scholarly journals Development and validation of a data logger for thermal characterization in laying hen facilities

2019 ◽  
Vol 23 (10) ◽  
pp. 787-793 ◽  
Author(s):  
Letícia C. da S. R. Freitas ◽  
Ilda de F. F. Tinôco ◽  
Richard S. Gates ◽  
Matteo Barbari ◽  
Márcia G. L. Cândido ◽  
...  
Keyword(s):  
Experimental Data ◽  
Relative Humidity ◽  
Data Storage ◽  
Relative Error ◽  
Air Temperature ◽  
Low Cost ◽  
Linear Regression Analysis ◽  
Field Performance ◽  
Data Logger ◽  
Calibration Equations

ABSTRACT The environmental monitoring in animal facilities that includes collected data storage in a robust, practical and feasible way is a constant challenge. The aim of this study was to develop a reliable data logger for monitoring the air temperature and air relative humidity of aviaries and to assess the adequacy of the design using commercially available reference standard instruments. The experimental data logger was installed together with a commercial data logger, a mercury thermometer and a calibrated Vaisala HMP110 air relative humidity probe in a meteorological shelter. Linear regression analysis was performed with the collected air temperature and air relative humidity to develop calibration equations. The Nash-Sutcliffe Index and the relative error were calculated to validate the experimental data logger. The air temperature and the air relative humidity calibration equations presented Nash-Sutcliffe of 0.993 and -0.281 for the commercial data logger, and 0.913 and 0.932 for the experimental data. The mean relative error of the air temperature readings was 3 and 1% and for air relative humidity 5 and 20%, for the experimental and commercial logger, respectively. The experimental data logger reliably stored all collected data without error to the micro-SD card. The experimental data logger can be considered low-cost and sufficiently accurate for monitoring air temperature and air relative humidity in aviaries, presenting field performance very close to the commercial data logger for air temperature measurement, and better performance than the commercial data logger for the measurement of air relative humidity.

scholarly journals Long-Term Performance Assessment of Low-Cost Atmospheric Sensors in the Arctic Environment

Sensors ◽  
2020 ◽  
Vol 20 (7) ◽  
pp. 1919 ◽  
Author(s):  
Federico Carotenuto ◽  
Lorenzo Brilli ◽  
Beniamino Gioli ◽  
Giovanni Gualtieri ◽  
Carolina Vagnoli ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Relative Humidity ◽  
Air Temperature ◽  
Meteorological Parameters ◽  
Low Cost ◽  
Absolute Error ◽  
Atmospheric Composition ◽  
The Arctic ◽  
Svalbard Archipelago ◽  
Arctic Environment

The Arctic is an important natural laboratory that is extremely sensitive to climatic changes and its monitoring is, therefore, of great importance. Due to the environmental extremes it is often hard to deploy sensors and observations are limited to a few sparse observation points limiting the spatial and temporal coverage of the Arctic measurement. Given these constraints the possibility of deploying a rugged network of low-cost sensors remains an interesting and convenient option. The present work validates for the first time a low-cost sensor array (AIRQino) for monitoring basic meteorological parameters and atmospheric composition in the Arctic (air temperature, relative humidity, particulate matter, and CO2). AIRQino was deployed for one year in the Svalbard archipelago and its outputs compared with reference sensors. Results show good agreement with the reference meteorological parameters (air temperature (T) and relative humidity (RH)) with correlation coefficients above 0.8 and small absolute errors (≈1 °C for temperature and ≈6% for RH). Particulate matter (PM) low-cost sensors show a good linearity (r2 ≈ 0.8) and small absolute errors for both PM2.5 and PM10 (≈1 µg m−3 for PM2.5 and ≈3 µg m−3 for PM10), while overall accuracy is impacted both by the unknown composition of the local aerosol, and by high humidity conditions likely generating hygroscopic effects. CO2 exhibits a satisfying agreement with r2 around 0.70 and an absolute error of ≈23 mg m−3. Overall these results, coupled with an excellent data coverage and scarce need of maintenance make the AIRQino or similar devices integrations an interesting tool for future extended sensor networks also in the Arctic environment.

scholarly journals Drying kinetics of Chinese garlic (Allium tuberosum) and its effect on color

2020 ◽  
Vol 42 ◽  
pp. e8
Author(s):  
Paula De Almeida Rios ◽  
Ednilton Tavares De Andrade ◽  
Kátia Soares Moreira ◽  
Filipe Da Silva De Oliveira ◽  
Bárbara Lemes Outeiro Araújo
Keyword(s):  
Experimental Data ◽  
Mathematical Model ◽  
Air Temperature ◽  
Linear Regression Analysis ◽  
Drying Kinetics ◽  
Allium Tuberosum ◽  
Thin Slices ◽  
The Mathematical Model ◽  
Quasi Newton ◽  
Kinetics Of

