研究目的
To investigate the relationship between daylight availability and the performance of daylight-linked control systems (DLCSs) in side-lit offices in the Mediterranean area.
研究成果
The research demonstrates that DLCS performance is highly dependent on daylight availability, orientation, and season. Proportional dimming systems generally provide the best performance, but switching systems can be effective under high daylight conditions. Calibration should be seasonally adjusted to account for variations in daylight. The proposed methodology using DIA, LD%, ILE%, and LW% indices is useful for evaluating and improving DLCS during design and operation. Future work should include user preference studies and consider spectral and spatial responses of photosensors.
研究不足
The study is based on a limited period (one summer and one winter week per orientation), which may not represent annual variations. The photosensor assumed a spectral response matching V(λ), but commercial sensors may differ. The effect of shading systems is simplified, assuming DLCS disablement during high illuminance periods, which could impact performance. Further measurements are needed to verify representativeness for other periods.
1：Experimental Design and Method Selection:
The study involved daylight illuminance measurements in a side-lit office with south and west orientations during summer and winter. The functioning of five closed-loop DLCSs (switching, two-levels stepped, three-levels stepped, proportional dimming, integral reset) was modeled based on measured data. Control equations and calibration parameters were applied to simulate system operations.
2：Sample Selection and Data Sources:
A square office in Naples, Italy, with two balcony windows (south and west facing) was used. Illuminance measurements were taken at the work-plane and ceiling positions over 24 days (6 days per orientation per season) with a 1-minute time step.
3：List of Experimental Equipment and Materials:
Nesa illuminance-meters, datalogger, Konica Minolta T-10A illuminance meter, electronic power meter, DALI control unit, recessed LED luminaires with specific photometry, roller blinds, overhang shades.
4：Experimental Procedures and Operational Workflow:
Illuminance meters were positioned at specified points; measurements were recorded from 9:00 to 19:00. For each orientation, one window was shaded. Data were used to model DLCS functioning, calculate light output, absorbed power, and performance indices.
5：For each orientation, one window was shaded. Data were used to model DLCS functioning, calculate light output, absorbed power, and performance indices.
Data Analysis Methods:
5. Data Analysis Methods: Performance was evaluated using Daylight Integration Adequacy (DIA), Percentage Light Deficit (LD%), Percentage Intrinsic Light Excess (ILE%), Percentage Light Waste (LW%), and energy savings. Dynamic simulations and statistical analysis were performed using DIALux software.
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