We conducted a study on the possibility of using the power plant's thermal effluent system by using a heating system to utilize the thermal effluent from Jeju Power Headquarters of KOMIPO. In this study, growth information such as the size, leaf area, fresh weight and dry weight of subtropical persimmon fruit (A) in the facility cultivation complex were measured. In the comparison group (B), the growth information of the same crop was measured and compared in an unheated greenhouse near Harye-ri, Namwon-eup, Seogwipo. Fruit size was measured at monthly intervals, and leaf area, fresh weight, and dry weight were measured at new shoot season. Measurement results of A and B growth information, 1) Fruit diameter & length, A grew 7.3% and 9.4% than B, 2) Leaf area, A grew 4.7% than B, 3) Fresh weight, the decrease was 8.9%, but the dry weight was 3.6%, indicating that A contains more nutrients than B. Therefore, if the heating control by supplying thermal effluent to the facility greenhouse, it can contribute to reducing the energy cost and improving quality.

Carbon dioxide enrichment for greenhouse crops has generally been a standard commercial practice for many years. Vegetable crops such as tomato, cucumber, and lettuce respond positively to the CO2 enrichment. But improper CO2 enrichment leads to physiological damage and economical loss. This study was carried out to develop a CO2 concentration control algorithm considering growth stage and efficiency. The measurand was CO2 consumption rate and top fresh weight that represents growth stage. The weight of top fresh lettuce as a whole in the tray was measured through a non-destructive method. The demand in CO2 concentration according to growth stage was investigated. The results are summarized as follows. 1. The CO2 consumption rate could be measured within the error of ± 15.4mgCO2/hr in the range of CO2 concentration of 500-1500ppm. 2. The weight of top fresh lettuce could be measured within the error ± 4.3g in the range of 0-1400g. 3. The CO2 control model developed could determine an economical CO2 supply rate considering CO2 consumption rate and leakage rate. 4. The CO2 control algorithm based on the control model was composed of feedforward control for maintaining a stable CO2 concentration level, and feedback control with CO2 consumption rate and top fresh weight for adapting to the change in CO2 demand by growth stage. 5. For the performance test with the developed control algorithm on lettuce the decrease in CO2 supply rate was obtained without a significant decrease in top fresh weight.

This study suggests the yield forecast models for autumn chinese cabbage and radish using crop growth and development information. For this, we construct 24 alternative yield forecast models and compare the predictive power using root mean square percentage errors. The results shows that the predictive power of model including crop growth and development informations is better than model which does not include those informations. But the forecast errors of best forecast models exceeds 5%. Thus it is important to establish reliable data and improve forecast models.