Bibliographic citations
Huamani, C., (2021). Mejora en el consumo de energía eléctrica de edificios residenciales basado en un sistema de control automático de iluminación [Trabajo de suficiencia profesional, Universidad Nacional de Ingeniería]. http://hdl.handle.net/20.500.14076/21792
Huamani, C., Mejora en el consumo de energía eléctrica de edificios residenciales basado en un sistema de control automático de iluminación [Trabajo de suficiencia profesional]. PE: Universidad Nacional de Ingeniería; 2021. http://hdl.handle.net/20.500.14076/21792
@misc{renati/711480,
title = "Mejora en el consumo de energía eléctrica de edificios residenciales basado en un sistema de control automático de iluminación",
author = "Huamani Quispe, Cesar Gabriel",
publisher = "Universidad Nacional de Ingeniería",
year = "2021"
}
The residential, commercial and public sector is one of the great energy consumers of society, along with transport and industry. This sector has traditional electrical systems for lighting control, which are operated during time slots (in ranges of 12 hours a day) where the lighting in various building environments is activated even when no one is in the environment. This type of drive is not efficient in the use of energy, generating high electrical consumption. The purpose of the present work of professional sufficiency is to design an automatic lighting control system for the improvement in the electrical energy consumption of residential buildings. The improvement mainly involves the reduction in the consumption of electrical energy in lighting. In the first instance, information is collected on the building's environments, the lighting distribution and its electrical loads. With this information, the equipment integration architecture, topology and detection technologies for lighting control are designed based on the integration criteria of sensors and actuators, their compatibility, communication and others. Next, the control zones of the environments where the sensors will be installed are determined. Then, calculations are performed to identify the number and location of the sensors related to the control zones. Finally, the model of the automatic control system is determined, which activates and deactivates the loads through the action of groups and scenarios configured in each sensor, and reduces the consumption of electrical energy for lighting in residential buildings.
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