions in he Ge man
con ex .
The solu ions analysed we e hose selec ed as mos p omising esul s in he p ojec :
• Ci izen App
• Na u e-Based Solu ions in he Wes Coun y Region
• Sma G id and Ga es
• S o mwa e Moni o ing/Modula Sys em
• Mussel-Ra Moni o ing
• In e idal moni o ing
• Ca alogue o echnology solu ion
The obse ed logic segmen a ion is:
a) Ins i u ional cus ome s: municipali ies, en i onmen al agencies, ag icul u al coope a i es, po
au ho i ies, esea ch cen e s.
b) End use s: ci izens, a me s, ishe s, municipal echnicians.
The key insigh s ob ained a e:
• Ge many is a high-po en ial ma ke due o i s s ong en i onmen al policies, ad anced
in as uc u e, and decen alized go e nance.
• P io i y egions we e iden i ied o each solu ion (e.g., Be lin, Hambu g, Lowe Saxony,
Schleswig-Hols ein).
• Top 3 solu ions wi h highes ma ke po en ial:
• Ci izen App
• S o mwa e Moni o ing/Modula Sys em
• Sma G id and Ga es
• PHASE III: Go- o-ma ke ac ion plan
The pu pose o his is phase is o p o ide a go- o-ma ke ac ion plan o deploying he six solu ions in
Ge many
Ma ke En y S a egy:
• Q3 2025: Build ins i u ional pa ne ships, ensu e legal compliance (e.g., GDPR), conduc
explo a o y isi s.
• Q4 2025: Launch MVP pilo s, awa eness campaigns, and echnical sessions.
• Q1 2026: E alua e and imp o e solu ions based on eedback.
• Q2 2026: Scale up, bundle solu ions, and o malize egional pa ne ships.
Success Indica o s (KPIs):
T ans o mAR Deli e able 6.8
33
www. ans o ma .eu
• 3–6 ac i e pilo s
• 10+ s akeholde mee ings
• TRL 7+ (Technology Readiness Le el)
• 8–10 co-c ea ion and echnical sessions
Key E en s:
• Sma Coun y Con en ion (Sep 2025)
• INTERGEO (Oc 2025)
• Wa e XChange Expo (No 2025)
In his sec ion, iden i ied needs and pain poin s du ing he ma ke analysis execu ion o ecommended
a ge segmen s o each o he selec ed solu ions a e included.
2.3.1 Ci izen App
This analysis co e s he solu ions: C owdsou cing ci izen applica ion Gjo ik, Ci izen Applica ion Egaleo
and Ci izen Applica ion Lappeen an a.
Table 3. Analysis o pain poin s and needs o he ecommended a ge segmen o
he Ci izen App
RECOMMENDED
TARGET
SEGMENT
NEEDS
PAIN POINTS
U ban
municipali ies
(local and egional
go e nmen s)
o A eliable pla o m o ci izen-d i en
lood epo ing o enhance si ua ional
awa eness.
o In eg a ion wi h exis ing municipal
ale sys ems and ci il p o ec ion
p o ocols.
o Abili y o analyse and isualize looding
epo s in eal ime.
o Op ions o educa ional modules in
schools o p omo e long- e m
beha iou al change.
o Clea licensing e ms and consul ancy
suppo o local adap a ion and
deploymen .
o Limi ed municipal esou ces o
senso deploymen and lood
de ec ion co e age.
o Di icul y in accessing eal- ime,
loca ion-speci ic da a du ing
sudden lood e en s.
o Ci izen us a ion due o lack o
communica ion channels and
eedback loops.
o P essu e o mee EU and na ional
esilience a ge s unde clima e
adap a ion amewo ks.
Communi y schools
and ci il p o ec ion
agencies
In he case o Ci izen App, due o he na u e o he solu ion, an analysis o end-use s is included as well.
Table 4. Analysis o pain poin s and needs o he end-use o he Ci izen App
RECOMMENDED
TARGET
SEGMENT
NEEDS
PAIN POINTS
Ins i u ional
cus ome who
acqui es and
implemen s he
solu ion
o Accessible, quick epo ing ool o
u ban looding.
o No i ica ions abou lood isks and
public sa e y ale s.
o Poo communica ion om
municipali ies du ing pas lood
e en s.
o Lack o ci izen inclusion in u ban
esilience planning.
T ans o mAR Deli e able 6.8
34
www. ans o ma .eu
End-use who
in e ac s wi h i
om he
pe spec i e o an
o dina y ci izen
o Cla i y on how epo s a e used by local
au ho i ies.
o Assu ance o da a secu i y and pe sonal
p i acy.
o Educa ional ea u es o p og ams o
you h and schools.
o In o ma ion o e load o
inconsis ency ac oss di e en
pla o ms.
2.3.2 Na u e-Based Solu ions in he Wes Coun y Region
Table 5. Analysis o pain poin s and needs o he ecommended a ge segmen o
he Na u e-Based Solu ions in he Wes Coun y Region
RECOMMENDED
TARGET
SEGMENT
NEEDS
PAIN POINTS
Regional and
Na ional
En i onmen al
Agencies
o P o en me hodologies o we land
es o a ion and bu e zone c ea ion.
o Tools o educe ni ogen and
phospho us uno in o wa e bodies.
o Suppo o c oss-sec o collabo a ion
(ag icul u e + en i onmen ).
o Scalable, e idence-based app oaches
adap able o egional con ex s.
o Guidance o s akeholde engagemen
and long- e m moni o ing.
o Di use pollu ion and biodi e si y
loss in ag icul u al landscapes.
o High cos o ecological
in as uc u e.
o Complex and ime-consuming
pe mi ing p ocesses.
o P essu e o comply wi h EU
en i onmen al a ge s wi hin
igh deadlines.
o Lack o local echnical capaci y o
expe ise o design and manage
na u e-based solu ions.
o Di icul y in achie ing accep ance
om a me s and landowne s o
land-use changes.
