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Sustainable 
and 
Smart 
City 
: 
AUST 
Summer 
Course 
Chapter 
6 
: 
Smart 
Building 
Professor 
Isam 
SHAHROUR 
Isam.shahrour@univ-­‐lille1.fr
Ø Challenges 
of 
buildings 
Ø Smart 
Building 
Ø Pilot 
Building 
(social 
housing)
Global 
challenges 
• Energy 
Consump<on 
• Greenhouse 
emission
Energy 
consumpHon 
• Buildings 
consume 
32% 
of 
the 
total 
final 
energy. 
• In 
terms 
of 
primary 
energy, 
buildings 
consume 
around 
40% 
in 
most 
IEA 
countries.
Building 
energy 
consumpHon
Transport 
Industry 
Buildings 
Tokyo 
(2005) 
Mexico 
(2006) 
London 
(1999) 
Shanghai 
(2007) 
Building 
energy 
consumpHon
United 
States 
Commercial 
and 
industrial 
buildings 
use 
roughly 
50% 
of 
the 
energy 
in 
the 
U.S 
(cost 
over 
$400 
billion) 
US 
Buildings 
Ini<a<ve 
: 
make 
commercial 
and 
industrial 
buildings 
20% 
more 
energy 
efficient 
over 
the 
next 
10 
years 
and 
accelerate 
the 
private 
sector 
investment 
in 
energy 
efficiency.
US 
Energy 
use
Energy 
consumpHon 
-­‐ 
Ile 
de 
France 
(Paris) 
Buildings 
: 
around 
59%
Energy 
consumpHon 
in 
buildings 
(Ile 
de 
France 
(Paris) 
HeaHng 
& 
hot 
water: 
around 
82%
Greenhouse 
emission 
(Ile 
de 
France 
(Paris) 
Buildings 
: 
around 
50%
Electrical 
ConsumpHon 
– 
France 
Buildings 
65%
London 
: 
Carbon 
dioxide 
emissions 
(2006) 
Source 
Great 
London 
Authority 
(2007 
Buildings 
: 
71 
%
Berkeley 
Greenhouse 
emission 
(2011) 
Buildings 
45 
%
Quality 
of 
construcHon 
-­‐ 
France 
Poor 
quality 
buildings 
80% 
(France)
Lebanon
Lebanon 
: 
EvoluHon 
of 
the 
energy 
consumpHon
Lebanon 
: 
EvoluHon 
of 
the 
electricity 
consumpHon
Wholesale 
and 
retail 
Residen<al 
Hotel
Lebanon 
: 
Energy 
consumpHon 
by 
building 
sector 
Hot 
water 
LighHng
Building 
users 
challenges 
80 
to 
90% 
of 
users 
Hme 
indoor 
• Health 
• Customized 
services 
• 
Comfort 
• Savings 
(energy, 
water,…) 
• Security 
• Maintenance 
• Space 
management 
• Flexibility
Comfort 
: 
-­‐ Temperature 
-­‐ Humidity 
-­‐ Air 
quality 
-­‐ Ligh<ng 
-­‐ Noise
How 
to 
do 
: 
1. 
Building 
quality 
Improve 
the 
quality 
of 
construc<on( 
low 
energy 
consump<on, 
posi<ve 
energy) 
: 
• Architecture 
design 
• Insula<on, 
stores 
• Renewable 
energy 
• Building 
equipment 
(Hea<ng, 
cooling, 
ven<la<on, 
ligh<ng, 
energy 
storage) 
• Use 
of 
ICT 
(smart,…) 
for 
the 
building 
management
How 
to 
do 
: 
1. 
