The Case for Custom TMYs: Examples Using the NSRDB: Preprint

Aron Habte; Manajit Sengupta; Janine Keith

The Case for Custom TMYs: Examples Using the NSRDB: Preprint

Aron Habte, Manajit Sengupta, Janine Keith

Research output: Contribution to conference › Paper

Abstract

A typical meteorological year (TMY) essentially represents an hourly compilation of median months constructed using multiyear data sets. Although TMYs are generated from global horizontal irradiance, they are used in photovoltaic (PV) modeling for various plane-of-array (POA) representations. This paper demonstrates that a POA TMY generated with corresponding POA irradiance time-series information produces significantly different results than a POA TMY generated by transposing a TMY data set. In some months, the differences can be more than 3%. These results point to the need for generating TMYs using POA irradiance time series representing the orientation at which PV panels will be deployed.

Original language	American English
Number of pages	9
State	Published - 2019
Event	46th IEEE Photovoltaic Specialists Conference (PVSC 46) - Chicago, Illinois Duration: 16 Jun 2019 → 21 Jun 2019

Conference

Conference	46th IEEE Photovoltaic Specialists Conference (PVSC 46)
City	Chicago, Illinois
Period	16/06/19 → 21/06/19

Bibliographical note

See NREL/CP-5D00-76337 for paper as published in IEEE proceedings

NREL Publication Number

NREL/CP-5D00-74063

Keywords

National Solar Radiation Database
NSRDB
photovoltaic
plane of array
POA
PV
TMY
typical meteorological year

UN SDGs

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

Access to Document

https://www.nrel.gov/docs/fy19osti/74063.pdf

Cite this

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title = "The Case for Custom TMYs: Examples Using the NSRDB: Preprint",

abstract = "A typical meteorological year (TMY) essentially represents an hourly compilation of median months constructed using multiyear data sets. Although TMYs are generated from global horizontal irradiance, they are used in photovoltaic (PV) modeling for various plane-of-array (POA) representations. This paper demonstrates that a POA TMY generated with corresponding POA irradiance time-series information produces significantly different results than a POA TMY generated by transposing a TMY data set. In some months, the differences can be more than 3%. These results point to the need for generating TMYs using POA irradiance time series representing the orientation at which PV panels will be deployed.",

keywords = "National Solar Radiation Database, NSRDB, photovoltaic, plane of array, POA, PV, TMY, typical meteorological year",

author = "Aron Habte and Manajit Sengupta and Janine Keith",

note = "See NREL/CP-5D00-76337 for paper as published in IEEE proceedings; 46th IEEE Photovoltaic Specialists Conference (PVSC 46) ; Conference date: 16-06-2019 Through 21-06-2019",

year = "2019",

language = "American English",

}

TY - CONF

T1 - The Case for Custom TMYs: Examples Using the NSRDB: Preprint

AU - Habte, Aron

AU - Sengupta, Manajit

AU - Keith, Janine

N1 - See NREL/CP-5D00-76337 for paper as published in IEEE proceedings

PY - 2019

Y1 - 2019

N2 - A typical meteorological year (TMY) essentially represents an hourly compilation of median months constructed using multiyear data sets. Although TMYs are generated from global horizontal irradiance, they are used in photovoltaic (PV) modeling for various plane-of-array (POA) representations. This paper demonstrates that a POA TMY generated with corresponding POA irradiance time-series information produces significantly different results than a POA TMY generated by transposing a TMY data set. In some months, the differences can be more than 3%. These results point to the need for generating TMYs using POA irradiance time series representing the orientation at which PV panels will be deployed.

AB - A typical meteorological year (TMY) essentially represents an hourly compilation of median months constructed using multiyear data sets. Although TMYs are generated from global horizontal irradiance, they are used in photovoltaic (PV) modeling for various plane-of-array (POA) representations. This paper demonstrates that a POA TMY generated with corresponding POA irradiance time-series information produces significantly different results than a POA TMY generated by transposing a TMY data set. In some months, the differences can be more than 3%. These results point to the need for generating TMYs using POA irradiance time series representing the orientation at which PV panels will be deployed.

KW - National Solar Radiation Database

KW - NSRDB

KW - photovoltaic

KW - plane of array

KW - POA

KW - PV

KW - TMY

KW - typical meteorological year

M3 - Paper

T2 - 46th IEEE Photovoltaic Specialists Conference (PVSC 46)

Y2 - 16 June 2019 through 21 June 2019

ER -

The Case for Custom TMYs: Examples Using the NSRDB: Preprint

Abstract

Conference

Bibliographical note

NREL Publication Number

Keywords

UN SDGs

Access to Document

Fingerprint

Cite this