Dew points of quaternary ethane + carbon dioxide + water + methanol mixtures — Measurement and modelling

2005 ◽  
Vol 83 (3) ◽  
pp. 220-226 ◽  
Author(s):  
C Jarne ◽  
S T Blanco ◽  
S Avila ◽  
C Berro ◽  
S Otín ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Equation Of State ◽  
Temperature Data ◽  
Dew Point ◽  
Zeroth Approximation ◽  
Excess Function ◽  
Point Temperature ◽  
Dew Point Temperature ◽  
Point Equation ◽  
Temperature And Pressure

Dew points have been measured for eight ethane + carbon dioxide + water + methanol mixtures at pressures from 0.11 to 2.17 MPa and temperatures from 249.0 to 288.7 K. The results are analysed in terms of a predictive excess-function equation of state (EF-EOS) method based on the zeroth approximation of Guggenheim's reticular model. This method can be used to adequately predict the dew points of the mixtures in the temperature and pressure ranges used in the present study. In fact, the model reproduces the experimental dew point temperature data with ≤3.1 K average absolute deviation.Key words: dew point, equation of state, excess function.

scholarly journals Floristic and microclimatic features of the Sovljak doline (Mt. Velika Kapela, Croatia)

2019 ◽  
Vol 143 (1-2) ◽  
pp. 35-43
Author(s):  
Tihana Vilović ◽  
Suzana Buzjak ◽  
Nenad Buzjak
Keyword(s):  
Floristic Composition ◽  
Temperature Inversion ◽  
Life Forms ◽  
Temperature Data ◽  
Dew Point ◽  
Habitat Conditions ◽  
Indicator Values ◽  
Point Temperature ◽  
Dew Point Temperature ◽  
Habitat Similarity

The relation between floristic composition, microclimate and geomorphology of a large-sized karst doline was analysed in the area of the Sovljak doline located on the Mt. Velika Kapela. Habitat conditions in various parts of the doline, due to its morphology, were described in this work. Geomorphological observations, microclimatic measurements (including air temperature, relative humidity and dew point temperature data) and flora inventory were carried out. Ellenberg’s indicator values, life forms, chorological and taxonomical analyses were performed, as well as the analysis of habitat similarity. The doline slopes (northern and southern) appeared to offer different habitat conditions than its bottom, due to their morphological and microclimatic differences, which resulted in high taxa variability along short distances in the doline. Furthermore, the presence of temperature inversion promoted the development of the vegetation inversion, which is common in such large dolines.

Observed spatiotemporal changes in air temperature, dew point temperature and relative humidity over Myanmar during 2001–2019

2021 ◽  
Vol 134 (1) ◽  
Author(s):  
Zin Mie Mie Sein ◽  
Irfan Ullah ◽  
Vedaste Iyakaremye ◽  
Kamran Azam ◽  
Xieyao Ma ◽  
...  
Keyword(s):  
Relative Humidity ◽  
Air Temperature ◽  
Dew Point ◽  
Point Temperature ◽  
Dew Point Temperature ◽  
Spatiotemporal Changes

scholarly journals The Influence of Air Temperature on the Dew Point Temperature in Benin City, Nigeria

2017 ◽  
Vol 21 (4) ◽  
pp. 657 ◽  
Author(s):  
KE Ukhurebor ◽  
TB Batubo ◽  
IC Abiodun ◽  
E Enoyoze
Keyword(s):  
Air Temperature ◽  
Dew Point ◽  
Point Temperature ◽  
Dew Point Temperature ◽  
Benin City

scholarly journals Improving efficiency and lowering operating costs of evaporative cooling

2021 ◽  
Vol 338 ◽  
pp. 01027
Author(s):  
Jan Taler ◽  
Bartosz Jagieła ◽  
Magdalena Jaremkiewicz
Keyword(s):  
Electricity Consumption ◽  
Open Circuit ◽  
Dew Point ◽  
Operating Costs ◽  
Water Evaporation ◽  
Total Water ◽  
Point Temperature ◽  
Dew Point Temperature ◽  
Adiabatic Cooling ◽  
Positive Effect

Cooling towers, or so-called evaporation towers, use the natural effect of water evaporation to dissipate heat in industrial and comfort installations. Water, until it changes its state of aggregation, from liquid to gas, consumes energy (2.257 kJ/kg). By consuming this energy, it lowers the air temperature to the wet-bulb temperature, thanks to which the medium can be cooled below the ambient temperature. Evaporative solutions are characterized by continuous water evaporation (approx. 1.5% of the total water flow) and low electricity consumption (high EER). Evaporative (adiabatic) cooling also has a positive effect on the reduction of electricity consumption of cooled machines. Lowering the relative humidity (RH) by approx. 2% lowers the wet-bulb temperature by approx. 0.5°C, which increases the efficiency of the tower, operating in an open circuit, expressed in kW, by approx. 5%, while reducing water consumption and treatment costs. The use of the M-Cycle (Maisotsenko cycle) to lower the temperature of the wet thermometer to the dew point temperature will reduce operating costs and increase the efficiency of cooled machines.

scholarly journals Theoretical Analysis of Acid Dew Point Temperature and Vapour Condensation Characteristics of the Flue Gas

2020 ◽  
Vol 721 ◽  
pp. 012048
Author(s):  
Ning Wang ◽  
Xuemin Liu ◽  
Jian Guan ◽  
Guoli Qi ◽  
Jianfei Zhang ◽  
...  
Keyword(s):  
Theoretical Analysis ◽  
Flue Gas ◽  
Dew Point ◽  
Point Temperature ◽  
Dew Point Temperature ◽  
Vapour Condensation

scholarly journals Estimating Daily Dew Point Temperature Using Machine Learning Algorithms

Water ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 582 ◽  
Author(s):  
Sultan Noman Qasem ◽  
Saeed Samadianfard ◽  
Hamed Sadri Nahand ◽  
Amir Mosavi ◽  
Shahaboddin Shamshirband ◽  
...  
Keyword(s):  
Meteorological Parameters ◽  
Gene Expression Programming ◽  
Machine Learning Algorithms ◽  
Dew Point ◽  
Coefficient Of Determination ◽  
Support Vector ◽  
M5 Model Tree ◽  
Point Temperature ◽  
Dew Point Temperature ◽  
Input Parameters

In the current study, the ability of three data-driven methods of Gene Expression Programming (GEP), M5 model tree (M5), and Support Vector Regression (SVR) were investigated in order to model and estimate the dew point temperature (DPT) at Tabriz station, Iran. For this purpose, meteorological parameters of daily average temperature (T), relative humidity (RH), actual vapor pressure (Vp), wind speed (W), and sunshine hours (S) were obtained from the meteorological organization of East Azerbaijan province, Iran for the period 1998 to 2016. Following this, the methods mentioned above were examined by defining 15 different input combinations of meteorological parameters. Additionally, root mean square error (RMSE) and the coefficient of determination (R2) were implemented to analyze the accuracy of the proposed methods. The results showed that the GEP-10 method, using three input parameters of T, RH, and S, with RMSE of 0.96°, the SVR-5, using two input parameters of T and RH, with RMSE of 0.44, and M5-15, using five input parameters of T, RH, Vp, W, and S with RMSE of 0.37 present better performance in the estimation of the DPT. As a conclusion, the M5-15 is recommended as the most precise model in the estimation of DPT in comparison with other considered models. As a conclusion, the obtained results proved the high capability of proposed M5 models in DPT estimation.

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