Greenhouse lighting optimization for tomato cultivation considering Real-Time Pricing (RTP) of electricity in the smart grid

Conference proceedings article

Authors/Editors

Strategic Research Themes

No matching items found.

Publication Details

Author list: Mahdavian M., Poudeh M.B., Wattanapongsakorn N.

Publisher: Hindawi

Publication year: 2013

ISBN: 9781479905454

ISSN: 0146-9428

eISSN: 1745-4557

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84883127791&doi=10.1109%2fECTICon.2013.6559619&partnerID=40&md5=f5cee7cf8dbbe7db9d75493b928de8d4

Languages: English-Great Britain (EN-GB)

View on publisher site

Abstract

Nowadays, usage of artificial light as the supplemental light in greenhouse cultivations is one of the most common techniques to increase greenhouse productions. Greenhouse is part of the Smart Grid, where the activation of electricity energy market is applied. With Real-Time Pricing (RTP) of electricity energy, finding the optimum values of supplemental light for various cultivations and conditions in the greenhouse environments is very important. In this paper, by modeling and using the measured and presented data of cherry tomato in the greenhouse cultivation, the optimum amounts of supplemental light and required electrical energy for HPS lamps in the greenhouse environment are simulated and calculated. ฉ 2013 IEEE.

Keywords

genetic algorithm (GA), greenhouse supplemental lighting, lighting optimization, real-time pricing (RTP), tomato cultivation