Simulation study of a 386.4 MW mountain photovoltaic power plant: a case study

In this study, a south-facing hill in Pu 'er City, China was taken as the object, and a mountain photovoltaic model was established based on the topography of the hill. Based on the climate and lighting conditions provided in Meteonorm 8.1 software for the Pu'er Region, PVsyst was used to model the mountain photovoltaic system and study the annual power generation, system losses, and energy efficiency of the photovoltaic system. The results show that the convex terrain in Region A is more conducive to the heat dissipation of the photovoltaic system than the concave terrain in Region B, and the annual loss of a single panel is reduced by 1.4 kWh. Under the same climatic conditions, photovoltaic panels with convex terrain have higher power generation efficiency, with an average annual increase of 13.54 kWh per panel. Convex terrain is significantly better than concave terrain in terms of power generation efficiency, system performance, and reducing shadow loss. The economic benefit analysis of the system indicates that it can yield a profit of approximately 2.57 million yuan over its entire life cycle, with a return on investment of 279.68%. Compared to coal-fired power generation, it can also reduce CO<sub>2</sub> emissions by 10,577,809 kg.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-12-02
DOI
https://doi.org/10.1038/s41598-025-30742-7
Citations
2
Primary Topic
Solar Radiation and Photovoltaics
Type
article
Field-Weighted Citation Impact
4.96
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Simulation study of a 386.4 MW mountain photovoltaic power plant: a case study

太香子 深谷, Jing Ma, Junwei Huang, Peng Xie et al.
2 citations
Scientific Reports
Solar Radiation and Photovoltaics
4.96
article

Simulation study of a 386.4 MW mountain photovoltaic power plant: a case study

太香子 深谷, Jing Ma, Junwei Huang, Peng Xie, Hao Zhang, X. Y. Shen
article en
2 citations

Abstract

In this study, a south-facing hill in Pu 'er City, China was taken as the object, and a mountain photovoltaic model was established based on the topography of the hill. Based on the climate and lighting conditions provided in Meteonorm 8.1 software for the Pu'er Region, PVsyst was used to model the mountain photovoltaic system and study the annual power generation, system losses, and energy efficiency of the photovoltaic system. The results show that the convex terrain in Region A is more conducive to the heat dissipation of the photovoltaic system than the concave terrain in Region B, and the annual loss of a single panel is reduced by 1.4 kWh. Under the same climatic conditions, photovoltaic panels with convex terrain have higher power generation efficiency, with an average annual increase of 13.54 kWh per panel. Convex terrain is significantly better than concave terrain in terms of power generation efficiency, system performance, and reducing shadow loss. The economic benefit analysis of the system indicates that it can yield a profit of approximately 2.57 million yuan over its entire life cycle, with a return on investment of 279.68%. Compared to coal-fired power generation, it can also reduce CO<sub>2</sub> emissions by 10,577,809 kg.

Scientific ReportsVol. 16(1)
Yunnan Agricultural University (CN), Yunnan Investment Group (China) (CN)
Openalex Percentile: Top 4%
Solar Radiation and Photovoltaics
4.96
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.

Simulation study of a 386.4 MW mountain photovoltaic power plant: a case study — 太香子 深谷, Jing Ma, et al. · Scientific Reports (2025) | TGRS Research Map | TGRS