Photovoltaic Module Thermal/Wind Performance: Long-Term Monitoring and Model Development for Energy Rating

Carl Osterwald

Photovoltaic Module Thermal/Wind Performance: Long-Term Monitoring and Model Development for Energy Rating

Carl Osterwald

Chemistry and Nanoscience

Research output: Contribution to conference › Paper

Abstract

In order to predict the energy production of photovoltaic (PV) modules, it is necessary to predict the module temperature as a function of ambient temperature, wind speed, wind direction, total irradiance, and relative humidity. This paper presents a mathematical model to predict the module temperature based on the field monitored real data of module temperature, ambient temperature, wind speed,wind direction and relative humidity.

Original language	American English
Number of pages	4
State	Published - 2003
Event	NCPV and Solar Program Review Meeting - Denver, Colorado Duration: 24 Mar 2003 → 26 Mar 2003

Conference

Conference	NCPV and Solar Program Review Meeting
City	Denver, Colorado
Period	24/03/03 → 26/03/03

NREL Publication Number

NREL/CP-520-35645

Keywords

ambient conditions
mathematical model
PV module temperature

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

https://www.nrel.gov/docs/fy03osti/35645.pdf

Cite this

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title = "Photovoltaic Module Thermal/Wind Performance: Long-Term Monitoring and Model Development for Energy Rating",

abstract = "In order to predict the energy production of photovoltaic (PV) modules, it is necessary to predict the module temperature as a function of ambient temperature, wind speed, wind direction, total irradiance, and relative humidity. This paper presents a mathematical model to predict the module temperature based on the field monitored real data of module temperature, ambient temperature, wind speed,wind direction and relative humidity.",

keywords = "ambient conditions, mathematical model, PV module temperature",

author = "Carl Osterwald",

year = "2003",

language = "American English",

note = "NCPV and Solar Program Review Meeting ; Conference date: 24-03-2003 Through 26-03-2003",

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TY - CONF

T1 - Photovoltaic Module Thermal/Wind Performance: Long-Term Monitoring and Model Development for Energy Rating

AU - Osterwald, Carl

PY - 2003

Y1 - 2003

N2 - In order to predict the energy production of photovoltaic (PV) modules, it is necessary to predict the module temperature as a function of ambient temperature, wind speed, wind direction, total irradiance, and relative humidity. This paper presents a mathematical model to predict the module temperature based on the field monitored real data of module temperature, ambient temperature, wind speed,wind direction and relative humidity.

AB - In order to predict the energy production of photovoltaic (PV) modules, it is necessary to predict the module temperature as a function of ambient temperature, wind speed, wind direction, total irradiance, and relative humidity. This paper presents a mathematical model to predict the module temperature based on the field monitored real data of module temperature, ambient temperature, wind speed,wind direction and relative humidity.

KW - ambient conditions

KW - mathematical model

KW - PV module temperature

M3 - Paper

T2 - NCPV and Solar Program Review Meeting

Y2 - 24 March 2003 through 26 March 2003

ER -

Photovoltaic Module Thermal/Wind Performance: Long-Term Monitoring and Model Development for Energy Rating

Abstract

Conference

NREL Publication Number

Keywords

UN SDGs

Access to Document

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Cite this