Ag icul u al
Coope a i es and
Landowne s
Wa e Basin
Managemen
Au ho i ies
2.3.3 Sma G id and Ga es
Table 6. Analysis o pain poin s and needs o he ecommended a ge segmen o
he Res o a ion and c ea ion o Sma G id and Ga es
RECOMMENDED
TARGET
SEGMENT
NEEDS
PAIN POINTS
Coas al
Municipali ies
o Au oma ed and adap i e con ol
sys ems o egula ing eshwa e and
b ackish wa e lows.
o Eme gency- esponse ools such as
apid-unhooking g ids and lood
p o ec ion ga es.
o In eg a ion wi h exis ing coas al
managemen policies and compliance
amewo ks.
o Access o echnical consul ancy and
implemen a ion suppo o scaling and
eplica ion.
o Heigh ened lood and sal wa e
in usion isks h ea ening
in as uc u e and ecosys ems.
o Challenges managing eshwa e -
sal wa e dynamics in complex
coas al en i onmen s.
o Ins i u ional complexi y in
managing sha ed esponsibili ies
ac oss di e en au ho i ies.
o High cos s o main enance in
ha sh and dynamic coas al
en i onmen s.
Po Au ho i ies
and Ma ine
In as uc u e
Manage s
En i onmen al
P o ec ion
Agencies
T ans o mAR Deli e able 6.8
35
www. ans o ma .eu
o Real- ime moni o ing and da a
collec ion o suppo decision-making
and epo ing.
o Lack o au oma ion and eal- ime
esponsi eness in cu en wa e
managemen in as uc u e.
2.3.4 S o mwa e Moni o ing/Modula Sys em
Table 7. Analysis o pain poin s and needs o he ecommended a ge segmen o
S o mwa e Moni o ing/Modula Sys em
RECOMMENDED
TARGET
SEGMENT
NEEDS
PAIN POINTS
U ban
Municipali ies
o Reliable eal- ime moni o ing o
s o mwa e low and quali y
pa ame e s (e.g., u bidi y, pollu an
le els).
o Au oma ed ale sys ems and
in ui i e dashboa ds o enable quick
decision-making and public
communica ion.
o In eg a ion wi h exis ing u ban wa e
in as uc u e and digi al pla o ms
o comp ehensi e managemen .
o Tools ha suppo compliance wi h
na ional and EU egula ions (e.g.,
Wa e F amewo k Di ec i e, U ban
Was ewa e Di ec i e).
o Scalable solu ions adap able o
a ious u ban and indus ial con ex s.
o Legacy in as uc u e o en lacks
mode n senso in eg a ion, limi ing
isibili y in o eal ime condi ions.
o Insu icien p edic i e analy ics
capabili ies o an icipa e and
p e en lood e en s o wa e
quali y b eaches.
o Complexi y in managing mul iple
s akeholde s and egula o y
equi emen s ac oss ju isdic ions.
o High cos s and ope a ional
challenges ela ed o main aining
aging d ainage and sewe sys ems.
o Limi ed capaci y o public
engagemen and anspa en
communica ion du ing s o mwa e
e en s.
Indus ial Facili ies
wi h Wa e
Discha ge
En i onmen al
Resea ch
Ins i u ions
2.3.5 Mussel-Ra Moni o ing
Table 8. Analysis o pain poin s and needs o he ecommended a ge segmen o
Mussel-Ra Moni o ing
RECOMMENDED
TARGET
SEGMENT
NEEDS
PAIN POINTS
Mussel and
Shell ish Fa me s
o Reliable ools o acking wa e
quali y and g ow h condi ions in eal
ime.
o Fo ecas ing ools o an icipa e
upwelling pa e ns and p oduc i i y
changes.
o Ea ly wa ning sys ems o mi iga e
isks om clima e a iabili y.
o Suppo o compliance wi h
en i onmen al and ood sa e y
egula ions.
o Unp edic able clima e impac s
a ec ing mussel yields.
o Limi ed access o eal- ime ma ine
en i onmen al da a.
o Di icul ies in main aining
equipmen unde ha sh ma ine
condi ions.
o Financial isks due o en i onmen al
unce ain ies.
T ans o mAR Deli e able 6.8
36
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Fishe ies
Associa ions
o Access o accu a e, con inuous
en i onmen al moni o ing da a o
esea ch and policy.
o Tools o in eg a ing MRM da a in o
b oade coas al ecosys em
managemen amewo ks.
o Collabo a ion pla o ms o sha ing
insigh s among a me s, egula o s,
and scien is s.
o Suppo o communi y engagemen
and awa eness- aising ac i i ies.
o E idence o alida e and imp o e
moni o ing echnologies.
o F agmen ed da a sou ces and lack
o s anda dized moni o ing
sys ems.
o Challenges in coo dina ing se e al
s akeholde s wi h di e se in e es s.
o Funding limi a ions o long- e m
en i onmen al moni o ing and
esea ch.
o Regula o y complexi y ha can
slow inno a ion adop ion.
o P essu e o demons a e
en i onmen al and social bene i s
o he sec o .
Coas al
En i onmen al
Resea ch Labs
2.3.6 In e idal Moni o ing
Table 9. Analysis o pain poin s and needs o he ecommended a ge segmen o
In e idal Moni o ing
RECOMMENDED
TARGET
SEGMENT
NEEDS
PAIN POINTS
En i onmen al
Agencies
o Modula , in e ope able moni o ing
sys ems o in e idal habi a s (e.g.,
sedimen a ion, salini y, biodi e si y
indica o s).
o His o ical da a in eg a ion and
p edic i e ools o ecosys em end
analysis.
o Scalable echnologies obus enough
o ha sh idal condi ions.
o Pla o ms ha align wi h na ional and
EU da a s anda ds (and acili a e
anspa en epo ing.
o Capaci y-building ools o enhance
collabo a ion be ween esea ch
ins i u ions, policymake s and coas al
planne s.
o F agmen a ion in da a collec ion
and lack o in e ope abili y
be ween agencies and esea ch
bodies.
o Limi ed access o ha monized, long-
e m da ase s o sedimen
dynamics and in e idal ecosys em
heal h.
o High ope a ional cos s and logis ical
complexi y o moni o ing emo e,
dynamic en i onmen s such as
mud la s and sal ma shes.
o G owing p essu e o p o ide
anspa en , imely ecological da a
o na ional and EU obliga ions.
