Control Strategies for Daylight and Artificial Lighting in Office Buildings—A Bibliometrically Assisted Review

Daniel Plörer, Sascha Hammes, Martin Hauer, Vincent van Karsbergen and Rainer Pfluger
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Daniel Plörer: Unit of Energy Efficient Building, University of Innsbruck, A-6020 Innsbruck, Austria
Sascha Hammes: Unit of Energy Efficient Building, University of Innsbruck, A-6020 Innsbruck, Austria
Martin Hauer: Unit of Energy Efficient Building, University of Innsbruck, A-6020 Innsbruck, Austria
Vincent van Karsbergen: Unit of Energy Efficient Building, University of Innsbruck, A-6020 Innsbruck, Austria
Rainer Pfluger: Unit of Energy Efficient Building, University of Innsbruck, A-6020 Innsbruck, Austria

Energies, 2021, vol. 14, issue 13, 1-18

Abstract: A significant proportion of the total energy consumption in office buildings is attributable to lighting. Enhancements in energy efficiency are currently achieved through strategies to reduce artificial lighting by intelligent daylight utilization. Control strategies in the field of daylighting and artificial lighting are mostly rule-based and focus either on comfort aspects or energy objectives. This paper aims to provide an overview of published scientific literature on enhanced control strategies, in which new control approaches are critically analysed regarding the fulfilment of energy efficiency targets and comfort criteria simultaneously. For this purpose, subject-specific review articles from the period between 2015 and 2020 and their research sources from as far back as 1978 are analysed. Results show clearly that building controls increasingly need to address multiple trades to achieve a maximum improvement in user comfort and energy efficiency. User acceptance can be highlighted as a decisive factor in achieving targeted system efficiencies, which are highly determined by the ability of active user interaction in the automatic control system. The future trend is moving towards decentralized control concepts including appropriate occupancy detection and space zoning. Simulation-based controls and learning systems are identified as appropriate methods that can play a decisive role in reducing building energy demand through integral control concepts.

Keywords: office buildings; control strategies; daylight; artificial lighting; energy efficiency; comfort; user-centered systems (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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