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

共 50 条

[1] IoT Network and Sensor Signal Conditioning for Meteorological Data and Photovoltaic Module Temperature Monitoring
Pereira, Renata I. S.
Juca, Sandro C. S.
Carvalho, Paulo C. M.
Souza, Cleonilson P.
IEEE LATIN AMERICA TRANSACTIONS, 2019, 17 (06) : 937 - 944
[2] A Photovoltaic Module Thermal Model Using Observed Insolation and Meteorological Data to Support a Long Life, Highly Reliable Module-Integrated Inverter Design by Predicting Expected Operating Temperature
Balog, Robert S.
Kuai, Yingying
Uhrhan, Greg
2009 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION, VOLS 1-6, 2009, : 3222 - +
[3] Effect of dust on the solar spectrum and electricity generation of a photovoltaic module
Konyu, Maruphong
Ketjoy, Nipon
Sirisamphanwong, Chatchai
IET RENEWABLE POWER GENERATION, 2020, 14 (14) : 2759 - 2764
[4] PHOTOVOLTAIC GENERATION OF ELECTRICITY
CHALMERS, B
SCIENTIFIC AMERICAN, 1976, 235 (04) : 34 - 43
[5] Determining the Effect of Photovoltaic Module Surface Temperature on Generation Efficiency
Karaca, Cengiz
Yaver, Seren
INGENIERIA E INVESTIGACION, 2024, 44 (02):
[6] Predicting snow density using meteorological data
Meloysund, Vivian
Leira, Bernt
Hoiseth, Karl V.
Liso, Kim Robert
METEOROLOGICAL APPLICATIONS, 2007, 14 (04) : 413 - 423
[7] Predicting apricot phenology using meteorological data
Mirjana Ruml
Dragan Milatović
Todor Vulić
Ana Vuković
International Journal of Biometeorology, 2011, 55 : 723 - 732
[8] Predicting apricot phenology using meteorological data
Ruml, Mirjana
Milatovic, Dragan
Vulic, Todor
Vukovic, Ana
INTERNATIONAL JOURNAL OF BIOMETEOROLOGY, 2011, 55 (05) : 723 - 732
[9] Synthetic series of electricity generation through a photovoltaic system by using different panel temperature models
Stach A.H.M.
Neto D.P.
Vidal M.A.
Souto O.C.N.
Silva S.B.
Domingues E.G.
Renewable Energy and Power Quality Journal, 2021, 19 : 39 - 44
[10] Meteorological Parameters Analysis for hourly Forecast of Electricity Generation by Photovoltaic Power Station on the Day Ahead
Lezhnyuk, P.
Komar, V.
Kravchuk, S.
Lesko, V.
Netrebskiy, V.
2018 IEEE 3RD INTERNATIONAL CONFERENCE ON INTELLIGENT ENERGY AND POWER SYSTEMS (IEPS), 2018, : 235 - 238

← 1 2 3 4 5 →