the multi-tw scale future for pv - university of chicago multi-tw future... · • 1905 - albert...
TRANSCRIPT
NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC.
University of Chicago Physics of Sustainable Energy Short Course Greg Wilson Director, Center for Materials Applications & Performance Co-Director, National Center for Photovoltaics National Renewable Energy Laboratory Golden, Colorado - USA 17 June, 2016
The Multi-TW Scale Future for PV
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Overview
1. Brief introduction of NREL, the MCST Directorate and NREL’s PV Program.
2. PV101 3. Energy and climate change. 4. Cell efficiency and module cost - 39 years of
progress. 5. Enabling PV as a global carbon emissions
reduction tool. 6. Final comments.
2
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National Renewable Energy Laboratory
• Physical Assets Owned by the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy
• Operated by the Alliance for Sustainable Energy under Contract to DOE
• 1700 permanent staff and world-‐class faciliGes • More than 350 acGve partnerships annually
• Campus is a living model of sustainable energy
Dedicated Solely to Advancing Energy Efficiency and Clean Energy Research toward Enabling Deployment onto a Modernized Grid
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NREL’s Program Portfolio
Efficient Energy Use • Buildings Technologies • Vehicle Technologies
Delivery & Storage • Battery and Thermal
Storage • Hydrogen • Smart Grid and Grid
Integration
Renewable Resources • Solar • Wind and Water • Biomass • Geothermal
Foundational Science
Strategic Analysis
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NREL’s PV Program: Originating as SERI in 1977, today a key component of the U.S. DOE SunShot Initiative.
5
6¢/kWh
SunShot 2020 Goal
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• 20x-100x • 500x • Cu(In,Ga)Se2 ~ 1-2 um • c-Si ~ 180 um
Multiple PV Technologies
• Ground mount with 2-axis tracking.
• Concentration of up to 1000x. • Utilizes the most advanced III-V
multi-junction cells. • Highest efficiency terrestrial PV
solution - ~35%.
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• CdTe and CIGS are most common today. Future could be Perovskites.
• CIGS can be very light so focus is rooftop and BIPV applications.
• CdTe panels today are widely used in ground mount applications.
• Many new inorganic, organic and hybrid PV absorbers are possible.
• Silicon PV controls >90% of terrestrial PV market.
• Consists of 2 forms, multi-crystalline and single crystal.
• Highest efficiency rooftop PV technology is cSi - ~22.5%.
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PV Research at NREL
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NREL’s PV Research Portfolio
Measurements & Characteriza7on
Silicon cSi 1J & Tandems
III-‐V MJ & 1J
Module Reliability & Systems Engineering
PV Technologies PV Cross-‐CuDng R&D
Thin Film PV CIGS / CdTe / Novel
Perovskites & OPV
Extensive Capabilities and PV Experience Under One Roof
PV Conversion Technology R&D Ü III-V Multijunction Ü Crystalline Si Ü cSi Tandem Ü CdTe Ü CIGS Ü Organic PV Ü III-V 1J via HVPE Ü Novel PV Absorbers Ü Perovskites
Demonstrate > 50% 4J device
Demonstrate cSi based 2J cells > 30%
Materials questions, enable >16% production module
Materials questions, enable >16% production module
Build on BES prog., demonstrate market viability
Develop low-cost, 1-sun III-V cells
Build on EFRC, identify new absorbers
7"
Outdoor performance!
Power and temperature !During our test, the GaAs module produced more power when its temperature was higher
This relationship includes temperature and spectral effects
Module Performance
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Answer industrial processing and stability questions
Develop low cost, industrial n-CZ cells >23%
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Overview
1. Brief introduction of NREL, the MCST Directorate and NREL’s PV Program.
2. PV101 3. Energy and climate change. 4. Cell efficiency and module cost - 39 years of
progress. 5. Enabling PV as a global carbon emissions
reduction tool. 6. Final comments.
