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  • Emerging Performance Issues of Photovoltaic Battery Systems

    Johannes Weniger, Tjarko Tjaden, Joseph Bergner, Volker Quaschning

    HTW Berlin - University of Applied Sciences, Germany

    32nd European PV Solar Energy Conference and Exhibition

    23rd June 2016, Munich, Germany

  • 2

    Self-consumption markets in the EU

    Sources: Eurostat, RES Legal, SolarPower Europe

    0

    5

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    35

    0 5 10 15 20 25 30 35

    feed-i

    n t

    ari

    ff (

    FIT

    ) in

    ct/

    kW

    h

    retail eletricity price (REP) in ct/kWh

    0

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    10

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    0 5 10 15 20 25 30 35

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    n t

    ari

    ff (

    FIT

    ) in

    ct/

    kW

    h

    retail eletricity price (REP) in ct/kWh

  • 3

    BA

    BGDE

    FR

    GRGB

    HR

    LI

    LT

    LU

    MK

    MTME

    AT

    CH

    RS

    SK

    SI

    TR

    UA

    HU

    0

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    0 5 10 15 20 25 30 35

    feed-i

    n t

    ari

    ff (

    FIT

    ) in

    ct/

    kW

    h

    retail eletricity price (REP) in ct/kWh

    Self-consumption markets in the EU

    Sources: Eurostat, RES Legal, SolarPower Europe

    BA

    BGDE

    FR

    GRGB

    HR

    LI

    LT

    LU

    MK

    MTME

    AT

    CH

    RS

    SK

    SI

    TR

    UA

    HU

    DKPT

    BE ITESIE

    0

    5

    10

    15

    20

    25

    30

    35

    0 5 10 15 20 25 30 35

    feed-i

    n t

    ari

    ff (

    FIT

    ) in

    ct/

    kW

    h

    retail eletricity price (REP) in ct/kWh

    BA

    BGDE

    FR

    GRGB

    HR

    LI

    LT

    LU

    MK

    MTME

    AT

    CH

    RS

    SK

    SI

    TR

    UA

    HU

    DKPT

    BE ITESIE

    0

    5

    10

    15

    20

    25

    30

    35

    0 5 10 15 20 25 30 35

    feed-i

    n t

    ari

    ff (

    FIT

    ) in

    ct/

    kW

    h

    retail eletricity price (REP) in ct/kWh

    Countries with feed-in tariff Countries without feed-in tariff

  • 4

    AC-coupled inverters

    DC-coupled systems with batteries

    DC-coupled inverters

    AC/DC-coupled systems with batteries Generator-coupled systems with batteries

    Source: manufacturer

    Batteries

    Overview on products available on the market

    AC-coupled systems with batteries

  • 5

    AC-coupled systems with batteries

    AC-coupled inverters

    DC-coupled systems with batteries

    DC-coupled inverters

    AC/DC-coupled systems with batteries Generator-coupled systems with batteries

    Source: manufacturer

    fully integrated

    systemswithout

    PV inverter

    withoutPV inverter and battery

    Batteries

    withoutbattery

    Overview on products available on the market

  • 6

    System topologies of PV-battery systems

  • 7

    System topologies of PV-battery systems

  • 8

    0-99% 5-100 W 1-60 s

    Standby consumption of whole systems

    Overall responsetime

    Typ

    ical

    ran

    ge

    Efficiency of different system components

    -1.0

    -0.5

    0.0

    0.5

    1.0

    1.5

    2.0

    2.5

    0 2 4 6 8 10 12 14

    Pow

    er

    in k

    W

    Time in s

    Electrical load

    discharge power

    Classification of system-related loss mechanisms

    Conversion losses

    Efficiency of the powerelectronics

    Battery round tripefficiency

    Standby losses

    Battery ManagementSystem (BMS)

    Power electronics

    Auxiliaries (EMS, meter)

    Control losses

    Transient response

    Measuring accuracy

    84%

    86%

    88%

    90%

    92%

    94%

    96%

    98%

    100%

    0% 20% 40% 60% 80% 100%

    Effic

    iency

    Power / nominal power

    Battery inverter

    Battery roundtrip

    100

    150

    200

    250

    300

    0 2 4 6 8 10 12 14

    Tota

    l lo

    ad in W

    Time in min

    Household

    Household + battery system

  • 9

    Possible performance evaluation procedures

    Field tests Black-box tests White-box tests Simulation tests

    Characteristics

    Long-term field tests by monitoring the real operational behavior over a period of at least one year

    Short-term application tests in a laboratory environment with reference profiles or at defined operating points

    Detailed characterization tests under laboratory conditions with the aim of characterizing the efficiency of each component or path of energy flow

    Model-based simulation tests parametrized with measurements from white-box tests and based on measured load and PV output profiles

    Results

    Average operating efficiency and load distributions of distinct paths of energy flow

    Use case-specific performance indicator obtained from measurements

    Measurements of efficiency curves, standby consumption, response behavior, etc.

    Use case-specific performance indicator obtained from simulations

    Research activities in Germany and Austria

    DC

    DC

    DC

    AC

    DC

    AC

    DC

    DC

  • 10

    Possible performance evaluation procedures

    Field tests Black-box tests White-box tests Simulation tests

    Characteristics

    Long-term field tests by monitoring the real operational behavior over a period of at least one year

    Short-term application tests in a laboratory environment with reference profiles or at defined operating points

    Detailed characterization tests under laboratory conditions with the aim of characterizing the efficiency of each component or path of energy flow

    Model-based simulation tests parametrized with measurements from white-box tests and based on measured load and PV output profiles

    Results

    Average operating efficiency and load distributions of distinct paths of energy flow

    Use case-specific performance indicator obtained from measurements

    Measurements of efficiency curves, standby consumption, response behavior, etc.