Building 
quality 
New 
construc<on 
: 
regula<on, 
incen<ve, 
life 
cycle 
cost,…(about 
20% 
addi<onal 
cost) 
Exis<ng 
construc<on 
:heavy 
renova<on 
to 
achieve 
high 
energy 
efficiency 
, 
incen<ve 
, 
life 
cycle 
cost,…(about 
20% 
addi<onal 
cost)
How 
to 
do 
: 
2 
: 
Use 
of 
ICT 
for 
the 
building 
performances 
1. Reduce 
the 
consump<on 
(energy, 
water, 
…) 
2. Increase 
the 
security 
3. Control 
the 
health 
quality 
4. Provide 
customized 
services
Reduce 
the 
energy 
consumpHon 
: 
• Heat/cooling 
regula<on 
(based 
on 
monitoring 
and 
usage) 
at 
different 
scales 
• Light 
regula<on 
(based 
on 
presence 
and 
natural 
light) 
• Store 
management 
(heat 
transfer, 
ligh<ng) 
• Storage 
of 
energy 
(hot 
water, 
ba`ery, 
building 
thermal 
iner<a)
Space 
management 
: 
• Op<miza<on 
of 
the 
space 
use 
• Geo-­‐localiza<on 
in 
the 
building 
(presence, 
density, 
hea<ng 
control, 
emergency,…) 
• Virtual 
office
Customized 
service 
: 
• Specific 
medical 
or 
assistance 
service 
(aged 
people,….) 
• Surveillance 
• Access 
to 
external 
services
Ø Challenges 
of 
buildings 
Ø Smart 
Building 
Ø Pilot 
Building 
(social 
housing)
An 
intelligent 
building 
was 
first 
used 
in 
the 
US 
in 
the 
early 
80’s.
DefiniHon 
by 
the 
Intelligent 
Building 
InsHtuHon 
in 
Washington: 
An 
intelligent 
building 
is 
one 
which 
integrates 
various 
systems 
to 
effecHvely 
manage 
resources 
in 
a 
coordinated 
mode 
to 
maximize: 
• 
Technical 
performance; 
• 
Flexibility 
• Investment 
and 
opera<ng 
cost 
savings
More 
recently 
CIB 
Working 
Group 
W98 
on 
Intelligent 
and 
Responsive 
Buildings 
stated: 
An 
intelligent 
building 
is 
a 
dynamic 
and 
responsive 
architecture 
that 
provides 
every 
occupant 
with 
produc<ve, 
cost 
effec<ve 
and 
environmentally 
approved 
condi<ons 
through 
a 
con<nuous 
interac<on 
among 
its 
four 
basic 
elements: 
• Places 
(fabric; 
structure; 
facili<es): 
• Processes 
(automa<on, 
control; 
systems): 
• People 
(services; 
users) 
• Management 
(maintenance; 
performance) 
and 
the 
interrela<on 
between 
them.
What 
can 
we 
expect 
of 
such 
a 
building? 
• 
Improved 
interac<on 
between 
building 
systems 
and 
building 
users 
• 
A 
building 
that 
can 
detect 
its 
state 
make 
self-­‐adjustments 
• 
Providing 
a 
healthier 
and 
more 
comfortable 
environment 
• 
Enhancement 
of 
the 
long-­‐term 
economic 
performance
What 
can 
we 
expect 
of 
such 
a 
building? 
• 
Reduces 
energy 
and 
resource 
usage 
• 
Leverages 
renewable 
energy 
technologies 
• 
Improves 
indoor 
air 
quality 
• 
Allows 
for 
easier 
maintenance 
and 
longer 
lifespan
Smart 
Sensors 
– 
monitroring
From 
point-­‐to-­‐point 
to 
complex 
network 
topologies, 
h`p://www.digikey.com/es/ar<cles/techzone/2012/jan/wireless-­‐technology-­‐for-­‐home-­‐ 
automa<on-­‐can-­‐save-­‐energy
Electrical 
ConsumpHon 
Counter
Electrical 
ConsumpHon 
h`p://powerelectronics.com/alterna<ve-­‐energy/smart-­‐grid-­‐ushers-­‐new-­‐era-­‐energy-­‐ 
conserva<on
ConstrucHon 
of 
the 
smart 
building 
Various 
commercial 
offers 
(architectures) 
depending 
on 
the 
services 
and 
priori<es: 
savings, 
comfort, 
health, 
security, 
customized 
services,..