Dehydrated garlic is an important component both for culinary and medicinal purposes. However, there is a scarcity of studies that characterizes its drying kinetics. Thus, the objective of this work was to study the drying kinetics of Chinese garlic (Allium tuberosum), as well as to analyze the color effect resulting from each treatment. The garlic bulbs were cut into thin slices with a width of 2 and 3 mm, subjected to the drying air temperature of 35, 45, 55 and 70 °C in a mechanical dryer of a fixed layer with forced convection. Was performed a non-linear regression analysis by the Quasi-Newton method, for adjustment to 11 mathematical models to the experimental data of drying. The Midilli equation was the mathematical model that best characterized all the drying temperatures, for the experimental data. The diffusion coefficient presented values between 1.46 x 10-11 and 7.32 x 10-11 m2.s-1. The increase of the drying air temperature caused the dimming of the samples with a reduction of the L* coordinate and reduction of the yellow of the samples according to the coordinate results h*. The temperature of 70 °C was detrimental to the maintenance of the Chinese garlic coloration. 

Parameters of water consumption associated with the microclimate of an orchard of jaboticaba trees in southern Brazil

Agrometeoros ◽  
2018 ◽  
Vol 26 (1) ◽  
Author(s):  
Homero Bergamaschi ◽  
Cristiano Knevitz Prua
Keyword(s):  
Relative Humidity ◽  
Soil Water ◽  
Air Temperature ◽  
Linear Regression Analysis ◽  
Field Studies ◽  
Soil Water Storage ◽  
Subtropical Climate ◽  
Porto Alegre ◽  
Evaporative Demand ◽  
Soil Water Extraction

This work aimed to quantify the evapotranspiration and to evaluate the microclimate of an orchard of jaboticaba trees [Plinia peruviana (Poir.) Govaerts]. Field studies were carried out in Porto Alegre, RS, in humid subtropical climate. The orchard was implanted in 2005, with plant spacing of 4.5m x 4.5m. Air temperature and relative humidity, photosynthetically active radiation (PAR), inside and outside the canopy, and soil moisture were monitored continuously. The evapotranspiration of the crop (ETc) was calculated by the decrease of the soil-water storage. The ETc/ETo ratio was determined by linear regression analysis, with ETo being the reference evapotranspiration. The relative humidity was higher inside than outside the canopy, with similar trend in air temperature. The interception efficiency of PAR increased from 80% in autumn-winter to 92% in spring-summer. ETc followed evaporative demand and leaf area, ranging from 0.3 to 3.2 mm day-1 in winter and from 0.2 to 5.0 mm day-1 in the summer. Most of the soil-water extraction occurred between 0 and 40 cm depth. The ETc/ETo ratio (assumed as Kc coefficient) was 0.95, ranging from 0.90 in winter to 1.06 in summer. Regression analyzes were effective in determining the ETc/ETm ratio, with better performance at high evaporative demand.

Investigation of Indoor Environment for a Data Center

2009 ◽  
Author(s):  
Lingcang Li ◽  
Yanlei Liu ◽  
Xiuling Wang ◽  
A. G. Agwu Nnanna
Keyword(s):  
Experimental Data ◽  
Numerical Simulation ◽  
Relative Humidity ◽  
Indoor Air ◽  
Data Center ◽  
Indoor Environment ◽  
Low Cost ◽  
Simulation Based ◽  
Simulation Results ◽  
Volume Method

Special indoor air environment requirements are needed for the data center, such as ambient temperature, airflow pattern, relative humidity and ozone concentration to maintain the reliability of a computer system. In this paper, a numerical simulation based on 3-D Finite Volume Method has been conducted for a data center at Purdue University Calumet. The purpose of the simulation is to find out the most effective and low-cost air condition system. Results for temperature, relative humidity distributions as well as velocity patterns are presented. Mesh independent studies are performed. Numerical results are validated by experimental data. Suggestions are given based on the simulation results for improving the indoor environment of the data center.

scholarly journals Effect of Relative Humidity and Air Temperature on the Results Obtained from Low-Cost Gas Sensors for Ambient Air Quality Measurements

Sensors ◽  
2020 ◽  
Vol 20 (18) ◽  
pp. 5175
Author(s):  
Abdul Samad ◽  
Daniel Ricardo Obando Nuñez ◽  
Grecia Carolina Solis Castillo ◽  
Bernd Laquai ◽  
Ulrich Vogt
Keyword(s):  
Air Quality ◽  
Relative Humidity ◽  
Data Quality ◽  
Air Temperature ◽  
Gas Sensors ◽  
Low Cost ◽  
Cost Effective ◽  
Ambient Air ◽  
Air Quality Measurements ◽  
Temperature Levels