    Use case-specific performance indicator obtained from simulations

    Advantages

    Real operational and long-term performance can be observed

    Short time period required and good comparability of the test results

    Detailed characterization of the components and overall system

    Fast test procedure and good reproducibility of the test results

    Disadvantages

    Long time period required Results mostly available

    for outdated products Identical test conditions

    are hard to ensure Limited comparability of

    the test results from different systems

    Measurements are already affected by the predefined profiles

    Test results are only applicable to the specific use case

    General validity of the reference profiles has to be demonstrated

    No single performance indicator for the end-customer can be extracted from the test results

    Expensive measurement equipment is required

    Poor comparability between the results of different topologies

    Detailed characterization measurements are required

    Accuracy of the test results depends on the level of detail of the simulation model

    Not all loss mechanisms can be modelled exactly

    DC

    DC

    DC

    AC

    DC

    AC

    DC

    DC

  • 11

    Proposed model-based simulation test

    Exemplary system components

    Auxiliaries

    PV invert

    er

    Batt

    ery

    invert

    er

    Batt

    ery

    PV generator

  • 12

    Proposed model-based simulation test

    Exemplary system components

    SMA Sunny Boy 5000 TL

    SMA Sunny Island 3.0M

    Akasol neeoQube

    SMA Sunny Home Manager

    SMA Sunny Remote Control

    SMA Energy Meter

    Auxiliaries

    PV invert

    er

    Batt

    ery

    invert

    er

    Batt

    ery

    PV generator

  • 13

    Proposed model-based simulation test

    Exemplary system components

    SMA Sunny Boy 5000 TL

    SMA Sunny Island 3.0M

    Akasol neeoQube

    SMA Sunny Home Manager

    SMA Sunny Remote Control

    SMA Energy Meter

    Test procedure

    Input data (1 s): PV generators output power (5 kWp) and electrical load (5 MWh/a)

    Time series simulations over one year for the real system in comparison to an ideal, lossless reference system

    Energetic and economic assessment as simulation results

    Grid supply Grid feed-in

    Auxiliaries

    PV invert

    er

    Batt

    ery

    invert

    er

    Batt

    ery

    PV generator

  • 14

    Annual energy balance

    with realPV-battery system

    with idealPV-battery system

    with idealPV system

    Residential building

    = 100%

    = 100%

    PV-generator: 5 kWp, load demand: 5 MWh/a, ideal: no conversion, standby and control losses

  • 15

    Annual costs and revenues

    with realPV-battery system

    with idealPV-battery system

    with idealPV system

    Residential building

    = 100%

    = 100%

    PV-generator: 5 kWp, load demand: 5 MWh/a, feed-in tariff: 12 ct/kWh, retail electricity price: 28 ct/kWh

  • 16

    Annual costs and revenues

    with realPV-battery system

    with idealPV-battery system

    with idealPV system

    Residential building

    = 100%

    = 100%

    PV-generator: 5 kWp, load demand: 5 MWh/a, feed-in tariff: 12 ct/kWh, retail electricity price: 28 ct/kWh

  • 17

    Definition of the Storage Performance Index (SPI)

    PV-generator: 5 kWp, load demand: 5 MWh/a, feed-in tariff: 12 ct/kWh, retail electricity price: 28 ct/kWh

  • 18

    Definition of the Storage Performance Index (SPI)

    120 /a = 51%235 /a = 100%

    Storage Performance Index

    PV-generator: 5 kWp, load demand: 5 MWh/a, feed-in tariff: 12 ct/kWh, retail electricity price: 28 ct/kWh

  • 19

    SPI: Realized grid electricity cost savings

    PV-generator: 5 kWp, load demand: 5 MWh/a, feed-in tariff: 12 ct/kWh, retail electricity price: 28 ct/kWh

  • 20

    SPI: Realized grid electricity cost savings

    PV-generator: 5 kWp, load demand: 5 MWh/a, feed-in tariff: 12 ct/kWh, retail electricity price: 28 ct/kWh

  • 21

    Contribution of different loss mechanisms to the SPI

    PV-generator: 5 kWp, load demand: 5 MWh/a, feed-in tariff: 12 ct/kWh, retail electricity price: 28 ct/kWh

  • 22

    Variation of the Storage Performance Index

    PV-generator: 5 kWp, load demand: 5 MWh/a

  • 23

    Performance-related specifications are rarely stated in the data sheets of PV-battery systems.

    Standardized performance tests are required to improve the comparability of the performance between different products, and thereby the transparency from the end customer`s point of view.

    A variety of performance test procedures is currently under discussion.

    Adequate system performance tests should assess the conversion, standby and control-related losses.

    The performance of PV-battery systems of different sizes and system topologies can be assessed with the proposed Storage Performance Index (SPI).

    The developed simulation test allows the optimization of the system layout, system sizing and control algorithmsand will be published as open source model in the future.

    pvspeicher.htw-berlin.de

    Conclusion

    http://pvspeicher.htw-berlin.de/