Coas al Zone
Manage s
Ma ine Resea ch
Ins i u ions
The esul s ob ained om he ma ke analysis o he mos p omising solu ions p o ide deepe insigh s
in o hese selec ed ou comes and con ibu e o a mo e comple e and mo e eal ma ke o ien ed Business
Model Can as. This e ined unde s anding suppo s he de elopmen o business models ha a e be e
aligned wi h ma ke needs, s akeholde expec a ions, and eal-wo ld implemen a ion condi ions.
3.0 BUSINESS MODEL CANVAS
The de elopmen o he Business Model Can as o he p ojec solu ions was g ounded on he
comp ehensi e se o inpu s ga he ed h oughou he T ans o mA p ojec , p esen ed in he p e ious
sec ions. This included he p esen a ion o p ojec esul s a na ional e en s ocused on Technology and
Knowledge T ans e (Sec ion 2.1), whe e a dedica ed one-page was sha ed wi h po en ial s akeholde s
o ampli y ou each. Addi ionally, each demons a o si e o ganized egional engagemen e en s o
T ans o mAR Deli e able 6.8
37
www. ans o ma .eu
showcase hei T ans o ma ional Adap a ion Solu ions o local ac o s and po en ial adop e s (Sec ion
2.2). Ta ge ed ma ke analyses we e conduc ed o he selec ed high-po en ial solu ions (Sec ion 2.3),
iden i ying key ma ke d i e s, con ex ual ba ie s, and adop ion ac o s ele an o each egion.
Fu he mo e, suppo was eques ed h ough he Ho izon Resul s Boos e se ice, speci ically he Go-
To-Ma ke module, o s eng hen he ma ke -o ien ed aspec s o he Business Model Can as. This
ex e nal expe ise con ibu ed o e ining he alue p oposi ion, iden i ying sui able cus ome segmen s,
and aligning exploi a ion s a egies wi h ealis ic ma ke expec a ions. As a esul , he esul ing Business
Model Can ases a e mo e comple e, a ge ed, and g ounded in alida ed ma ke in elligence.
T ans o mAR Deli e able 6.8
3.1 Ci izen App
Table 10. Business model can as o ci izen app
Key Pa ne s
Key Ac i i ies
Value P oposi ion
Cus ome Rela ionship
Cus ome Segmen
Ci y council and
municipali ies
P i a e se ices
companies
Local schools
IT de elope s & app
hos ing pla o ms
C owdsou ced epo ing sys em o
clima e- ela ed e en s
Main enance and upda es o he app
Ci izen ou each and awa eness
campaigns
Da a sha ing wi h eme gency se ices
and municipal au ho i ies
P o ides eal- ime da a
om ci izens o enhance
u ban clima e esilience
Inc eases clima e
awa eness and os e s
ac i e communi y
engagemen
Suppo s in o med
decision-making o
public sa e y and
esou ce managemen
O e s a low-cos ,
scalable solu ion
adap able o o he
municipali ies
Rela ionships
Pa icipa o y, communi y-
d i en engagemen
Public in o sessions,
wo kshops, eedback channels
T us -building h ough
anspa ency and
esponsi eness
Ci izens (especially you h,
ac i e esiden s,
ulne able g oups)
Municipal se ices (ci il
p o ec ion, u ban
planning)
O he ci ies in e es ed in
eplica ing he model
Key Resou ces
Channels
Digi al in as uc u e (app, se e s,
cloud s o age)
Open da a p o ocols and anonymized
use da a
Engagemen om esiden s and
schools
Technical eam o main enance and
de elopmen
App s o e/Google Play
Municipal websi e and social
media
Local school ne wo ks and
you h g oups
Pa icipa ion and Inno a ion
Hub
Cos S uc u e
Re enue S eam
Ini ial de elopmen and design cos s
Ongoing se e /app hos ing and echnical suppo
Ou each and awa eness campaigns
Mino upda es and main enance by IT s a
Public unding (EU/Ho izon p ojec s, local municipal
budge s)
Po en ial se ice in eg a ion in “NBS as a se ice” con ac s
Replica ion o licensing o o he municipali ies (open model
o ee euse wi h a ibu ion)
T ans o mAR Deli e able 6.8
39
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3.2 Sma Clima e S a ions
Table 11. Business model can as o Sma Clima e S a ions
Key Pa ne s
Key Ac i i ies
Value P oposi ion
Cus ome Rela ionship
Cus ome
Segmen
Ci y council and municipali ies
P i a e se ices companies
Technology p o ide s
U ban planne s and ci y
depa men s
Deploymen and calib a ion o
21 sma clima e s a ions
Con inuous eal- ime da a
collec ion
Mic oclima e moni o ing and
u ban hea island mapping
Da a in eg a ion in o u ban
planning and esilience
s a egies
High- esolu ion mic oclima e
da a suppo s hea mi iga ion
Enables e idence-based clima e
adap a ion a neighbou hood
le el
Enhances ea ly wa ning sys ems
and public awa eness
Facili a es academic and
municipal collabo a ion on
clima e s a egies
Rela ionships
T anspa en da a sha ing wi h
ci izens and ins i u ions
Regula upda es, dashboa d
access, and epo ing ools
Co-c ea ion oppo uni ies o
planning in e en ions
Municipal u ban planning
depa men s
En i onmen al/clima e agencies
and esea ch bodies
Ci il p o ec ion se ices
O he ci ies in e es ed in
eplica ion o senso adop ion
Key Resou ces
Channels
IoT senso s and echnical
in as uc u e
U ban space o ins alla ion
Da a analy ics ools and
pla o ms
S a o main enance,
moni o ing, and in e p e a ion
Open access o semi- es ic ed
da a in e ace
Public dashboa ds
Repo s o decision-make s and
echnical se ices
Educa ional use in schools o
clima e li e acy ini ia i es
APIs o hi d-pa y de elope s
and esea che s
Cos S uc u e
Re enue S eam
Ini ial pu chase and ins alla ion o equipmen
Ongoing main enance and calib a ion
Da a in as uc u e
Communica ion and public engagemen ools
Public unding
Replica ion oppo uni ies in o he ci ies ia echnical suppo
Po en ial pa ne ships wi h p i a e companies o e ing “clima e
in elligence” se ices
Long- e m in eg a ion in o municipal planning pla o ms wi h
ex e nal suppo
T ans o mAR Deli e able 6.8
40
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3.3 S uden s Awa eness Raising
Table 12. Business model can as o S uden s Awa eness Raising
Key Pa ne s
Key Ac i i ies
Value P oposi ion
Cus ome Rela ionship
Cus ome
Segmen
Ci y council and municipali ies
P i a e se ices companies
