Mid Sweden University

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Measuring Water Droplets to Detect Atmospheric Icing
Mittuniversitetet, Fakulteten för naturvetenskap, teknik och medier, Avdelningen för elektronikkonstruktion.ORCID-id: 0000-0002-5324-002x
2017 (engelsk)Licentiatavhandling, med artikler (Annet vitenskapelig)
Abstract [en]

This thesis describes the exploration of a method to measurethe droplet size and the concentration of atmospheric liquid water. The purpose is to find a cost effective technique to detect the conditions for icing on structures.

Icing caused by freezing atmospheric water can be a signifi- cant problem for infrastructure such as power lines, roads and air traffic. About one third of the global installed wind power capacity is located in cold climates, where icing of rotor blades is one of the major challenges.

The icing process is complex and the result depends on a combination of the aerodynamic shape of the structure or airfoil, the velocity of the air and its contained water, the temperature, the mixing of snow and water, the concentration of liquid water and the Droplet Size Distribution (DSD).

The measurement method is based on a shadowgraph imag- ing system using light emitting diode (LED) light as background illumination and digital image processing. A prototype instru- ment has been constructed. The components were selected keeping the possibility of low-cost volume production in mind. The applications of a commercial instrument based on this tech- nique are e.g. real-time in-situ icing condition measurements and assimilation and verification of data in numerical weather models.

The work presented shows that measurements of the size and concentration of water droplets using shadowgraph images can be used for the comparison and validation of Numerical Weather Prediction (NWP) models and other instruments. The accuracy of the particle size measurement is high. The accuracy of the concentration measurement has the potential to become high due to the single-particle measurement range calibraiton. The precision of the instrument depends mainly on the number of images that is used to find each measurement value. The real-time performance of the instrument is limited by the image retrieval and processing speed and depends on the  precisionrequired.

sted, utgiver, år, opplag, sider
Sundsvall: Mid Sweden University , 2017. , s. 72
Serie
Mid Sweden University licentiate thesis, ISSN 1652-8948 ; 134
HSV kategori
Identifikatorer
URN: urn:nbn:se:miun:diva-31827ISBN: 978-91-88527-29-5 (tryckt)OAI: oai:DiVA.org:miun-31827DiVA, id: diva2:1148684
Presentation
2017-11-01, O102, Holmgatan 10, Sundsvall, 10:00 (engelsk)
Opponent
Veileder
Prosjekter
SMART (Smarta system och tjänster för ett effektivt och innovativt samhälle)
Merknad

Vid tidpunkten för framläggningen av avhandlingen var följande delarbeten opublicerade: delarbete 3 inskickat.

At the time of the defence the following papers were unpublished: paper 3 submitted.

Tilgjengelig fra: 2017-10-13 Laget: 2017-10-12 Sist oppdatert: 2025-09-25bibliografisk kontrollert
Delarbeid
1. Liquid Water Content and Droplet Sizing Shadowgraph Measuring System for Wind Turbine Icing Detection
Åpne denne publikasjonen i ny fane eller vindu >>Liquid Water Content and Droplet Sizing Shadowgraph Measuring System for Wind Turbine Icing Detection
2016 (engelsk)Inngår i: IEEE Sensors Journal, ISSN 1530-437X, E-ISSN 1558-1748, Vol. 16, nr 8, s. 2714-2725, artikkel-id 7384444Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

This study shows that the liquid water content (LWC) and the median volume diameter (MVD) can be derived from images of water droplets using a shadowgraph imaging system with incoherent LED illumination.

Icing on structures such as a wind turbine is the result of a combination of LWC and MVD and other parameters like temperature, humidity and wind speed. Today, LWC and MVD are not commonly measured for wind turbines. Systems for measuring these properties are often expensive or impractical in terms of location or remote reading. The aim of this study is to gain knowledge about how to design a single instrument based on imaging that has the ability to measure these properties with enough precision and accuracy to detect icing conditions for wind turbines.

A method to calculate both the LWC and the MVD from the same images is described in this paper. The size of one droplet is determined by measuring the shadow created by the droplet in background illumination. The concentration is calculated by counting the measured droplets and estimating the volumes in which these droplets can be observed.

In the described study, the observation volume is shown to be dependent on the particle size and the signal to noise ratio (SNR) for each measured particle. An expected coefficient of variation of the LWC depending on the droplet size is shown to be 2.4 percent for droplets 10 µm in diameter and 1.6 percent for 25 µm droplets. This is based on an error estimation of the laboratory measurements calibrated using a micrometer dot scale.

sted, utgiver, år, opplag, sider
IEEE Sensors Council, 2016
Emneord
LWC, MVD, Icing, Clouds, Image processing, Machine vision, Meteorology, Optical microscopy, Wind power generation
HSV kategori
Identifikatorer
urn:nbn:se:miun:diva-27321 (URN)10.1109/JSEN.2016.2518653 (DOI)000372419100061 ()2-s2.0-84962128668 (Scopus ID)STC (Lokal ID)STC (Arkivnummer)STC (OAI)
Forskningsfinansiär
Swedish Energy Agency
Tilgjengelig fra: 2016-03-22 Laget: 2016-03-22 Sist oppdatert: 2025-09-25bibliografisk kontrollert
2. Droplet Imaging Instrument Metrology Instrument for Icing Condition Detection
Åpne denne publikasjonen i ny fane eller vindu >>Droplet Imaging Instrument Metrology Instrument for Icing Condition Detection
2016 (engelsk)Inngår i: 2016 IEEE INTERNATIONAL CONFERENCE ON IMAGING SYSTEMS AND TECHNIQUES (IST), IEEE, 2016, s. 66-71, artikkel-id 7738200Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

An instrument for measuring water droplets is described and constructed. It is designed to measure the volume concentration and the size distribution of droplets in order to detect icing conditions in a natural fog. The instrument works by shadowgraph imaging, with a collimated blue LED as background illumination. We show how to use a reference object to obtain a calibration of the droplet size and the measurement volume. These properties are derived from a measurement of the object's shadow intensity and its edge second derivative. From the size of every measured droplet and its expected detection volume, a measure of the liquid water content (LWC) and the median volume diameter (MVD) can be estimated. The instrument can be used for continuous measurement in a remote weather-exposed location and is tested in a small environment chamber. We also describe this chamber and how we can change the LWC using an ultrasonic fog generator and a fan.

sted, utgiver, år, opplag, sider
IEEE, 2016
Serie
IEEE International Conference on Imaging Systems and Techniques, ISSN 2471-6162
Emneord
atmospheric measurements, fog chamber, image analysis, liquid water content, machine vision
HSV kategori
Identifikatorer
urn:nbn:se:miun:diva-29765 (URN)10.1109/IST.2016.7738200 (DOI)000388735200012 ()2-s2.0-85004010273 (Scopus ID)STC (Lokal ID)978-1-5090-1817-8 (ISBN)STC (Arkivnummer)STC (OAI)
Konferanse
IEEE International Conference on Imaging Systems and Techniques (IST) / IEEE International School on Imaging, OCT 04-06, 2016, Chania, GREECE
Tilgjengelig fra: 2016-12-22 Laget: 2016-12-22 Sist oppdatert: 2025-09-25bibliografisk kontrollert

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