Temperature Sum Based Hierarchical Optimization for Greenhouse Environmental Factors

DOI

10.2991/ifmca-16.2017.54How to use a DOI?

Keywords

temperature sum; greenhouse environment control; energy consumption; economic benefit

Abstract

In greenhouse production, more than 35% of the energy consumption was spent on greenhouse heating. Most greenhouse environmental control strategy is still static working point, and usually it can not adapt to outdoor weather changes so that the energy consumption in cold climate is enormous. In this study, based on the theory of temperature sum, a hierarchical optimization method for tomato was proposed. Based on the previous work, the economic benefit model of greenhouse control was summarized, and the economic benefit of each layer was solved by numerical method, so that we get a series of environmental set points for actuators, improving adaptability to extreme weather and saving 11% heating energy consumption in a week based on the energy consumption model. And carbon dioxide enrichment promoted photosynthesis rate and in the simulation the increment of production reached 248% based on Vanthoor's tomato yield model.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Daizong Chen
AU  - Lihong Xu
AU  - Yuanping Su
PY  - 2017/03
DA  - 2017/03
TI  - Temperature Sum Based Hierarchical Optimization for Greenhouse Environmental Factors
BT  - Proceedings of the 2016 International Forum on Mechanical, Control and Automation (IFMCA 2016)
PB  - Atlantis Press
SP  - 346
EP  - 352
SN  - 2352-5401
UR  - https://doi.org/10.2991/ifmca-16.2017.54
DO  - 10.2991/ifmca-16.2017.54
ID  - Chen2017/03
ER  -