PVMD Arno Smets Delft University of Technology Learning objectives - PowerPoint PPT Presentation

Mar 05, 2024 •686 likes •839 views

Yablonovitch limit PVMD Arno Smets Delft University of Technology Learning objectives How is absorption enhancement limit derived What assumptions underlie this limit Absorption enhancement in a c-Si solar cell Enhancement by

Yablonovitch limit PVMD Arno Smets Delft University of Technology
Learning objectives • How is absorption enhancement limit derived • What assumptions underlie this limit • Absorption enhancement in a c-Si solar cell
Enhancement by texturing Air Silicon
Enhancement by texturing Air Silicon
Enhancement by texturing R Air Silicon L
Enhancement by texturing R Air R Silicon L
Enhancement by texturing and back reflector Air Silicon
Enhancement by texturing and back reflector R * Air Silicon L *
Enhancement by texturing and back reflector R * R * Air Silicon L *
Assumptions theoretical limit Assumptions: Anti reflection coating • R front =0 (implementing surface nano-texture) Scattering at textured interfaces • Lambertian (decoupling front- and backside texture scattering morphologies) Back reflector • R back =1 (replacing metallic back reflector with dielectric back reflector)
Enhancement c-Si solar cell Front nano-texture 1.0 2 µm DBR 0.8 Ag 0.6 A Si Thermal SiO 2 Bulk c-Si 0.4 20 μ m 0.2 2 µm 0.0 400 400 600 600 800 800 1000 1000 1200 1200 1.28 μ m DBR T DBR 2 Wavelength (nm) J PH T DBR = 0.54 mA/cm A Ag 2 J PH A Ag = 0.40 mA/cm Back micro-texture A. Ingenito, O. Isabella, M. Zeman, ACS Photonics , 1, 270−278 (2014) TU Delft
Enhancement c-Si solar cell in practice 1.0 0.8 R, Absorptance, Losses (-) R , Absorptance, Losses [-] 190 µm 0.6 R (3.60 mA/cm 2 ) Emitter (3.81 mA/cm 2 ) Al-BSF (0.06 mA/cm 2 ) 0.4 Si-Al (4.31 mA/cm 2 ) Bulk (32.65 mA/cm 2 ) Simulated EQE (34.68 mA/cm 2 ) 0.2 Measured EQE (34.71 mA/cm 2 ) 0.0 400 500 600 700 800 900 1000 1100 1200 Wavelength (nm) Wavelength [nm] A. Ingenito, O. Isabella, M. Zeman, SOLMAT 123, 17-29, 2014. (TU Delft)
Assumptions: R • R Air R front =0 • Lambertian scattering Silicon • R back =1 L 1.0 R, Absorptance, Losses (-) 0.8 R , Absorptance, Losses [-] R * R * Air 0.6 R (3.60 mA/cm 2 ) Emitter (3.81 mA/cm 2 ) Silicon Al-BSF (0.06 mA/cm 2 ) 0.4 Si-Al (4.31 mA/cm 2 ) Bulk (32.65 mA/cm 2 ) L * Simulated EQE (34.68 mA/cm 2 ) 0.2 Measured EQE (34.71 mA/cm 2 ) 0.0 400 500 600 700 800 900 1000 1100 1200 Wavelength (nm) Wavelength [nm]

Download Presentation

Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend

PVMD Delft University of Technology Introduction DNIcos(AOI) f(SVF, AOI, DHI) G Module GHI

Finding the Optimal Tilt Angle Olindo Isabella PVMD Delft University of Technology Introduction DNIcos(AOI) f(SVF, AOI, DHI) G Module GHI a (1-SVF) f( tilt , azimuth ) M Learning objectives 1. Solar irradiance 2. Sun movement

845 views • 15 slides

PVMD Ren van Swaaij Delft University of Technology Learning objectives How is V oc related

Recombination parameter J 0 PVMD Ren van Swaaij Delft University of Technology Learning objectives How is V oc related to saturation current density, J 0 , and minority carrier lifetime? Relation between J 0 and recombination

345 views • 33 slides

PVMD Delft University of Technology Applica)ons of semiconductors Solar cells

Introduc)on to semiconductor physics Miro Zeman PVMD Delft University of Technology Applica)ons of semiconductors Solar cells Transistors Integrated Diodes circuits Semiconductor

194 views • 16 slides

PVMD Delft University of Technology Plasmonics in solar cells: learning objectives NPs behind

Plasmonics in PV Part 2 Arno Smets PVMD Delft University of Technology Plasmonics in solar cells: learning objectives NPs behind Ag scattering NPs behind the absorber: back reflector electric fields: incident total + = reflected

240 views • 9 slides

PVMD Delft University of Technology Learning objective 1. Maximum Power Point Tracking 1.

Cables Ravi Vasudevan PVMD Delft University of Technology Learning objective 1. Maximum Power Point Tracking 1. Introduction to MPPT 2. Indirect Methods 3. Perturb and Observe 4. Incremental Conductance 5. Cost and Overview 2.