Local schools
Design and implemen a ion o
awa eness lessons o schools
Coo dina ion wi h eache s
and school di ec o s
In eg a ion o clima e
educa ion in o e e yday
cu icula
E alua ion and eedback om
s uden s and educa o s
Builds clima e li e acy and isk
awa eness in he younge
gene a ion
Encou ages beha io al change
and ci ic engagemen
Con ibu es o long- e m
esilience by a ge ing u u e
ci izens
P omo es in e gene a ional
dialogue on clima e adap a ion
Ongoing suppo o educa o s
Engagemen h ough
in e ac i e ma e ial and
challenges
Di ec eedback channels (e.g.,
quizzes, s uden e lec ions)
S uden s
Teache s and educa ional s a
Municipal educa ion o ice s
Po en ial eplica ion in o he
municipali ies o egions
Key Resou ces
Channels
Educa ional ma e ial and
con en
Teaching s a and acili a o s
School acili ies and digi al
equipmen
S uden engagemen me ics
and eedback ools
School p og ams and
ex acu icula ac i i ies
Municipal educa ion
depa men pla o ms
Public dissemina ion e en s
Educa ional po als o e-
lea ning ools
Cos S uc u e
Re enue S eam
Con en de elopmen and ansla ion
S a coo dina ion and acili a ion
P in ing o digi al pla o m licenses
Moni o ing and impac e alua ion ools
Funded h ough T ans o mA p ojec budge
Po en ial scale-up ia na ional educa ional p og ams o g an s
Low-cos eplica ion model h ough sha ed ma e ial eposi o y
T ans o mAR Deli e able 6.8
41
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3.4 Demand analysis o social se ices and in as uc u es
Table 13. Business model can as o Demand analysis o social se ices and in as uc u es
Key Pa ne s
Key Ac i i ies
Value P oposi ion
Cus ome Rela ionship
Cus ome
Segmen
Municipali ies and ci y
council
P i a e company
Local public heal h and
social se ice p o ide s
Vulne abili y assessmen o
social in as uc u e
Collec ion and analysis o
demand- ela ed da a
In eg a ion in o u ban
esilience and adap a ion
planning
Coo dina ion wi h public
wel a e and heal hca e
s akeholde s
Da a-d i en ool o assess
and an icipa e demand on
social se ices and
in as uc u es
Suppo s e idence-based
decision making o clima e-
esilien planning
Ensu es socially equi able
adap a ion s a egies
C oss-depa men al
collabo a ion wi hin local
go e nmen
S a egic suppo o
decision make s
Capaci y-building o social
policy planning
Local go e nmen s and
u ban planne s
Public heal h and social
wel a e au ho i ies
Regional o na ional bodies
designing esilience
s a egies
Key Resou ces
Channels
Access o municipal and
social se ices da a
GIS and analy ics ools
Skilled echnical and
adminis a i e s a
Ne wo ks wi h local se ice
p o ide s
In e nal municipal pla o ms
U ban planning and public
heal h depa men s
Regional knowledge
exchange mechanisms
Cos S uc u e
Re enue S eam
Da a collec ion and analysis cos s
Tool de elopmen and main enance
S a aining and s akeholde engagemen
Public unding (EU p ojec s, na ional o egional p og ams)
Technical suppo o consul ing se ices o o he
municipali ies
Pa ne ships wi h NGOs o hink anks o u he scaling
T ans o mAR Deli e able 6.8
48
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3.11 Local Adap a ion und
Table 20. Business model can as o Local Adap a ion Fund
Key Pa ne s
Key Ac i i ies
Value
P oposi ion
Cus ome Rela ionship
Cus ome
Segmen
Local banks, and c edi
unions
Ag icul u al coope a i es
and ou ism ne wo ks
Regional go e nmen s and
clima e agencies
Technical assis ance
p o ide s
To add ess he egion´s mos
p essing clima e isks.
Designing blended inance
mechanisms and eligibili y c i e ia
Pa ne ing wi h inance p o ide s
and communi y o ganiza ions
Ou each and capaci y building in
a ge sec o s
Moni o ing und deploymen and
adap a ion ou comes
A blended
inance ool
boos ing local
clima e
adap a ion in
he ag icul u e
and ou ism
sec o s. I
suppo s
ulne able
g oups and
o e s a
eplicable
model o
o he clima e
change-
exposed
e i o ies.
Sec o -speci ic unions and wo king
g oups
S a egic pa ne ship
Smallholde a me s and
ag icul u al coope a i es
Local ou ism businesses and
communi y-based ou ism
ope a o s
Regional de elopmen
agencies and local
go e nmen s
Clima e adap a ion unds and
inancial in e media ies
Key Resou ces
Channels
Financial expe s and clima e
adap a ion specialis s: Technical and
Financial Commi ee
Pa ne ships wi h local inancial
ins i u ions
Moni o ing and e alua ion sys ems
Ne wo ks wi h local communi y
o ganiza ions
Pa ne ships wi h local banks and
mic o inance ins i u ions
Collabo a ion wi h ag icul u al and
ou ism associa ions
Wo kshops and ou each
p og ams in ulne able
communi ies
In eg a ion wi h egional clima e
and de elopmen p og ams
Cos S uc u e
Re enue S eam
Pla o m de elopmen and main enance
S a o und managemen , ou each, and aining
Moni o ing, epo ing, and e alua ion cos s
Pa ne ship coo dina ion and communi y engagemen
Ma ke ing and communica ion e o s
Public and p i a e unding
Se ice ees o ad iso y and moni o ing suppo
T ans o mAR Deli e able 6.8
49
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3.12 Na u e-Based Solu ions in he Wes Coun y Region
Table 21. Business model can as o Na u e-Based Solu ions in he Wes Coun y Region
Key Pa ne s
Key Ac i i ies
Value
P oposi ion
Cus ome Rela ionship
Cus ome
Segmen
Landowne s, C edi
owne s, Sus ainabili y
cha i ies/p ac i ione s,
Public au ho i ies
Sus ainabili y/en i onmen al cha i y engage o
educe nu ien pollu ion in wa e cou ses
Begin baseline moni o ing o assess nu ien loading
om si e, and baseline biodi e si y s a us
Use baseline da a o in o m bu e s ip design
Submi designs o e iew and alida e expec ed
nu ien neu ali y ou comes
In es o sells c edi s o de elope s
Addi ional compa ible c edi s, such as biodi e si y
c edi s, can also be sold o de elope s/p i a e
companies/e c.
