expert day –‘collective · mercedes-benz - daimler 2,5 kwh –lfp li-ion no prices available 25...
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EXPERT DAY – ‘COLLECTIVE PV-INSTALLATIONS:
A SOLUTION FOR INCREASED SELF CONSUMPTION’
VAKGROEP < ELEKTRISCHE ENERGIE, SYSTEMEN EN AUTOMATISERING >
ONDERZOEKSGROEP < EELAB LEMCKO >
CONTACT :
Prof. Dr. ir. Jan Desmet
EELAB/Lemcko – Universiteit Gent
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MAIN RESEARCH:IMPACT AND INTERACTION OF RES AND NLL ON LV & MV NETWORKS
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OUTLINE
Introduction
Optimisation using storage
Basic approach
Battery Storage
Flywheel Storage
PVT-panels
How about PVT-technology
Combination PVT and PV
Economical aspects of storage
Conclusions
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INTRODUCTION
5
Zonnepanelen en windmolens
kunnen voortaan overal
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Increased implementation
of DER
Yield of sun and wind
unpredictable
Energy storage is a solution to the
unpredictability of renewable energy production
Insta
lled c
apacity [
MW
]
INTRODUCTION
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Simulation week by modelling
Averaged data
Consumption profile real household
Yield profile Lemcko sun test field
Matching of profiles:
Lente Zomer HerfstWinter Winter
INTRODUCTION
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Storage possibilities:• Nowadays most of all battery systems
• Maybe other technologies are relevant to implement for
optimising system reliability
• Storage is needed for further implementation of
decentralised energy production.
Case Germany:
• March 2015 – 111 000 kWh equivalent to
12.200 households with an averaged
yearly consumption of 2.5MWh
1000W
2000W
3000W
7000W
6000W
5000W
4000W
INTRODUCTION
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Introduction
Optimisation using storage
Basic approach
Battery Storage
Flywheel Storage
PVT-panels
How about PVT-technology
Combination PVT and PV
Economical aspects of storage
Conclusions
OUTLINE
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OPTIMISATION USING STORAGE
Production Green – Consumption Dashed
Consumption Light Blue – Self provided Dashed
Need for balancing
Self consumption Generated energy by PV
installation, instantaneous
consumed – Decreases by
increasing installed PV peak
power
Self providing Demand power instantaneous
provided by the PV installation
– Increases with increasing
installed PV peak power
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Consumption and yield of PV installation of a household
OPTIMISATION USING STORAGE
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Dimensioning – Battery StoragePrinciple
AC OUTAC IN
Battery bank
Invertor
PV
Disconnenction
relaisAutomatic
Disconnenction system
OPTIMISATION USING STORAGE
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OPTIMISATION USING STORAGE
Optimisation – Using storage
Self consumption - Zc
Self providing - Zp
0 kWh/MWh
0.5 kWh/MWh
1 kWh/MWh
1,5 kWh/MWh
2 kWh/MWh3 kWh/MWh4 kWh/MWh5 kWh/MWh
Ratio S
elf-c
onsum
ption/S
elf-p
rovid
ing
[pu]
Ratio Year-yield/Year-consumption [pu]
Over dimensioningUnder-
dimensioning
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OPTIMISATION USING STORAGE
Flywheel storage– “ With their high cycle life and ramping capabilities, flywheels can be used for
regulation. Batteries may be better for supplying load following, where cycle life requirements and the ratio of peak power to stored energy are lower”.
• Not an new technology – but optimized over years…
– Around 1970’s where applications for backup-power and electric vehicles proposed
– Around 1980’s magnetic bearing were introduced
– In essence an mechanical battery, that stores the energy in kinetic form.