h`p://www.electronicproducts.com/Analog_Mixed_Signal_ICs/Sensors/ 
Renesas_Solu<ons_for_Wireless_Networks_-­‐_Part_3_Energy_Harves<ng.aspx
h`p://commercialrealestateadvisor.com/cre-­‐innova<on-­‐blog/
Building 
AutomaHon 
System 
(BAS) 
·∙ 
Control 
and 
manage 
all 
electronic 
environment 
·∙ 
Reduce 
op<mizing 
electricity 
consump<on 
·∙ 
Integrated 
gadget 
and 
mobile 
phone 
·∙ 
Anywhere, 
any<me 
to 
access 
electrical 
at 
home 
h`p://www.centrin.net.id/new/solu<on/smart-­‐building.html
Smart 
Building 
for 
“aged” 
people 
h`p://ubiquitouscompu<ngdtc375.blogspot.com/2012/03/ubiquitous-­‐compu<ng-­‐and-­‐elderly-­‐sara.html
An 
example 
: 
6:55am 
-­‐ 
Grandma 
lej 
bed 
6:57am 
-­‐ 
Bathroom 
door 
closed, 
pressure 
sensor 
ac<vated 
on 
toilet 
6:58am 
-­‐ 
Bathroom 
sink 
water 
sensor 
on 
6:58am 
-­‐ 
Bathroom 
sink 
water 
sensor 
off 
etc. 
h`p://ubiquitouscompu<ngdtc375.blogspot.com/2012/03/ubiquitous-­‐ 
compu<ng-­‐and-­‐elderly-­‐sara.html
Ø Challenges 
of 
buildings 
Ø Smart 
Building 
Ø Pilot 
Building 
(social 
housing)
Smart 
system 
for 
social 
housing 
Valen=n 
Collot, 
Ammar 
Aljer, 
Romain 
Tribout 
Isam 
Shahrour, 
Afif 
Benyahya
Smart 
system 
for 
social 
housing 
Partnership: 
Lille 
Métropole 
Habitat
1) 
SpecificaHons 
ConsumpHon: 
Ø electricity 
Ø hea<ng 
Ø cold 
water 
Ø hot 
water 
Comfort 
parameters: 
Ø temperature 
Ø humidity 
Ø Air 
quality 
Ø Lightening 
Ø Noise
1) 
SpecificaHons 
Other 
parameters: 
• Occupancy 
• The 
doors 
and 
windows 
state 
(open/close) 
• Ven<la<on 
• 
fire 
alarm
1) 
SpecificaHons 
2) 
Command 
• Electrical 
appliances 
• Stores 
• Radiators 
• Ven<la<on 
• Water 
flows
1) 
SpecificaHons 
Provide 
using 
a 
local 
CPU: 
• Communica<on 
with 
sensors 
and 
actuators 
• Data 
storage 
• Local 
data 
analysis 
• Control 
according 
to 
programmed 
scenarios 
• Communica<on 
of 
data 
to 
users 
via 
various 
support 
(mobile, 
table`e,…) 
• Alarms
1) 
SpecificaHons 
Possibility 
for 
remote 
connecHon: 
Ø Access 
to 
personal 
data. 
