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Estimation methodology for the electricity consumption with daylight- and occupancy-controlled artificial lighting

Artificial lighting represents 15-30% of the total electricity consumption in buildings in Scandinavia. It is possible to avoid a large share of electricity use for lighting by application of daylight control systems for artificial lighting. Existing methodology for estimation of electricity consumption with application of such control systems in Norway is based on Norwegian standard NS 3031:2014 and can only provide results from a rough estimate. This paper aims to introduce a new estimation methodology for the electricity usage with the daylight- and occupancy-controlled artificial lighting in an office, which is both accurate and rapid. The method is validated for an office building in Oslo, Norway, using the experimentally obtained data and the data from the Building Management System.
- Aalborg University Library (AUB) Aalborg Universitet Research Portal Denmark
- Aalborg University Library (AUB) Denmark
- Aalborg University Library (AUB) Denmark
- Aalborg University Denmark
- Aalborg University Denmark
Daylight factor, Measurement, Case-study, Light armature, Solar factor, Illuminance, CIE sky, Occupancy profile
Daylight factor, Measurement, Case-study, Light armature, Solar factor, Illuminance, CIE sky, Occupancy profile
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).9 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
