Climate decision support

Climate decision support

1. Respond proactively to the weather forecast

The weather forecast is becoming more and more accurate and is therefore becoming an increasingly important factor in your short-term climate strategy. But how do you respond well to the expected weather? How do you ensure the right light-temperature ratio? And at what time is there a critical moment. By means of a weather forecast in combination with some set conditions, you get a forecast about your temperature profile. During the day, the temperature profile is updated based on new available weather forecasts, possibly changed settings and the temperature achieved so far. So when you are halfway through the day and the temperature has been at the high side, the calculation will take this into account by lowering the temperature for the rest of the day so that you still reach your desired 24-hour temperature. Here, the expected outside temperature and the other input needed to arrive at an appropriate temperature profile are still taken into account.

1.1 The descision support climate

The decisions support climate consists of a graph in which your temperature profile is displayed, a graph in which you can find the weather forecast, an overview in which you can find your settings and finally an overview in which you can find the results. These will be further explained in the paragraphs below.

1.2 The temperature profile

The below graph displays your forecasted temperature profile. The red and the dark green line indicate the expected minimum and maximum temperature. In addition, the light and dark blue line represent the minimum and maximum allowed temperature. If you see that the expected temperature line exceeds your desired maximum, you can already respond to this. Finally, the light green line is your realized greenhouse temperature.



1.3 The weather forecast graph

In the below graph, you can find the weather forecast. The red line represents the expected temperature and the yellow line the expected radiation. In addition, the lighting strategy of the past day is calculated, which is shown in the blue line.



1.4 The settings overview

You can find the set values in the settings overview. 
By clicking on the hand at the top right, you can immediately adjust these values and analyze the results. This way you will receive immediate feedback on your possible adjustments. 
Under heading 2 you can find the meaning of the set value.



1.5 The results overview

In the result overview are shown your results of the past few days. 



2. Set of your desired parameters

In order to provide insight into your expected temperature profile, we need a number of data:
  1. RTR target (the number of degrees one wants to go up per KJ/10 mol/m2)
  2. Base temperature (the desired 24-hour temperature on a day without light)
  3. Minimum and maximum temperature. These are the maximum and minimum temperatures of the greenhouse.
  4. Minimum and maximum decrease/rise in C per hour
  5. Active cooling present or not. If there is no active cooling, then the minimum greenhouse temperature is equal to the outside temperature. If active cooling is present, the minimum greenhouse temperature is equal to the set minimum temperature. 
  6. Start hour 24hour period.  This is the start time used for the calculation of the 24-hour temperature. 
  7. Number of days ahead. This is the number of days for which the temperature profile is calculated. Here it is recommended to look 2 to 3 days ahead due to the accuracy of the weather forecast. 
  8. Tuning factor energy storage. Indicates how long you want to retain the heat of the day. If nothing is entered, it takes 1.
  9. Tuning factor radiation.  This is a factor that determines the day/night difference in temperature. The higher the tuning factor, the greater the difference between day and night. This value is between 0 - 2 (2 ones the difference should be high).

You can set this by clicking on the hand in the settings overview