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Optimization of Light Conditions in a Greenhouse Environment: Reducing energy consumption and increasing yield using mechatronics
KTH, School of Industrial Engineering and Management (ITM).
2022 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesisAlternative title
Optimering av Ljusförhållanden i en Växthusmiljö : Minskad energiförbrukning och ökad skörd genom användandet av mekatronik (Swedish)
Abstract [en]

The present thesis explores the possibilities of reducing electrical energy consumption in a greenhouse environment through the construction a demonstrator system. The demonstrator system is imagined to be used in a vertical farming setup and is fully automated. The system achieves two main actions. It maintains the artificial light source at a fixed distance above the canopy of the grown crops, and it measures the change in natural light exposure and regulates the artificial light to maintain light conditions while utilizing sunlight. These prove to be good methods for reducing the amount of electrical energy consumed by such a system.

Abstract [sv]

Examensarbetet utforskar möjligheterna att minska elförbrukningen i en växthusmiljö genom att bygga ett demonstrationssystem. Demonstrationssystemet är tänkt att användas i en vertikal jordbruksuppsättning och är helautomatiserat. Systemet uppnår två huvudsakliga moment. Det håller den artificiella ljuskällan på ett fast avstånd ovanför de odlade grödorna, och det mäter förändringen i naturlig ljusexponering och reglerar det artificiella ljuset för att bibehålla ljusförhållandena samtidigt som solljuset utnyttjas. Dessa visar sig vara bra metoder för att minska mängden elektrisk energi som förbrukas av ett sådant system.

Place, publisher, year, edition, pages
2022. , p. 41
Series
TRITA-ITM-EX ; 2022:96
Keywords [en]
Indoor growing, Light-emitting diode, Mechatronics, Sustainability, Vertical Farming.
Keywords [sv]
Inomhusodling, Lysdiod, Mekatronik, Hållbarhet, Vertikalt Jordbruk
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-320966OAI: oai:DiVA.org:kth-320966DiVA, id: diva2:1708277
Presentation
2022-05-23, 00:00 (English)
Supervisors
Examiners
Available from: 2022-11-03 Created: 2022-11-03 Last updated: 2022-11-03Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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