8
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A Brief History of Photovoltaics • 1839 - French scientist Edmond Becquerel discovers the photovoltaic
effect while experimenting with an electrolytic cell made up of two metal electrodes placed in an electricity-conducting solution—electricity generation increased when exposed to light.
• 1883 - Charles Fritts, an American inventor, described the first solar cells made from selenium wafers.
• 1905 - Albert Einstein published his paper on the photoelectric effect (along with a paper on his theory of relativity).
• 1921 - Albert Einstein wins the Nobel Prize for his theories (1904 research and technical paper) explaining the photoelectric effect.
• 1954 - Photovoltaic technology is born in the United States when Daryl Chapin, Calvin Fuller, and Gerald Pearson develop the silicon photovoltaic (PV) cell at Bell Labs. Bell Telephone Laboratories produced a silicon solar cell with 4% efficiency and later achieved 11% efficiency.
• 1958 - The Vanguard I space satellite used a small (less than one watt) array to power its radios. Later that year, Explorer III, Vanguard II, and Sputnik-3 were launched with PV-powered systems on board.
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Physics of a PV Cell
Source: R. Swanson, SunPower
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Source: Philips Lumileds
Phosphor
LED vs. PV Cell LED • Applying voltage across p-n junction excites
electrons that then produce photons (light) as they fall back to their ground state.
• The wavelength of the light produced is directly related to the bandgap of the semiconductor that is used.
PV Cell • Light (photons) passing through the
absorber knocks electrons from their atomic orbits creating electron-hole pairs.
• Electrons are collected by contacts on the emitter and holes (absence of electrons) are collected by contacts on the absorber.
• The wavelength of light absorbed to produce current is directly related to the bandgap of the semiconductor that is used.
Source: R. Swanson, SunPower
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Energy and Light Candle Light Temperature: ~ 1850K Efficiency: ~ 0.3 lm/W
Incandescent Lamp Light Temperature: ~ 3000K Efficiency: 10 - 15 lm/W
Compact Fluorescent Lamp Light Temperature: ~ 3000K Efficiency: 60 - 75 lm/W
LED Lamp (Blue LED + Phosphors) Light Temperature: ~ 3000K Efficiency: 100 - 130 lm/W
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Bandgap?? • The bandgap of a semiconductor is
the energy required for an electron to “jump” from its lowest energy state (valence band) to its highest energy state (conduction band).
• For metals, the conduction and valence bands overlap so they conduct electricity.
• For insulators, the bandgap is very large so no electricity can flow.
• For semiconductors, the bandgap is smaller and can be manipulated by the addition of impurities called “dopants”. This is the reason a semiconductor can act like a conductor and an insulator.
Source: “Handbook of Photovoltaic Science and Engineering”, edited by Antonio Luque and Steven Hegedus (2003).
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PV Cell Nomenclature (-)
(+)
Ele ctron Hole
Top Electrical Contact n-Type Semiconductor (Exce ss Electrons) p-Type Semiconductor (Exce ss Hole s)
Back Ele ctrical Contact Subs tra te
Top Electrical Contact Emitter Region Absorber Region
Back Electrical Contact Substrate (thin film PV cell)
Absorber – Can be made from any number of semiconductors and is commonly p-type (collects positive charges). Emitter – Usually formed by doping the semiconductor used as the absorber in order to produce the opposite type, in this example n-type (collects negative charges). Substrate – Not used in the case of wafer silicon. For thin film PV cells the substrate is usually glass or metal.
Efficiency of a PV cell depends on many things but mostly the quality of the semiconductor material, the quality of the surface “passivation” and the quality of the electrical contacts.
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I-V Curve and PV Cell Efficiency Cell Efficiency = η η = POUT/PIN
PIN is the power of the incoming light (usually 1000 W/m2) POUT is the product of the max power voltage and current. Fill Factor is defined as the ratio of the cell’s max power, IMPxVMP and ISCxVOC.
