The Case for Custom TMY's: Examples Using the NSRDB

Aron Habte; Manajit Sengupta; Janine Keith

doi:10.1109/PVSC40753.2019.8980811

The Case for Custom TMY's: Examples Using the NSRDB

Aron Habte, Manajit Sengupta, Janine Keith

Research output: Contribution to conference › Paper › peer-review

1 Scopus Citations

Abstract

A typical meteorological year (TMY) data set essentially represents an hourly compilation of median months constructed using multi-year datasets. Although TMY data sets are generated from irradiance data in the horizontal plane, they are used in photovoltaic (PV) modeling for systems inclined to various angles. This paper demonstrates that a POA TMY (plane of array TMY) generated by selecting median months from a multi-year POA irradiance timeseries dataset produces significantly different results than a POA TMY generated by transposing a TMY dataset constructed from horizontal data. In some months the differences can be more than 3%. These results point to the need for generating TMY's using POA irradiance timeseries representing the orientation at which PV panels will be deployed.

Original language	American English
Pages	2287-2292
Number of pages	6
DOIs	https://doi.org/10.1109/PVSC40753.2019.8980811 https://doi.org/10.1109/PVSC40753.2019.8980811
State	Published - Jun 2019
Event	46th IEEE Photovoltaic Specialists Conference, PVSC 2019 - Chicago, United States Duration: 16 Jun 2019 → 21 Jun 2019

Conference

Conference	46th IEEE Photovoltaic Specialists Conference, PVSC 2019
Country/Territory	United States
City	Chicago
Period	16/06/19 → 21/06/19

Bibliographical note

See NREL/CP-5D00-74063 for preprint

NREL Publication Number

NREL/CP-5D00-76337

Keywords

latitude tilt
NSRDB
plane of array
POA
single-axis tracking
TGPY
TPY
typical GHI-based POA year
typical meteorological year
typical POA year

UN SDGs

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

Access to Document

Cite this

@conference{c8304a0013b042a7a315730f8247183d,

title = "The Case for Custom TMY's: Examples Using the NSRDB",

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

keywords = "latitude tilt, NSRDB, plane of array, POA, single-axis tracking, TGPY, TPY, typical GHI-based POA year, typical meteorological year, typical POA year",

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

note = "See NREL/CP-5D00-74063 for preprint; 46th IEEE Photovoltaic Specialists Conference, PVSC 2019 ; Conference date: 16-06-2019 Through 21-06-2019",

year = "2019",

month = jun,

doi = "10.1109/PVSC40753.2019.8980811",

language = "American English",

pages = "2287--2292",

}

TY - CONF

T1 - The Case for Custom TMY's: Examples Using the NSRDB

AU - Habte, Aron

AU - Sengupta, Manajit

AU - Keith, Janine

N1 - See NREL/CP-5D00-74063 for preprint

PY - 2019/6

Y1 - 2019/6

N2 - A typical meteorological year (TMY) data set essentially represents an hourly compilation of median months constructed using multi-year datasets. Although TMY data sets are generated from irradiance data in the horizontal plane, they are used in photovoltaic (PV) modeling for systems inclined to various angles. This paper demonstrates that a POA TMY (plane of array TMY) generated by selecting median months from a multi-year POA irradiance timeseries dataset produces significantly different results than a POA TMY generated by transposing a TMY dataset constructed from horizontal data. In some months the differences can be more than 3%. These results point to the need for generating TMY's using POA irradiance timeseries representing the orientation at which PV panels will be deployed.

AB - A typical meteorological year (TMY) data set essentially represents an hourly compilation of median months constructed using multi-year datasets. Although TMY data sets are generated from irradiance data in the horizontal plane, they are used in photovoltaic (PV) modeling for systems inclined to various angles. This paper demonstrates that a POA TMY (plane of array TMY) generated by selecting median months from a multi-year POA irradiance timeseries dataset produces significantly different results than a POA TMY generated by transposing a TMY dataset constructed from horizontal data. In some months the differences can be more than 3%. These results point to the need for generating TMY's using POA irradiance timeseries representing the orientation at which PV panels will be deployed.

KW - latitude tilt

KW - NSRDB

KW - plane of array

KW - POA

KW - single-axis tracking

KW - TGPY

KW - TPY

KW - typical GHI-based POA year

KW - typical meteorological year

KW - typical POA year

UR - http://www.scopus.com/inward/record.url?scp=85081610526&partnerID=8YFLogxK

U2 - 10.1109/PVSC40753.2019.8980811

DO - 10.1109/PVSC40753.2019.8980811

M3 - Paper

AN - SCOPUS:85081610526

SP - 2287

EP - 2292

T2 - 46th IEEE Photovoltaic Specialists Conference, PVSC 2019

Y2 - 16 June 2019 through 21 June 2019

ER -

The Case for Custom TMY's: Examples Using the NSRDB

Abstract

Conference

Bibliographical note

NREL Publication Number

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this