DynaGrow: Next Generation Software for Multi-Objective and Energy Cost-Efficient Control of Supplemental Light in Greenhouses

Publikation: Bidrag til bog/antologi/rapport/proceedingBidrag til bog/antologiForskningpeer review

  • Jan Corfixen Sørensen, Syddansk Universitet, Danmark
  • Katrine Heinsvig Kjær
  • ,
  • Carl-Otto Ottosen
  • Bo Nørregaard Jørgensen, Mærsk Instituttet, SDU, Danmark
It is not possible for growers to compromise product quality by saving
energy but the increasing electricity prices challenge the growers economically.Optimization
of such multiple conflicting goals requires advanced strategies that are
currently not supported in existing greenhouse climate control systems. DynaGrow
is built on top of the existing climate control computers and utilizes the existing
hardware. By integrating with exiting hardware it is possibly to support advanced
multi-objective optimization of climate parameters without investing in new hardware.
Furthermore, DynaGrow integrates with local climate data, electricity price
forecasts and outdoor weather forecasts, in order to formulate advanced control
objectives. In September 2014 and February 2015 two greenhouse experiments were
run to evaluate the effects of DynaGrow. By applying multi-objective optimization,
it was possible to produce a number of different cultivars and save energy without
compromising quality. The best energy savings were achieved in the February 2015
experiment where the contribution from natural light was limited.
OriginalsprogEngelsk
TitelStudies in Computational Intelligence : International Joint Conference, IJCCI 2016 Porto, Portugal, November 9–11, 2016 Revised Selected Papers
Antal sider20
Vol/bind792
ForlagSpringer
Udgivelsesår2019
Sider25-44
ISBN (trykt)978-3-319-99282-2
ISBN (Elektronisk)978-3-319-99283-9
StatusUdgivet - 2019

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