A low-budget mathematically scalable sensor solution to reduce energy consumption in buildings.

Abstract:

Reducing the consumption of electrical equipment such as air conditioning and lighting in buildings is a challenge around the world. Sensor-based control systems supported by intelligent, adaptive mathematical algorithms can control electrical equipment optimally to save energy and maintain user satisfaction. The system combines PIR sensors, low-consumption temperature and lighting sensors that analyze the characteristics of the environment and allow efficient control decisions to be made in electrical equipment such as air conditioning and lighting system present in the building. This paper presents the design and implementation of the proposed system in a real room and the analysis of the system implementation in a simulation for a building. The simulations of total energy consumption during a period of one year of an occupied building were carried out to verify the performance and energy saving in some scenarios of climatic conditions. The proposed system reduces total energy consumption by 10%.

Año de publicación:

2021

Keywords:

Fuente:

google