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Advanced Pressure Compensation in High Accuracy NDIR Sensors for Environmental Studies
Mid Sweden University, Faculty of Science, Technology and Media, Department of Engineering, Mathematics, and Science Education (2023-). Senseair AB, Delsbo, Sweden.ORCID iD: 0000-0002-8409-4803
Senseair AB, Delsbo, Sweden.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Engineering, Mathematics, and Science Education (2023-).ORCID iD: 0000-0003-3769-8492
Mid Sweden University, Faculty of Science, Technology and Media, Department of Engineering, Mathematics, and Science Education (2023-).
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2023 (English)In: Sensors, E-ISSN 1424-8220, Vol. 23, no 5, article id 2872Article in journal (Refereed) Published
Abstract [en]

Measurements of atmospheric gas concentrations using of NDIR gas sensors requires compensation of ambient pressure variations to achieve reliable result. The extensively used general correction method is based on collecting data for varying pressures for a single reference concentration. This one-dimensional compensation approach is valid for measurements carried out in gas concentrations close to reference concentration but will introduce significant errors for concentrations further away from the calibration point. For applications, requiring high accuracy, collecting, and storing calibration data at several reference concentrations can reduce the error. However, this method will cause higher demands on memory capacity and computational power, which is problematic for cost sensitive applications. We present here an advanced, but practical, algorithm for compensation of environmental pressure variations for relatively low-cost/high resolution NDIR systems. The algorithm consists of a two-dimensional compensation procedure, which widens the valid pressure and concentrations range but with a minimal need to store calibration data, compared to the general one-dimensional compensation method based on a single reference concentration. The implementation of the presented two-dimensional algorithm was verified at two independent concentrations. The results show a reduction in the compensation error from 5.1% and 7.3%, for the one-dimensional method, to −0.02% and 0.83% for the two-dimensional algorithm. In addition, the presented two-dimensional algorithm only requires calibration in four reference gases and the storing of four sets of polynomial coefficients used for calculations. 

Place, publisher, year, edition, pages
2023. Vol. 23, no 5, article id 2872
Keywords [en]
carbon dioxide, compensation, NDIR, pressure, sensor
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:miun:diva-47916DOI: 10.3390/s23052872ISI: 000946949900001Scopus ID: 2-s2.0-85149785993OAI: oai:DiVA.org:miun-47916DiVA, id: diva2:1745015
Available from: 2023-03-21 Created: 2023-03-21 Last updated: 2025-09-25Bibliographically approved
In thesis
1. Implementation of NDIR technology for selective sensing of gases with common absorption spectra
Open this publication in new window or tab >>Implementation of NDIR technology for selective sensing of gases with common absorption spectra
2025 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Sensing gas concentrations using optical absorption offers valuable advantages over other methods in a wide variety of real-world applications from industrial processes to environmental monitoring. Among the fastest growing developing detection techniques on the global market is the nondispersive infrared method (NDIR). Sensors developed based on this principle meet the increasing demand for low-cost, reliable and long-term maintenance-free solutions. In recent years, key technological components such as light sources, photodetectors, optical cavities, and electronic elements have seen rapid advancements. These improvements have significantly enhanced accuracy, sensitivity, and resolution, thereby broadening the scope of applications.

Despite these benefits, the NDIR technique has inherent limitations rooted in both fundamental physical principles and sensor design constraints. Among the most important interfering factors to investigate are variations in the sensing environment´s temperature and pressure, the presence of water vapour, and the aging of sensor components. Each of these can introduce measurement errors by affecting the sensor´s internal components and the physical properties of the surrounding environment. The correct interpretation of error sources is one the most difficult and important tasks involved in designing stable, high-precision sensors.

A defining characteristic of NDIR sensing is the relationship between light transmittance and the number of absorbing molecules. Any gas molecules within the optical path of the sensor that exhibit infrared absorption will absorb incident radiation. When equipped with an interference filter that selects a specific spectral band, an NDIR sensor can estimate the concentration of a target gas that absorbs within that band. The total absorption within the selected spectral range is then translated into a concentration value.

However, if absorption lines of multiple gas species overlap within the same spectral band, it becomes impossible to selectively determine the concentration of a specific gas. This lack of selectivity is a major limitation of the NDIR method.

Water vapour, in particular, poses a significant challenge, as its absorption lines appear across nearly the entire infrared spectrum relevant to NDIR sensing. This greatly restricts the method´s applicability in environmental measurements, where water vapour is almost always present.

The overarching research goal is to develop a solution for selectively estimating the concentration of a target gas in mixtures where other gases have overlapping absorption lines. Within this context, the more specific objective is to accurately determine the true concentration on methane (CH4) under environmental conditions, where it is continuously mixed with water vapour. This serves as a representative but challenging example of gas pairs with overlapping spectra.

To address this, several designs of multichannel NDIR sensors were developed and refined to improve selectivity. In support of this effort, a advance system was also built, incorporating calibration test equipment, supporting software, and a robust selection algorithm.

Key findings from the study include an advanced compensation method for pressure-induced errors and a novel technique for selective concentration measurement of gases with overlapping absorption spectra.

Place, publisher, year, edition, pages
Sundsvall: Mid Sweden University, 2025. p. 102
Series
Mid Sweden University doctoral thesis, ISSN 1652-893X ; 430
Keywords
NDIR, methane, water vapour, spectroscopy, calibration and compensation, spectral selectivity
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:miun:diva-54385 (URN)978-91-90017-25-8 (ISBN)
Public defence
2025-06-10, O111, Holmgatan 10, Sundsvall, 10:00 (English)
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Available from: 2025-05-09 Created: 2025-05-09 Last updated: 2025-09-25Bibliographically approved

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Gaynullin, BakhramHummelgård, ChristineMattsson, ClaesThungström, Göran

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