Guoqiang Zhang

Dr. Guoqiang Zhang

orcid

Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 August 2018 in Journal of Thermal Biology
Verified
Journal Article
Closed access
XWXiaoshuai Wang
Xiaoshuai Wang
HGHongding Gao
Hongding Gao
KGKifle G. Gebremedhin
Kifle G. Gebremedhin
BBBjarne Bjerg
Bjarne Bjerg
JOJennifer Van Os
Jennifer Van Os
GZGuoqiang Zhang
Guoqiang Zhang

1 October 2018 in Journal of Thermal Biology
Verified
Journal Article
Closed access
XWXiaoshuai Wang
Xiaoshuai Wang
BBBjarne Schmidt Bjerg
Bjarne Schmidt Bjerg
CCChristopher Y. Choi
Christopher Y. Choi
CZChao Zong
Chao Zong
GZGuoqiang Zhang
Guoqiang Zhang


4 May 2010 in Sensors
Verified
Journal Article
Open access
PDF file
HRHans Benny Rom
Hans Benny Rom
GZGuoqiang Zhang
Guoqiang Zhang
Correct measurements of ammonia concentration in air still present considerable challenges. The high water solubility and polarity can cause it to adsorb on surfaces in the entire sampling system, including sampling lines, filters, valves, pumps and instruments, causing substantial measuring errors and time delays. To estimate time delay characteristics of a Photo Acoustic Multi Gas Monitor 1312 and a Multi Point Sampler continuous measurement of aerial ammonia concentrations at different levels was performed. In order to obtain reproducible data, a wind tunnel was used to generate selected concentrations inside and a background concentration representing the air inlet of the tunnel. Four different concentration levels (0.8 ppm, 6.2 ppm, 9.7 ppm and 13.7 ppm) were used in the experiments, with an additional outdoor concentration level as background. The results indicated a substantial time delay when switching between the measuring positions with high and low concentration and vice versa. These properties may course serious errors for estimation of e.g. gas emissions whenever more than one measuring channel is applied. To reduce the measurement errors, some suggestions regarding design of the measurement setup and measuring strategies were presented.

1 February 2022 in Journal of Thermal Biology
Verified
Journal Article
Open access
PBP. Brandt
P. Brandt
BBBjarne Bjerg
Bjarne Bjerg
PPP. Pedersen
P. Pedersen
KSK.B. Sørensen
K.B. Sørensen
LRLi Rong
Li Rong
GZGuoqiang Zhang
Guoqiang Zhang
Global warming combined with increased production (i.e. more piglets, more milk and consequently more heat) means that sows are more often challenged by heat stress. The objective was to develop an effective temperature (ET) equation to predict how air temperature, velocity and humidity affect the respiration rate (RR), rectal temperature (RT) and skin temperature (ST) as an expression of heat stress in gestating sows in order to elucidate the relationship between the thermal parameters and the sows' perception of the environment. The experimental room was equipped with a negative pressure ventilation system with diffuse air inlet through the ceiling, electrical heaters, steam generators and dehumidifiers. An air distribution unit was constructed to generate vertical air velocity. A total of 16 gestating sows were exposed to three temperatures (25°C, 29°C and 33°C), two levels of relative humidity (30% and 70%) and three levels of air velocity (0.2 ms-1, 1 ms-1 and 2.5 ms-1). The RR, RT and ST were recorded every 30 min throughout the three 2-h test periods. The estimated effects of humidity and velocity in relation to effect of temperature was nearly independent of whether it was determined from RR or RT, whereas the effect of humidity was much smaller when determined from ST. High coefficients of determination (>0.97) were found for the second order relationship between the estimated ET and RR, RT and ST. An increase in relative humidity from 50 to 70% corresponded to an increase in ET of 0.9°C, while an increase in air velocity from 0.2 to 1.0 ms-1 corresponded to a decrease in ET of 1.2°C. The applied ET equation was useful for expressing the combined effect of temperature, humidity and velocity on animals exposed to heat stress. However, multiplying the effect of velocity by the temperature gradient between the animal and the surrounding air did not improve the estimation.

19 September 2020 in Building Simulation
Verified
Journal Article
Closed access
PDF file
QYQianying Yi
Qianying Yi
GZGuoqiang Zhang
Guoqiang Zhang
BABarbara Amon
Barbara Amon
SHSabrina Hempel
Sabrina Hempel
David JankeDavid Janke
David Janke
TAThomas Amon
Thomas Amon