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Title:
 
The Impact of Plane-of-Array Based TMY Data Sets on Solar Resource for PV Applications
 
Author(s):
 
M. Sengupta, A. Habte
 
Keywords:
 
NSRDB, TMY, TGY, TPY, TGPY, POA
 
Topic:
 
PV Systems and Storage – Modelling, Design, Operation and Performance
Subtopic: Solar Resource and Forecasting
Event: 36th European Photovoltaic Solar Energy Conference and Exhibition
Session: 5DO.1.6
 
Pages:
 
1399 - 1402
ISBN: 3-936338-60-4
Paper DOI: 10.4229/EUPVSEC20192019-5DO.1.6
 
Price:
 
 
0,00 EUR
 
Document(s): paper
 

Abstract/Summary:


This study attempts to apprise stakeholders of 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.