HEИндивидуална стипендия2023–2025

INT-PVK-PRINT · An intelligent perovskite solution printing line

„Хоризонт Европа“ — Действия „Мария Склодовска-Кюри“

Период: 2023-09-01 → 2025-08-31
Финансиране от ЕС: 188 590 €
Участници: 2
Схема: HORIZON-TMA-MSCA-PF-EF

Линиите свързват координатора с партньорите.

Накратко на български

Перовскитните слънчеви клетки се оптимизират чрез автоматизирано печатане и изкуствен интелект, който контролира качеството на тънките слоеве в реално време. Това помага за създаването на по-евтини и ефективни фотоволтаици, които да намалят емисиите на парникови газове.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

An intelligent perovskite solution printing line

The project an intelligent perovskite printing line tackles the problem of optimizing and controlling solution-processed hybrid perovskite solution films by employing state-of-the-art in situ characterization and Machine Learning methods. Hybrid perovskite absorbers are an emerging semiconductor technology that will likely have an impact on next-generation photovoltaics (PVs). The most promising commerical applications include 1) hybrid perovksites as a lightweight alternative in flexible, printed thin film PV modules or, in combination with an established PV technology, hybrid perovskites as a new partner in the so-called tandem architecture to enhance the conversion efficiency of PVs beyond the physical limit of a single absorber junction-based modules. Still, hybrid perovskites are challenging to fabricate and control of the required high-quality thin film morphology has proven challenging. The proposed project is set up to find new ways of controlling and optimizing hybrid perovksite thin films by 1) employing in situ characterization that can yield early information on the quality of the produced films 2) calulcuating a feedback from state-of-the-art machine learning models and 3) automatically employing the feedback to either control or optimize the perovskite deposition process in real-time. A successful implementation of the project could facilitate contrl and reproduciblity of this emerging technology and thus boost its commercialization to combat the emission of green house gases by PVs with higher efficiency and a lower price.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

Hybrid perovskite photovoltaics (PV) are considered one of the most promising emerging PV technologies that have the potential to becoming a vital part of future’s renewable energy production needed for combating climate change. However, the community still struggles with the scaling and reproducibility when printing perovskite thin-film absorber layers from solution due to the complex perovskite formation process that is susceptible to a variety of environment and process parameters.This project proposes a novel interface between perovskite solution printing and algorithmic optimization and control theory by equipping a roll-to-roll perovskite printing line with in situ characterization, computational data processing and automatically adjustable process parameters. The characterization is given by point-probe reflection/absorption as well as luminescence imaging measurements. Feedback for control is calculated in real-time using simple control algorithms, at first, and progressing in complexity toward the employment of deep reinforcement learning (DRL), later on. The images are analyzed offline using convolutional neural networks for optimizing absorption/reflection set points for the above-described feedback control.The proposal has two main goals: 1) Boosting the optimization of perovskite solution printing by effectively balancing exploration and exploitation of the large parameter space 2) demonstrating enhanced process control of certain system states to achieve higher process reproducibility and resilience in perovskite printing. These goals are complementary in a sense that control is exceeded on rapidly accessible parameters while optimization is performed with slowly accessible parameters.In conclusion, this proposal presents a fundamental and concise new methodology of addressing reproducibility and scalability in perovskite solution printing that could be used for printing of functional thin-film, as well, highlighting its generality.

Оригинален текст от CORDIS (на английски).

Участници

UNIVERSITA DEGLI STUDI DI ROMA TOR VERGATA · RomaКоординаторИталия
TECHNISCHE UNIVERSITAET MUENCHEN · MuenchenГермания