the internet’s role in a green future
DESCRIPTION
Dominique Genoud and Yann Bocchi present solutions currently being explored by the Swiss and European research projects IoT6, Hobnet and UDG. All of these initiatives aim to exploit the potential of the new Internet Protocol, IPv6, which will allow and manage the multitudes of unique IP addresses needed as more and more “things” come online.TRANSCRIPT
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San Francisco – 9.8.2012
Dominique Genoud- Yann Bocchi - HESSO//Valais Switzerland
University of Applied Sciences
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More than 15,500 students, the largest UAS in Switzerland
27 schools in 7 cantons
About 10,000 employees (the equivalent of more than 3,000 full-time positions)
Education in 6 fields
41 Bachelor’s degree programmes
16 Master’s degree programmes
170 recognized continuing education courses
HES-SO in brief
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Institute of Business Information Systems
Institute of Business
Information Systems
http://iig.hevs.ch
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EM 21 : Vers l'indépendance des flux d'énergie
(from Michel Bonvin Hesso) 10
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avant 1960 1961 - 1995 1996 - 2000
Switzerland : Home building / Building date
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Building Automation Systems : 3 tiers
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Now : Building automation layers & protocoles
Modbus
JCI N2SBT P1
Management
Tier
Field
Tier
Automation
Tier
silos
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Smart Buildings : multiple protocoles
1.
2.
3.
4.
5.
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UDG Server
(OSGI)
Middleware
Kernel
UDG Architecture(2007)
IPv6
Events Actions IPv6
GUI
MPC
MPC
Archimède Solutions Mandat International Smart Home Hes-so
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• Now we can run numerous scenarios & services
– inside & outside of the building
– locally or remotely
• => Internet of Buildings
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GUI mobile
UDG + IoT6 integration
UDG Server
(OSGI)
Middleware
Kernel
IoT6 IoT6
IoT6
GUI admin
GUI room
IoT6
SOA
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Information system input: smartly connected buildings
SOA
UDG Server
(OSGI)
Middleware
Kernel
IPv6
IPv6
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Smart grids and the IoT: micro-grid approach
SOA UDG Server
(OSGI)
Middleware
Kernel
SOA UDG Server
(OSGI)
Middleware
Kernel
IoT6
IoT6
Information system
Data analysis
Smart-buildings interconnection
Local energy production Local storage
Local energy consumption
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The necessity of Load balancing of the microgrids
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Using data to tune the microgrid
DB
All Energy parameters
(low speed)
Storage parameters
Elec Consumption parameters (high speed)
solar parameters
Modeling Prédiction
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Consumption prediction using data
Load curves Next ¼ hour instructions Next ¼ rate
Low frequency parameters (load curves) High frequency parameters(device mesures) Energy predictions (meteo, long term climate stats