Ø Remote 
control 
Ø Store 
data
1) 
SpecificaHons 
Possibility 
of 
data 
share 
• Comparison 
• Good 
prac<ce
1) 
Cahier 
des 
Charges 
5) 
Open 
source 
and 
friendly 
plaiorm 
• Open 
source 
sojware 
• Integra<on 
of 
commercial 
sensors, 
actuators,… 
• Low 
energy 
consump<on 
• Friendly 
users’ 
interface 
• Ease 
installa<on
2)Smart 
system 
configuraHon 
Temperature 
Sensor 
1 
Sensor2 
Sensor 
3 
Command 
radiator 
Outlet
2) 
Users 
interface 
Freindly 
Interface 
T 
= 
19° 
H 
= 
45% 
T 
= 
19° 
H 
= 
45% 
Quality 
= 
A 
T 
= 
19° 
H 
= 
45% 
T 
= 
19° 
H 
= 
45% 
19:35 
T 
= 
19° 
H 
= 
45% 
ConsumpHon 
• Electricity 
• Cold 
water 
• Hot 
Water 
• Gaz 
Real 
Hme 
Historical 
Command 
Alarm 
Analyses
Analyse 
Chauffage 
Analyse 
Modifier 
Début 
Année 
2014 
Mois 
Fev 
Jour 
11 
Heure 
10:30 
Modifier 
Fin 
Année 
2014 
Mois 
Fev 
Jour 
12 
Heure 
10:30
4) 
InstallaHon 
dans 
l’appartement 
pédagogique:
Temperature 
/ 
Humidity 
Appartement 
pédagogique: 
Indoor 
Air 
Quality 
brightness 
presence 
Electric 
consump<on
Temperature 
17 
17,5 
18 
18,5 
19 
19,5 
20 
20,5 
21 
21,5 
22 
0:03 
2:37 
5:12 
7:47 
10:21 
12:56 
15:31 
18:05 
20:40 
23:15 
2:20 
4:55 
7:30 
10:04 
12:39 
15:14 
17:49 
20:23 
22:58 
2:18 
4:53 
7:27 
10:02 
12:37 
15:11 
17:46 
20:21 
22:55 
2:01 
4:36 
7:10 
9:45 
12:20 
14:55 
17:29 
20:04 
22:39 
1:44 
4:19 
6:54 
9:29 
12:03 
14:38 
17:13 
19:47 
22:22 
[°C] 
Température 
Séjour 
Température 
Ch2 
/ 
Bureau 
29/01/2014 
30/01/2014 
31/01/2014 
01/02/2014 
02/02/2014
Humidity 
25 
27 
29 
31 
33 
35 
37 
39 
0:03 
2:37 
5:12 
7:47 
10:21 
12:56 
15:31 
18:05 
20:40 
23:15 
2:20 
4:55 
7:30 
10:04 
12:39 
15:14 
17:49 
20:23 
22:58 
2:18 
4:53 
7:27 
10:02 
12:37 
15:11 
17:46 
20:21 
22:55 
2:01 
4:36 
7:10 
9:45 
12:20 
14:55 
17:29 
20:04 
22:39 
1:44 
4:19 
6:54 
9:29 
12:03 
14:38 
17:13 
19:47 
22:22 
[%] 
Humidité 
Séjour 
[%] 
Humidité 
Ch2 
/ 
Bureau 
[%] 
29/01/2014 
30/01/2014 
31/01/2014 
01/02/2014 
02/02/2014
l’ensemble 
des 
gaz 
toxiques 
détectés 
pour 
échelonner 
la 
qualité 
de 
l’air. 
Le 
capteur 
Un 
signal 
analogique 
calcul 
la 
concentra<on 
de 
détecte 
plusieurs 
sortes 
de 
gaz. 
Air 
quality 
60 
65 
70 
75 
80 
85 
90 
95 
100 
105 
110 
0:24 
2:04 
3:44 
5:24 
7:04 
8:44 
10:24 
12:05 
13:45 
15:25 
17:05 
18:45 
20:25 
22:05 
23:45 
1:44 
3:24 
5:04 
6:44 
8:24 
10:04 
11:44 
13:25 
15:05 
16:45 
18:25 
20:05 
21:45 
23:25 
1:24 
3:04 
4:44 
6:24 
8:04 
9:44 
11:24 
13:05 
14:45 
16:25 
Qualité 
d'air 
du 
séjour 
0 
-­‐200 
: 
Air 
frais 
200 
– 
400 
: 
Air 
peu 
pollué 
400 
– 
600 
: 
Air 
Pollué 
600 
– 
800 
: 
Air 
très 
pollué
1065000 
0 
500 
1066500 
1000 
1067000 
1500 
1068000 
2000 
1068500 
2500 
3000 
1070000 
3500 
1065500 
1066000 
1067500 
1069000 
1069500 
0:04 
1:24 
2:44 
4:04 
5:24 
6:44 
8:04 
9:24 
10:44 
12:04 
13:24 
14:44 
16:04 
17:24 
18:44 
20:04 
21:24 
22:44 
0:04 
1:24 
2:44 
4:04 
5:24 
6:44 
8:04 
9:24 
10:44 
12:04 
13:24 
14:44 
16:04 
17:24 
18:44 
20:04 
21:24 
22:44 
0:04 
1:24 
2:44 
4:04 
5:24 
6:44 
8:04 
9:24 
10:44 
12:03 
13:23 
[Wh] Index 
[Wh] 
Puissance 
Apparente 
[VA] 
[VA] 
ConsommaHon 
électrique 
12/02/2014 
13/02/2014 
14/02/2014

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Professor Isam Shahrour Summer Course « Smart and Sustainable City » Chapter 6 “Smart Building” American University of Science and Technology August 2014.