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N-type
Load
Reflection and optical transmission loss through the glass and/or encapsulant
Factors Affecting CURRENT
Solar cell efficiency is determined by inherent losses (i.e., solar photons with energies below the bandgap of the host material) and those primarily due to optical or electrical losses (i.e., reflectance, series resistance, etc.). Jsc, Voc, and FF are intimately and fundamentally tied. It is difficult to affect one without changing the others.
( )2/1000 mW
VJFF ocsc ⋅=ηh = solar cell efficiency Jsc = short-‐circuit current Voc = open-‐circuit voltage FF = fill factor
Electrical resistance and transmission loss of the transparent conducting materials and contacts
Charge carrier recombination (related to carrier mobility, lifetime, defect density)
Back contact and bulk series resistance
Factors Affecting VOLTAGE
Bulk and surface carrier recombination
Absorber and emitter semiconductor choice, doping, and crystallinity
Carrier Recombination in the depletion region
Factors Affecting FILL FACTOR
Series and shunt resistance
P-type
1 2
3 7 5
4 6 8
1
2
3
4
5
6
7
8
PV Cell Efficiency
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Definitions: Energy & Power
Energy Basic unit is Joule 3.6e6 J = 1 kW-hr
Power Basic unit is Watt 1 W = J/s 1 W = V*A
∴Power is energy transferred per unit time.
Solar Constant = 1,366 W/m2
Average Earth Insolation = 1,000 W/m2 (sea level, normal incidence)
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PV Industry Growth – By Technology
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Overview
1. Brief introduction of NREL, the MCST Directorate and NREL’s PV Program.
2. PV101 3. Energy and climate change. 4. Cell efficiency and module cost - 39 years of
progress. 5. Enabling PV as a global carbon emissions
reduction tool. 6. Final comments.
19
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Earth Human Population = 7.3 B
Annual Electricity Demand = 23,300 TWh Annual CO2 Emissions = 32.2 Gt
Fraction of GHG Emissions from Energy Use ≈ 68%
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Motivation is Clear – Energy Needs vs. CO2
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• Earth uses ~6 TW of electricity, ~2/3 from fossil fuels.
• [CO2] ~402 ppm and rising. Source: 2014 U.S. National Climate Assessment
Nature - 31 March, 2016
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Motivation is Clear – Energy Needs vs. CO2
22
• Earth uses ~6 TW of electricity, ~2/3 from fossil fuels.
• [CO2] ~402 ppm and rising. Source: 2014 U.S. National Climate Assessment
Nature - 31 March, 2016
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Latest Earth System Model Results
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Source: Tokarska et al., Nature Clim Change, 23MAY16
• Predicted global average surface temperature has gone up, not down, with increasingly sophisticated earth system models.
• Warming and CO2 emissions are in fact roughly linear.
• Burning all of earth’s fossil fuel resources, projected by ~2200 given current trends, would result in global average warming of 6.4–9.5° C, mean Arctic warming of 14.7–19.5° C.
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• Must hold overall energy consumption essentially flat for the next 25 years through major gains in energy efficiency.
• Must begin a major shift to zero carbon generation immediately, with measurable reductions by 2020.
450ppm Goal: Dramatic Change Needed
Source: 2015 IEA World Energy Outlook
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© Fraunhofer ISE
25
2 – 6 per year
COAL
Uranium
900 Total reserve
90-300 Total
Petroleum
310 Total
Natural Gas
330 Total
WIND 60-120 per year
OTEC
Biomass
3 -11 per year
HYDRO 3 – 4 per year
TIDES
SOLAR
23,000 per year
Geothermal 0.3 – 2 per year
© R. Perez et al.
0.3 per year 2050: ~28 TW
finite renewable
Waves 0.2-2 per year
World Energy Resources (TW-yr)
25
2010 World required ~16 TW
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Solar Insolation – U.S.
PV farm: 20% panels, 2-axis
trackers, Denver solar resource.
356 mi on a side supplies all of the
world’s energy needs in 2035.
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PV farm: 20% panels, 2-axis
trackers, St. Louis solar resource.
388 mi on a side supplies all of the
world’s energy needs in 2035.
