Evaporator development for adsorption heat transformation devices – Influencing factors on non-stationary evaporation with tube-fin heat exchangers at sub-atmospheric pressure

2017 ◽  
Vol 110 ◽  
pp. 141-153 ◽  
Author(s):  
Rahel Volmer ◽  
Julia Eckert ◽  
Gerrit Füldner ◽  
Lena Schnabel
Keyword(s):  
Influencing Factors ◽  
Atmospheric Pressure ◽  
Heat Exchangers ◽  
Adsorption Heat ◽  
Heat Transformation

scholarly journals Seasonal pattern of influenza and the association with meteorological factors based on wavelet analysis in Jinan City, Eastern China, 2013–2016

PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e8626 ◽  
Author(s):  
Wei Su ◽  
Ti Liu ◽  
Xingyi Geng ◽  
Guoliang Yang
Keyword(s):  
Influenza Virus ◽  
Influencing Factors ◽  
Atmospheric Pressure ◽  
Meteorological Factors ◽  
Wavelet Coherence ◽  
Coherence Analysis ◽  
Climate Factors ◽  
Epidemic Season ◽  
Wavelet Coherence Analysis ◽  
Influenza Seasonality

Background Influenza is a disease under surveillance worldwide with different seasonal patterns in temperate and tropical regions. Previous studies have conducted modeling of influenza seasonality using climate variables. This study aimed to identify potential meteorological factors that are associated with influenza seasonality in Jinan, China. Methods Data from three influenza sentinel hospitals and respective climate factors (average temperature, relatively humidity (RH), absolute humidity (AH), sunshine duration, accumulated rainfall and speed of wind), from 2013 to 2016, were collected. Statistical and wavelet analyses were used to explore the epidemiological characteristics of influenza virus and its potential association with climate factors. Results The dynamic of influenza was characterized by annual cycle, with remarkable winter epidemic peaks from December to February. Spearman’s correlation and wavelet coherence analysis illuminated that temperature, AH and atmospheric pressure were main influencing factors. Multiple wavelet coherence analysis showed that temperature and atmospheric pressure might be the main influencing factors of influenza virus A(H3N2) and influenza virus B, whereas temperature and AH might best shape the seasonality of influenza virus A(H1N1)pdm09. During the epidemic season, the prevalence of influenza virus lagged behind the change of temperature by 1–8 weeks and atmospheric pressure by 0.5–3 weeks for different influenza viruses. Conclusion Climate factors were significantly associated with influenza seasonality in Jinan during the influenza epidemic season and the optional time for influenza vaccination is before November. These finding should be considered in influenza planning of control and prevention.

scholarly journals Zeolite NaY-Copper Composites Produced by Sintering Processes for Adsorption Heat Transformation—Technology, Structure and Performance

Energies ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 1958
Author(s):  
Andreas Velte ◽  
Jörg Weise ◽  
Eric Laurenz ◽  
Joachim Baumeister ◽  
Gerrit Füldner
Keyword(s):  
Thermal Conductivity ◽  
Heat Exchanger ◽  
Metal Structure ◽  
Heat Pumps ◽  
Adsorption Heat ◽  
Thermal Mass ◽  
Heat Conducting ◽  
Zeolite Nay ◽  
Heat Transformation ◽  
The Impact

In adsorption heat pumps, the adsorbent is typically combined with heat conducting structures in order to ensure high power output. A new approach for the direct integration of zeolite granules into a copper structure made of short copper fibers is presented here. Zeolite NaY granules with two different grain sizes are coated with copper fibers and powder and sintered to larger structures. The sorption dynamics of these structures were measured and evaluated in terms of heat and mass transfer resistances and compared to the loose grain configuration of the same material. We found that the thermal conductivity of such a composite structure is approximately 10 times higher than the thermal conductivity of an adsorbent bed with NaY granules. Sorption equilibrium measurements with a volumetric method indicate that the maximum uptake is not altered by the manufacturing process. Furthermore, the impact of the adsorbent–metal structure on the total thermal mass of an adsorption heat exchanger is evaluated. The price of the superior thermal conductivity is a 40% higher thermal mass of the adsorption heat exchanger compared to the loose grain configuration.

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