Analysis of Monitoring Strategies for Photovoltaic Water Pumping Systems in Low-Income Remote Areas

Photovoltaic water pumping systems (PVWPS) can greatly enhance access to clean water in rural and low-income regions of sub-Saharan Africa, thereby contributing to improved health and well-being. PVWPS monitoring can significantly help for effective operation and performance, with continuous monitoring providing comprehensive data. However, there is a lack of detailed feedback on the long-term effects of continuous monitoring. This article addresses this gap by presenting a five-year case study of continuous monitoring on a PVWPS in Gogma, Burkina Faso, and by analyzing the benefits and challenges associated with such extended monitoring. We also detail the technical decisions involved in designing a robust data acquisition system (DAS) and highlight the academic contributions enabled by the five-year dataset obtained, including the development of machine learning algorithms for detecting module cleaning. Despite the clear benefits in terms of scientific research, significant challenges associated with continuous long-term monitoring have been identified, including logistical difficulties, financial constraints, and maintenance issues of DAS in remote areas. To mitigate these challenges, we suggest implementing a periodic monitoring approach, with annual or bi-annual site visits by trained technicians. This method is aimed at local practitioners, retaining the benefits of data collection while reducing costs and logistical burdens, making it suitable for practical (non-research) applications in resource-constrained environments.

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Published
2024-11-27
DOI
https://doi.org/10.1109/ihtc61819.2024.10855120
Citations
1
Primary Topic
Smart Grid Energy Management
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article
Field-Weighted Citation Impact
0.21
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Analysis of Monitoring Strategies for Photovoltaic Water Pumping Systems in Low-Income Remote Areas

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article

Analysis of Monitoring Strategies for Photovoltaic Water Pumping Systems in Low-Income Remote Areas

Thomas Vezin, Simon Meunier, Judith A. Cherni, Loïc Quéval, Arouna Darga, Matthias Heinrich, Ange Sahuquet, Séverin Darga
article en
1 citations

Abstract

Photovoltaic water pumping systems (PVWPS) can greatly enhance access to clean water in rural and low-income regions of sub-Saharan Africa, thereby contributing to improved health and well-being. PVWPS monitoring can significantly help for effective operation and performance, with continuous monitoring providing comprehensive data. However, there is a lack of detailed feedback on the long-term effects of continuous monitoring. This article addresses this gap by presenting a five-year case study of continuous monitoring on a PVWPS in Gogma, Burkina Faso, and by analyzing the benefits and challenges associated with such extended monitoring. We also detail the technical decisions involved in designing a robust data acquisition system (DAS) and highlight the academic contributions enabled by the five-year dataset obtained, including the development of machine learning algorithms for detecting module cleaning. Despite the clear benefits in terms of scientific research, significant challenges associated with continuous long-term monitoring have been identified, including logistical difficulties, financial constraints, and maintenance issues of DAS in remote areas. To mitigate these challenges, we suggest implementing a periodic monitoring approach, with annual or bi-annual site visits by trained technicians. This method is aimed at local practitioners, retaining the benefits of data collection while reducing costs and logistical burdens, making it suitable for practical (non-research) applications in resource-constrained environments.

Centre National de la Recherche Scientifique (FR), École Polytechnique (FR), Chimie ParisTech - PSL (FR), Université Paris-Saclay (FR), Laboratoire de Génie Électrique et Électronique de Paris (FR), Sorbonne Université (FR), CentraleSupélec (FR), Direction Générale de la Pharmacie, du Médicament et des Laboratoires (BF), Institut Polytechnique de Paris (FR), Imperial College London (GB), École Polytechnique Fédérale de Lausanne (CH)
Openalex Percentile: Top 44%
Smart Grid Energy Management
0.21
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