Thermal Comfor modelling presentation

1. MODELING THE URBAN HEAT
ISLAND AND THERMAL COMFORT

2. THE URBAN HEAT ISLAND & THERMAL COMFORT
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3. 3
What is our solution for?
What does it do?
What does the solution solve?
Rapidité
Flexibilité
Données fiables
Modélisation
Coût
In the face of global warming, the challenge for development actors is to think of the urban
climate as a starting point, and no longer as the consequence of an urban form resulting
from architectural or financial considerations. One of the answers is to contribute to
improve the feeling of the populations in front of the strong heats and heat
waves.
To understand the interactions between the urban environment and climate
To adapt the layout according to this first diagnosis
To propose mitigation or cooling solutions to limit urban heat waves
To have a follow-up over time to take corrective measures
To know its territory in a very precise way
To quantify the benefits in terms of °C gained
To implement cooling solutions in the right place and at the right size
To save time in the refreshing impact of the solution
To earn money

4. 4
Follow-up of the evolution of the implemented solution in order to verify if it is in adequacy with the
expected impact (crisis management for example) and if need be bring corrective measures
How does the solution solve these problems?
Realization of a large scale but fine resolution modeling of the existing in order to understand the
urban microclimate
Integration of development projects in order to see their impact on the existing and to adjust the
solutions in the upstream phase of the development
Examples of the impact of refreshment
Pavement watering + urban
green areas
Day and night Paris 1.1°C and2.6°C Ta °C
Water misting system
(cloud droplet)
Day Rome and Ancona 8.2 °C to 7.9°C UTCI °C
Surfaces of ponds, wetting
streets, and lakes
Night Phoenix 0.15 to 0.82°C 𝑇𝑎°C
Water misting or micro
water droplets
Day Tokyo 2°C 𝑇𝑎°C
10% increase in vegetation Day and Night Shenzhen 0.05°C to 0.15°C 𝑇𝑎°C
45 trees per hectare Day Slovenia Up to 4.8°C 𝑇𝑎°C
Tree shade Day Malaysia Up to 2.7°C 𝑇𝑎°C
Park Day Melbourne 1°C Ta°C
Urban parks (Tree shade) Mid-day Tapei 0.64 to 2.52°C Ta°C
Strategic placement of trees Day London 2°C to 8°C Ta°C
Black and white sun sails Day Cordoba Up to 3°C Ta°C
Overhead shaded structures Day Milan 0,8°C Ta°C

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Data Acquisition
Mobile
measurements
Machine learning
10m modelling
resolution
Checking
Urban heat Island
& Comfort
thermique
modeling
LiDAR
Landsat
Sentinel Open data
How do we do?

6. EXAMPLES
6

7. THE COMPETITION
CITY SCALE
MESO NH
OUR MODELING
AFFORDABLE EXPENSIVE (TIME
AND COST)
ENVI-MET
NEIGHBORHOOD
/ BUILDING SCALE
SOLENE MICRO
CLIMAT
7

8. A TRUSTWORTHY METHOD
SINCE
2015
2021 5
RESEARCH TOPIC
ADDRESSED
CLIENTS WHO HAVE
PLACED THEIR TRUST IN US
CREATION OF THE
COMPANY
8