Using low-cost gas sensors for air quality monitoring promises cost effective and convenient measurement systems. Nevertheless, the results obtained have a questionable quality due to different factors that can affect sensor performance. The most discussed ones are relative humidity and air temperature. This investigation aimed to assess the behavior of B4-series low-cost gas sensors from Alphasense for measuring CO, NO, NO2, and O3 for different levels of relative humidity and temperature. These low-cost gas sensors were tested for six relative humidity levels from 10% to 85% with increasing steps of 15% and four temperature levels of 10 °C, 25 °C, 35 °C, and 45 °C against reference instruments in the laboratory. The effect of these parameters on low-cost gas sensors was quantified in laboratory from which a correction algorithm was calculated, which was then applied to the field data. The applied algorithm improved the data quality of the low-cost gas sensors in most of the cases. Additionally, a low-cost dryer was assessed to reduce the influence of these factors on the low-cost gas sensors, which also proved to be suitable to enhance the data quality.

scholarly journals THE INFLUENCE OF VEGETATION TO INDOOR ILLUMINANCE, AIR TEMPERATURE AND RELATIVE HUMIDITY IN DESIGN STUDIO (Case Study: Architecture Department, Petra Christian University, Surabaya)

2020 ◽  
Vol 46 (2) ◽  
pp. 161-168
Author(s):  
Wanda K. Widigdo ◽  
Samuel Hartono ◽  
Luciana Kristanto
Keyword(s):  
Relative Humidity ◽  
Air Temperature ◽  
Design Studio ◽  
Data Logger ◽  
Humid Climate ◽  
Christian University ◽  
Indoor Space ◽  
Natural Element ◽  
Average Relative Humidity

This research aimed to find the influence of vegetation outside the window to indoor light and thermal in Design studio, Architecture department of Petra Christian University, Surabaya. The vegetation was Shibataea kumasasa, cultivated in planter boxes, 90-100 centimeter high. The data was collected from the West and North window, for condition with and without vegetation outside the window. The measurement was taken on March until May 2019, using Hobo U12-012 data logger for measuring air temperature (°C), relative humidity (%) and illuminance (lux). Beside those physical measurement, the perception of 89 students as building user was also taken. The measurement result from windows facing West and North with the vegetation, the lowest indoor air temperature was 27°C with an average relative humidity of 70%. Meant it's at the upper edge of the comfort zoneof Bioclimatic Chart from Olgyay and Canada’s National Occupational Health & Safety Resource (CCOHS), so the indoor space was still uncomfortable and cooling was required to get into the comfort zone at warm humid climate. Result from lighting measurements obtained for west-oriented windows with vegetation outside the window, the highest illuminance was 350 lux at 02:45 pm, as well as for windows facing North at 07.30 am - 04.45 pm in range of 105 - 155 lux (highest). So, if there are vegetation outside windows, it will require electric lighting addition, because the illuminance are below the SNI 03-6197-2011which recommends 750 lux for design studio. Whilst the user respond from the questionnaire taken, stated that aesthetic vegetation was expected for natural element, blocked the penetration of solar radiation into indoor, and reduce glare to increase visual comfort without reducing luminous sufficiency for the visual activities in the design studio.

scholarly journals Comparação de Modelos de Estimativa da Radiação de Onda Curta a partir de dados MODIS/Terra (Comparision Models for estimating the Shortwave Radiation from MODIS / Terra data)

2013 ◽  
Vol 6 (5) ◽  
pp. 1037 ◽  
Author(s):  
Francineide Amorim Santos ◽  
Bernardo Barbosa da Silva ◽  
Argemiro Lucena Araújo ◽  
Madson Tavares Silva ◽  
Alexandra Chaves Braga
Keyword(s):  
Relative Humidity ◽  
Key Words ◽  
Relative Error ◽  
Air Temperature ◽  
Cane Sugar ◽  
Dew Point ◽  
Shortwave Radiation ◽  
Weather Station ◽  
Error Percentage ◽  
Relative Humidity Data