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PV & Carbon Emissions Reduction
• This paper focused on industry growth constrained by technology, mfg. capacity and demand. Energy storage, demand shifting and grid modernization not considered directly but incorporated into assumed demand curve.
• High efficiency, advanced concept case based on 24% module efficiency, very thin absorber and ultra-low CAPEX. This case included to show potential impact of innovation alone on future PV market size.
Source: Needleman et al., E&ES, 21APR16
High efficiency with low CAPEX & mfg. costs.
Innova&on for Our Energy Future NATIONAL RENEWABLE ENERGY LABORATORY
Overview
1. Brief introduction of NREL, the MCST Directorate and NREL’s PV Program.
2. PV101 3. Energy and climate change. 4. Cell efficiency and module cost - 39 years of
progress. 5. Enabling PV as a global carbon emissions
reduction tool. 6. Final comments.
28
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PV Research – Dramatic Progress
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Innova&on for Our Energy Future NATIONAL RENEWABLE ENERGY LABORATORY
$0.1
$1.0
$10.0
$100.0
0 1 10 100 1,000 10,000 100,000 1,000,000
Glo
bal
Ave
rage
Pow
er -M
odul
e P
rice
(20
10 $
/Wp)
Cumulative PV Module Shipments (MWp)
PV Module Experience Curve
Sources: Strategies Unlimited, Navigant Consulting & Paula Mints
SunShot 2020 Goal: 50¢/W
PV Module Cost Decline
30
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US System Pricing – Utility Scale >5 MW
• PV system costs at all scales declining rapidly. • SunShot goal of $1/W corresponds to LCOE of 6 ¢/kWh.
31
26 MW
6 MW
685 MW
$-‐
$1
$2
$3
$4
$5
$6
$7
$8
Aug-‐07 Dec-‐08 May-‐10 Sep-‐11 Jan-‐13 Jun-‐14 Oct-‐15 Mar-‐17
Repo
rted
Pric
e (per W
DC)
Placed in Service
Tracking
Fixed Tilt
Original Source: NREL 3Q15 Solar Update, Feldman et al., 19JAN16
Innova&on for Our Energy Future NATIONAL RENEWABLE ENERGY LABORATORY
US System Pricing – Utility Scale >5 MW
• PV system costs at all scales declining rapidly. • SunShot goal of $1/W corresponds to LCOE of 6 ¢/kWh.
32
26 MW
6 MW
685 MW
$-‐
$1
$2
$3
$4
$5
$6
$7
$8
Aug-‐07 Dec-‐08 May-‐10 Sep-‐11 Jan-‐13 Jun-‐14 Oct-‐15 Mar-‐17
Repo
rted
Pric
e (per W
DC)
Placed in Service
Tracking
Fixed Tilt
Original Source: NREL 3Q15 Solar Update, Feldman et al., 19JAN16
0
50
100
150
200
250
300
Jan-‐06
Jan-‐07
Jan-‐08
Jan-‐09
Jan-‐10
Jan-‐11
Jan-‐12
Jan-‐13
Jan-‐14
Jan-‐15
PPA Execution Date
PV (7,234 MW, 100 contracts) CPV (35 MW, 2 contracts) Mix of PV/CPV (7 MW, 1 contract) CSP (1,342 MW, 5 contracts)
Levelized
PPA
Pric
e (Real 201
4 $/MWh)
550 MW
32 MW
210MW
150 MW
Original Source: Ryan Wiser, private communication, March 2016
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PV Annual Production: 1990 - 2015
33
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PV Industry Growth – By Technology
34
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Global PV Capacity - Forecasts
35
0.0
1.0
2.0
3.0
4.0
5.0
6.0
Cumula7
ve PV Shipmen
ts (T
W)
BNEF
Energy [R]evoluGon 2015 -‐ med
WEO 2015 450 PV ProjecGon
CAGR = 15%
CAGR for last 6 years has been ~15%...Extending this to 2030 results in 2.7TW.
