Artículo
Dynamic analysis of office lighting smart controls management based on user requirements
Autor/es | Campano, Miguel Ángel
Acosta García, Ignacio Javier Domínguez Amarillo, Samuel López Lovillo, Remedios María |
Departamento | Universidad de Sevilla. Departamento de Construcciones Arquitectónicas I (ETSA) |
Fecha de publicación | 2022-01 |
Fecha de depósito | 2021-11-29 |
Publicado en |
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Resumen | Daylight dynamic metrics provide an alternative approach for the assessment of the energy savings promoted by lighting control systems. This research aims to quantify the energy savings allowed by lighting smart controls ... Daylight dynamic metrics provide an alternative approach for the assessment of the energy savings promoted by lighting control systems. This research aims to quantify the energy savings allowed by lighting smart controls using continuous and overcast daylight autonomy, novel metrics tested monitoring a mesh of illuminance-meters in test cells over a one-year period. Three types of smart controls are proposed, based on switches and dimmers, some of which were managed by illuminance-meters and irradiance detectors. Energy savings are assessed according to weather data, room dimensions, inner reflectances, window size and user requirements—illuminance needs and working hours. The results show a reduction in the average energy consumption of electric lighting of up to 23%, suggesting the suitability of the smart controls proposed. Smart controls without illuminance-meter feedback are only recommended for shallow rooms with low requirements, while dark deep rooms demand a complex dimming system managed by external illuminance-meters. |
Agencias financiadoras | Ministerio de Ciencia e Innovación (MICIN). España Junta de Andalucía |
Identificador del proyecto | BIA2017-86997-R
PID2020-117563RB-I00 PI-0136-2019 |
Cita | Campano Laborda, M.Á., Acosta García, I.J., Domínguez Amarillo, S. y López Lovillo, R.M. (2022). Dynamic analysis of office lighting smart controls management based on user requirements. Automation in Construction, 133 (104021) |
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