– The energy is stored in a rotating mass and the amount of stored energy is a function of the moment of inertia and the angular velocity
– 𝐸 =1
2I * ω² [J]
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Dimensioning flywheels:
Self consumption and self providing analogue as battery systems
Better under peak load conditions due to BMS of batteries
Major drawback: self discharge in terms of hours
OPTIMISATION USING STORAGE
• Case:• Consumption = 4135 kWh
• PV generation = 5030 kWh
• Results of a single day (5 september)– 13,5 h standstill
– Active charging/discharing : 5.5 h
– 5 h idling
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Combination flywheel and batteryEvening peak can be provided by FESS
Since: High power in short terms
No influence on live expectation
Basic load used by batteries
Live expectation of batteries will increase
*Ex. The pilot plant in County Offaly
was built for Schwungrad EnergieTime [10-minute based]P
rodu
ction/c
onsum
ption
[kW
h P
U]
OPTIMISATION USING STORAGE
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Introduction
Optimisation using storage
Basic approach
Battery Storage
Flywheel Storage
PVT-panels
How about PVT-technology
Combination PVT and PV
Economical aspects of storage
Conclusions
OUTLINE
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PVT-panels:Specifications 500 kWht/m²
125 kWhe/m²
Great differences in yield as a function of brand and type.
As a rule: Thermal yield is four times higher than the electrical yield
Only feasible in cases of high thermal energy consumption (tap water)
Also to combine with standard PV panels to improve electric yield.
Demand profile (SHW and SLP) Standard PVT – Production
0 1 2 3 4 5 6
x 104
0
1
2
3
4
5
6
7
8
9x 10
-5
Time [ 10-minute based]
Tota
l user
consum
ption [
kW
h P
U]
0 1 2 3 4 5 6
x 104
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8x 10
-4
Time [10-minute based]
Yie
ld [
kW
h P
U]
Total Power
Solar Power
HOW ABOUT PVT TECHNOLOGY?
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PVT-panels:
Optimized thermal production – Case 3 persons
2.06 2.07 2.08 2.09 2.1 2.11 2.12 2.13 2.14 2.15 2.16
x 104
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0.4
0.45
0.5
Therm
al yie
ld /
consum
ption p
rofile
[kW
h P
U]
Time [10-minute based]
Thermal Optimalisation - Thermal Part
Sanitair hot water
Thermal Power In
Thermal Power Used
2.06 2.07 2.08 2.09 2.1 2.11 2.12 2.13 2.14 2.15 2.16
x 104
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0.4
0.45
0.5
Therm
al yie
ld /
consum
ption p
rofile
[kW
h P
U]
Time [10-minute based]
Thermal Optimalisation - Thermal Part
Sanitair hot water
Thermal Power In
Thermal Power Used
0 0.7 1.4 2.1 2.8 3.5 4.2 4.9 5.6 6.3 70
10
20
30
40
50
60
70
80
90
100
Variation PVT-panels [m²]
Zc,
Zv [
%]
Optimization Sanitair Hot Water Production with solar boiler
Over dimensioningUnder dimensioning
Incre
ased b
oile
r volu
me
Thermal Optimization:
4,2m² surface needed• Zc = 79,91 % (20 % thermal energy lost in Summer/Spring)
• Zv = 56,97 %
HOW ABOUT PVT TECHNOLOGY?