Innova&on for Our Energy Future NATIONAL RENEWABLE ENERGY LABORATORY
Overview
1. Brief introduction of NREL, the MCST Directorate and NREL’s PV Program.
2. PV101 3. Energy and climate change. 4. Cell efficiency and module cost - 39 years of
progress. 5. Enabling PV as a global carbon emissions
reduction tool. 6. Final comments.
36
Innova&on for Our Energy Future NATIONAL RENEWABLE ENERGY LABORATORY 38
0.0
2.0
4.0
6.0
8.0
10.0
12.0
14.0
16.0
18.0
20.0
Cumula7
ve PV Shipmen
ts (T
W)
BNEF
Energy [R]evoluGon 2015 -‐ low
Energy [R]evoluGon 2015 -‐ med
Energy [R]evoluGon 2015 -‐ high
WEO 2015 450 PV ProjecGon
WEO 2015 450, PV at 40% of 2030 World Electricity
WEO 2015 450, PV at 20% of 2030 World Energy (TFC)
CAGR = 15%
PV a significant contributor to world electricity.
PV a significant contributor to world energy.
Low end of possible outcomes if no change (PV as “peak shaver”).
Global PV Growth & CO2 Emission Goals
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Barrier: Devaluation of PV Electrons
39
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Barrier: Devaluation of PV Electrons
40
This barrier can be eliminated by the development of low cost energy storage technologies… • Li Ion Batteries • Flow Batteries • Thermal Storage • Pumped Hydro • CAES & “LAES” • H2 Generation – Electrolysis
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Multi-TW Scale PV: Projected Module Price
41
$0.1
$1.0
$10.0
$100.0
0 1 10 100 1,000 10,000 100,000 1,000,000 10,000,000
Glo
bal
Ave
rage
Pow
er -M
odul
e P
rice
(20
10 $
/Wp)
Cumulative PV Module Shipments (MWp)
PV Module Experience Curve
$0.50/W ~1 TW
$0.25/W ~8 TW
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Example – Path to 3¢/kWh LCOE Target
42
Module cost, efficiency and reliability will be the focus of major new R&D efforts.
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Example – Path to 3¢/kWh LCOE Target
43
Module cost, efficiency and reliability will be the focus of major new R&D efforts.
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-‐
Developing Next-‐Gen Si Solar Cells to Enable Higher-‐Efficiency Modules at Today’s Cost
44
Silicon
FOUNDATIONAL KNOWLEDGE
INNOVATION TO APPLICATION
INTEGRATION TO IMPACT
Developed passivated tunnel contacts for advanced cell architecture
Developed Tabula Rasa wafer treatment to prevent O-precipitation
High-efficiency >23%, low-cost industrial-size cell on n-Cz wafer by 2018; currently 21.5% Exploring novel transparent and conductive micro- composites
Advanced Computer Science,
Visualization & Data
Impact entire c-Si PV market
NREL as US-based, internationally recognized Si PV research hub Creates Si industry workforce
Systems Engineering &
Integration
Decision Science & Analysis
Applied Materials Science &
Engineering
Power Systems & Electrical Engineering
Chemical Engineering
b) Traditional IBC cell
%%%%%%%%%%n"CZ%Si%Ion"implanted%
Passivated%contacts%
Tunneling%SiO2%
Intrinsic%pc"Si%
a) Interdigitated Back Passivated Contact cell (IBPC)
n"type%%pc"Si%
p"type%%pc"Si%
Doped%regions%diffused%or%%Ion"implanted%into%the%wafer%
c"Si%
Ion implanted or printed passivated contacts
n-Cz Si wafer
MIT
GIT
CSM
ASU
NIST
FhISE
UNSW
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Si Tandem Cells
Source: Stefan Glunz presentation, NREL Si Workshop in Vail, CO, July, 2012
45
• Path to > 30% efficiency for Si wafer based cells. • Top cell requirements:
• Lattice & CTE match to Si if epitaxially grown • ~1.7 eV band gap
• Perovskites may evolve into good polycrystalline choice.
