Jinzhou Sunshine Meteorological Technology Co.,Ltd
Jinzhou Sunshine Meteorological Technology Co.,Ltd
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Main Products: Meteorological environment monitor instrument, Solar radiation, weather staion, weather sensor
Home > Blog > PV + Education: Sun Weather PV Environmental Monitoring System Supports Green Campus Development

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PV + Education: Sun Weather PV Environmental Monitoring System Supports Green Campus Development

Amid the continued advancement of carbon reduction goals and green campus transformation, distributed photovoltaic systems are becoming an important solution for optimizing campus energy structures. By utilizing rooftop space on academic buildings, laboratories, and dormitories, PV projects not only deliver clean energy locally but also help promote environmental awareness and sustainability education among students and faculty.


“光伏+教育”,阳光气象光伏环境监测仪打造绿色教育新阵地!1_副本.jpg


Recently, the PV Environmental Monitoring System provided by Jinzhou Sunshine Meteorological Technology Co., Ltd (Sun Weather) for Taiyuan University of Technology has been officially put into operation. The system enables precise environmental and meteorological monitoring for photovoltaic power stations, helping optimize generation strategies and improve overall energy management efficiency.


“光伏+教育”,阳光气象光伏环境监测仪打造绿色教育新阵地!2_副本.jpg


The monitoring system integrates functions including remote monitoring, remote diagnostics, and big data analysis, supporting digital, refined, and efficient energy management. It significantly enhances campus energy utilization performance and operational control capabilities.


Designed around the environmental characteristics of the PV plant’s core generation area, the project adopts a distributed architecture of main data logger plus sensor array, overcoming the limitations of traditional centralized monitoring and establishing an all-weather, multi-dimensional, no-blind-spot monitoring network.


In addition to measuring basic meteorological parameters such as ambient temperature, humidity, wind speed, wind direction, and atmospheric pressure, the system focuses on photovoltaic industry requirements. With minute-level sampling intervals and research-grade accuracy, it continuously analyzes variations in global solar radiation across different time periods and evaluates their impact on PV output.


By supporting optimal radiation capture strategies and improving the received irradiance on PV panel surfaces, the system helps increase power generation efficiency and provides scientific data support for the effective development and utilization of campus solar energy resources.


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