Optimalizace energetické náročnosti osvětlovacích soustav v závislosti na denním světle
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Vysoká škola báňská - Technická univerzita Ostrava
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ÚK/Sklad diplomových prací
Signature
201800035
Abstract
Dissertation deals with calculation of the electrical energy savings in the illumination field. Resource materials for superstructure software for the illumination calculation WDLS/WILS from ASTRA MS software are drawn up in this thesis. From these resource materials, it is possible to predict the electrical energy savings, which are achievable by controlling the artificial lighting system based on daylight dynamics.
First part of dissertation is focused on basic theory of daylight, spectral radiation and its influence and need for living organisms. Possibilities of the overcast sky for using in model follow. This part of dissertation is devoted to the illumination of the indoor workspaces by artificial lighting with contribution of daylight. Quantitative and qualitative parameters of the indoor workspaces illumination are described. Possibilities of the lighting system regulation using modern light sources, the available control and measurement systems and the legislative requirements overview for the energy consumption reduction of the lighting systems follow.
Next part of thesis deals with predictions of electrical energy consumption of artificial lighting systems in available software. Comparison of electrical energy savings calculations in RELUX and DIALux software is presented.
The core of dissertation is concentrate to create the dynamic model of the overcast sky for calculation of daylight illuminance on plane of the visual tasks in the indoor workspaces. This calculations run in the software for daylight factor calculation. Gained values are compared with the designed artificial lighting system. Predictions of the electrical energy savings are evaluated with respect to required level of dimming of the artificial lighting system, which is based on level of daylight and artificial light sum. This sum must meet normative requirements for sustainable illuminance. From this difference and operating time of each specific workspace presumptive savings of the electrical energy consumption of controlled lighting systems in comparison with uncontrolled lighting systems of artificial illumination are calculated.
Suggested mathematical model of the outdoor unshadowed plane illumination during whole year uses mathematical model of the overcast sky and known daylight factor D to calculate indoor illumination level. Suggested model is implemented into software WDLS. The calculations made in WDLS are then imported into WILS program. Given values of the indoor workspaces illuminance are used as input for dimming of the artificial lighting system. Individual lines of luminaires are controlled in WILS software and input power of whole artificial lighting system recorded – both with and without regulation.
The last part of dissertation is dedicated to verification of mathematical model. Data for verification are obtained from long-term measurements in two tested spaces.
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Energy savings, illuminance, daylight, overcast sky, artificial lighting system, dimming, prediction.