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Comparison of sensorless dimming control based on building modeling and solar power generation
- Source :
- Energy. 81:15-20
- Publication Year :
- 2015
- Publisher :
- Elsevier BV, 2015.
-
Abstract
- Artificial lighting in office buildings accounts for about 30% of the total building energy consumption. Lighting energy is important to reduce building energy consumption since artificial lighting typically has a relatively large energy conversion factor. Therefore, previous studies have proposed a dimming control using daylight. When applied dimming control, method based on building modeling does not need illuminance sensors. Thus, it can be applied to existing buildings that do not have illuminance sensors. However, this method does not accurately reflect real-time weather conditions. On the other hand, solar power generation from a PV (photovoltaic) panel reflects real-time weather conditions. The PV panel as the sensor improves the accuracy of dimming control by reflecting disturbance. Therefore, we compared and analyzed two types of sensorless dimming controls: those based on the building modeling and those that based on solar power generation using PV panels. In terms of energy savings, we found that a dimming control based on building modeling is more effective than that based on solar power generation by about 6%. However, dimming control based on solar power generation minimizes the inconvenience to occupants and can also react to changes in solar radiation entering the building caused by dirty window.
- Subjects :
- Engineering
Building modeling
business.industry
Mechanical Engineering
Control (management)
Photovoltaic system
Illuminance
Control engineering
Building and Construction
Pollution
Industrial and Manufacturing Engineering
Automotive engineering
General Energy
Energy transformation
Daylight
Electrical and Electronic Engineering
business
Solar power
Energy (signal processing)
Civil and Structural Engineering
Subjects
Details
- ISSN :
- 03605442
- Volume :
- 81
- Database :
- OpenAIRE
- Journal :
- Energy
- Accession number :
- edsair.doi...........9ad231015049b0c3cda932ddd303c4c7