1.1 eV
dNph
dλ (a
.u.)
top junction
Silicon bottom junction
11.5234 0.70.80.9photon energy (eV)
G173 global spectrum
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Development of World Record GaInP/Si Dual-Junction, One-Sun Solar Cell
The device structure integrates a 1.8-eV GaInP top junction with a silicon bottom junction, with a four-terminal interconnection. The resulting device is pictured at right.
Ø Cost-effective solar cells with efficiency greater than possible with conventional silicon could enable a very large market for low-concentration photovoltaics.
Ø A two-junction structure with a silicon bottom junction is an attractive path to this goal.
Ø NREL developed a new device structure combining a III-V GaInP top junction and a silicon bottom junction, and demonstrated a world record 29.8% efficiency – significantly exceeding the best conventional silicon efficiency of 25.6%.
Ø The four-terminal structure allows ease of construction, and optimal energy production under real-world operating conditions.
Ø We are presently developing an improved, manufacturable bonding technique to enable transfer of this structure to industry.
S. Essig et al., Energy Procedia 77, p. 464 (2015).
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-‐
IntegraBng CapabiliBes to Bring Advanced Technology from Space to Earth
47
High-Efficiency Multi-junction Solar Cells
Superstructure ordering modifies the energy band and tailored opGcal properGes
Devices with “engineered” mulGlayered structures have ~46% conversion efficiency
All commercial cells for space and concentrator PV based on NREL mul7junc7on technology
4.2
4.0
3.8
3.6
3.4
3.2
3.0
Volta
ge (
V)
0.1 1 10 100 1000
Concentration (Suns)
48
46
44
42
40
38
36
Effic
ienc
y (%
)
90
88
86
84
82
Fill
Fact
or (
%)
MM966n5 NREL AIST Model
Voc
Vmax
Junc. #3 GaInAs 1.0 eV
Junc. #1 GaInP 1.8 eV
Junc. #2 GaAs 1.4 eV Graded buffer
Junc. #4 GaInAs 0.7 eV
Graded buffer
handle
understood, the basic results can be extended to other or-dered III-V alloys.
II. SAMPLE GEOMETRY
The sample configuration chosen for this study (Figure 1)consists of In-rich GaxIn1!xP grown compressively strained ona GaAs (001) substrate miscut toward !111ð Þ B. In this paper,the names “Bþ” and “B!” are linked to the asymmetry intro-duced by the sample miscut: a compressively strained epilayerrotates so as to have a higher average surface miscut angle forrelaxation on the Bþ plane, and a smaller average surface mis-cut angle for relaxation on the B–plane.11 These rotations are auseful probe of relaxation, because the net epilayer "tilt" inx-ray diffraction (XRD) plots can be used to determine relativerelaxation on the two planes.
Ordering introduces a second asymmetry. For the miscutdirection shown, a single CuPt ordered variant is obtained inwhich adjacent B! planes alternate between being In-richand Ga-rich. This ordering is stabilized near the growth sur-face by P-P dimers under certain conditions.12 Once formed,it is metastable in the bulk and can be destroyed by anneal-ing.13 As shown in Figure 1(b), dislocations which glideacross the ordered planes can disrupt the ordering pattern. Adislocation gliding along a Bþ plane creates an APB; glidealong a B! plane does not. Glide of dislocations on the!1!11ð Þ and 111ð Þ A planes (not shown) can also create APBs,
but only if the corresponding Burgers vector is also co-planar with the Bþ plane ( 011½ & or !101½ &). If the Burgers
vector is coplanar with the B! plane ð½01!1& or ½!10!1&Þ, noAPB will result. Later in this paper, we will show how theseasymmetries can cause the glide plane to switch between B!and Bþ, but to do this we must first compute EAPB.
