Low-Cost IoT System Prototype to Detect Supbotimal Conditions in PV Arrays

Leonardo Cardinale-Villalobos; Luis D. Murillo-Soto; Rubén Brenes

doi:10.1007/978-3-031-85324-1_1

Low-Cost IoT System Prototype to Detect Supbotimal Conditions in PV Arrays

Costa Rica Institute of Technology

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

Abstract

A key challenge in the development of smart cities is optimizing the utilization of energy generated by photovoltaic (PV) systems using accessible and low-cost technologies. This research presents a prototype of IoT platform with a total cost of 44 dollars, which employs a mathematical model based on artificial intelligence to detect suboptimal conditions by comparing the theoretical daily energy with the actual energy generated in a PV installation. The platform also incorporates remote visualization and analysis functionalities, facilitating its use and management. Its experimental validation demonstrated that, as a prototype, this type of solution can automatically and accurately identify suboptimal conditions in PV installations. This solution is not only suitable for small and medium-sized systems but is also scalable for integration into smart city energy networks, promoting a more efficient and resilient urban infrastructure through effective preventive maintenance.

Original language	English
Title of host publication	Smart Cities - 7th Ibero-American Congress, ICSC-CITIES 2024, Revised Selected Papers
Editors	Sergio Nesmachnow, Luis Hernández Callejo
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	3-17
Number of pages	15
ISBN (Print)	9783031853234
DOIs	https://doi.org/10.1007/978-3-031-85324-1_1
State	Published - 2025
Event	7th Ibero-American Congress on Smart Cities, ICSC-Cities 2024 - San Carlos, Costa Rica Duration: 12 Nov 2024 → 14 Nov 2024

Publication series

Name	Communications in Computer and Information Science
Volume	2394 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	7th Ibero-American Congress on Smart Cities, ICSC-Cities 2024
Country/Territory	Costa Rica
City	San Carlos
Period	12/11/24 → 14/11/24

UN SDGs

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

SDG 7 Affordable and Clean Energy
SDG 11 Sustainable Cities and Communities

Keywords

Fault Detection Technique
Internet of things platform
Photovoltaic

Access to Document

10.1007/978-3-031-85324-1_1

Cite this

Cardinale-Villalobos, L., Murillo-Soto, L. D., & Brenes, R. (2025). Low-Cost IoT System Prototype to Detect Supbotimal Conditions in PV Arrays. In S. Nesmachnow, & L. Hernández Callejo (Eds.), Smart Cities - 7th Ibero-American Congress, ICSC-CITIES 2024, Revised Selected Papers (pp. 3-17). (Communications in Computer and Information Science; Vol. 2394 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-85324-1_1

Cardinale-Villalobos, Leonardo ; Murillo-Soto, Luis D. ; Brenes, Rubén. / Low-Cost IoT System Prototype to Detect Supbotimal Conditions in PV Arrays. Smart Cities - 7th Ibero-American Congress, ICSC-CITIES 2024, Revised Selected Papers. editor / Sergio Nesmachnow ; Luis Hernández Callejo. Springer Science and Business Media Deutschland GmbH, 2025. pp. 3-17 (Communications in Computer and Information Science).

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Cardinale-Villalobos, L , Murillo-Soto, LD & Brenes, R 2025, Low-Cost IoT System Prototype to Detect Supbotimal Conditions in PV Arrays. in S Nesmachnow & L Hernández Callejo (eds), Smart Cities - 7th Ibero-American Congress, ICSC-CITIES 2024, Revised Selected Papers. Communications in Computer and Information Science, vol. 2394 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 3-17, 7th Ibero-American Congress on Smart Cities, ICSC-Cities 2024, San Carlos, Costa Rica, 12/11/24. https://doi.org/10.1007/978-3-031-85324-1_1

Low-Cost IoT System Prototype to Detect Supbotimal Conditions in PV Arrays. / Cardinale-Villalobos, Leonardo ; Murillo-Soto, Luis D.; Brenes, Rubén.
Smart Cities - 7th Ibero-American Congress, ICSC-CITIES 2024, Revised Selected Papers. ed. / Sergio Nesmachnow; Luis Hernández Callejo. Springer Science and Business Media Deutschland GmbH, 2025. p. 3-17 (Communications in Computer and Information Science; Vol. 2394 CCIS).

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

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AB - A key challenge in the development of smart cities is optimizing the utilization of energy generated by photovoltaic (PV) systems using accessible and low-cost technologies. This research presents a prototype of IoT platform with a total cost of 44 dollars, which employs a mathematical model based on artificial intelligence to detect suboptimal conditions by comparing the theoretical daily energy with the actual energy generated in a PV installation. The platform also incorporates remote visualization and analysis functionalities, facilitating its use and management. Its experimental validation demonstrated that, as a prototype, this type of solution can automatically and accurately identify suboptimal conditions in PV installations. This solution is not only suitable for small and medium-sized systems but is also scalable for integration into smart city energy networks, promoting a more efficient and resilient urban infrastructure through effective preventive maintenance.

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Cardinale-Villalobos L , Murillo-Soto LD, Brenes R. Low-Cost IoT System Prototype to Detect Supbotimal Conditions in PV Arrays. In Nesmachnow S, Hernández Callejo L, editors, Smart Cities - 7th Ibero-American Congress, ICSC-CITIES 2024, Revised Selected Papers. Springer Science and Business Media Deutschland GmbH. 2025. p. 3-17. (Communications in Computer and Information Science). doi: 10.1007/978-3-031-85324-1_1