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.
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