Detection of Suboptimal Conditions in Photovoltaic Installations for Household-Prosumers

Dalberth Corrales; Leonardo Cardinale-Villalobos; Carlos Meza; Luis Diego Murillo-Soto

doi:10.1007/978-3-030-78901-5_3

Detection of Suboptimal Conditions in Photovoltaic Installations for Household-Prosumers

Costa Rica Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Advancements in photovoltaics and information technology makes it possible for cities to produce a fraction, if not everything, of the electrical power they require. Power generation in cities can be mainly achieved by photovoltaic installations located in the roofs of houses and buildings unevenly distributed among large areas. Suboptimal conditions such as soling, partial shadowing and electrical faults, are common in PV installations, decreasing their efficiency. It is advisable to detect when these suboptimal conditions occur to correct them and improve the overall performance of the PV installation. Nevertheless, the majority of suboptimal-detection techniques reported in the literature only consider large PV systems, neglecting rooftop PV installations. In this paper a low-cost embedded system suitable for detecting suboptimal conditions in small PV installation is presented. This system was validated for the detection of partial shadow that may occur due to strange objects in a specific region of the PV array. The system obtained a sensitivity of 87%, specificity of 87.9% and accuracy of 87.6%.

Original language	English
Title of host publication	Sustainable Smart Cities and Territories
Editors	Juan M. Corchado, Saber Trabelsi
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	26-36
Number of pages	11
ISBN (Print)	9783030789008
DOIs	https://doi.org/10.1007/978-3-030-78901-5_3
State	Published - 2022
Event	Sustainable Smart Cities and Territories International Conference, SSCT 2021 - Doha, Qatar Duration: 27 Apr 2021 → 29 Apr 2021

Publication series

Name	Lecture Notes in Networks and Systems
Volume	253
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	Sustainable Smart Cities and Territories International Conference, SSCT 2021
Country/Territory	Qatar
City	Doha
Period	27/04/21 → 29/04/21

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Embedded systems
Fault detection
PV prosumers
Partial shading
Soiling

Access to Document

10.1007/978-3-030-78901-5_3

Cite this

Corrales, D., Cardinale-Villalobos, L., Meza, C., & Murillo-Soto, L. D. (2022). Detection of Suboptimal Conditions in Photovoltaic Installations for Household-Prosumers. In J. M. Corchado, & S. Trabelsi (Eds.), Sustainable Smart Cities and Territories (pp. 26-36). (Lecture Notes in Networks and Systems; Vol. 253). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-78901-5_3

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title = "Detection of Suboptimal Conditions in Photovoltaic Installations for Household-Prosumers",

abstract = "Advancements in photovoltaics and information technology makes it possible for cities to produce a fraction, if not everything, of the electrical power they require. Power generation in cities can be mainly achieved by photovoltaic installations located in the roofs of houses and buildings unevenly distributed among large areas. Suboptimal conditions such as soling, partial shadowing and electrical faults, are common in PV installations, decreasing their efficiency. It is advisable to detect when these suboptimal conditions occur to correct them and improve the overall performance of the PV installation. Nevertheless, the majority of suboptimal-detection techniques reported in the literature only consider large PV systems, neglecting rooftop PV installations. In this paper a low-cost embedded system suitable for detecting suboptimal conditions in small PV installation is presented. This system was validated for the detection of partial shadow that may occur due to strange objects in a specific region of the PV array. The system obtained a sensitivity of 87\%, specificity of 87.9\% and accuracy of 87.6\%.",

keywords = "Embedded systems, Fault detection, PV prosumers, Partial shading, Soiling",

author = "Dalberth Corrales and Leonardo Cardinale-Villalobos and Carlos Meza and Murillo-Soto, \{Luis Diego\}",

note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; Sustainable Smart Cities and Territories International Conference, SSCT 2021 ; Conference date: 27-04-2021 Through 29-04-2021",