  • 1. Sustainable and Smart City : AUST Summer Course Chapter 6 : Smart Building Professor Isam SHAHROUR Isam.shahrour@univ-­‐lille1.fr
  • 2. Ø Challenges of buildings Ø Smart Building Ø Pilot Building (social housing)
  • 3. Global challenges • Energy Consump<on • Greenhouse emission
  • 4. Energy consumpHon • Buildings consume 32% of the total final energy. • In terms of primary energy, buildings consume around 40% in most IEA countries.
  • 6.
  • 7.
  • 8.
  • 9. Transport Industry Buildings Tokyo (2005) Mexico (2006) London (1999) Shanghai (2007) Building energy consumpHon
  • 10. United States Commercial and industrial buildings use roughly 50% of the energy in the U.S (cost over $400 billion) US Buildings Ini<a<ve : make commercial and industrial buildings 20% more energy efficient over the next 10 years and accelerate the private sector investment in energy efficiency.
  • 12. Energy consumpHon -­‐ Ile de France (Paris) Buildings : around 59%
  • 13. Energy consumpHon in buildings (Ile de France (Paris) HeaHng & hot water: around 82%
  • 14. Greenhouse emission (Ile de France (Paris) Buildings : around 50%
  • 15. Electrical ConsumpHon – France Buildings 65%
  • 16. London : Carbon dioxide emissions (2006) Source Great London Authority (2007 Buildings : 71 %
  • 17. Berkeley Greenhouse emission (2011) Buildings 45 %
  • 18. Quality of construcHon -­‐ France Poor quality buildings 80% (France)
  • 20. Lebanon : EvoluHon of the energy consumpHon
  • 21. Lebanon : EvoluHon of the electricity consumpHon
  • 22. Wholesale and retail Residen<al Hotel
  • 23.
  • 24. Lebanon : Energy consumpHon by building sector Hot water LighHng
  • 25. Building users challenges 80 to 90% of users Hme indoor • Health • Customized services • Comfort • Savings (energy, water,…) • Security • Maintenance • Space management • Flexibility
  • 26. Comfort : -­‐ Temperature -­‐ Humidity -­‐ Air quality -­‐ Ligh<ng -­‐ Noise
  • 27. How to do : 1. Building quality Improve the quality of construc<on( low energy consump<on, posi<ve energy) : • Architecture design • Insula<on, stores • Renewable energy • Building equipment (Hea<ng, cooling, ven<la<on, ligh<ng, energy storage) • Use of ICT (smart,…) for the building management
  • 28. How to do : 1. Building quality New construc<on : regula<on, incen<ve, life cycle cost,…(about 20% addi<onal cost) Exis<ng construc<on :heavy renova<on to achieve high energy efficiency , incen<ve , life cycle cost,…(about 20% addi<onal cost)
  • 29. How to do : 2 : Use of ICT for the building performances 1. Reduce the consump<on (energy, water, …) 2. Increase the security 3. Control the health quality 4. Provide customized services
  • 30. Reduce the energy consumpHon : • Heat/cooling regula<on (based on monitoring and usage) at different scales • Light regula<on (based on presence and natural light) • Store management (heat transfer, ligh<ng) • Storage of energy (hot water, ba`ery, building thermal iner<a)
  • 31. Space management : • Op<miza<on of the space use • Geo-­‐localiza<on in the building (presence, density, hea<ng control, emergency,…) • Virtual office
  • 32. Customized service : • Specific medical or assistance service (aged people,….) • Surveillance • Access to external services
  • 33. Ø Challenges of buildings Ø Smart Building Ø Pilot Building (social housing)
  • 34. An intelligent building was first used in the US in the early 80’s.
