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Vienna, Austria
12-13 June, 2023
#FIWARESummit
From Data
to Value
OPEN SOURCE
OPEN STANDARDS
OPEN COMMUNITY
Fog Computing Network for
Local Energy Markets
Junsong Du, Institute for Energy Efficient Building and Indoor Climate
RWTH Aachen
2 Junsong Du | 13.06.2023
Background: Energy Communities and Local Energy Markets (LEM)
■ Challenges for future energy systems
≡ decentralized renewables, distribution grid balancing, social effects, etc.
■ Emphasis on the concept “Energy Communities“ in two EU directives [2], [3]
≡ Objectives: increase social acceptance, encourage local investment and decentralized energy generation
Energy Community
Coordinator
Private
Household
P2C P2P
Energy Communities require a new market model: Local Energy Market (LEM)
■ Different market models exist:
Information interaction platform is still a key issue of LEM [1]
3 Junsong Du | 13.06.2023
Proposed Framework: Fog Computing Networks for LEM
Cloud Layer
Edge Layer
Data
Processing
Intelligence
Perception
Layer
Energy Community Coordinator
End
Customers
Energy System Operator
…
End
Customers
End
Customers
…
Lower layers do most of the data processing, while intelligence is created at the upper layers [4]
4 Junsong Du | 13.06.2023
Previous Works: District Generator, a python tool [5]
Input Output
▪ Information of buildings
▪ Type & Building Year
▪ Retrofiting level (0, 1, 2)
▪ Location/ Climate Zone
▪ Installed technology types
(e.g. PV/ Heat Pump)
▪ Demand profiles (heating/
electricity)
Intermediate
▪ Building Geometry
▪ Generation/Consumption profiles
of energy devices
▪ Technical data of energy
devices
▪ Users Behavior
github.com/RWTH-
EBC/districtgenerator
▪ Visualizations via charts
■ Main Usage:
≡ Offers Knowledge of the energy demands
≡ Exploits Synergy potentials between buildings
≡ Supports Scalability for district planning
5 Junsong Du | 13.06.2023
Proof-of-Concept: Simulation Environment of LEM
…
Virtual Machine 1 Virtual Machine 2 Raspberry Pi
Virtual Machine 1
Energy Community Coordinator
End Customers
Edge Information
Platform
Community Energy Management Service
openHAB [7]
Information Interaction Platform
Cloud Layer
Edge Layer
Perception
Layer
6 Junsong Du | 13.06.2023
Proof-of-Concept: Simulation Environment of LEM
…
Raspberry Pi
Energy Community Coordinator
End Customers
MQTT Broker
IoTagent JSON Orion Context Broker
Community Energy Management Service
Time-Series Data Base
Gateway
(Publisher/Listener)
Building Energy
Management Service
openHAB [7]
Energy Devices
(from districtgenerator)
Cloud Layer
Edge Layer
Perception
Layer
Virtual Machine 1 Virtual Machine 2
Virtual Machine 1
7 Junsong Du | 13.06.2023
Proof-of-Concept: View of Community Coordinator
■ Monitoring LEM of the energy community ■ Monitoring energy flows of buildings
Available Energy Flows [W] Permitted Energy Flows [W]
Building ID
8 Junsong Du | 13.06.2023
Proof-of-Concept: View of Community Coordinator
■ Monitor local energy system
Main Grid [W] Community Grid [W]
Total Energy Flows [W]
Heat Pump [W] Other Consumption [W] Photovoltaic (PV) [W] Electrical Heater [W]
FIWARE Gateway
9 Junsong Du | 13.06.2023
Summary
■ Local energy market (LEM)
≡ LEM model is essential to energy transition
≡ Information interaction platform is still a key issue of LEM
■ Fog computing network architecture
≡ Interoperable and scalable
≡ User acceptance through the protection of private data
■ Proof-of-Concept
≡ District Generator: a python tool generating synthetic data for residential districts
≡ FIWARE as coordinators: interacts with other platforms at lower layers
10 Junsong Du | 13.06.2023
Everything is open source
FIWARE Library for Python
(FiLiP)
https://pypi.org/project/filip/
Frameworks, tutorials, and
tools, including Entirety
https://github.com/N5GEH
Project webpage with
additional information
https://n5geh.com
District Generator
https://github.com/RWTH-
EBC/districtgenerator
Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.org
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Vienna, Austria
12-13 June, 2023
#FIWARESummit
Thanks!
13 Sebastian Blechmann & Junsong Du | 13.06.2023
References
[1]: Chen et al. “Community Integrated Energy System Trading: A Comprehensive Review”. Journal of Modern Power Systems and Clean Energy 10, Nr. 6 (November
2022): 1445–58. https://doi.org/10.35833/MPCE.2022.000044.
[2]: DIRECTIVE (EU) 2019/ 944 OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL - of 5 June 2019 -
on Common Rules for the Internal Market for Electricity and Amending Directive 2012/ 27/ EU
[3]: DIRECTIVE (EU) 2018/ 2001 OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL - of 11 December 2018 -
on the Promotion of the Use of Energy from Renewable Sources
[4]: Ai et al. “Edge Computing Technologies for Internet of Things: A Primer”. Digital Communications and Networks 4, Nr. 2 (1. April 2018): 77–86.
https://doi.org/10.1016/j.dcan.2017.07.001.
