利用气象数据预测组件温度和光伏发电量

IF 1.5 4区工程技术 Q3 ENGINEERING, MECHANICAL

Journal of Mechanical Science and Technology Pub Date : 2024-09-03 DOI:10.1007/s12206-024-0845-y

Yong-min Kim, Hee-Lak Lee, Jiyoung Park, Seung Jae Moon

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引用次数: 0

摘要

在韩国，日益重要的光伏（PV）发电因依赖气象条件而不稳定，这是一个新出现的问题。在本研究中，我们考察了各种气象条件对光伏发电量和模块温度预测精度的影响。预测基于从韩国气象局获得的气象数据，并与 Dangjin 煤场光伏发电设施的实际光伏发电数据进行了比较。结果根据气象条件、日照、环境温度和风速进行了分析。

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Predicting module temperature and photovoltaic electricity generation using meteorological data

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.

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来源期刊

Journal of Mechanical Science and Technology 工程技术-工程：机械

CiteScore

2.90

自引率

6.20%

发文量

517

审稿时长

7.7 months

期刊介绍： The aim of the Journal of Mechanical Science and Technology is to provide an international forum for the publication and dissemination of original work that contributes to the understanding of the main and related disciplines of mechanical engineering, either empirical or theoretical. The Journal covers the whole spectrum of mechanical engineering, which includes, but is not limited to, Materials and Design Engineering, Production Engineering and Fusion Technology, Dynamics, Vibration and Control, Thermal Engineering and Fluids Engineering. Manuscripts may fall into several categories including full articles, solicited reviews or commentary, and unsolicited reviews or commentary related to the core of mechanical engineering.