Nu ien c edi s can
be sold o housing
de elope s o o se
addi ional bu den o
was ewa e
ea men sys em
Addi ional
ecosys em se ices,
such as biodi e si y
ne gain uni s, can
also be sold,
p o iding addi ional
e enue
Housing de elope s a e legally obliged o
pu chase nu ien o se s as pa o planning
applica ions submi ed o Local Au ho i y
Local Au ho i y may seek o in es in nu ien
c edi s o sell o de elope s
Cha i ies/ hi d sec o can ecei e unding
om local au ho i y o de elop nu ien c edi
in e en ions wi h p i a e landowne s
Housing
de elope s
seeking o
o se
addi ional
bu den on
was ewa e
ea men
wo ks
Key Resou ces
Channels
Land a ailabili y, Capi al, S a ime, En i onmen al
da a
Local In es men in Na u e Co nwall na u al
capi al online ma ke place
No h De on Biosphe e Na u al Capi al online
ma ke place
Cos S uc u e
Re enue S eam
In es men cos , Cos o consul an s/ecologis /o he expe s, Baseline &
pos -in e en ion moni o ing, Ope a ions cos s, Main enance cos o
equi ed pe iod (un il 2030), Insu ance, Remedial wo k o co ec any habi a
managemen ailu es, Machine y, ools and o he s a o ca y ou he asks,
In la ion, Consul ing expe s o e iew you legal ag eemen , Managemen
o he land co e ing a leas 30 yea s, Moni o ing and epo ing.
Nu ien c edi s a se p ice/uni o Phospha e. P ice se by
demand. No cu en s anda dized alues.
Biodi e si y Ne Gain uni s. P ice se by demand and
con ingen on ype and pe cen age o upli achie ed, as well
as ongoing managemen .
T ans o mAR Deli e able 6.8
50
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3.13 Paymen o Ecosys em Se ices
Table 22. Business model can as o Paymen o Ecosys em Se ices
Key Pa ne s
Key Ac i i ies
Value
P oposi ion
Cus ome
Rela ionship
Cus ome
Segmen
Any business
dependen upon
ecosys em se ices,
Consul an s,
Deli e y pa ne s
(g oundwo ks),
Moni o ing s a
Iden i y p i a e-sec o bene icia ies o pa icula
ecosys em se ices ulne able o clima e change.
Build ela ionships wi h businesses likely o in es o
p o ec asse s/sa egua d ope a ions om clima e impac s
Desk-based analysis o po en ial business losses unde
u u e clima e scena ios, and po en ial gains
Business decides ex en o in es men /ac i i y hey a e
in e es ed in, in es s in na u e-based solu ions
acco dingly
G ound wo ke s ins all na u e-based solu ions
Asse s/ope a ions
p o ec ed om
clima e change
impac s,
sa egua ding u u e
business
Sec o -speci ic unions
and wo king g oups
Membe s o business
councils/en e p ise
pa ne ships
Any businesses wi h
asse s ulne able o
clima e h ea s.
Public-sec o
ins i u ions wi h
asse s ulne able o
clima e h ea s
Key Resou ces
Channels
Capi al, S a ime (business and consul an s),
En i onmen al da a, Land a ailable
Local business
chambe s
Sou hwes
In as uc u e
Pa ne ship
Local En e p ise
pa ne ships
Cos S uc u e
Re enue S eam
In es men cos includes:
Wo ks necessa y o ins all na u e-based solu ions, designed o deli e
desi ed ou come (e.g asse p o ec ion, e c)
Baseline and pos -in e en ion moni o ing
Consul an ime and ees
Insu ance
A oided losses/damages associa ed wi h
clima e impac s, quan i ied in inancial e ms
Po en ial o sell upli , such as BNG uni s
associa ed wi h desi ed ou comes
T ans o mAR Deli e able 6.8
51
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3.14 Coas al con ac s
Table 23. Business model can as o Coas al con ac s
Key Pa ne s
Key Ac i i ies
Value P oposi ion
Cus ome Rela ionship
Cus ome
Segmen
Con ac signa o ies
(municipali ies, Region,
p o ince and Wa e
Managemen body)
S akeholde engagemen
(p i a e sec o )
C ea ion o Local We land
Obse a o y
I p o ides an in eg a ed
managemen o coas al and
local communi ies engaged in
clima e esilience planning,
ecognizing ha we lands a e
key na u al asse s o bo h
biodi e si y and local
economies. Local We land
Obse a o y (LWO) plays a
cen al ole in moni o ing he
ecological heal h o he
O is ano we lands.
Technical suppo
S a egic pa ne ship
O he public au ho i ies o
p i a e associa ions engaged
in i e con ac s and simila
Key Resou ces
Channels
Public unds
Facili a o s,
Legal en i onmen al expe s
Enginee ing and spa ial
planne s
Dissemina ion and
communica ion o he
acqui ed knowledge
Websi e and social media
Email newsle e s
Cos S uc u e
Re enue S eam
Mee ing o ganiza ions
Scien i ic expe s
The cos is a iable depends on he a ea ex ension, he
numbe o he mee ings and he cos o he IT s uc u e and
expe s.
Public unds om na ional, egional o Eu opean p og ammes
T ans o mAR Deli e able 6.8
52
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3.15 Sma G id and Ga es
Table 24. Business model can as o Sma G id and Ga es
Key Pa ne s
Key Ac i i ies
Value
P oposi ion
Cus ome Rela ionship
Cus ome
Segmen
Fishe men: local
knowledge, in o ma ion
and co-planning he
solu ion
Municipali ies and local
go e nmen .
Regional en i onmen al
depa men s and agencies:
echnical and
adminis a i e suppo .
