INDOOR TEMPERATURE COEFFICIENT EVALUATION OF KU PERC POLY MODULE-延刚

Canadian Solar Inc. System technology center, Gang Yan, Nov 2018 CSIQ NASDAQ Listed INDOOR TEMPERATURE COEFFICIENT EVALUATION OF KU PERC POLY MODULE 2 Background 01 Test summary 02 Conclusion 04 Support Theory 03 3 Background – Ku PERC module performance • Compare to standard poly module, Ku PERC module have better power generation capacity. Better module temperature coefficient ~0.03%/°C Lower NMOT ↓ 2°C Better anti-shading Better reliability • Have better power generation capacity compare to standard poly module 4 Background – Test machine Two advantages: • Good temperature control. • STC power test uncertainty is only 1.5%. Features Temperature range 10°C ~ 75°C Heating/cooling rate 0.8°C/min Temperature control +/-1°C of target temperature Temperature non-uniformity Within 0.5°C each IR sensor 5 6 Background 01 Test summary 02 Conclusion 04 Support Theory 03 7 Test summary – Pmax • The Pmax temperature coefficient of Ku PERC Poly module is 0.03%/℃ better than standard poly module. Data collection & analysis - Methodology: 2017~2018 period Fraunhofer, TUV-SUD and CPTL laboratories Temperature control ±2°C for all the temperature testing range. Conventional cell and PERC technologies 8 Test summary – Uoc/Isc/FF • Voc and FF temperature coefficient (T.C.) drives Pmax T.C. difference. Module type Pmax T.C. [ºC/%] Voc T.C. [ºC/%] FF T.C. [ºC/%] Isc T.C. [ºC/%] Sample No. Ku PERC Poly -0.365 -0.284 -0.138 0.048 22 Poly -0.393 -0.305 -0.147 0.050 29 Δ = Ku PERC Poly - Poly 0.028 0.021 0.009 -0.002 / 9 Background 01 Test summary 02 Conclusion & Next steps 04 Theory 03 10 Support theory 𝛽𝐹𝐹 = 1𝐹𝐹 𝑑𝐹𝐹𝑑𝑇 𝑐 ≈ 1 −1.02𝐹𝐹0 1𝑉 0𝑐 𝑑𝑉𝑜𝑐𝑑𝑇 𝑐 − 1𝑇 𝑐 − 𝑅𝑠𝑉 𝑜𝑐 𝐼 𝑠𝑐 −𝑅𝑠 1𝑅 𝑠 𝑑𝑅𝑠𝑑𝑇 𝑐 𝛽𝑉𝑜𝑐 = 𝑑𝑉𝑜𝑐𝑑𝑇 𝑐 = − 𝑉𝑔0 −𝑉𝑜𝑐 +𝛾 𝑘𝑇/𝑞𝑇 𝛽𝑃𝑀𝑃𝑃 ≈ 𝛽𝑉𝑜𝑐 + 𝛽𝐼𝑠𝑐 + 𝛽𝐹𝐹 • PERC cells with their significantly improved 𝑉𝑜𝑐 would demonstrate considerably reduced temperature coefficients. • Half cells with their significantly decreased Rs would demonstrate considerably reduced temperature coefficients. Eg0 is the bandgap extrapolated linearly from the temperature of interest to 0 K, 𝑘 is the Boltzmann s constant, 𝑞 is the elementary charge 𝛾 is a constant equal to 3 M. A. Green, K. Emery and A. W. Blakers, ‘Silicon solar cells with reduced temperature sensitivity’, Electron.Lett. 2, 97-98 (1982). 11 Support theory • Mass production data shows that Ku PERC poly module have higher Voc and lower Rs. Module Type Pmax [W] Voc [V] Isc [A] FF [%] Rs [mΩ] Num [pcs] Ku PERC Poly 360.4 47.15 9.75 78.4% 0.45 32146 Poly 337.4 45.99 9.63 76.2% 0.69 64217 Δ = Ku PERC Poly - Poly 23.0 1.2 0.1 2.2% -0.2 / 12 Background 01 Test summary 02 Conclusion 04 Support Theory 03 13 Conclusions • The Pmax temperature coefficient of Ku PERC Poly module is 0.03%/℃ better than standard poly module. • PERC cells with their significantly improved 𝑉𝑜𝑐 and half cells with their significantly decreased Rs demonstrate considerably reduced temperature coefficients. 14 15 Back up slides 16 CSI Milestones 17 Front Rear • State of the art MCCE (Metal Catalyzed Chemical Etching) • PERC structure using ALD Al2 O3 passivation • 5 busbar design / MBB multi-busbar (9) • Controlled LID/LeTiD • Excellent low light response • Lower temperature coefficient • Enables Bifacial cells Main Characteristics CSI P4 introduction – Poly PERC technology 18 CSI P4 introduction - Higher output power • P4 has higher output power than standard mono • P4 Ku module wattage is comparable to mono PERC 6K-P4 3K-P4 + MBB 0% 10% 20% 30% 40% 282W 282W 284W 286W 288W 290W ≥292W 0% 10% 20% 30% 40% 296W 296W 298W 300W 302W 304W ≥306W Wattage higher than mono Wattage comparable to mono PERC 19 CSI KU PERC module at a glance 20 CSI KU PERC module at a glance 21 CSI KU PERC module at a glance