826 views • 18 slides

PVMD Miro Zeman Delft University of Technology Equilibrium Equilibrium The unperturbed state

Carrier concentrations PVMD Miro Zeman Delft University of Technology Equilibrium Equilibrium The unperturbed state of a system, to which no external voltage, magnetic field, illumination, mechanical stress, or other perturbing forces are

400 views • 18 slides

PVMD Arno Smets Delft University of Technology Learning objectives What is a PIN junction

PIN junction PVMD Arno Smets Delft University of Technology Learning objectives What is a PIN junction Why is a PIN junction used for thin film silicon solar cells Importance of doped layers Charge carrier transport mechanisms

337 views • 10 slides

PVMD Delft University of Technology Energy of an 1 electron Preliminary

Energy band diagrams Miro Zeman PVMD Delft University of Technology Energy of an 1 electron Preliminary assump2ons Assump2ons: The crystal la5ce has no

659 views • 22 slides

PVMD Arno Smets Delft University of Technology Learning objectives The what, how and why

Current matching part 1 PVMD Arno Smets Delft University of Technology Learning objectives The what, how and why of current matching Influence of material properties The versatility of silicon oxide Micromorph solar cell 16

529 views • 6 slides

PVMD Delft University of Technology Learning objectives How are Force, Energy

Energy Arno Smets PVMD Delft University of Technology Learning objectives How are Force, Energy and Power related How to define and relate different types of energy

322 views • 17 slides

PVMD Delft University of Technology Learning objectives What is the function

Solar cell losses and design part 1 Arno Smets PVMD Delft University of Technology Learning objectives What is the function of the various parts of the solar cell

741 views • 11 slides

PVMD Delft University of Technology Learning objectives What are the record efficiencies for lab

The final review Record efficiencies Arno Smets PVMD Delft University of Technology Learning objectives What are the record efficiencies for lab scales cells and modules? How do record efficiencies scale with device size? What

483 views • 9 slides

PVMD Delft University of Technology Atomic layer deposition C 1. C Al C Al Al Al C Al

Other TF deposition techniques part 3 Arno Smets PVMD Delft University of Technology Atomic layer deposition C 1. C Al C Al Al Al C Al C C C C Al C Al C C Al C C Al Al Al O O O O Substrate Heater Atomic layer

370 views • 8 slides

PVMD Miro Zeman Delft University of Technology P-N Junction under Bias - + V a I I A P N

The Dark J-V Curve PVMD Miro Zeman Delft University of Technology P-N Junction under Bias - + V a I I A P N C I d Anode Cathode Bias Conditions Forward bias Reverse bias J-V Characteristic Shockley equation: Dark J-V

347 views • 5 slides

PVMD Olindo Isabella Delft University of Technology Plane of array PV modules irradiance

Introduction to Electrical Conversion PVMD Olindo Isabella Delft University of Technology Plane of array PV modules irradiance Fluid-dynamic model q convection T ambient T sky q rad,sky q convection q sun Meteo data q rad,ground T module T

439 views • 11 slides

PVMD Delft University of Technology Stand-Alone System PV Panels Balance of System (BoS)

Overview of components in a PV system Olindo Isabella PVMD Delft University of Technology Stand-Alone System PV Panels Balance of System (BoS) Outputs Storage Charge Controller Inverter Grid-Connected System Balance of PV Panels

846 views • 13 slides

Vortex shedding past square cylinder Vortex shedding past square cylinder URANS (K-Omega SST with

Vortex shedding past square cylinder Vortex shedding past square cylinder URANS (K-Omega SST with no wall functions) LES (Smagorinsky) Vortices visualized by Q-criterion Vortices visualized by Q-criterion

671 views • 19 slides

Summary of CPOD 2017 (Critical) comments and personal observations M. Stephanov M. Stephanov

Summary of CPOD 2017 (Critical) comments and personal observations M. Stephanov M. Stephanov Summary CPOD 2017 1 / 1 Blanket apology for talks uncovered M. Stephanov Summary CPOD 2017 2 / 1 History Cagniard de la Tour (1822): discovered

763 views • 40 slides

Poiseuille Flow Controller Design via the Method of Inequalities James F. Whidborne 1 John McKernan

Poiseuille Flow Controller Design via the Method of Inequalities James F. Whidborne 1 John McKernan 1 George Papadakis 2 1. Department of Aerospace Sciences, Cranfield University 2. Division of Engineering, Kings College London UKACC Control

451 views • 20 slides

EXTENSIVITY AND ENTROPY CURRENT AT THERMODYNAMIC EQUILIBRIUM WITH ACCELERATION EXTENSIVITY AND

ITP HEIDELBERG FEBRUARY 11 2020 DAVIDE RINDORI UNIVERSITY OF FLORENCE AND INFN FLORENCE DIVISION EXTENSIVITY AND ENTROPY CURRENT AT THERMODYNAMIC EQUILIBRIUM WITH ACCELERATION EXTENSIVITY AND ENTROPY CURRENT AT THERMODYNAMIC EQUILIBRIUM WITH

398 views • 25 slides

s r a t s B Marco Pignatari (Basel) G A - r e p Bill Paxton (KITP) u s n i n

Low- and intermediate mass stellar evolution and recurrent H-ingestion events in super-AGB thermal pulses s r a t s B Marco Pignatari (Basel) G A - r e p Bill Paxton (KITP) u s n i n Paul Woodward (U Minnesota) o i t s u

415 views • 38 slides

Atomic dif Atomic diffusion and lithium usion and lithium pr processing in ocessing in old

Atomic dif Atomic diffusion and lithium usion and lithium pr processing in ocessing in old metal poor star old metal poor stars Olivier Richard LUPM UMR5299, Universit Montpellier II, Montpellier, France Main collaborators: Georges

266 views • 22 slides

Immut able Infrastructure Rise of the Machine Images About Axel Fontaine Founder and CEO of

@axelfontaine Immut able Infrastructure Rise of the Machine Images About Axel Fontaine Founder and CEO of Boxfuse Over 15 years industry experience Continuous Delivery expert Regular speaker at tech conferences JavaOne

1.17k views • 92 slides

Matrices with Integer Eigenvalues 4 1 1 0 1 1 4 0 1 1

Matrices with Integer Eigenvalues 4 1 1 0 1 1 4 0 1 1 1 0 3 0 0 0 1 0 3 0 1 1 0 0 3 Ron Adin Bar-Ilan University

758 views • 27 slides