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
Artikel, Zweitveröffentlichung, Verlagsversion
Kurzbeschreibung (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.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2022 |
| Autor(en): | Balasus, Jens ; Blank, Janis ; Babilon, Sebastian ; Hegemann, Tim ; Khanh, Tran Quoc |
| Art des Eintrags: | Zweitveröffentlichung |
| Titel: | Energy Efficient Lighting in Plant Factories: Addressing Utilance |
| Sprache: | Englisch |
| Publikationsjahr: | 2022 |
| Publikationsdatum der Erstveröffentlichung: | 2022 |
| Verlag: | MDPI |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Agronomy |
| Jahrgang/Volume einer Zeitschrift: | 11 |
| (Heft-)Nummer: | 12 |
| Kollation: | 17 Seiten |
| DOI: | 10.26083/tuprints-00020273 |
| URL / URN: | https://tuprints.ulb.tu-darmstadt.de/20273 |
| Zugehörige Links: | |
| Herkunft: | Zweitveröffentlichung DeepGreen |
| Kurzbeschreibung (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. |
| Freie Schlagworte: | horticultural lighting, dynamic light distribution, targeted lighting, utilance, LED lighting |
| Status: | Verlagsversion |
| URN: | urn:nbn:de:tuda-tuprints-202731 |
| Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 500 Naturwissenschaften und Mathematik > 570 Biowissenschaften, Biologie 600 Technik, Medizin, angewandte Wissenschaften > 600 Technik |
| Fachbereich(e)/-gebiet(e): | 18 Fachbereich Elektrotechnik und Informationstechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Adaptive Lichttechnische Systeme und Visuelle Verarbeitung |
| Hinterlegungsdatum: | 29 Apr 2022 09:06 |
| Letzte Änderung: | 02 Mai 2022 10:02 |
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| Zugehörige Links: | |
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| Suche nach Titel in: | TUfind oder in Google |
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