Planning he solu ion, au ho iza ion
p ocedu es, choice o ma e ials
(senso s, in as uc u e, ...),
in eg a ion be ween di e en
echnical p o iles (IT, manu ac u e ,
enginee s, biologis s, e c.), execu ion
o wo ks and implemen a ion o a
main enance and managemen plan
The goal is o
imp o e wa e
quali y, p e en
s agna ion, and
main ain
ecological
condi ions o be
sui able o
ishe y
ac i i ies
and biodi e si y
g ow h.
Be e
knowledge o
he wa e
quali y and eal
da a om he
senso s.
A p o o ype o
be eplica ed in
o he pa s o
he lagoon o in
simila
condi ions.
Ins i u ional ecogni ion and suppo
Pa icipa ion in public policy
Technical suppo and main enance o
senso sys ems
Communi y engagemen o biodi e si y
moni o ing
Feedback collec ion o p o o ype
imp o emen s
Local and egional
public au ho i ies,
ishing conso ium
Key Resou ces
Channels
IT expe
Enginee expe
Biological expe
Technical suppo o senso s
Public and p i a e unds
Pe iodic mee ings and con inuous
engagemen wi h he public au ho i ies
Dissemina ion and communica ion o he
knowledge
Websi e and social media
Email newsle e s
Cos S uc u e
Re enue S eam
In as uc u es ep esen he mos ele an cos , equally di ided
be ween he di e en equipmen ins alled (ga e, pho o ol aic
sys em and housing shed, accessibili y, p obe p o ec ion s uc u e
and moni o ing s a ions hemsel es)
The cos is a iable depending on he cos o he ma e ials
(in e na ional e en s such as wa s, pandemics, e c. can inc ease he
p ices)
Public unds om na ional, egional o Eu opean p og ammes
P i a e unds om philan h opic o ganiza ions o es o a ion
p ojec s
Ca bon c edi s ma ke
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3.16 Na u e-Based Solu ions in Lappeen an a
Table 25. Business model can as o Na u e-Based Solu ions in Lappeen an a
Key Pa ne s
Key Ac i i ies
Value
P oposi ion
Cus ome
Rela ionship
Cus ome
Segmen
Municipali ies and
uni e si ies
S o mwa e managemen
Wa e Fil a ion and Pollu ion Con ol
G een In as uc u e
Flood Bu e ing
A bio il a ion
a ea designed
o cap u e and
ea uno
and
s o mwa e
om
su ounding
s ee s and
sidewalks in
he ci y cen e
in
Lappeen an a.
En i onmen al Moni o ing
Regula ion and licensing
Municipal go e nmen s
U ban Planne s and De elope s
En i onmen al Agencies
Cons uc ion and Enginee ing
Fi ms
Key Resou ces
Channels
U baniza ion challenges
Technological ad ancemen s
Municipal communica ion
pla o ms.
Public wo kshops and
consul a ions
Technical epo ing o
public agencies
Cos S uc u e
Re enue S eam
Ini ial In es men :
• Design and enginee ing o he bio il a ion sys em
• Si e p epa a ion and cons uc ion
• Fil a ion ma e ials and plan s
• In eg a ion wi h exis ing d ainage sys ems
• Moni o ing senso s (i applicable)
• Signage o public engagemen elemen s
Ope a ional Cos s:
• Main enance o ege a ion and il e media
• Cleaning and sedimen emo al
• Wa e quali y moni o ing
• Technical s a
Public unding om he ci y o egional go e nmen
EU g an s (e.g., LIFE, Ho izon Eu ope, G een Deal)
Clima e adap a ion/ esilience unds
CSR con ibu ions om local businesses
Educa ional o ou ism p og ams (i open o he public)
Wa e u ili y pa ne ships (i educing s o mwa e ea men
cos s)
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3.17 S o mwa e Moni o ing/Modula Sys em
Table 26. Business model can as o S o mwa e Moni o ing/Modula Sys em
Key Pa ne s
Key Ac i i ies
Value P oposi ion
Cus ome Rela ionship
Cus ome
Segmen
Ci ies/municipali ies
Tech p o ide s (senso s,
cloud)
Resea ch
cen es/uni e si ies
EU o na ional unding
bodies
Sys em design and
calib a ion
In e ace de elopmen
Ins alla ion and
main enance
Da a isualiza ion and
epo ing
Use aining and suppo
Moni o ing sys em wi h
simple p obes o moni o
low a es and wa e quali y
h ough indi idual modules.
The moni o ing use in e ace
will be made isual and
b owse -based, enabling
access om any sma phone
o lap op. Publicly displayed
in o ma ion will be accessible
o all.
Long- e m echnical suppo
Open da a access o
anspa ency
T aining o ci y s a o
educa o s
Feedback channels o use s
En i onmen al Agencies
Indus ial Facili ies
Resea ch Ins i u ions
Municipali ies/ci y councils
En i onmen al agencies
U ban in as uc u e
companies
NGOs / educa ional
ins i u ions
Ci izens (as da a use s)
Key Resou ces
Channels
• Senso echnology and
ha dwa e
• So wa e/UI de elope s
• Da a hos ing
in as uc u e
• U ban pilo si es o
es ing
Public ende s/p ocu emen
pla o ms
Di ec sales o municipali ies
Websi e & demo pla o ms
Public dashboa ds in u ban
a eas
Educa ional and ou each
p og ams
Cos S uc u e
Re enue S eam
Ha dwa e (p obes, modules)
So wa e de elopmen and upda es
Se e and da a s o age cos s
S a (enginee ing, suppo )
Main enance and eplacemen s
One- ime sys em ins alla ion ees
Subsc ip ion o da a hos ing & main enance
Public o EU en i onmen al g an s
Pa ne ships wi h ech/en i onmen al companies
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3.18 Choice Expe imen s
Table 27. Business model can as o Choice Expe imen s
Key Pa ne s
Key Ac i i ies
Value
P oposi ion
Cus ome Rela ionship
Cus ome
Segmen
Ci y councils and
u ban planning
depa men s
Uni e si ies and
esea ch
ins i u es
Ci ic
engagemen
pla o ms
Insu ance
companies and
enginee ing
i ms
NGOs ocused
on clima e
esilience
Da a collec ion om ci izens
Analysis o p e e ences and isk a i udes
De elopmen o isual decision-suppo ools
Engagemen wi h s akeholde s and aining
Policy-o ien ed epo ing
A da a-d i en
ool o unco e
ci izen
p e e ences o
g een and g ey
s o mwa e
solu ions -
empowe ing
ci ies o d i e
p i a e
in es men and
clima e
adap a ion
h ough
sma e ,
a ge ed lood
isk policies.
