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Title: The Impact of Plane-of-Array-Based TMYs on Solar Resource for PV Applications: Preprint

Abstract

This study attempts to apprise stakeholders about the accurate use of a typical meteorological year (TMY) data set for decision-making that could potentially speed up the acceptance and deployment of projects and reduce risks to financiers and developers. A TMY data set represents hourly concatenation of 12 typical meteorological months constructed using multiyear data sets. Typically, TMY data sets are constructed under horizonal irradiance conditions that are then used in photovoltaic (PV) performance models for available energy calculations in a location after transposing the data to represent a desired plane-of-array (POA) orientation. In this study, we attempt to show 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% for irradiance and energy yield. These results point to the need for generating TMY data sets using POA irradiance time series representing the orientation at which PV panels will be deployed.

Authors:
ORCiD logo [1];  [1]
  1. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S)
OSTI Identifier:
1571441
Report Number(s):
NREL/CP-5D00-74768
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Conference
Resource Relation:
Conference: Presented at the 2019 European Photovoltaic Specialists Conference (EU PVSEC), 9-13 September 2019, Marseille, France
Country of Publication:
United States
Language:
English
Subject:
14 SOLAR ENERGY; 24 POWER TRANSMISSION AND DISTRIBUTION; typical meteorological year; TMY; typical GHI year; TGY; GHI; global horizontal irradiance; National Solar Radiation Database; NSRDB; plane of array; POA

Citation Formats

Sengupta, Manajit, and Habte, Aron M. The Impact of Plane-of-Array-Based TMYs on Solar Resource for PV Applications: Preprint. United States: N. p., 2019. Web.
Sengupta, Manajit, & Habte, Aron M. The Impact of Plane-of-Array-Based TMYs on Solar Resource for PV Applications: Preprint. United States.
Sengupta, Manajit, and Habte, Aron M. Wed . "The Impact of Plane-of-Array-Based TMYs on Solar Resource for PV Applications: Preprint". United States. https://www.osti.gov/servlets/purl/1571441.
@article{osti_1571441,
title = {The Impact of Plane-of-Array-Based TMYs on Solar Resource for PV Applications: Preprint},
author = {Sengupta, Manajit and Habte, Aron M},
abstractNote = {This study attempts to apprise stakeholders about the accurate use of a typical meteorological year (TMY) data set for decision-making that could potentially speed up the acceptance and deployment of projects and reduce risks to financiers and developers. A TMY data set represents hourly concatenation of 12 typical meteorological months constructed using multiyear data sets. Typically, TMY data sets are constructed under horizonal irradiance conditions that are then used in photovoltaic (PV) performance models for available energy calculations in a location after transposing the data to represent a desired plane-of-array (POA) orientation. In this study, we attempt to show 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% for irradiance and energy yield. These results point to the need for generating TMY data sets using POA irradiance time series representing the orientation at which PV panels will be deployed.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {10}
}

Conference:
Other availability
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