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Corrales, D, Cardinale-Villalobos, L , Meza, C & Murillo-Soto, LD 2022, Detection of Suboptimal Conditions in Photovoltaic Installations for Household-Prosumers. in JM Corchado & S Trabelsi (eds), Sustainable Smart Cities and Territories. Lecture Notes in Networks and Systems, vol. 253, Springer Science and Business Media Deutschland GmbH, pp. 26-36, Sustainable Smart Cities and Territories International Conference, SSCT 2021, Doha, Qatar, 27/04/21. https://doi.org/10.1007/978-3-030-78901-5_3

Detection of Suboptimal Conditions in Photovoltaic Installations for Household-Prosumers. / Corrales, Dalberth; Cardinale-Villalobos, Leonardo ; Meza, Carlos et al.
Sustainable Smart Cities and Territories. ed. / Juan M. Corchado; Saber Trabelsi. Springer Science and Business Media Deutschland GmbH, 2022. p. 26-36 (Lecture Notes in Networks and Systems; Vol. 253).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Detection of Suboptimal Conditions in Photovoltaic Installations for Household-Prosumers

AU - Corrales, Dalberth

AU - Cardinale-Villalobos, Leonardo

AU - Meza, Carlos

AU - Murillo-Soto, Luis Diego

PY - 2022

Y1 - 2022

N2 - Advancements in photovoltaics and information technology makes it possible for cities to produce a fraction, if not everything, of the electrical power they require. Power generation in cities can be mainly achieved by photovoltaic installations located in the roofs of houses and buildings unevenly distributed among large areas. Suboptimal conditions such as soling, partial shadowing and electrical faults, are common in PV installations, decreasing their efficiency. It is advisable to detect when these suboptimal conditions occur to correct them and improve the overall performance of the PV installation. Nevertheless, the majority of suboptimal-detection techniques reported in the literature only consider large PV systems, neglecting rooftop PV installations. In this paper a low-cost embedded system suitable for detecting suboptimal conditions in small PV installation is presented. This system was validated for the detection of partial shadow that may occur due to strange objects in a specific region of the PV array. The system obtained a sensitivity of 87%, specificity of 87.9% and accuracy of 87.6%.

AB - Advancements in photovoltaics and information technology makes it possible for cities to produce a fraction, if not everything, of the electrical power they require. Power generation in cities can be mainly achieved by photovoltaic installations located in the roofs of houses and buildings unevenly distributed among large areas. Suboptimal conditions such as soling, partial shadowing and electrical faults, are common in PV installations, decreasing their efficiency. It is advisable to detect when these suboptimal conditions occur to correct them and improve the overall performance of the PV installation. Nevertheless, the majority of suboptimal-detection techniques reported in the literature only consider large PV systems, neglecting rooftop PV installations. In this paper a low-cost embedded system suitable for detecting suboptimal conditions in small PV installation is presented. This system was validated for the detection of partial shadow that may occur due to strange objects in a specific region of the PV array. The system obtained a sensitivity of 87%, specificity of 87.9% and accuracy of 87.6%.

KW - Embedded systems

KW - Fault detection

KW - PV prosumers

KW - Partial shading

KW - Soiling

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M3 - Contribución a la conferencia

AN - SCOPUS:85113426963

SN - 9783030789008

T3 - Lecture Notes in Networks and Systems

SP - 26

EP - 36

BT - Sustainable Smart Cities and Territories

A2 - Corchado, Juan M.

A2 - Trabelsi, Saber

PB - Springer Science and Business Media Deutschland GmbH

T2 - Sustainable Smart Cities and Territories International Conference, SSCT 2021

Y2 - 27 April 2021 through 29 April 2021

ER -

Corrales D, Cardinale-Villalobos L , Meza C , Murillo-Soto LD. Detection of Suboptimal Conditions in Photovoltaic Installations for Household-Prosumers. In Corchado JM, Trabelsi S, editors, Sustainable Smart Cities and Territories. Springer Science and Business Media Deutschland GmbH. 2022. p. 26-36. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-030-78901-5_3

Detection of Suboptimal Conditions in Photovoltaic Installations for Household-Prosumers

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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Cite this