Co-design and consul a ion du ing se up
Cus om dashboa ds and isualiza ions
Technical suppo and policy in eg a ion
assis ance
Regula upda es and ci izen eedback loops
U ban planne s
Local go e nmen
au ho i ies
P i a e
landowne s
Insu ance
companies
En i onmen al
consul ancies
P ope y owne s
Key Resou ces
Channels
Da a scien is s, u ban planne s, de elope s
P e e ence su ey & beha iou al esea ch ools
Cloud-based pla o m o da a isualiza ion
S akeholde ne wo ks and pilo ci ies
Di ec pa ne ships wi h municipali ies and
u ban planning eams
Wo kshops, webina s, and planning o ums
Ci ic ech pla o ms o municipal digi al wins
Online dashboa d accessible ia web and
mobile
Con e ences on u ban esilience, clima e
adap a ion, and insu ance
Cos S uc u e
Re enue S eam
Tool/pla o m de elopmen and main enance
S a (da a analys s, so wa e de elope s, ou each)
Da a collec ion and public engagemen
Se e hos ing and analy ics in as uc u e
Repo ing and echnical documen a ion
Licensing/subsc ip ion ees om ci ies o p i a e clien s
Consul ing ees o cus om analysis and in eg a ion
Clima e inno a ion g an s (EU, na ional)
Pa ne ships wi h insu ance o enginee ing i ms
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3.19 Ca alogue o echnology solu ion
Table 28. Business model can as o Ca alogue o echnology solu ion
Key Pa ne s
Key Ac i i ies
Value P oposi ion
Cus ome Rela ionship
Cus ome
Segmen
Clima e esea ch
ins i u ions and hink anks
Regional adap a ion
ne wo ks
Tool and echnology
p o ide s
NGOs and inno a ion labs
Funding bodies and dono s
Tool iden i ica ion and
e alua ion.
Communi y engagemen
and ou each
Analy ics and epo ing on
usage and impac .
Cu a ed eposi o y o
inno a i e ools, sys ems,
and echnologies ha can
suppo egions and
communi ies in
implemen ing
ans o ma ional adap a ion
o clima e change.
Long- e m pa ne ships
h ough EU and egional
p ojec s.
Follow-up se ices: upda es,
aining, and echnical
suppo .
U ban and egional planne s
Policy make s and echnical
s a in public adminis a ions
Consul an s and clima e
ad iso s
Resea che s and inno a ion
manage s
P i a e companies
Communi y-led o ganiza ions
Key Resou ces
Channels
Expe s (clima e, u ban
esilience, ech)
Con en managemen and
digi al pla o m eam
Pa ne ships wi h ech
p o ide s and esea ch
ins i u ions
Da abase in as uc u e
Web-based open-access
pla o m
Newsle e s and clima e
ne wo ks
P esen a ions a
con e ences and adap a ion
wo kshops
Social media and
p o essional communi ies
Pa ne ships wi h egional
hubs o inno a ion
accele a o s
Cos S uc u e
Re enue S eam
Pla o m and da abase main enance
Human esou ces
Communica ion and engagemen cos s
Licensing and hos ing ees
E alua ion and impac assessmen
Ins i u ional unding (EU, na ional, philan h opic
ounda ions)
Consul ancy se ices o egional adap a ion planning
Public-p i a e inno a ion pa ne ships
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3.20 Adap i e T ans o ma ion Playbook
Table 29. Business model can as o Adap i e T ans o ma ion Playbook
Key Pa ne s
Key Ac i i ies
Value P oposi ion
Cus ome Rela ionship
Cus ome
Segmen
Municipali ies and egional
adap a ion o ices
NGOs wi h communi y
ou each expe ience
Uni e si ies o esea ch
cen es
EU- unded adap a ion
p ojec s o missions
Agencies in e es ed in
communi y-led clima e
ac ion
Designing and es ing wo kshop
me hods
P oducing empla es, guides, and
acili a ion ma e ials
T aining acili a o s
Ga he ing and sha ing case s udies
Main aining and upda ing he oolki
P ac ical, use - iendly
ool o design and
acili a e pa icipa o y
adap a ion wo kshops
Helps communi ies co-
c ea e clima e
adap a ion pa hways
Encou ages
engagemen ,
owne ship, and local
ele ance
O e s s uc u ed
guidance o wo kshop
o ganisa ion and
mode a ion
Sel -se ice wi h online esou ces (manuals,
empla es)
Facili a o aining and ce i ica ion (op ional)
Feedback and use communi y o
imp o emen s
Case s udies o showcase success ul
implemen a ions
Local and egional
go e nmen s
Clima e adap a ion
acili a o s and
consul an s
NGOs and
communi y
o ganiza ions
Uni e si ies and
esea che s
Key Resou ces
Channels
Wo kshop me hodology and con en
expe s
G aphic designe s and communica ion
specialis s
Pla o m o dissemina ion
Pa ne ships wi h pilo communi ies
Online pla o m o downloadable oolki
Webina s and aining-o - aine s (ToT)
sessions
Con e ences and clima e adap a ion ne wo ks
Di ec ou each h ough municipali ies and
NGOs
In eg a ion in o la ge adap a ion planning
p og ams
Cos S uc u e
Re enue S eam
Con en de elopmen and design
S a o aining, upda es, and suppo
Communica ion, ou each, and ansla ion
Hos ing and dis ibu ion pla o m
Moni o ing and e alua ion o impac
F ee basic e sion (open-access playbook)
Paid acili a o aining and ce i ica ion
Cus om wo kshop design se ices
Inclusion in unded adap a ion p ojec s
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5.2 Demons a o s’ egional e en s
Regional e en s and di ec engagemen wi h egional s akeholde s linked wi h he demons a o s ha
co-de eloped he T ans o mA
solu ions a e p o ing o be
essen ial. These in e ac ions no
only help b ing he solu ions
close o i s use s, bu also
p o ide aluable eedback ha
suppo s he con inuous
imp o emen and con ex ual
adap a ion o he ools.
Demons a o s ac as li ing labs
whe e inno a ion mee s eal-
wo ld needs, and hei ne wo ks
a e key o alida ing use cases,
building us , and accele a ing
adop ion.
