journal article·2021-07

Energy Tracing of Photovoltaic Cells

Yidan An, Tianshu Ma, Xiaofeng Li

Solar RRL· Volume 5· Issue 7
Publisher page

Abstract

Where did the solar energy go in photovoltaic cells in addition to the electricity? Herein, a detailed analytical derivation and numerical investigation on tracing the energy in solar cells (SCs) driven by various mechanisms are presented. Particularly, the critical factors constraining the SC performance are addressed, i.e., the energy and voltage losses. Six categories of intrinsic losses and three categories of potential losses in SCs are identified, in which the sum of Joule and Peltier losses show a constant under a specific bias and can be regarded as a self‐heating effect within SC; moreover, it is strongly dependent with the key material/device parameters, which can be effectively decreased for a realistic (with carrier recombination) SC system so that approaches the limiting efficiency. To bridge the energy loss and the temperature characteristics, an opto–electro–thermal model is developed to accurately mimic the multiphysics responses of SCs. For Si/perovskite and perovskite/perovskite double‐junction SCs, the energy‐tracing study explains the various energy factors limiting the highest efficiency and predicts an efficiency up to 37.5% by an optimal Si/perovskite double‐junction design. The energy‐based study promotes the understanding of the fundamental photovoltaic physics for the possibilities of new photoconversion strategies with higher performances.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Perovskite Materials and Applications · Chalcogenide Semiconductor Thin Films · solar cell performance optimization

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Optoelectronic Science and Engineering & Collaborative Innovation Center of Suzhou Nano Science and Technology Soochow University Suzhou 215006 China

Key Lab of Advanced Optical Manufacturing Technologies of Jiangsu Province & Key Lab of Modern Optical Technologies of Education Ministry of China Soochow University Suzhou 215006 China

Funding

National Natural Science Foundation of China · Natural Science Foundation of Jiangsu Province

References (34)

Show source-provided references
1. 10.1038/nenergy.2017.3210.1038/nenergy.2017.32 ↗
2. 10.1002/pip.330310.1002/pip.3303 ↗
3. 10.1016/j.joule.2019.06.01410.1016/j.joule.2019.06.014 ↗
4. 10.1126/science.aaz507410.1126/science.aaz5074 ↗
5. 10.1126/science.abd401610.1126/science.abd4016 ↗
6. 10.1038/s41560-020-0598-510.1038/s41560-020-0598-5 ↗
7. 10.1063/1.173603410.1063/1.1736034 ↗
8. 10.1088/0022-3727/13/5/01810.1088/0022-3727/13/5/018 ↗
9. 10.1002/pip.102410.1002/pip.1024 ↗
10. 10.1103/PhysRevB.82.24520710.1103/PhysRevB.82.245207 ↗
11. 10.1103/PhysRevB.84.07521010.1103/PhysRevB.84.075210 ↗
12. 10.1063/1.489869210.1063/1.4898692 ↗
13. 10.1039/C5EE02871J10.1039/C5EE02871J ↗
14. 10.1002/aenm.20190163110.1002/aenm.201901631 ↗
15. 10.1002/admi.20180026010.1002/admi.201800260 ↗
16. 10.1039/C9EE02020A10.1039/C9EE02020A ↗
17. 10.1364/OE.19.00A88810.1364/OE.19.00A888 ↗
18. 10.1002/pip.215910.1002/pip.2159 ↗
19. 10.1016/j.nanoen.2017.11.03110.1016/j.nanoen.2017.11.031 ↗
20. 10.1063/1.499028810.1063/1.4990288 ↗
21. 10.1002/adma.20160349210.1002/adma.201603492 ↗
22. 10.1021/acsnano.0c0139210.1021/acsnano.0c01392 ↗
23. 10.1126/science.aad442410.1126/science.aad4424 ↗
24. 10.1016/j.rser.2016.12.08910.1016/j.rser.2016.12.089 ↗
25. 10.1038/nmat326310.1038/nmat3263 ↗
26. 10.1038/s41566-019-0479-210.1038/s41566-019-0479-2 ↗
27. 10.1109/43.6275110.1109/43.62751 ↗
28. Sze S. M. · 2007
29. 10.1002/solr.20180012610.1002/solr.201800126 ↗
30. 10.1002/advs.20190265610.1002/advs.201902656 ↗
31. 10.1016/j.joule.2020.04.01310.1016/j.joule.2020.04.013 ↗
32. 10.1039/C9NR04110A10.1039/C9NR04110A ↗
33. 10.1109/JPHOTOV.2016.264606210.1109/JPHOTOV.2016.2646062 ↗
34. 10.1002/aenm.20200045410.1002/aenm.202000454 ↗