The IoT-MGLab at the department of energy technology , Aalborg University is a living laboratory that intends to develop and demonstrate cost-effective and comfort-aware solutions for future smart homes and enables the construction of an internet of things (IoT)-based infrastructure for a data intensive system and its interaction with end-users. IoT-MGLab also serves as a demonstrator to show the viability of low voltage DC and AC systems for future households which will enhance the energy efficiency, flexibility and reliability following Danish smart grid strategy.

1. IoT Microgrid Living Laboratory - IoT-MGLab

2. Outline
1. The Idea of IoT Microgrid Lab
2. Available Infrastructure
3. FIWARE-based IoT Architecture
4. Data-driven Innovations and Energy-aware Services
5. Data Visualization
07-07-2020 2

3. 07-07-2020 3
1. The Idea of IoT Microgrid Lab

4. 07-07-2020 4
• Smart sensors for indoor/outdoor environment (weather
station, motion, Humidity, Air quality, parking, etc)
• Smart plugs and relays
• AC and IoT-ready appliances
• AC and DC supply installation for household loads
• Multi-zonal smart under-floor heating system
• 2.5kW Wind turbine, 3kW solar PV and 8KW battery
• Zigbee, WI-FI, LoRa, WM-BUS and Bluetooth
• Support for FIWARE and VICINITY IoT architecture
• Home energy management system
• Integrated e-Health for next generation of smart homes
2. Available Infrastructure
- Facilities

5. 07-07-2020 5
2. Available Infrastructure
- The schema of facilities

6. 07-07-2020 6
2. Available Infrastructure
- From the outside

7. 07-07-2020 7
KitchenLiving Room
Office
Control Room
2. Available Infrastructure
- Lab layout

8. 07-07-2020 8
Living Room Office
2. Available Infrastructure
- From the inside

9. 07-07-2020 9
Control Room Kitchen
2. Available Infrastructure
- From the inside

10. 07-07-2020 10
2. Available Infrastructure
- Resources

11. 07-07-2020 11
2. Available Infrastructure
- Resources

12. 07-07-2020 12
2. Available Infrastructure
- Supply Possibilities

13. 07-07-2020 13
2. Available Infrastructure
- Supply Possibilities

14. 07-07-2020 14
Setups already available in the AC and DC Microgrid Labs
Starting idea
2. Available Infrastructure
- DC/AC & AC/DC Conversion

15. 07-07-2020 15
Setups already available in the AC and DC Microgrid Labs
Starting idea
2. Available Infrastructure
- DC/AC & AC/DC Conversion

16. 07-07-2020 16
2. Available Infrastructure
- IoT Devices

17. 07-07-2020 17
The Squid.link Gateway using:
- Zigbee,
- Z-Wave,
- Wireless M-Bus,
- LAN connection
Software:
- Java Based application for configuring
monitoring and command the system
2. Available Infrastructure
- Develco Gateway

18. 07-07-2020 18
Smart Plug
Relay + Meter
P, Q, V, I, freq
Zigbee interface for
Kamstrup OMNIPOWER
Smart Meters
Prosumer Meter to measure:
- Generation
- Household consumption
- Utility grid
V & freq of PCC Monitoring
Smart Cable
- Same features of
Smart Plug
- Different for factor
2. Available Infrastructure
- Develco Devices for Energy Control

19. 07-07-2020 19
3. FIWARE-based IoT Architecture
- FIWARE Introduction
 Driving key standards for breaking the
information silos.
 Making IoT simpler.
 Transforming Big Data into knowledge.
 Unleashing the potential of right-time Open
Data.
 Enabling the Data Economy.
 Ensuring sovereignty on your data.
FIWARE: The Open Source Platform for Our Smart Digital Future

20. 07-07-2020 20
Advantages:
• A Building Block for Connecting
Europe Facilities (CEF)
• Open source set of solutions
• Scalable (GEs)
• Open APIs Standards
• Next generation service
Interface (NGSI)
• Based on context information
• Outcome of an European
Project
3. FIWARE-based IoT Architecture
- FIWARE Framework

21. 3. FIWARE-based IoT Architecture
- A Implement Instance of FIWARE

22. 07-07-2020 22
3. FIWARE-based IoT Architecture
- Functional Blocks

23. 07-07-2020 23
Blue boxes are IoT Devices
• Real entities (Sensor &
Actuators)
• Data coming from IoT Agents
Red boxes are Grouping Entities
• Physical Modelling of the
household, building…
Yellow boxes are Energy Assets
• Virtual Appliances
• Control Setting for DR
• Flexible association of sensors
and actuators
4. Data-driven Innovations and Energy-aware
Services
- Demand Response (DR): Data Model

24. 07-07-2020 24
Approach
• Real-time status from the
Context Broker
• Subscription Based Notifications
• Direct actuation over entities
Implementation
• Node.js
• Event oriented asynchronous
programming
• RESTful based Web Service
API
4. Data-driven Innovations and Energy-aware
Services
- Demand Response (DR): Implementation

25. 07-07-2020 25
4. Data-driven Innovations and Energy-aware
Services
- Demand Response (DR): Algorithms Overview

26. 07-07-2020 26
4. Data-driven Innovations and Energy-aware
Services
- Demand Response (DR): Load Priority

27. 07-07-2020 27
4. Data-driven Innovations and Energy-aware
Services
- Non-Intrusive Load Monitoring(NILM): Interaction

28. 07-07-2020 28
4. Data-driven Innovations and Energy-aware
Services
- Non-Intrusive Load Monitoring(NILM): Algorithm

29. 07-07-2020 29
4. Data-driven Innovations and Energy-aware
Services
- Non-Intrusive Load Monitoring(NILM): Process

30. 07-07-2020 30
5. Data Visualization
- The Real-time Web of IoT-MGLab

31. 07-07-2020 31
5. Data Visualization
- The Visualization Portal: Overview

32. 07-07-2020 32
5. Data Visualization
- The Visualization Portal: Prosumer Meter

33. 07-07-2020 33
5. Data Visualization
- The Visualization Portal: Smart Plugs