In he esul s ob ained om he
analysis o he esul ing su eys
in each egion o each o he
de eloped solu ions, i can be
concluded ha o he ba ie s iden i ied, he mos p ominen is in es men due o he need o unds o
inance he di e en solu ions, as no ed in he Figu e 4.
Al hough, mos o he ins i u ions
concluded ha he ma ke up ake o he
p oposed echnology would be o g ea
in e es (Figu e 6), wi h he ins i u ions
mos in ol ed in his analysis being he
municipali ies and p i a e companies, as
no ed in he Figu e 5.
Figu e 4. Ba ie s iden i ied in he analysis o he
esul ing su eys in each egion o each o he
de eloped solu ions
Figu e 5. Type o ins i u ion iden i ied in he analysis
o he esul ing su eys in each egion o each o he
de eloped solu ions
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Mo ing o wa d, i is s ongly
ecommended o con inue and expand his
egional ou each s a egy, as i enables
he p ojec o emain g ounded in p ac ical
challenges, os e co-c ea ion, and ensu e
ha he solu ions e ol e in alignmen wi h
use expec a ions and policy amewo ks.
This app oach also s eng hens he p ojec 's
isibili y and c edibili y a he local le el,
pa ing he way o b oade eplica ion and
long- e m sus ainabili y.
5.3 Ma ke analysis o mos p omising solu ions
1. Ge many as a S a egic En y Poin
Ge many’s en i onmen al policy ma u i y, decen alized go e nance, and s ong ins i u ional
in as uc u e make i an ideal es bed o en i onmen al and clima e esilience echnologies. Howe e ,
i s bu eauc a ic complexi y and egional dispa i ies equi e a phased, egion-speci ic app oach o ma ke
en y.
Recommenda ion:
P io i ize ea ly adop e s in egions wi h high ins i u ional capaci y (e.g., Be lin, Hambu g, Schleswig-
Hols ein) and g adually expand o mo e conse a i e o esou ce-cons ained a eas.
2. Segmen -Speci ic Value P oposi ions
The six solu ions analysed add ess dis inc bu in e connec ed en i onmen al challenges. The
segmen a ion s a egy e ec i ely dis inguishes be ween ins i u ional buye s (e.g., municipali ies,
agencies) and end use s (e.g., ci izens, a me s), which is c i ical o adop ion.
Recommenda ion:
De elop dual messaging s a egies: one ocused on ins i u ional bene i s (compliance, unding alignmen ,
in as uc u e mode niza ion), and ano he on end-use engagemen (ease o use, communi y impac ,
educa ion).
3. Syne gies Be ween Solu ions
The e is s ong po en ial o bundled o e ings, especially in u ban and coas al con ex s:
• Ci izen App + S o mwa e Moni o ing/Modula Sys em: o in eg a ed u ban lood managemen .
• Sma G id + In e idal Moni o ing + Mussel-Ra Moni o ing: o holis ic coas al moni o ing and
esilience.
Recommenda ion:
Design modula solu ion packages ha can be scaled o combined based on egional needs and unding
a ailabili y. This inc eases pe cei ed alue and simpli ies p ocu emen .
4. Funding as a Ma ke Le e
Many o he a ge ins i u ions ely on EU and na ional unding mechanisms (e.g., LIFE, Ho izon Eu ope,
K W). Solu ions ha align wi h hese amewo ks ha e a highe chance o adop ion.
Figu e 6. Analysis o he in e es in inco po a ing
he p oposed echnology o he ma ke .
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Recommenda ion:
Posi ion solu ions as “ unding- eady” by mapping hem explici ly o EU policy goals (e.g., Wa e
F amewo k Di ec i e, Biodi e si y S a egy 2030). P o ide suppo o g an w i ing and co- inancing
models.
5. Ba ie s o Adop ion
Key ba ie s include:
• Limi ed echnical capaci y in smalle municipali ies
• Resis ance o change in public p ocu emen
• Da a p i acy conce ns (especially o ci izen- acing ools)
Recommenda ion:
• O e aining and onboa ding packages o build local capaci y.
• Include GDPR-complian design as a co e ea u e.
• Use pilo p ojec s and case s udies o build us and demons a e alue.
6. Ma ke Readiness s. Inno a ion Ma u i y
Some solu ions (e.g., S o mwa e Moni o ing/Modula Sys em, Ci izen App) a e close o ma ke
eadiness, while o he s (e.g., In e idal Moni o ing, Mussel-Ra Moni o ing) may equi e u he
alida ion o adap a ion o local condi ions.
Recommenda ion:
Adop a s agge ed comme cializa ion oadmap, s a ing wi h ma u e solu ions o build b and p esence
and c edibili y, hen in oducing mo e complex o expe imen al ools once ins i u ional us is
es ablished.
T ans o mAR Deli e able 6.8
Clima e change impac s a e he e and now. The impac s on people, p ospe i y and plane a e al eady
pe asi e bu une enly dis ibu ed, as s a ed in he new EU Bluep in s a egy (Eu opean
Commission-EC, 2019). To educe clima e- ela ed isks, he EC and he IPCC ag ee ha
ans o ma ional adap a ion is essen ial. The T an o mA p ojec aims o de elop and demons a e
p oduc s and se ices o launch and accele a e la ge-scale and dis up i e adap i e p ocess o
ans o ma ional adap a ion in ulne able egions and communi ies ac oss Eu ope.
The 6 T ans o mA ligh house demons a o s ace a common challenge: wa e - ela ed isks and
impac s o clima e change. Based on exis ing success ul ini ia i es, he p ojec will de elop, es and
demons a e solu ions and pa hways, in eg a ed in Inno a ion Packages, in 6 e i o ies.
T ans o ma ional pa hways, including an in eg a ed isk assessmen app oach a e co-de eloped by
means o 9 T ans o ma ional Adap i e Blocks. A se o 22 es ed ac ionable adap i e solu ions a e
es ed and demons a ed, anging om na u e-based solu ions, inno a i e echnologies, inancing,
insu ance and go e nance models, awa eness and beha io al change solu ions.
This p ojec has ecei ed unding om he Eu opean Union’s Ho izon H2020 inno a ion ac ion
p og amme unde g an ag eemen 101036683.
