Global warming and energy-saving efforts make it necessary to look for energy-free technology to reduce buildings’ temperature. This work aims to develop a system for monitoring green panels’ physical variables (atmospheric temperature, humidity, soil humidity, amount of light, and vibration) to determine their efficiency. A model of a green panel was outfitted with detectors that recorded atmospheric variable modifications within and outside the green panel under evaluation. Open-source code and hardware were used to record all variables and store the data. Once the monitoring system is completed, a green panel model is developed as concept proof for monitoring the physical variables; a database is created, studied, and tested using the formulated hypothesis. The variables were analyzed using current techniques of statistical description, and the results obtained support the idea underpinning the feasibility of implementing green panels in city houses and buildings. A substantial difference in temperature up to 12°C was found when using green walls and ceiling systems at the hottest times of the day. The humidity in the air is up to 88%, generating an atmosphere of comfort in buildings where these systems are installed.
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