Graph Theory-Based Characterization and Classification of Household Photovoltaics

With the clear goal of improving photovoltaic (PV) technology performance towards nearly-zero energy buildings, a graph theory-based model that characterizes photovoltaic panel structures is developed. An algorithm to obtain all possible configurations of a given number of PV panels is presented and...

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Autores principales:	Jesús M. Ceresuela, Daniel Chemisana, Nacho López
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	graph theory network reliability PV systems expected value of power household photovoltaics Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/03dcff23493248178d45fe6a280d866b
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id	oai:doaj.org-article:03dcff23493248178d45fe6a280d866b
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spelling	oai:doaj.org-article:03dcff23493248178d45fe6a280d866b2021-11-25T16:42:45ZGraph Theory-Based Characterization and Classification of Household Photovoltaics10.3390/app1122109992076-3417https://doaj.org/article/03dcff23493248178d45fe6a280d866b2021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/22/10999https://doaj.org/toc/2076-3417With the clear goal of improving photovoltaic (PV) technology performance towards nearly-zero energy buildings, a graph theory-based model that characterizes photovoltaic panel structures is developed. An algorithm to obtain all possible configurations of a given number of PV panels is presented and the results are exposed for structures using 3 to 7 panels. Two different classifications of all obtained structures are carried out: the first one regarding the maximum power they can produce and the second according to their capability to produce energy under a given probability that the solar panels will fail. Finally, both classifications are considered simultaneously through the expected value of power production. This creates structures that are, at the same time, reliable and efficient in terms of production. The parallel associations turn out to be optimal, but some other less expected configurations prove to be rated high.Jesús M. CeresuelaDaniel ChemisanaNacho LópezMDPI AGarticlegraph theorynetwork reliabilityPV systemsexpected value of powerhousehold photovoltaicsTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10999, p 10999 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	graph theory network reliability PV systems expected value of power household photovoltaics Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	graph theory network reliability PV systems expected value of power household photovoltaics Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Jesús M. Ceresuela Daniel Chemisana Nacho López Graph Theory-Based Characterization and Classification of Household Photovoltaics
description	With the clear goal of improving photovoltaic (PV) technology performance towards nearly-zero energy buildings, a graph theory-based model that characterizes photovoltaic panel structures is developed. An algorithm to obtain all possible configurations of a given number of PV panels is presented and the results are exposed for structures using 3 to 7 panels. Two different classifications of all obtained structures are carried out: the first one regarding the maximum power they can produce and the second according to their capability to produce energy under a given probability that the solar panels will fail. Finally, both classifications are considered simultaneously through the expected value of power production. This creates structures that are, at the same time, reliable and efficient in terms of production. The parallel associations turn out to be optimal, but some other less expected configurations prove to be rated high.
format	article
author	Jesús M. Ceresuela Daniel Chemisana Nacho López
author_facet	Jesús M. Ceresuela Daniel Chemisana Nacho López
author_sort	Jesús M. Ceresuela
title	Graph Theory-Based Characterization and Classification of Household Photovoltaics
title_short	Graph Theory-Based Characterization and Classification of Household Photovoltaics
title_full	Graph Theory-Based Characterization and Classification of Household Photovoltaics
title_fullStr	Graph Theory-Based Characterization and Classification of Household Photovoltaics
title_full_unstemmed	Graph Theory-Based Characterization and Classification of Household Photovoltaics
title_sort	graph theory-based characterization and classification of household photovoltaics
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/03dcff23493248178d45fe6a280d866b
work_keys_str_mv	AT jesusmceresuela graphtheorybasedcharacterizationandclassificationofhouseholdphotovoltaics AT danielchemisana graphtheorybasedcharacterizationandclassificationofhouseholdphotovoltaics AT nacholopez graphtheorybasedcharacterizationandclassificationofhouseholdphotovoltaics
_version_	1718412996937515008

Graph Theory-Based Characterization and Classification of Household Photovoltaics

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