Design, construction and study of the efficiency of green panels with a monitoring system for physical variables

Abstract

The present work had some challenges such as to design and then construct an electronic system for monitoring the values of a select group of physical variables in a prototype of a green panel, the selected variables were temperature, relative humidity, soil humidity, mechanic and telluric vibrations and quantity of light, then study their behaviors of these variables mentioned before. To get the system ready for data acquisition and saving the data, it became necessary the construction of an electronically arrangement that understands; Open Source code, diverse types of electronic sensors and a free hardware device named “Arduino Uno board”. The prototype of a green panel in which we installed the electronic system with sensors that recorded the changes in an automatic way, then they were sent to a computer connected to the system with an USB wire for capturing data in Microsoft Excel, with an interval defined by Open Source Code, constructing a database, after 44 days of monitoring, for processing the data we occupied the software “R studio” of Open Source for continuing the study with a statistical analysis giving the central tendency measures, graphs, histograms, density curves and proving the correlation between variables with correlation coefficient (R) obtained by “Pearson” methodology. The study of time series and for developing linear and non-linear equations were done with the least squares’ methodology and GARCH method, running a simple regression, that included: logarithmic terms, quadratic terms, first differences, “dummies” and constants, in this case the statistical suites of choice were primarily E views, secondarily Minitab, SPSS, SAS and STATA. At the end of the regression, the results were in favor for the implementation of green panels in buildings, because they can bring several benefits to the environment. The conclusion was that the experiment generated atmospheric conditions that reduced in 8 °C of atmospheric temperature and the relative humidity in air is augmented in 15% and reduces carbon dioxide and carbon monoxide and the diminution of the “Urban Heat Island” effect in weather for a determined green area.