As essentially the most considerable power supply on earth, photo voltaic power is a promising different within the pivot towards clear power. Nonetheless, present business photo voltaic cells are solely 20% environment friendly in changing gentle into usable power.
Tandem photo voltaic cells, by which a number of photo voltaic cells are stacked on high of one another, are probably extra environment friendly. Every cell layer is delicate to completely different wavelengths of sunshine, enabling the seize of power which may in any other case be misplaced.
The highest layer of the tandem photo voltaic cell sometimes permits sure bands of sunshine power to go by means of and be captured by the underside layer. Fabricating the highest layer with a sort of fabric often called perovskite has been discovered to enhance photo voltaic cell effectivity far past the present 20% threshold.
Dr. Xue Hansong from the Singapore College of Expertise and Design (SUTD) explains that perovskite photo voltaic cells “can be tailored to have outstanding optoelectronic properties, including a high absorption coefficient, high defect tolerance, and a tunable bandgap.”
These cells could be difficult to design and fabricate. Maximizing their effectivity usually comes on the value of accelerating materials prices.
To design perovskite photo voltaic cells that steadiness effectivity with cost-effectiveness, the Pareto entrance optimization methodology is used, whereby optimum options are recognized primarily based on their trade-offs between the 2 parameters of effectivity and price. However this methodology could be extraordinarily time-consuming because of the sheer complexity of the calculations concerned.
To handle this, Dr. Xue collaborated with researchers from the Nationwide College of Singapore and the College of Toronto to include machine studying within the Pareto entrance optimization methodology.
Particularly, the workforce turned to neural community studying for his or her examine printed within the journal APL Machine Studying, titled “Exploring the optimal design space of transparent perovskite solar cells for four-terminal tandem applications through Pareto front optimization”.
Dr. Xue and his workforce first generated a set of information utilizing an opto-electronic-electric mannequin to calculate the efficiencies for various configurations of four-terminal (4T) perovskite copper indium selenide tandem photo voltaic cells. With this knowledge, they then skilled a neural community in order that it might shortly simulate and predict the effectivity of any 4T tandem photo voltaic cell below numerous parameters.
Utilizing the neural community to foretell effectivity vastly lowered the time wanted to carry out Pareto entrance optimization. “The neural network took only 11 hours to predict the efficiencies of 3,500 different devices. Performing the same simulation with the original opto-electronic-electric model would have taken approximately six months,” mentioned Dr. Xue.
With the time saved, the workforce might shortly analyze completely different simulations and decide the optimum configuration of a 4T tandem photo voltaic cell that maximizes effectivity at minimal price. In actual fact, the optimum configuration predicted by the neural community exhibited an elevated effectivity of 30.4% whereas additionally decreasing materials prices by 50%. Evaluating this design with current experimental ones additionally offered the researchers with new insights.
“The predicted optimal cells show thinner front contact electrodes, charge-carrier transport layers, and back contact electrodes,” mentioned Dr. Xue. The implications of this discovering can’t be understated—they pointed at charge-carrier transport presumably being a vital consider optimizing perovskite tandem cells.
For Dr. Xue, the success of the novel neural community mannequin is just just the start in enhancing photo voltaic cell effectivity. By using design, AI and know-how, the fabrication of photo voltaic cells can grow to be extra environment friendly, cost-effective, and versatile, contributing considerably to the development of renewable power options.
The workforce can also be seeking to construct onto their neural community by integrating numerous materials knowledge. These embrace using numerous supplies for the charge-carrier transport layer in addition to perovskite compounds with completely different traits.
There are additionally plans to develop their strategy to a wider vary of tandem gadget architectures, reminiscent of all-perovskite, perovskite-on-organic, and perovskite-on-silicon tandem photo voltaic cells.
Extra data:
Hu Quee Tan et al, Exploring the optimum design house of clear perovskite photo voltaic cells for four-terminal tandem purposes by means of Pareto entrance optimization, APL Machine Studying (2024). DOI: 10.1063/5.0187208
Singapore College of Expertise and Design
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Researchers use machine studying to optimize the design of perovskite tandem photo voltaic cells (2024, August 6)
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