Simulation in support of Home Energy System design: an

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Simulation in support of Home Energy
System design: an experience
A. Benigni, C. Molitor, A. Helmedag, D. Cali, P. Jahangiri, K. Chen,
D. Müller, A. Monti
Outline
Introduction
Goals and Design Tools
Tools Description
MODPROD 2012 | 2
ACS | Institute for Automation of Complex Power Systems
Introduction: building role in Germany
n  Buildings account for 40% of total energy consumption
n  Grow of the building sector is expected
n  EU 20--‐20--‐20 targets
l  20% less greenhouse gas emission
l  20% renewable energy sources
l  20% energy efficiency
n  Significant number of current buildings older than 50 years
l  Energy efficiency was not an issue in these times
l  High energy consumption of buildings built in the years after World War 2
(green line)
n  Old buildings will still be used (Refurbishment of 2% per year)
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ACS | Institute for Automation of Complex Power Systems
Introduction: building role in Germany
n  Construction rate of new buildings 0.1%
n  New buildings have high energy efficiency
l  High insulation standards
l  Integration of Renewable Energy Sources
–  PV
–  Geothermal
–  Heat Pumps – CHPs
l  Passive House and Energy+ Houses possible
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Introduction: goals & tools
n  Design of an Energy Service Interface
n  Analysis of Heat Pump Performance
Non real-time energy platform
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ACS | Institute for Automation of Complex Power Systems
Real-time energy platform
Real-time dynamic PHIL platform
Tool: Non real-time energy platform
n  Definition of the ESI algorithms
n  Definition of the information needed
n  domestic equipment (e.g. heat pump and PV system),
n  environment (e.g. rooms and outside temperature)
n  external source (e.g. price of electricity, meteor
forecast)
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Tool: Real-time energy platform
n  Verification of ESI algorithms real-time execution
n  Further analysis of the communication module
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ACS | Institute for Automation of Complex Power Systems
Tool: Real-time dynamic PHIL platform
n  Analysis of Heat Pump Performance
n  Tuning of ESI algorithms
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ACS | Institute for Automation of Complex Power Systems
Energy platforms ( RT and non-RT )
n  Energy model of the Electrical Components
n  Simplified model of the thermal and hydraulic
components
n  Dymola
n  Standard PC
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Real Time Simulation Lab
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ACS | Institute for Automation of Complex Power Systems
Real Time Simulation Lab
RTDS
n  State of the Art for power system real-time simulation
n  Test of communication standard
n  HIL test: through dedicated connections
n  PHIL test: through Grid Emulator
n  Stochastic analysis
DSP Cluster
n  Simulation of distribuited system
n  Wind Farms
n  PV systems
n  Hardware In the Loop
n  Power Hardware In the Loop
PC Cluster
n  Real time and non real time simulation of multi-physic system
n  Modelica support
n  Stochastic analysis.
n  Support for standard scientific tools like Matlab.
n  Easy to replicate, expand and upgrade
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ACS | Institute for Automation of Complex Power Systems
Real Time Simulation Platform
Windows XP
Dymola
Communication
Interface
Thermal,
Hydraulic
LabView
and Mechanical
Interfaces
Infiniband
SimulationX
Master
Electrical
Communication,
I/O Interface
RT
Synchronization
Linux RT (Debian+RTAI)
Grid simulation
(RTDS)
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Analog
and digital
Electrical Interface: FlePS
n  Four phase output
n  Power rating: 25kVA
n  Switching frequency: 40kHz
DISTRIBUTION GRID
n  Voltage Mode
n  Current Mode
ISOLATING
TRANSFORMER
FOUR-LEG INVERTER
DEVICE UNDER TEST
(DUT)
LCL/LC FILTER
CURRENT/VOLTAGE
MEASUREMENTS
CURRENT
&VOLTAGE
MEASUREMENTS
CONTROL
ALGORITHM
REAL TIME SIMULATOR
VOLTAGE/CURRENT
REFERENCES
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DC LINK
ACTIVE FRONT END
(AFE)
PWM
SIGNALS
POWER INTERFACE
Thermal Interface
n  Accuracy = ±0.5 °C
n  Temperature range = -15 °C to 30 °C
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Hydraulic Interface
n  Four separate hydraulic circuits
n  Connect to the heating/cooling
system of the building
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Interfaces
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ACS | Institute for Automation of Complex Power Systems
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