Investigation of seasonal dust accumulation intensity at four PV power plants surrounded by different types of agricultural areas in a hot and humid climate

Abstract In Thailand, photovoltaic (PV) power plant performance is reduced by up to 3% per month due to soiling, which contributes to higher maintenance costs. This study evaluates the dust deposition on four PV power plants from different environments: rice, cassava, corn, and sugarcane fields, and rock blast mines. Dust was quantified based on every two-weeks of one-year-exposed microscope slide samples with the taken microscope picture analyzed by ImageJ software to assess the dust area fractions. The highest dust accumulation was at PV plants close to rock blast area (27.84% in January), followed by cassava and corn farms (22.97% in December), rice fields, cassava, and corn farms, (18.00% in December) and only rice fields (15.21% in February). During the rainy season, dust accumulation rate was small, with rates below ±0.01% per day, reaching maximum averages of 0.47% per day during winter months. Additionally, dust particle size and weight density varied significantly among sites, influenced by local dust sources and environmental conditions. Wind speed and localized rainfall also played a role in dust removal, but site-specific dust generation was the dominant factor affecting accumulation trends. These findings can be implementing a proper cleaning schedule.

Authors

Institutions

Publication Details

Journal
Japanese Journal of Applied Physics
Published
2025-04-25
DOI
https://doi.org/10.35848/1347-4065/add0bd
Primary Topic
Solar Radiation and Photovoltaics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Investigation of seasonal dust accumulation intensity at four PV power plants surrounded by different types of agricultural areas in a hot and humid climate

Nattakarn Sakarapunthip, Yaowanee Sangpongsanont, Buntoon Wiengmoon, Tanokkorn Chenvidhya et al.
Japanese Journal of Applied Physics
Solar Radiation and Photovoltaics
article

Investigation of seasonal dust accumulation intensity at four PV power plants surrounded by different types of agricultural areas in a hot and humid climate

Nattakarn Sakarapunthip, Yaowanee Sangpongsanont, Buntoon Wiengmoon, Tanokkorn Chenvidhya, Surawut Chuangchote, Dhirayut Chenvidhya
article en

Abstract

Abstract In Thailand, photovoltaic (PV) power plant performance is reduced by up to 3% per month due to soiling, which contributes to higher maintenance costs. This study evaluates the dust deposition on four PV power plants from different environments: rice, cassava, corn, and sugarcane fields, and rock blast mines. Dust was quantified based on every two-weeks of one-year-exposed microscope slide samples with the taken microscope picture analyzed by ImageJ software to assess the dust area fractions. The highest dust accumulation was at PV plants close to rock blast area (27.84% in January), followed by cassava and corn farms (22.97% in December), rice fields, cassava, and corn farms, (18.00% in December) and only rice fields (15.21% in February). During the rainy season, dust accumulation rate was small, with rates below ±0.01% per day, reaching maximum averages of 0.47% per day during winter months. Additionally, dust particle size and weight density varied significantly among sites, influenced by local dust sources and environmental conditions. Wind speed and localized rainfall also played a role in dust removal, but site-specific dust generation was the dominant factor affecting accumulation trends. These findings can be implementing a proper cleaning schedule.

Japanese Journal of Applied PhysicsVol. 64(5)
Joint Graduate School of Energy and Environment (TH), King Mongkut's University of Technology Thonburi (TH), Naresuan University (TH)
Openalex Percentile: Top 96%
Solar Radiation and Photovoltaics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.