[5]: districtgenerator: https://github.com/RWTH-EBC/districtgenerator

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Smart Energy -Junsong Du.pptx

  • 1. Vienna, Austria 12-13 June, 2023 #FIWARESummit From Data to Value OPEN SOURCE OPEN STANDARDS OPEN COMMUNITY Fog Computing Network for Local Energy Markets Junsong Du, Institute for Energy Efficient Building and Indoor Climate RWTH Aachen
  • 2. 2 Junsong Du | 13.06.2023 Background: Energy Communities and Local Energy Markets (LEM) ■ Challenges for future energy systems ≡ decentralized renewables, distribution grid balancing, social effects, etc. ■ Emphasis on the concept “Energy Communities“ in two EU directives [2], [3] ≡ Objectives: increase social acceptance, encourage local investment and decentralized energy generation Energy Community Coordinator Private Household P2C P2P Energy Communities require a new market model: Local Energy Market (LEM) ■ Different market models exist: Information interaction platform is still a key issue of LEM [1]
  • 3. 3 Junsong Du | 13.06.2023 Proposed Framework: Fog Computing Networks for LEM Cloud Layer Edge Layer Data Processing Intelligence Perception Layer Energy Community Coordinator End Customers Energy System Operator … End Customers End Customers … Lower layers do most of the data processing, while intelligence is created at the upper layers [4]
  • 4. 4 Junsong Du | 13.06.2023 Previous Works: District Generator, a python tool [5] Input Output ▪ Information of buildings ▪ Type & Building Year ▪ Retrofiting level (0, 1, 2) ▪ Location/ Climate Zone ▪ Installed technology types (e.g. PV/ Heat Pump) ▪ Demand profiles (heating/ electricity) Intermediate ▪ Building Geometry ▪ Generation/Consumption profiles of energy devices ▪ Technical data of energy devices ▪ Users Behavior github.com/RWTH- EBC/districtgenerator ▪ Visualizations via charts ■ Main Usage: ≡ Offers Knowledge of the energy demands ≡ Exploits Synergy potentials between buildings ≡ Supports Scalability for district planning
  • 5. 5 Junsong Du | 13.06.2023 Proof-of-Concept: Simulation Environment of LEM … Virtual Machine 1 Virtual Machine 2 Raspberry Pi Virtual Machine 1 Energy Community Coordinator End Customers Edge Information Platform Community Energy Management Service openHAB [7] Information Interaction Platform Cloud Layer Edge Layer Perception Layer
  • 6. 6 Junsong Du | 13.06.2023 Proof-of-Concept: Simulation Environment of LEM … Raspberry Pi Energy Community Coordinator End Customers MQTT Broker IoTagent JSON Orion Context Broker Community Energy Management Service Time-Series Data Base Gateway (Publisher/Listener) Building Energy Management Service openHAB [7] Energy Devices (from districtgenerator) Cloud Layer Edge Layer Perception Layer Virtual Machine 1 Virtual Machine 2 Virtual Machine 1
  • 7. 7 Junsong Du | 13.06.2023 Proof-of-Concept: View of Community Coordinator ■ Monitoring LEM of the energy community ■ Monitoring energy flows of buildings Available Energy Flows [W] Permitted Energy Flows [W] Building ID
  • 8. 8 Junsong Du | 13.06.2023 Proof-of-Concept: View of Community Coordinator ■ Monitor local energy system Main Grid [W] Community Grid [W] Total Energy Flows [W] Heat Pump [W] Other Consumption [W] Photovoltaic (PV) [W] Electrical Heater [W] FIWARE Gateway
  • 9. 9 Junsong Du | 13.06.2023 Summary ■ Local energy market (LEM) ≡ LEM model is essential to energy transition ≡ Information interaction platform is still a key issue of LEM ■ Fog computing network architecture ≡ Interoperable and scalable ≡ User acceptance through the protection of private data ■ Proof-of-Concept ≡ District Generator: a python tool generating synthetic data for residential districts ≡ FIWARE as coordinators: interacts with other platforms at lower layers
  • 10. 10 Junsong Du | 13.06.2023 Everything is open source FIWARE Library for Python (FiLiP) https://pypi.org/project/filip/ Frameworks, tutorials, and tools, including Entirety https://github.com/N5GEH Project webpage with additional information https://n5geh.com District Generator https://github.com/RWTH- EBC/districtgenerator
  • 11. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.org Hosting Partner Keystone Sponsors Media Partners Find Us On Stay up to date Be certified and featured JOIN OUR NEWSLETTER
  • 12. Vienna, Austria 12-13 June, 2023 #FIWARESummit Thanks!
  • 13. 13 Sebastian Blechmann & Junsong Du | 13.06.2023 References [1]: Chen et al. “Community Integrated Energy System Trading: A Comprehensive Review”. Journal of Modern Power Systems and Clean Energy 10, Nr. 6 (November 2022): 1445–58. https://doi.org/10.35833/MPCE.2022.000044. [2]: DIRECTIVE (EU) 2019/ 944 OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL - of 5 June 2019 - on Common Rules for the Internal Market for Electricity and Amending Directive 2012/ 27/ EU [3]: DIRECTIVE (EU) 2018/ 2001 OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL - of 11 December 2018 - on the Promotion of the Use of Energy from Renewable Sources [4]: Ai et al. “Edge Computing Technologies for Internet of Things: A Primer”. Digital Communications and Networks 4, Nr. 2 (1. April 2018): 77–86. https://doi.org/10.1016/j.dcan.2017.07.001. [5]: districtgenerator: https://github.com/RWTH-EBC/districtgenerator