O objetivo do presente estudo é analisar a precisão de diferentes metodologias na estimativa da radiação de onda curta incidente a partir de dados MODIS/TERRA em diferentes ecossistemas (cerrado e cana-de-açúcar). Foram utilizados três métodos que se convencionou denominar SEBAL (S), METRIC (M) e Bisht (B). Para aplicação do método SEBAL são necessários apenas dados de temperatura do ar e para o METRIC, de temperatura do ar e umidade relativa, dados que são facilmente obtidos em estações meteorológicas. A metodologia Bisht, porém, processou-se de forma totalmente autônoma, pois a temperatura do ar, assim como a temperatura do ponto do orvalho, foram obtidas de dados MODIS. O método que demonstrou maior precisão foi Bisht, com erro relativo percentual (ERP) de 3,94% no Cerrado e de 7,6% na cana-de-açúcar, seguido do METRIC e do SEBAL. No entanto, o METRIC foi o que proporcionou melhor correlação entre observações versus estimativas para a área do cerrado (R2 = 0,897) contra R2 = 0,847 do Bisht. Já para a área de cana-de-açúcar, o Bisht apresentou melhor correlação (R2 = 0,772), enquanto a correlação obtida com o METRIC foi de 0,744. A B S T R A C T The objective of this study is to analyze the accuracy of different methodologies to estimate the incident shortwave radiation from MODIS / TERRA in different ecosystems (savanna and cane sugar). Were used three methods that been conventionally called SEBAL (S), METRIC (M) and Bisht (B). To apply the method SEBAL requires only data of air temperature and for the METRIC, air temperature and relative humidity, data that are easily obtained from weather station. The methodology Bisht, however, was processed in a totally autonomous because the air temperature as well as the temperature of the dew point, were obtained from MODIS data. The method Bisht demonstrated greater accuracy, with relative error percentage (REP) of 3.94% in the Cerrado and 7.6% in cane sugar, followed by METRIC and SEBAL. However, METRIC was what provided the best correlation between observations versus estimates for the area of cerrado (R2 = 0.897) against R2 = 0.847 the Bisht. Already for the area of cane sugar, Bisht showed better correlation (R2 = 0.772), whereas the correlation with the METRIC obtained was 0.744. Key-Words: ecosystem, methodologies, accuracy, autonomous

Field Performance of a Constructed Litter Trap with Oil and Grease Filter using Low-cost Materials

2018 ◽  
Vol 10 (2) ◽  
Author(s):  
Siti Nazahiyah Rahmat ◽  
◽  
Algheethi Adel Ali Saeed Abduh ◽  
Ahmad Zurisman Mohd Ali ◽  
Mohd Adib Mohammad Razi ◽  
...  
Keyword(s):  
Low Cost ◽  
Field Performance ◽  
Oil And Grease

scholarly journals Detrended Multiple Cross-Correlation Coefficient applied to solar radiation, air temperature and relative humidity

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Andrea de Almeida Brito ◽  
Heráclio Alves de Araújo ◽  
Gilney Figueira Zebende
Keyword(s):  
Relative Humidity ◽  
Solar Radiation ◽  
Solar Energy ◽  
Correlation Coefficient ◽  
Air Temperature ◽  
Cross Correlation ◽  
Global Solar Radiation ◽  
Meteorological Variables ◽  
Hourly Data ◽  
Cross Correlations

AbstractDue to the importance of generating energy sustainably, with the Sun being a large solar power plant for the Earth, we study the cross-correlations between the main meteorological variables (global solar radiation, air temperature, and relative air humidity) from a global cross-correlation perspective to efficiently capture solar energy. This is done initially between pairs of these variables, with the Detrended Cross-Correlation Coefficient, ρDCCA, and subsequently with the recently developed Multiple Detrended Cross-Correlation Coefficient, $${\boldsymbol{DM}}{{\boldsymbol{C}}}_{{\bf{x}}}^{{\bf{2}}}$$DMCx2. We use the hourly data from three meteorological stations of the Brazilian Institute of Meteorology located in the state of Bahia (Brazil). Initially, with the original data, we set up a color map for each variable to show the time dynamics. After, ρDCCA was calculated, thus obtaining a positive value between the global solar radiation and air temperature, and a negative value between the global solar radiation and air relative humidity, for all time scales. Finally, for the first time, was applied $${\boldsymbol{DM}}{{\boldsymbol{C}}}_{{\bf{x}}}^{{\bf{2}}}$$DMCx2 to analyze cross-correlations between three meteorological variables at the same time. On taking the global radiation as the dependent variable, and assuming that $${\boldsymbol{DM}}{{\boldsymbol{C}}}_{{\bf{x}}}^{{\bf{2}}}={\bf{1}}$$DMCx2=1 (which varies from 0 to 1) is the ideal value for the capture of solar energy, our analysis finds some patterns (differences) involving these meteorological stations with a high intensity of annual solar radiation.

Sign in / Sign up

Export Citation Format

Share Document