9. A TRUSTWORTHY METHOD
Scientific papers
Alonso, L.; Renard, F. A New Approach for Understanding Urban Microclimate by Integrating Complementary
Predictors at Different Scales in Regression and Machine Learning Models. Remote Sens. 2020, 12, 2434.
https://doi.org/10.3390/rs12152434
Compréhension du microclimat urbain lyonnais par l’intégration de prédicteurs complémentaires à différentes
échelles dans des modèles de régression. Lucille Alonso, Florent Renard. Climatologie 17 2 (2020). DOI:
10.1051/climat/202017002
Lucille Alonse. Thèse 2021. Intérêt de la modélisation de la température de l’air associé à la nécessité de la
caractérisation des vulnérabilités territoriales pour une compréhension systémique du risque aux fortes chaleurs
en milieu urbain sur Lyon et Tokyo.
Alonso, L.; Renard, F. Integrating Satellite-Derived Data as Spatial Predictors in Multiple Regression Models to
Enhance the Knowledge of Air Temperature Patterns. Urban Sci. 2019, 3, 101.
https://doi.org/10.3390/urbansci3040101
Conferences
Alonso, L, Renard, F.,. (2023) Thermal comfort modeling in an urban environment for the development of a soft mode guidance
application (ICUC11), Sydney, Australia
Renard, F., Alonso, L., Varquez, A.C.G., Hiroki,R., Taerakul, J. (2023) Thermal comfort modeling in crowded and touristic
areas in Tokyo, The 11th International Conference on Urban Climate (ICUC11), Sydney, Australia
Varquez, A.C.G., Taerakul, J., Renard, F., Alonso, L., Hiroki,R., Ashie, Y.,Inagaki, A., Kanda, M., Choi, S., Okumura,M.,
Hanaoka,S. (2022) High-resolution heat-risk modeling and comparison of downtown areas of two cities on extreme hot
summer days of 2022, The 11th International Conference on Urban Climate (ICUC11), Sydney, Australia/
Renard Florent, Lucille Alonso. Variations saisonnières des températures de surface des zones climatiques locales de la
métropole de Lyon (France). Climat urbain. Entre urbanisation et changement / aléas climatiques, Feb 2022, Agadir, Maroc.
⟨hal-03640526⟩
Alonso L. et Renard F. 2020. The interest in the integration of spatial predictors in multiple linear regression models for a
richer comprehension of Lyon's urban microclimate. 3rd Remote Sensing Workshop for the Study of Urban Environments
(TEMU), Rennes, Janvier, 2020
Renard F. et Alonso L. 2020. Assessment of local climate zones based on the use of satellite imagery. 3rd Remote Sensing
Workshop for the Study of Urban Environments (TEMU), Rennes, Janvier, 2020
Alonso L. et Renard F. 2019. Spatial comparison of the perception of urban heat islands and thermal comfort zones with
participative in situ measurements and remote sensing data. Abstraction, Scale and Perception, ICC 2019 Workshop, Miraikan,
Tokyo, Japon, 15 Juillet 2019
Alonso L. 2019. The use of citizen science in the characterization of the Lyon’s urban heat and cool islands. Mobile Data
Management, Hong-Kong, Juin, 2019.
Renard F. et Alonso L. 2019. Study of urban heat island through crowd-sensing mobile measurements: a comparison with
mental maps and satellite data. Mobile Data Management, Hong-Kong, Juin, 2019.
Renard F. et Alonso L. 2019. Complementarity of different sources of urban temperature acquisition: mental maps,
participatory measurements and satellite data. XXXIIth conférence annuelle de l’Association Internationale de Climatologie
(AIC), Thessalonique, Mai, 2019.
Alonso L. et Renard F. 2019. Modeling of air temperatures by multiple linear regressions in the Rhône -Alpes region (France):
enhancement of topographic and meteorological variables by remote sensing data. Seventh International Conference on
Remote Sensing and Geoinformation of Environment, Chypre, Mars, 2019.
Alonso L. et Renard F. 2018. Effects of the most important urban requalifications in Lyon on the surface heat island. XXXIth
conférence annuelle de l’Association Internationale de Climatologie (AIC), Nice, Juillet, 2018.
Renard F. et Alonso L. 2018. Temporal evolution of the heat island and spectral indices following urban development:
application to four case studies of the Lyon urban area. 2nd Remote Sensing Workshop for the Study of Urban Environments
(TEMU), Strasbourg, Mars, 2018, 9

10. They trust us!
Trust us Join us
and

11. 11
Appendices

12. CHRONOLOGY
OF THE
CREATION OF
THE SOLUTION
2015
Start of research in
CNRS laboratory
2017
Start of the thesis on
this subject
2019
Beginning of the
support of SATT
Pulsalys
2021
Creation of the
company
Support from ESA
and the region
2022
BPI support and first
clients
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How ?