Minimizing electricity cost through smart lighting control for indoor plant factories

Lork, Clement, Cubillas, Michael, Ng, Benny Kai Kiat, Chau, Yuen, and Tan, Matthew (2020) Minimizing electricity cost through smart lighting control for indoor plant factories. In: Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society. pp. 297-302. From: IECON 2020: 46th Annual Conference of the IEEE Industrial Electronics Society, 18-21 October 2020, Singapore.

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Abstract

Smart plant factories incorporate sensing technology, actuators and control algorithms to automate processes, reducing the cost of production while improving crop yield many times over that of traditional farms. This paper investigates the growth of lettuce (Lactuca Sativa) in a smart farming setup when exposed to red and blue light-emitting diode (LED)horticulture lighting. An image segmentation method based on K-means clustering is used to identify the size of the plant at each stage of growth, and the growth of the plant modelled in a feed forward network. Finally, an optimization algorithm based on the plant growth model is proposed to find the optimal lighting schedule for growing lettuce with respect to dynamic electricity pricing. Genetic algorithm was utilized to find solutions to the optimization problem. When compared to a baseline in a simulation setting, the schedules proposed by the genetic algorithm can achieved between 40-52% savings in energy costs, and up to a 6% increase in leaf area.

Item ID: 65054
Item Type: Conference Item (Research - E1)
ISBN: 978-1-7281-5414-5
Copyright Information: Accpeted Version © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Date Deposited: 10 Jan 2021 21:27
FoR Codes: 30 AGRICULTURAL, VETERINARY AND FOOD SCIENCES > 3002 Agriculture, land and farm management > 300205 Agricultural production systems simulation @ 100%
SEO Codes: 82 PLANT PRODUCTION AND PLANT PRIMARY PRODUCTS > 8298 Environmentally Sustainable Plant Production > 829899 Environmentally Sustainable Plant Production not elsewhere classified @ 100%
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