Predicting module temperature and photovoltaic electricity generation using meteorological data

被引：0

作者：

Kim, Yong-min ^{[1
,2
]}

Lee, Hee-Lak ^{[3
]}

Park, Jiyoung ^{[3
,4
]}

Moon, Seung Jae ^{[3
]}

机构：

[1] Hanyang Univ, Dept Power Engn, Seoul 04763, South Korea

[2] Korea East West Power, Power Plant 3 Operat Dept, Dangjin Power Complex, Dangjin 31700, South Korea

[3] Hanyang Univ, Dept Mech Convergence Engn, Seoul 04763, South Korea

[4] Korea Automot Technol Inst, Cheonan 31214, South Korea

来源：

JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY | 2024年 / 38卷 / 09期

关键词：

Insolation; Meteorological condition; Module temperature; Photovoltaic generation; Power generation prediction; VALIDATION; MODEL;

D O I：

10.1007/s12206-024-0845-y

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

The instability of the increasingly important photovoltaic (PV) electricity generation in Korea due to a dependence on meteorological conditions is an emerging problem. In this study, we examined the influence of various meteorological conditions on the prediction accuracy of PV generation and module temperature. The predictions were based on weather data acquired from the Korea Meteorological Administration and compared with actual PV generation data from the Dangjin coal yard PV power facility. The results were analyzed on the basis of meteorological conditions, insolation, ambient temperature, and wind velocity.

引用

页码：5123 / 5133

页数：11

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