Download - The Internet’s Role in a Green Future

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Page 1: The Internet’s Role in a Green Future

San Francisco – 9.8.2012

Dominique Genoud- Yann Bocchi - HESSO//Valais Switzerland

University of Applied Sciences

Page 2: The Internet’s Role in a Green Future

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