  • 35. DefiniHon by the Intelligent Building InsHtuHon in Washington: An intelligent building is one which integrates various systems to effecHvely manage resources in a coordinated mode to maximize: • Technical performance; • Flexibility • Investment and opera<ng cost savings
  • 36. More recently CIB Working Group W98 on Intelligent and Responsive Buildings stated: An intelligent building is a dynamic and responsive architecture that provides every occupant with produc<ve, cost effec<ve and environmentally approved condi<ons through a con<nuous interac<on among its four basic elements: • Places (fabric; structure; facili<es): • Processes (automa<on, control; systems): • People (services; users) • Management (maintenance; performance) and the interrela<on between them.
  • 37. What can we expect of such a building? • Improved interac<on between building systems and building users • A building that can detect its state make self-­‐adjustments • Providing a healthier and more comfortable environment • Enhancement of the long-­‐term economic performance
  • 38. What can we expect of such a building? • Reduces energy and resource usage • Leverages renewable energy technologies • Improves indoor air quality • Allows for easier maintenance and longer lifespan
  • 39. Smart Sensors – monitroring
  • 40.
  • 41.
  • 42.
  • 43.
  • 44. From point-­‐to-­‐point to complex network topologies, h`p://www.digikey.com/es/ar<cles/techzone/2012/jan/wireless-­‐technology-­‐for-­‐home-­‐ automa<on-­‐can-­‐save-­‐energy
  • 47.
  • 48. ConstrucHon of the smart building Various commercial offers (architectures) depending on the services and priori<es: savings, comfort, health, security, customized services,..
  • 49.
  • 52.
  • 53.
  • 54. Building AutomaHon System (BAS) ·∙ Control and manage all electronic environment ·∙ Reduce op<mizing electricity consump<on ·∙ Integrated gadget and mobile phone ·∙ Anywhere, any<me to access electrical at home h`p://www.centrin.net.id/new/solu<on/smart-­‐building.html
  • 55.
  • 56. Smart Building for “aged” people h`p://ubiquitouscompu<ngdtc375.blogspot.com/2012/03/ubiquitous-­‐compu<ng-­‐and-­‐elderly-­‐sara.html
  • 57. An example : 6:55am -­‐ Grandma lej bed 6:57am -­‐ Bathroom door closed, pressure sensor ac<vated on toilet 6:58am -­‐ Bathroom sink water sensor on 6:58am -­‐ Bathroom sink water sensor off etc. h`p://ubiquitouscompu<ngdtc375.blogspot.com/2012/03/ubiquitous-­‐ compu<ng-­‐and-­‐elderly-­‐sara.html
  • 58. Ø Challenges of buildings Ø Smart Building Ø Pilot Building (social housing)
  • 59. Smart system for social housing Valen=n Collot, Ammar Aljer, Romain Tribout Isam Shahrour, Afif Benyahya
  • 60. Smart system for social housing Partnership: Lille Métropole Habitat
  • 61. 1) SpecificaHons ConsumpHon: Ø electricity Ø hea<ng Ø cold water Ø hot water Comfort parameters: Ø temperature Ø humidity Ø Air quality Ø Lightening Ø Noise
  • 62. 1) SpecificaHons Other parameters: • Occupancy • The doors and windows state (open/close) • Ven<la<on • fire alarm
  • 63. 1) SpecificaHons 2) Command • Electrical appliances • Stores • Radiators • Ven<la<on • Water flows
