greenmind - vu · 2017-10-17 · living lab - overview lab name location scale devices purpose ds...

*Faris Nizamic, *Tuan Anh Nguyen

Alexander Lazovik, Marco Aiello

Distributed Systems Group

Johann Bernoulli Institute

Faculty for Mathematics and Computer Science

University of Groningen

GreenMind An Architecture and Realization for

Energy Smart Buildings

Prof. Dr. Marco Aiello

Research focus:

• Smart Energy Systems

• Service-oriented processes and middleware

• Service composition and planning

• Testing of SOA systems

Website: http://www.cs.rug.nl/ds/

RUG, Distributed Systems group

http://www.cs.rug.nl/ds/

http://www.cs.rug.nl/ds/

Who are we?

Faris Nizamic [email protected]

PhD student at Distributed Systems at RUG

Testing of highly distributed SOA systems Resilient Energy Smart Systems

MSc in Computer Science,

University of Sarajevo Bosnia and Herzegovina

Tuan Anh Nguyen [email protected]

PhD student at Distributed Systems at RUG

Activity recognition in wireless sensor networks Information processing in sensor networks

MSc in Computer Science,

Hanoi University of Technology Vietnam

mailto:[email protected]


90% 40%

40%

90% 30%

major contributor

90% 40%

30%

20% 2020

Reduce energy consumption

Buildings not aware of people

Presence

Optimizes operation of building subsystems while guaranteeing at least the same comfort for users.

GreenMind Architecture

Technical Architecture GreenMind:

physical layer

…SAGWs…

Database

Context

Consumption Measurement

Orchestrator Sleep

Management Server (SMS)

Controller

Interaction

ubiquitous layer

RFID ZigBee Plugwise

Consumption Display

Mobile App

Technical Architecture

EnOcean

Heating/Cooling Control

Lighting Control

Workstation Control

Plug Appliance Control

physical layer

…SAGWs…

Database

Context


Sleep Management Server (SMS)

Interaction

ubiquitous layer

RFID ZigBee

Consumption Display

Mobile App


EnOcean

Orchestrator

Controller

Plugwise


Lighting Control

Workstation Control


physical layer

…SAGWs…

Database

Context


Orchestrator Sleep


Controller

Interaction

ubiquitous layer

RFID ZigBee Plugwise

Consumption Display

Mobile App


EnOcean


Lighting Control

Workstation Control


GreenMind

Sustainable integration GreenMind:

We recycle information

Pilot project

Realization

2012 2014

Competition

Rewarding outstanding ideas in the field of sustainability within University buildings or business operations

Conditions

Realization must take place within 1 year

The payback period must be no more than 7 years from the date of the project completion

Reward The implementation costs may be no more than EUR 100,000

Green Mind Award

Green Mind Award

Proposal We proposed technical adjustments within our

Faculty building (Bernoulliborg) that result in electricity consumption reduction, as well as water savings and increase recycling rates

Submitted ideas There were 62 proposed sustainable projects in

total

Award Our team won the 1st place of the Green Mind

Award, and at this moment our project “Bernoulliborg – The building of sustainability” is being implemented. Expected end date of the project is: Dec 15, 2014.

Bernoulli building

Floor area: 12.000 m2

Number of staff: 307

Students capacity: 500

Number of offices: 180

Number of lecture rooms: 16

Electricity consumption: ~1,400,000 kWh/year

The Bernoulliborg (2008), the Zernike Complex (Nijenborgh 9)

Electricity consumption distribution

Heating/cooling system

34%

Lighting 22%

Workstations 26%

Plug appliances

5%

Other 13%

Realization stages

1. Understand the behaviour in the environment by real-time consumption measurement at device level

2. Reduce consumption by controlling individual consumer sub-systems

1) Consumption measurement

Purpose:

Monitoring (and controlling) personal consumption

Database

2) Consumption Display

Purpose:

Showing common electricity consumption

Devices:

live-display

(also available through a web interface)

Consumption Display

Mobile App

3) greenPC solution

Purpose: Monitoring and controlling PC consumption in a controlled environment

Saving estimation:

33% per workstation

Sleep


4) Lighting control

Purpose: Monitoring and controlling common consumption

Saving estimation:

22.5%

Orchestrator

Controller

Plugwise

Lighting Control

5) Appliances control

Purpose: Monitoring and controlling office appliances

Measured saving:

10%

Orchestrator

Controller

Plugwise


6) Heating/cooling control

Purpose: Reduce heating/cooling room preparation time to minimal required

Saving estimation:

20%

Orchestrator

Controller

Plugwise


Sub-system Consumption

per sub-system

Heating/cooling system 34%

Lighting 22%

Workstations 26%

Plug appliances 5%

Other 13%

Potential saving summary


per sub-system Saving per sub-system

Heating/cooling system 34% 20%

Lighting 22% 56%

Workstations 26% 33%

Plug appliances 5% 10%

Other 13% 0%




per sub-system Saving per sub-system

Saving overall

Heating/cooling system 34% 20% 7%

Lighting 22% 56% 12%

Workstations 26% 33% 9%

Plug appliances 5% 10% 1%

Other 13% 0% 0%

Total: 28%

Projections for The Netherlands

15 % for non-residential buildings

7,386,334 tons CO2e/year*

3 billion of Euros/year**

* The Netherlands Ministry of Economic Affairs, Agriculture and Innovation, Energy Report 2011. ** Energy prices report: The Netherlands, URL: http://www.energy.eu/

http://www.energy.eu/

Take-home message

1. With this ICT solution, buildings are aware of people and dynamical changes in the environment

2. Potential savings of 28% per building

3. If widely applied, could have significant impact on the sustainability

Living lab - overview

Lab name Location Scale Devices Purpose

DS offices 5th floor 15 rooms 45 sensors Monitoring and controlling personal consumption

DS social corner 5th floor 1 room 1 display Vieving common consumption

BB Restaurant Ground floor 1 large room 30 sensors Monitoring and controlling common consumption

DS lab 5th floor (DS lab) 1 room 7 PCs Monitoring and controlling PC consumption in a controlled environment

Bernoulliborg Whole building 180 offices 300 PCs Monitoring and controlling PC consumption in a production environment

~200 rooms ~380 devices

Related publications

• F. Nizamic, T. A. Nguyen, A. Lazovik and M. Aiello (2014) GreenMind - An Architecture and Realization for Energy Smart Buildings. In Proceedings of the 2nd International Conference on ICT for Sustainability

• T. A. Nguyen and M. Aiello (2013) Energy Intelligent Buildings based on User Activity: A Survey. Energy and Buildings, 56:244-257.

• I. Georgievski, T. A. Nguyen, and M. Aiello (2013) Combining Activity Recognition and AI Planning for Energy-Saving Offices. In Proceedings of the IEEE International Conference on Ubiquitous Intelligence and Computing,238–245.

• I. Georgievski, V. Degeler, G. A. Pagani, T. A. Nguyen, A. Lazovik, and M. Aiello (2012) Optimizing Energy Costs for Offices Connected to the Smart Grid. IEEE Transactions on Smart Grid, 3:2273-2285.

• T. A. Nguyen, A. Raspitzu and M. Aiello (2013) Ontology-based Office Activity Recognition with Applications for Energy Savings. Journal of Ambient Intelligence and Humanized Computing. To appear.

• T. A. Nguyen and M. Aiello (2013) Energy Intelligent Buildings based on User Activity: A Survey. Energy and Buildings, 56:244-257.

http://www.cs.rug.nl/ds/uploads/pubs/nizamic2014_ict4s.pdf






http://dx.doi.org/10.1016/j.enbuild.2012.09.005


http://dx.doi.org/10.1109/UIC-ATC.2013.106




http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6377248

http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6377248

http://link.springer.com/article/10.1007/s12652-013-0206-7






Faris Nizamic

[email protected]

GreenMind An Architecture and Realization for

Energy Smart Buildings

Tuan Anh Nguyen

[email protected]



greenmind - vu · 2017-10-17 · living lab - overview lab name location scale devices purpose ds...

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