This document summarizes a virtual power plant project in Cologne, Germany called the Stegerwaldsiedlung settlement. The project involves installing photovoltaic panels, heat pumps, battery storage, and connecting buildings to district heating from a nearby power plant. An energy management system called Siedlungsmanagement optimizes local energy production and consumption. It forecasts energy use using self-learning algorithms and sends schedules to individual buildings. The project aims to minimize grid usage, fossil fuel use, and energy feed-in to the grid. Progress is measured using key performance indicators related to renewable energy production and reduced emissions.

1. Virtual Power Plant in a
settlement in Cologne
GrowSmarter Webinar
Low Energy Districts
30. January.2018

2. Agenda
• Overview of the systems
• Involved partners
• Cloud-based energy management – Siedlungsmanagement
• Visualization
• KPIs to assess the impact of the implemented measures

3. PROJECT AREA - STEGERWALDSIEDLUNG
finished
under construction

4. PHOTOVOLTAIC
• The Photovoltaic (ca. 820kWp) is
installed on the 12/16 finished
buildings
• On two buildings the PV systems are
currently being installed
• On the remaining two buildings
subconstructures and cables are
being laid on the roofs.

5. HEAT PUMPS AND
DISTRICT HEATING
• We installed 34/41 heat pumps
(ca. 492 kWth)
• District heating (1743 kW) with a
primary energy factor of zero
through the nearby gas and steam
combined cycle power plant Niehl III

6. BATTERY STORAGE
• We installed 7/10 battery cottages
• Which include 12/16 battery
storages (210 kW, 655 kWh)

7. INVOLVED PARTNERS
• GreenCom Networks takes over the control of the
Siedlungsmanagement software end the energy
managers
• Hermes controls and programs on the PLC level
• System manufacturers for battery storages and heat
pumps
• HEAT PUMPS: VIESSMANN
• BATTERY: HOPPECKE
 RheinEnergie takes over the project management, sets
the requirements and controls the implementation

8. SIEDLUNGSMANAGEMENT
Cloud-based energy management system
Forecasts based on self-learning algorithms
•Forsecasts are amde on the basis of weather-,
consumption- and system data
•Forsecasting quality is constantly improving via self-
learning algorithms

9. CLOUD-BASED ENERGY MANAGEMENT
SYSTEM FOR DISTRICTS
Schematic diagram for Stegerwaldsiedlung

10. CLOUD-BASED ENERGY MANAGEMENT
SYSTEM FOR DISTRICTS
Schematic diagram of what is possible in the near future

11. SIEDLUNGSMANAGEMENT
Optimization
• Based on the forecast the energy production and
consumption can be optimized
• Working fully automated and continuously for the
whole district
• Different goals can be set
• MINIMIZE USAGE OF DISTRICT HEATING
• MINIMIZE GRID SUPPLY
• MINIMIZE FEED-IN INTO GRID
 The optimization in the project is carried out with
an ecological focus

12. SIEDLUNGSMANAGEMENT
Connection to the VPP of RheinEnergie
• Based on the optimization, the possible flexibility can
be calculated
• Available flexibility send to RE VPP
• Based on the trading results, schedules are send to the
Energy Managers in each building
 Schedules for all buildings are calculated for the next
36 hours every 15 min

16. KPIS TO ASSESS THE IMPACT
1. Mesaured energy supplied by local production unit
2. Share of total renewable energy supplied of total
local demand
3. Share of external renewable energy supplied of
total local demand
4. Reduced CO2 emissions due to reduced energy
demand

17. KPIS TO ASSESS THE IMPACT
Heat:
•Heat meter heat pumps
•HP temperature (outtake and intake)
•Heat meter district heating
•DH temperature
•Heat meter heating circuit
•Heating circuit temperature
•Heat meter hot tap water
•HTW temperature
Electricity:
•e-meter battery total
e-meter battery delivery/consumption
•e-meter heat pumps
•e-meter heat blade
•Measuring clamp grid total
measuring clamp delivery/consumption
•Measuring clamp tennants
•Measuring clamp PV production
•Low voltage distribution total
-delivery/consumption
Measuring points

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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant
agreement no 646456. The sole responsibility for the content of this presentation lies with the GrowSmarter project and in no way
reflects the views of the European Union.
RheinEnergie AG
Parkgürtel 24
D-50823 Köln
Corporate Development
c.remacly@rheinenergie.com
Christian Remacly

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