III. ANTIPHASE BOUNDARY ENERGY (EAPB)
To compute EAPB, ab initio total-energy calculationswere performed for a supercell of fully ordered Ga0.5In0.5P,first without an APB, and then with APBs of various spac-ings. Total energies were calculated using the screenedHeyd-Scuseria-Ernzerhof (HSE) hybrid density functional,14
as implemented in the VASP package.15 Our DFT calcula-tions employed the projector augmented wave method16 withan energy cutoff of 270 eV for the plane wave part of thewave function. The atomic coordinates were fully relaxed.To obtain EAPB values for widely spaced APBs (for whichthe APB-APB interaction energy is negligible), the APBspacing was increased until EAPB reached a constant value;this occurred at an APB spacing of '40 A.
Figure 2 shows the resulting atomic structure near anAPB viewed along the plane of the APB. No dislocation isshown; this is the APB structure which remains after a dislo-cation glides along the Bþ plane. Because these calculationswere performed for fully ordered material (ordering parame-ter g¼ 1), the resulting EAPB value is an upper limit whichwill be denoted Emax
APB. However, even under growth condi-tions favorable for ordering, the order parameter forGa0.5In0.5P is typically 0.4, and decreases as the alloy com-position moves away from x¼ 0.5. Therefore, the APBenergy for partially ordered material will be approximatedwith an g2 scaling factor: EAPB¼Emax
APB ) g2.1,17
Calculated values of EmaxAPB for three representative III-V
alloys are shown in Table I. Negative values indicate that anAPB-creating dislocation will lower the energy of the systemas it glides, thereby providing a driving force for dislocationglide sAPB¼ –EAPB, where sAPB is a force per unit disloca-tion line length and EAPB is an energy per unit area. Usingspecial quasi-random structures3,18 or random alloy models,the energy released by disordering a unit volume of eachalloy (Edisordering) was also calculated. It is interesting to notethat Emax
APB and Edisordering are roughly proportional to each
FIG. 1. (a) Sample geometry, with the size of the substrate steps exaggeratedfor the purposes of illustration. In the actual experiment, the epilayer thick-ness of 0.25 lm is much greater than the step height. (b) Schematic diagramof the ordering pattern corresponding to the miscut direction shown in (a).Black layers are In-rich; white layers are Ga-rich. APBs can be created byglide on the Bþ plane, but not the B! plane. The supercell used for calcula-tions is a longer version of the shaded rectangle, containing two equallyspaced APBs so as to be periodic, and located in bulk-like material far fromboth the surface and the dislocation core (Figure 2).
FIG. 2. Relaxed atomic structure of an APB on a Bþ plane in fully orderedGaInP2. Distortion of the bond angles can be seen near the APB. Blackatoms are In, white atoms are Ga, and green-shaded atoms are P. The (green)shaded rectangle is the central portion of the widest supercell used in ourcalculations. Each supercell contains two APBs so as to be periodic. Thisfigure is rotated counter-clockwise with respect to Figure 1.
203506-2 McMahon et al. J. Appl. Phys. 114, 203506 (2013)
[This article is copyrighted as indicated in the abstract. Reuse of AIP content is subject to the terms at: http://scitation.aip.org/termsconditions. Downloaded to ] IP:192.174.37.50 On: Mon, 25 Nov 2013 18:19:25
CaGon site order affects DislocaGon glide energeGcs in alloys – allows raGonal design of mulGjuncGons
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Simon et al., IEEE J. Photovolt. v.6, p. 191 (2016); Schulte et al., J. Cryst. Growth v. 434 p. 138 (2016)
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0
50
100
150
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Freq
uency
Degradation Rate (%/year)
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Updated Proposal for a Guide for Quality Management Systems for PV Manufacturing: Supplemental Requirements to ISO 9001-2008 Govind Ramu,1 Masaaki Yamamichi,2 Wei Zhou,3 Alex Mikonowicz,4 Sumanth Lokanath,5 Yoshihito Eguchi,6 Paul Norum,7 and Sarah Kurtz8 1 SunPower 2 National Institute of Advanced Industrial Science and Technology (AIST) 3 Trina Solar 4 Powermark 5 First Solar 6 Mitsui Chemical 7 Amonix 8 National Renewable Energy Laboratory
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