  • 64. 1) SpecificaHons Provide using a local CPU: • Communica<on with sensors and actuators • Data storage • Local data analysis • Control according to programmed scenarios • Communica<on of data to users via various support (mobile, table`e,…) • Alarms
  • 65. 1) SpecificaHons Possibility for remote connecHon: Ø Access to personal data. Ø Remote control Ø Store data
  • 66. 1) SpecificaHons Possibility of data share • Comparison • Good prac<ce
  • 67. 1) Cahier des Charges 5) Open source and friendly plaiorm • Open source sojware • Integra<on of commercial sensors, actuators,… • Low energy consump<on • Friendly users’ interface • Ease installa<on
  • 68. 2)Smart system configuraHon Temperature Sensor 1 Sensor2 Sensor 3 Command radiator Outlet
  • 69. 2) Users interface Freindly Interface T = 19° H = 45% T = 19° H = 45% Quality = A T = 19° H = 45% T = 19° H = 45% 19:35 T = 19° H = 45% ConsumpHon • Electricity • Cold water • Hot Water • Gaz Real Hme Historical Command Alarm Analyses
  • 70. Analyse Chauffage Analyse Modifier Début Année 2014 Mois Fev Jour 11 Heure 10:30 Modifier Fin Année 2014 Mois Fev Jour 12 Heure 10:30
  • 71. 4) InstallaHon dans l’appartement pédagogique:
  • 72. Temperature / Humidity Appartement pédagogique: Indoor Air Quality brightness presence Electric consump<on
  • 73. Temperature 17 17,5 18 18,5 19 19,5 20 20,5 21 21,5 22 0:03 2:37 5:12 7:47 10:21 12:56 15:31 18:05 20:40 23:15 2:20 4:55 7:30 10:04 12:39 15:14 17:49 20:23 22:58 2:18 4:53 7:27 10:02 12:37 15:11 17:46 20:21 22:55 2:01 4:36 7:10 9:45 12:20 14:55 17:29 20:04 22:39 1:44 4:19 6:54 9:29 12:03 14:38 17:13 19:47 22:22 [°C] Température Séjour Température Ch2 / Bureau 29/01/2014 30/01/2014 31/01/2014 01/02/2014 02/02/2014
  • 74. Humidity 25 27 29 31 33 35 37 39 0:03 2:37 5:12 7:47 10:21 12:56 15:31 18:05 20:40 23:15 2:20 4:55 7:30 10:04 12:39 15:14 17:49 20:23 22:58 2:18 4:53 7:27 10:02 12:37 15:11 17:46 20:21 22:55 2:01 4:36 7:10 9:45 12:20 14:55 17:29 20:04 22:39 1:44 4:19 6:54 9:29 12:03 14:38 17:13 19:47 22:22 [%] Humidité Séjour [%] Humidité Ch2 / Bureau [%] 29/01/2014 30/01/2014 31/01/2014 01/02/2014 02/02/2014
  • 75. l’ensemble des gaz toxiques détectés pour échelonner la qualité de l’air. Le capteur Un signal analogique calcul la concentra<on de détecte plusieurs sortes de gaz. Air quality 60 65 70 75 80 85 90 95 100 105 110 0:24 2:04 3:44 5:24 7:04 8:44 10:24 12:05 13:45 15:25 17:05 18:45 20:25 22:05 23:45 1:44 3:24 5:04 6:44 8:24 10:04 11:44 13:25 15:05 16:45 18:25 20:05 21:45 23:25 1:24 3:04 4:44 6:24 8:04 9:44 11:24 13:05 14:45 16:25 Qualité d'air du séjour 0 -­‐200 : Air frais 200 – 400 : Air peu pollué 400 – 600 : Air Pollué 600 – 800 : Air très pollué
  • 76. 1065000 0 500 1066500 1000 1067000 1500 1068000 2000 1068500 2500 3000 1070000 3500 1065500 1066000 1067500 1069000 1069500 0:04 1:24 2:44 4:04 5:24 6:44 8:04 9:24 10:44 12:04 13:24 14:44 16:04 17:24 18:44 20:04 21:24 22:44 0:04 1:24 2:44 4:04 5:24 6:44 8:04 9:24 10:44 12:04 13:24 14:44 16:04 17:24 18:44 20:04 21:24 22:44 0:04 1:24 2:44 4:04 5:24 6:44 8:04 9:24 10:44 12:03 13:23 [Wh] Index [Wh] Puissance Apparente [VA] [VA] ConsommaHon électrique 12/02/2014 13/02/2014 14/02/2014