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Energy Efficient Lighting in Plant Factories: Addressing Utilance

Balasus, Jens ; Blank, Janis ; Babilon, Sebastian ; Hegemann, Tim ; Khanh, Tran Quoc (2022)
Energy Efficient Lighting in Plant Factories: Addressing Utilance.
In: Agronomy, 2022, 11 (12)
doi: 10.26083/tuprints-00020273
Article, Secondary publication, Publisher's Version

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Item Type: Article
Type of entry: Secondary publication
Title: Energy Efficient Lighting in Plant Factories: Addressing Utilance
Language: English
Date: 29 April 2022
Place of Publication: Darmstadt
Year of primary publication: 2022
Publisher: MDPI
Journal or Publication Title: Agronomy
Volume of the journal: 11
Issue Number: 12
Collation: 17 Seiten
DOI: 10.26083/tuprints-00020273
Corresponding Links:
Origin: Secondary publication DeepGreen
Abstract:

Vertical farming is considered to play a crucial role in future food supply. Until today, the high amount of electrical energy required for artificial lighting has been problematic in this context. Various possibilities for increasing efficiency through adapted lighting conditions have been and are being investigated. However, comparably little attention is paid to increasing utilance, i.e., the amount of photons that can effectively be used by the plant. In this work, a novel targeted lighting strategy is therefore proposed that allows for a dynamic adaptation of the luminaires’ light distribution to match the effective crop size at each stage of plant growth in a fully-automated manner. It is shown that the resulting utilance can significantly be increased compared to standard full-coverage lighting. Moreover, it is found that the proposed strategy is likely to consume less than half of the electrical energy usually required for the latter. An additional increase in system efficiency can be prognosticated and the potential energy savings are estimated based on assumptions of future LED generations derived from literature.

Uncontrolled Keywords: horticultural lighting, dynamic light distribution, targeted lighting, utilance, LED lighting
Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-202731
Classification DDC: 500 Science and mathematics > 570 Life sciences, biology
600 Technology, medicine, applied sciences > 600 Technology
Divisions: 18 Department of Electrical Engineering and Information Technology > Adaptive Lighting Systems and Visual Processing
Date Deposited: 29 Apr 2022 09:06
Last Modified: 14 Nov 2023 19:04
SWORD Depositor: Deep Green
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/20273
PPN: 499851528
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