P-Sol Financial Analysis
P-Sol Flowering Room Revenue Model
Modify the parameters below to model possible revenue impact when switching to a shorter-than 24-hour or longer-than 24-hour P-Sol flowering schedule.
? The number of days in a normal flowering cycle.
? The number of days required to clean and reset a flower room before flowering can begin again.
? The fixed costs you associate with each flower run, including defoliation, harvesting, cleaning, etc. but excluding electrical costs and rent.
? The cost of rent / taxes for the flower room per month.
? The average final dried and trimmed yield from the flower room, in pounds.
? The price you can get from selling a single pound of finished flowers.
? The total watts used by lights, fans and HVAC in the flower room while the lights are on.
? The total watts used by HVAC, dehumidifiers and fans in the flower room while the lights are off.
? The price you pay for a kilowatt-hour of electricity.
? The number of hours lights will be on for the P-Sol schedule; to induce flowering the dark period is assumed to be 12 hours.
? This field can be used to model a potential reduction in yield for the accelerated P-Sol schedule, to see how much yield would need to decrease before a shorter-than 24-hour P-Sol schedule does not make financial sense.This field can be used to model a potential increase in yield for the longer-than 24-hour P-Sol schedule given that the plants can receive more light each P-Sol ("day"), to see if it makes financial sense to go with a longer flowering schedule.
? With a longer-than 24-hour P-Sol schedule the plants need less light intensity to achieve the same daily light integral (DLI, or total number of photons per light/dark cycle). However, if you are exploring a longer-than 24-hour P-Sol schedule to potentially increase yield because your existing flowering lights aren't as intense as they could/should be, running your existing lights at 100% with more than 12 hours light-on will increase the DLI and potentially increase yield, so decreasing the light intensity proportional to the increased lights-on period would be counter-productive.
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P-Sol Schedule creases Annual Net Profit:
Breakdown:
| Normal 12/12 | P-Sol Difference | ||
|---|---|---|---|
| Days per Flower Run: | |||
| Runs per Year: | |||
| Per Flowering Run: | |||
| Average Hours Lights-On per Day: | 12 | ||
| Average Hours Lights-Off per Day: | 12 | ||
| Relative Light Intensity (Lights-On): | 100.00% | ||
| Relative Light Integral (per Day or P-Sol): | 100.00% | ||
| Average kWh per Day: | |||
| kWh per Flower Run: | |||
| Electric Cost per Flower Run: | |||
| Rent Cost per Flower Run: | |||
| Yield per Flower Run (pounds): | |||
| Per Year: | |||
| Yield (pounds): | |||
| Net Sales: | |||
| Electric Costs: | |||
| Flower Runs Fixed Costs: | |||
| Rent Costs: | |||
| Total Annual Costs: | |||
| Annual Net Profit: | |||
The average hours of lights-on, hours of lights-off, and kWh per day are calculated excluding the cleaning and reset days.
Relative light intensity for the modeled P-Sol schedule room is automatically adjusted to provide the plants with the same daily light integral (DLI)- the total number of photons per day (or P-Sol)- as the "normal" 12/12 flowering schedule. Lights-on electric use (for both lights and HVAC) is also adjusted to account for the different P-Sol light intensity, for example doubling light would require double the HVAC.