BRIEF RESEARCH REPORT article

Front. Sustain. Cities

Sec. Climate Change and Cities

Harnessing solar to power lower-cost air quality sensors

  • 1. University of Aberdeen, Aberdeen, United Kingdom

  • 2. University of Stirling Division of Biological and Environmental Sciences, Stirling, United Kingdom

  • 3. University of Stirling, Stirling, United Kingdom

  • 4. Scotswolds Ltd., Stirling, United Kingdom

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Abstract

Air quality monitoring networks are essential for characterising spatial and temporal patterns in air pollution concentrations that inform the management of population exposure, but are often spatially sparse, limiting their ability to capture hyperlocal variation in air pollution. Lower-cost air quality sensors are increasingly used to address this challenge by complementing regulatory networks where they exist, extending monitoring into under-represented locations where monitoring is sparse, and establishing networks where monitoring is non-existent. However, deploying such sensors in practice frequently requires bespoke, context-responsive system configurations, particularly where access to power and infrastructure is limited. By deploying a lower-cost particulate matter sensor in a high-latitude context characterised by strong seasonal variability, using a customised solar-powered configuration, the paper consolidates practical considerations for the design and deployment of an off-grid air quality monitoring system, highlighting how design decisions, system trade-offs, and deployment processes could be adapted depending on context. While solar-powered systems can support hyperlocal monitoring, performance and scalability are shaped by seasonal variability, energy storage and charge-control limitations, connectivity-related power demand, siting constraints, and resilience to power interruptions. Deployment also highlighted institutional and governance considerations, including permissions, public space management, and ongoing maintenance burden. Synthesised practical considerations and recommendations are presented to inform the design and deployment of autonomous sensor networks capable of supporting hyperlocal air quality assessment, targeted mitigation, and more actionable decision-making.

Summary

Keywords

Air Pollution, Air Quality, Hyperlocal air monitoring, Low cost sensor/monitor, solar energy (photovoltaic systems

Received

15 December 2025

Accepted

09 February 2026

Copyright

© 2026 McCarron, Semple, Blake, Balfour, Mills and Price. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Amy McCarron

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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