Snowpack thermal patterns in pre- and post-bushfire Snow Gum forests

Infrared thermography, in the analysis of photovoltaic (PV) power plants, is a mature technical discipline. In the event of a hailstorm that leaves the PV system without the support of the power grid (and a significant portion of the generation potential), thermography is the easiest way to determine the condition of the modules and revive the existing system with the available resources. This paper presents research conducted on a 30 kW part of a 420 kW PV power plant, and demonstrates the procedure for inspecting visually correct modules that have suffered from a major natural disaster. The severity of the disaster is shown by the fact that only 14% of the PV modules at the test site remained intact. Following the recommendations of the standard IEC TS 62446-3, a thermographic analysis was performed. The thermographic analysis was preceded by an analysis of the I-V curve, which was presented in detail using two characteristic modules as examples. I-V curve measurements are necessary to relate the measured values of the radiation and the measured contact temperature of the module to the thermal patterns. The analysis concluded that soiled modules must be cleaned, regardless of the degree of soiling. The test results clearly indicated defective module elements that would result in a safety violation if reused. The research shows that the validity criterion defined on the basis of the analysis of the reference module can be supplemented, but can also be replaced by a statistical analysis of several modules. The comparison between the thermographic analysis and the visual inspection clearly confirmed thermography as a complementary method for testing PV-s.

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Thermal Patterns Created By Moisture Accumulation Within Exterior Masonry Walls

10.21611/qirt.2006.042 ◽

2006 ◽

Cited By ~ 1

Author(s):

A. Colantonio ◽

G. Desroches

Keyword(s):

Masonry Walls ◽

Thermal Patterns

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THERMOGRAPHY – A REVIEW

10.36106/gjra/5212362 ◽

2021 ◽

pp. 98-101

Author(s):

G. Mounika ◽

K. Sridevi ◽

B. Krishnaveni ◽

N. Prasanth Kumar ◽

N. Harika

Keyword(s):

Temperature Distribution ◽

Orofacial Pain ◽

Inferior Alveolar Nerve ◽

The Body ◽

Herpes Labialis ◽

Noninvasive Method ◽

Maxillofacial Region ◽

Basic Principles ◽

Chronic Orofacial Pain ◽

Thermal Patterns

Thermography is a technique of measurement of skin temperature distribution on the body over a given period of time. It is a noncontact, noninvasive method that utilizes the heat from an object to detect, display, and record thermal patterns and temperature across the surface of the object. Over the years, various devices have been used to measure the amount of heat dissipated by the body and most recently thermography has been emerged to detect the oral and maxillofacial pathologies. It is used to detect malignancies of the maxillofacial region such as vitality of teeth, TMJ disorders, chronic orofacial pain, assessing inferior alveolar nerve decit, and detection of herpes labialis. The present article highlights the history, basic principles, types and applications of thermography and its benecial role in detecting the maxillofacial pathologies in dentistry.

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Local Weather Types by Thermal Periods: Deepening the Knowledge about Lisbon’s Urban Climate

Atmosphere ◽

10.3390/atmos11080840 ◽

2020 ◽

Vol 11 (8) ◽

pp. 840

Author(s):

Cláudia Reis ◽

António Lopes ◽

Ezequiel Correia ◽

Marcelo Fragoso

Keyword(s):

Hot Spots ◽

Urban Areas ◽

Urban Climate ◽

Specific Humidity ◽

Air Masses ◽

Air Temperatures ◽

Hourly Data ◽

Urban Heat ◽

Thermal Patterns ◽

Local Weather

Urbanized hot spots incorporate a great diversity of microclimates dependent, among other factors, on local meteorological conditions. Until today, detailed analysis of the combination of climatic variables at local scale are very scarce in urban areas. Thus, there is an urgent need to produce a Local Weather Type (LWT) classification that allows to exhaustively distinguish different urban thermal patterns. In this study, hourly data from air temperature, wind speed and direction, accumulated precipitation, cloud cover and specific humidity (2009–2018) were integrated in a cluster analysis (K-means) in order to produce a LWT classification for Lisbon’s urban area. This dataset was divided by daytime and nighttime and thermal periods, which were generated considering the annual cycle of air temperatures. Therefore, eight LWT sets were generated. Results show that N and NW LWT are quite frequent throughout the year, with a moderate speed (daily average of 4–6 m/s). In contrast, the frequency of rainy LWT is considerably lower, especially in summer (below 10%). Moreover, during this season the moisture content of the air masses is higher, particularly at night. This methodology will allow deepening the knowledge about the multiple Urban Heat Island (UHI) patterns in Lisbon.

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