THERMAL SCIENCE

International Scientific Journal

SMART CAPACITIVE MOISTURE SENSOR CALIBRATION IN MINERAL WOOL AND GREEN ROOF SOIL SUBSTRATE

ABSTRACT
The environmental benefits of green roofs have been widely recognized. In recent years, increasing attention has been paid to moisture management in the green roof systems. The moisture in the green roof has an influence on its thermal and hydrological performances. An accurate measurement of water content in green roof substrate is important for irrigation monitoring, optimal irrigation management, and plant growth. Knowing the performance and characteristics of the sensor for the chosen substrate layer in a green roof system is essential. This paper presents laboratory calibration of the capacitive moisture sensor in two types of the green roof substrate layer. The volumetric water content of several mineral wool and soil samples, with the water content from low until saturated, were measured using the gravimetric method and related to frequency obtained by the sensor. The results have shown that the capacitive moisture sensor has a good response to water content variation.
KEYWORDS
PAPER SUBMITTED: 2020-02-17
PAPER REVISED: 2020-07-10
PAPER ACCEPTED: 2020-07-24
PUBLISHED ONLINE: 2020-08-08
DOI REFERENCE: https://doi.org/10.2298/TSCI200217228K
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2021, VOLUME 25, ISSUE Issue 3, PAGES [1827 - 1836]
REFERENCES
  1. Tan, Y., Sia A., A Pilot Green Roof Research Project in Singapore, Proceedings, 3rd North American Green Roof Conference: Greening Rooftops for Sustainable Communities, Washington DC, 2005
  2. Spalaa, A., et al., On the Green Roof System. Selection, State of the Art and Energy Potential Investigation of a System Installed in an Office Building in Athens, Greece, Renewable Energy, 33 (2008), 1, pp. 173-177
  3. Bass, B., Baskaran, B., Evaluating Rooftop and Vertical Gardens as an Adaptation Strategy for Urban Areas, National Research Council Canada, Ottawa, Canada, 2003
  4. Berghage, R. D., et al., Green Roofs for Stormwater Runoff Control, National Risk Management Research Laboratory, U.S. Environmental Protection Agency, Cincinnati, EPA/600/R-09/026, 2009
  5. Friedrich, C. R., Principles for Selecting the Proper Components for a Green Roof Growing Media, Proceedings, 3rd North American Green Roof Conference: Greening Rooftops for Sustainable Communities, Washington DC, 2005, pp. 262-273
  6. Kargas, G., et al., Water content Measurements of Green Roof Substrates Using Two Dielectric Sensors, HortTechnology, 23 (2013), 2, pp. 177-186
  7. Tapia, N., et al., A New Method for Sensing Soil Water Content in Green Roofs Using Plant Microbial Fuel Cells, Sensors, 18 (2018), 1, 71
  8. Morel, P., Michel, J.-C., Control of the Moisture Content of Growing Media by Time Domain Reflectometry (TDR), Agronomie, 24 (2004), 5, pp. 275-279
  9. Robock, A., et al., The Global Soil Moisture Data Bank, Bulletin of the American Meteorological Society, 81 (2000), 6, pp. 1281-1299
  10. Verstraeten, W. W., et al., Assessment of Evapotranspiration and Soil Water Content Across Different Scales of Observation, Sensors, 8 (2008), 1, pp. 70-117
  11. Gardner, C. M., et al., Soil Water Content, in: Soil and Environmental Analysis: Physical Methods (Eds. K. A. Smith, C. E. Mullins,), 2nd ed. Marcel Dekker, New York, USA, 2001, pp. 1-64
  12. Dobriyal, P., et al., A Review of the Methods Available for Estimating Soil Moisture and its Implications for Water Resource Management, Journal of Hydrology, 458-459 (2012), Aug., pp. 110-117
  13. Lunt, I. A., et al., Soil Water Content Estimation Using Ground Penetrating Radar Reflection Data, Journal of Hydrology, 307 (2005), 1-4, pp. 254-269
  14. Fuchs, A., et al., Using Capacitive Sensing to Determine the Water Content of Wood Pellets-Investigations and Application, International Journal on Smart Sensing and Intelligent Systems, 2 (2009), 2, pp. 293-308
  15. Barrettino, D., et al., In-Line Capacitive Moisture Sensor for Polymer Industries, Conference Record - IEEE Instrumentation and Measurement Technology Conference, Minneapolis, Minn., USA, 2013
  16. McIntosh, R. B., Casada, M. E, Fringing Field Capacitance Sensor for Measuring the Water Content of Agricultural Commodities, IEEE Sens. Journal, 8 (2008), 3, pp. 240-247
  17. Casada, M. E., Armstrong, P. A., Wheat Moisture Measurement with a Fringing Field Capacitive Sensor, Proceedings, ASABE Annual International Meeting Sponsored, Providence, R. I., USA, 2008
  18. Stephanie, E. B., van Iersel M. W, Morphology and Irrigation Efficiency of Gaura Lindheimeri Grown with Capacitance Sensor-Controlled Irrigation, Hortscience, 43 (2008), 5, pp. 1555-1560
  19. Scudiero, E., et al., Simultaneous Monitoring of Soil Water Content and Salinity with a Low-Cost Capacitance-Resistance Probe, Sensors, 12 (2012), 12, pp. 17588-17607
  20. Kizito, F., et al., Frequency, Electrical Conductivity and Temperature Analysis of a Low-Cost Capacitance Soil Moisture Sensor, Journal of Hydrology, 352 (2008), 3-4, pp. 367-378
  21. Paltineanu, I. C., Starr, J. L, Real-Time Soil Water Dynamics Using Multisensor Capacitance Probes: Laboratory Calibration, Soil Science Society of America Journal, 61 (1997), 6, pp. 1576-1585
  22. Dominguez-Nino J. M., et al., On the Accuracy of Factory-Calibrated Low-Cost Soil Water Content Sensors, Sensors, 19 (2019), July, 14
  23. ***, SRPS EN ISO 12570:2009-Hygrothermal Performance of Building Materials and Products- Determination of Moisture Content by Drying at Elevated Temperature
  24. Susha Lekshmi S. U., et al., A Critical Review of Soil Moisture Measurement, Measurement, 54 (2014), Aug., pp. 92-105

© 2024 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence