A Direct Chemical Approach to Mitigate Environment Lead Contamination in Perovskite Solar Cells

Benjamin Liu, Zihan Jia and Zhiliang Chen ()
Additional contact information
Benjamin Liu: Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui University, No. 111 Jiulong Road, Hefei 230601, China
Zihan Jia: Department of Environmental Studies, Middlebury College, 14 Old Chapel Road, 3245MC, Middlebury, VT 05753, USA
Zhiliang Chen: Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui University, No. 111 Jiulong Road, Hefei 230601, China

Energies, 2024, vol. 17, issue 7, 1-14

Abstract: Current guidelines indicate that the lead levels in perovskite solar cells are sufficiently low, putting them on par with the safety of other lead-containing electronics. Yet, there remains ambiguity regarding the exact environmental impact of lead derived from perovskite. When this lead enters the soil, it has the potential to permeate plants and, subsequently, our food supply, at a rate that is a staggering ten times more than other lead contaminants from human-induced activities. Given this, it becomes vital to ensure that lead does not pollute our environment as we further adopt these technologies. In this study, we propose a novel method using polymer net bones to anchor the lead, which effectively reduces the risk of lead leaching due to rainfall. Perovskite Solar Cells (PSCs) integrated with this polymer net bone show improved operational efficiency and hold significant promise in curtailing lead leakage, reinforcing the ecological integrity of perovskite solutions. When enhanced with Polyvinyl Alcohol (PVA), these PSCs register a notable increase in Power Conversion Efficiency (PCE), scoring 24.7% as opposed to the 22.3% in PSCs devoid of PVA. Additionally, PVA-augmented PSCs outperform in stability when compared to their traditional counterparts.

Keywords: perovskite solar cells; lead leakage; polymer net bones; PVA; stability (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/17/7/1629/pdf (application/pdf)
https://www.mdpi.com/1996-1073/17/7/1629/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:17:y:2024:i:7:p:1629-:d:1365996

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().