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Over dimensioningUnder dimensioning
Thermal Optimization:
4,2m² as needed surface for 3 persons• Zc = 97,87 %
• Zv = 15,48 %
0 0.7 1.4 2.1 2.8 3.5 4.2 4.9 5.6 6.3 70
10
20
30
40
50
60
70
80
90
100
Variation PVT-panels [m²]
Zc,
Zv [
%]
Optimalisation Sanitair Hot Water Production - Electrical Part
2.22 2.24 2.26 2.28 2.3 2.32 2.34 2.36
x 104
0
0.01
0.02
0.03
0.04
0.05
0.06
0.07
0.08
0.09
Time [10-minute based]
Ele
ctr
ical yie
ld /
Consum
ption p
rofile
[kW
h P
U]
Thermal Optimalisation - Electrical part
15.8% production versus
100% consumption
HOW ABOUT PVT TECHNOLOGY?PVT-panels:
Optimized electric production – Case 3 persons
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COMBINATION OF PV & PVT-PANELS From the idea of optimized use of PV installation (electrical):
Highly pending op consumption profile:
Profile 1 Profile 2
0 1 2 3 4 5 6
x 104
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
Time [10-minute based]
Ele
ctr
ical yie
ld [
kW
h 1
0 m
in]
0 1 2 3 4 5 6
x 104
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
Time [10-minute based]
User
consum
ption [
kW
h 1
0 m
in]
Yield/Consumption
Electrical ratio
Zc without
battery0.5 kWh/MWh 1 kWh/MWh 5 kWh/MWh
Profile 1 21,72 % 39,84 % 50,62 % 71, 87 %
Profile 2 36,82 % 53,73 % 62,07 % 71,86%
Optimization by
DSM is needed to
increase efficiency
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Introduction
Optimisation using storage
Basic approach
Battery Storage
Flywheel Storage
PVT-panels
How about PVT-technology
Combination PVT and PV
Economic aspects of storage
Conclusions
OUTLINE
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Evolution of averaged kWh-
price of electricity in €c
Da = low load– 600 kWh one tarif
Dc – Averaged load– 1600 kWh/day and 1900 kWh/night
De – High load– 3600 kWh/day, 3900kWh/night and 12500kWh excl/night
Evolution of electricity
unit price in € per kWh
2015 Q1 - 2016
ECONOMIC ASPECTS
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Price of batteriies [Euro/kWh]
2013
2020
2030
3000 kWh
2000 kWh2000 kWh
0 With PV-battery system of ± 1kWh/MWh Zc 60%
Cost with back counting energy meter:
2014: 0 €
2015: 222,5 € (0 + ((89x5)/2)
2016: 565 € (0 + (113 x 5 ))
Cost with bidirectional energy meter:
2000 kWh x 0,27 €c = 540 €
2000 kWh x injection tarif = 0 €
Total = 540 €
Nowadays gain too small with respect
to the investment cost of the system
Optimization needed
GSC tot taken into account
ECONOMIC ASPECTS
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MyReserve battery – Solarwatt Li-ion battery 4.4 kWh, extendable to 11 kWh 5499 euro inclusive DC-DC invertor (1250 euro/kWh) Efficiency: 99.2% - total efficiency: 93%
Powerwall - Tesla Li-ion battery 6.4 kWh 2670 euro only battery!! (400 euro/kWh) Total price 5900 a 7700 euro (920 to 1200 euro/kWh) Total efficiency: 93%
Orison 2,2 kWh Tower 1762,31 euro complete system (800 euro/kWh)
Mercedes-Benz - Daimler 2,5 kWh – LFP Li-ion No prices available
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BMW Second live battery (22kWh) from the i3
Price unknown
xStorage – Nissan 4000 euro (Second live battery cells van Nissan Leaf )
total price
4,2 kWh (950 euro/kWh)
Panasonic 8 kWh
7000 euro total Price (900 euro/kWh)
…
ECONOMIC ASPECTS -OVERVIEW
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CONCLUSIONS
From household point of view: Optimal PV installation kWp=MWh consumption
Only 30% self consumption
Storage can improve self provision noticeable
From apartment point of view: Optimal PV installation kWp<>MWh total consumption
The higher the load spectrum, the better the self consumption
Less storage for same ride through capability
BIPV increases yield spread
Financial aspects: For households quite straight on: PB less than 7y
For apartments difficult to determinate cost/benefit
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CONTACT:
Prof. Dr. ir. Jan Desmet [email protected]
Ghent University – Campus Kortrijk [email protected]
Research Group EELAB/Lemcko +32 56 24 12 35
Graaf Karel de Goedelaan 34
8500 Kortrijk
Belgium