Temperature Sum Based Hierarchical Optimization for Greenhouse Environmental Factors
Daizong Chen, Lihong Xu, Yuanping Su
Available Online March 2017.
- https://doi.org/10.2991/ifmca-16.2017.54How to use a DOI?
- temperature sum; greenhouse environment control; energy consumption; economic benefit
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - https://doi.org/10.2991/ifmca-16.2017.54 ID - Chen2017/03 ER -