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Title: RdTools: An Open Source Python Library for PV Degradation Analysis

Abstract

RdTools is a set of Python tools for analysis of photovoltaic data. In particular, PV production data is evaluated over several years to obtain rates of performance degradation over time. Rdtools can handle both high frequency (hourly or better) or low frequency (daily, weekly, etc.) datasets. Best results are obtained with higher frequency data.

Authors:
 [1];  [1];  [1]; ORCiD logo [1];  [2]
  1. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
  2. kWh Analytics
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:
1436856
Report Number(s):
NREL/PR-5K00-71468
DOE Contract Number:
AC36-08GO28308
Resource Type:
Conference
Resource Relation:
Conference: Presented at PV Systems Symposium, 1-3 May 2018, Albuquerque, New Mexico
Country of Publication:
United States
Language:
English
Subject:
14 SOLAR ENERGY; 71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; python; solar; photovoltaic; PV; models; measurement; PV energy; power time series; expanded analysis; open source; kWh; GitHub; irradiance; temperature; clipping

Citation Formats

Deceglie, Michael G, Jordan, Dirk, Nag, Ambarish, Deline, Christopher A, and Shinn, Adam. RdTools: An Open Source Python Library for PV Degradation Analysis. United States: N. p., 2018. Web.
Deceglie, Michael G, Jordan, Dirk, Nag, Ambarish, Deline, Christopher A, & Shinn, Adam. RdTools: An Open Source Python Library for PV Degradation Analysis. United States.
Deceglie, Michael G, Jordan, Dirk, Nag, Ambarish, Deline, Christopher A, and Shinn, Adam. Fri . "RdTools: An Open Source Python Library for PV Degradation Analysis". United States. doi:. https://www.osti.gov/servlets/purl/1436856.
@article{osti_1436856,
title = {RdTools: An Open Source Python Library for PV Degradation Analysis},
author = {Deceglie, Michael G and Jordan, Dirk and Nag, Ambarish and Deline, Christopher A and Shinn, Adam},
abstractNote = {RdTools is a set of Python tools for analysis of photovoltaic data. In particular, PV production data is evaluated over several years to obtain rates of performance degradation over time. Rdtools can handle both high frequency (hourly or better) or low frequency (daily, weekly, etc.) datasets. Best results are obtained with higher frequency data.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri May 04 00:00:00 EDT 2018},
month = {Fri May 04 00:00:00 EDT 2018}
}

Conference:
Other availability
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