Recalculation of Outdoor Temperature and Humidity for Cooling and Heating Load Design including Recent Weather Data

2019 ◽  
Vol 31 (4) ◽  
pp. 149-155
Author(s):  
A Young Nam ◽  
Young Il Kim
Keyword(s):  
Weather Data ◽  
Outdoor Temperature ◽  
Temperature And Humidity ◽  
Heating Load

scholarly journals Selection and Evaluation of influencing Parameters for Heat Load Forecasting Model

2021 ◽  
Vol 252 ◽  
pp. 03027
Author(s):  
Yuli Wu ◽  
Rui Li
Keyword(s):  
Prediction Model ◽  
Temperature Difference ◽  
Hot Water ◽  
Outdoor Temperature ◽  
Domestic Hot Water ◽  
Model Input ◽  
Average Temperature ◽  
Average Temperature Difference ◽  
Input Parameters ◽  
Heating Load

This paper analyses the factors affecting the heating consumption of a heating substation. The input parameters of neural network prediction model are analysed and selected. The average absolute error, average absolute percentage error, and mean square error are used to evaluate the effect of the prediction model. The results show that when the model input parameters are the maximum outdoor temperature, the average outdoor temperature, the average temperature difference between the primary supply and return of domestic hot water, the heating load in the previous three days, the heating load in the previous two days, the heating load in the previous day and when the model input parameters are the maximum outdoor temperature, the minimum outdoor temperature, the average outdoor temperature, the average temperature difference between the primary supply and return of domestic hot water, the heating load of the previous three days, the heating load of the previous two days, the heating load of the previous day, the effects are better.

Effect of pretest temperature on aerosol penetration and clearance in donkeys

1976 ◽  
Vol 41 (6) ◽  
pp. 920-924 ◽  
Author(s):  
D. E. Bohning ◽  
R. E. Albert ◽  
M. Lippmann ◽  
V. R. Cohen
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Aerosol Deposition ◽  
Multiple Linear Regression Analysis ◽  
Outdoor Temperature ◽  
Deposition Pattern ◽  
Particle Penetration ◽  
Temperature And Humidity ◽  
Humidity Dependence

Pretest temperature and humidity were correlated with tracheobronchial particle penetration and clearance data from donkeys housed in unheated outdoor facilities and tested after spending 1–2 h in a temperature- andhumidity-controlled laboratory. The animals inhaled an inert insoluble radioisotope-labeled monodisperse aerosol for several minutes. Its retention was monitored continuously for 3 h by external gamma detection. Aerosol deposition pattern and bronchial clearance were linearly correlated with pretestoutdoor temperature which ranged from -10 to 30 degrees C. The fraction depositing in the unciliated regions of the lung decreased 0.6% per degrees C drop in outdoor temperature. Overall bronchial transport decreased at least1.5%per degrees C decrease. Multiple linear regression analysis and correction for the positive correlation between temperature and humidity left no significant residual humidity dependence. Acclimatization of the animals in the laboratory for 6 h before testing significantly reduced these effects.

Influence of outdoor temperature and humidity on the methacholine challenge test

Aerobiologia ◽  
2012 ◽  
Vol 29 (2) ◽  
pp. 187-200
Author(s):  
Bruno Sposato ◽  
Marco Scalese ◽  
Andrea Pammolli ◽  
Carlo Pareo ◽  
Raffaele Scala
Keyword(s):  
Challenge Test ◽  
Outdoor Temperature ◽  
Methacholine Challenge ◽  
Methacholine Challenge Test ◽  
Temperature And Humidity

scholarly journals Development of a Low-Cost Arduino-Based Weather Station

2020 ◽  
Vol 5 (2) ◽  
Author(s):  
Temilola M Adepoju ◽  
Matthias O Oladele ◽  
Abdulwakil A Kasali ◽  
Gbenga J Fabiyi
Keyword(s):  
Data Collection ◽  
Data Storage ◽  
Low Cost ◽  
Data Communication ◽  
Weather Data ◽  
Weather Station ◽  
Atmospheric Conditions ◽  
Rf Transceiver ◽  
Temperature And Humidity ◽  
Arduino Uno

A weather station is a facility located either on land or sea consisting of instruments and equipment which can be used to measure atmospheric conditions so as to provide weather forecasts information and to study the weather. The existing instruments used for measuring the weather elements are expensive which led to the development of a low-cost Arduino-based weather station. The developed low-cost weather station consists of three separate modules which are data collection, data storage, and data communication. These modules communicate serially with each other and are controlled by three separate microcontrollers (Arduino Uno). The data collection module is interfaced with a set of sensors that collects temperature and humidity. The weather data were viewed in real-time through a graphical user interface (GUI) located at the central station. The developed weather station was able to measure the temperature and humidity of a controlled environment, giving the reading at interval of five minutes. It was observed that the average temperature from results obtained (27.360C) with the developed low-cost Arduino based weather station falls within the range of the Accuweather readings (24.00-28.000C). Also, the average humidity of the developed low-cost Arduino based weather station (80.41%) falls within the range of the Weatherspark humidity (78-82%) on 20th August 2019. Therefore, this system can be adopted as a weather station facility. The design can be extended to be web-based in the future to make it available worldwide.Keywords— Arduino Uno, Humidity, RF Transceiver, Temperature, Weather Station

Correlating indoor and outdoor temperature and humidity in a sample of buildings in tropical climates

Indoor Air ◽  
2021 ◽  
Author(s):  
Jin Pan ◽  
Julian Tang ◽  
Miguela Caniza ◽  
Jean‐Michel Heraud ◽  
Evelyn Koay ◽  
...  
Keyword(s):  
Outdoor Temperature ◽  
Temperature And Humidity ◽  
Tropical Climates ◽  
Indoor And Outdoor
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