Methods for providing optimal light-CO2 combinations for plant production

• US 7,502,655 B2
• Filed: 01/29/2007
• Issued: 03/10/2009
• Est. Priority Date: 10/31/2003
• Status: Expired due to Fees

• Current Assignee: Cornell Research Foundation Incorporated (Cornell University)
• Original Assignee: Cornell Research Foundation Incorporated (Cornell University)
• Inventors: Ho, Jeffrey W., Ferentinos, Konstantinos, de Villiers, David S., Seginer, Ido, Albright, Louis D.
• Primary Examiner(s): DeCady; Albert
• Assistant Examiner(s): CHANG, SUNRAY
• Application Number:
  US11/668,030
• Publication Number:
  US 20070124003A1
• Time in Patent Office: 771 Days
• Field of Search: 700/286, 700/110, 700/284, 700/11, 47/14.3, 47/17, 47/581.R, 405/37, 702/2
• US Class Current: 700/36
• CPC Class Codes: A01G 7/02 Treatment of plants with carbon dioxide
• CPC Class Codes: A01G 9/18 Greenhouses for treating plants with carbon dioxide or the like
• CPC Class Codes: G05B 13/042 in which a parameter or coefficient is automatically adjusted to optimise the performance
• CPC Class Codes: G05B 15/02 electric

Abstract

Method for optimizing plant production in a cost effective manner. System (100) includes a processor (102) in communication with resource controllers (110, 112) for controlling resources (106, 108) such as, for example, lighting and carbon dioxide. Each resource has a cost that varies temporally or with other factors. The processor implements an algorithm that receives a desired plant production rate and other input, such as operating conditions of the system and environment, and determines amounts of each resource to expend consistent with plant production goals and resource costs.

Claims

1. A method for controlling resources for growing a plant, the method comprising the steps of:

(a) receiving desired resource amounts for associated resources to achieve a desired plant production rate;

(b) initializing a time period;

(c) determining actual resource amounts for each of the associated resources;

(d) determining costs for each of the associated resources to supplement the actual resource amounts to achieve the desired resource amounts for an upcoming time period;

(e) selecting one of the associated resources which has the lowest of the costs;

(f) supplementing the actual resource amount of the selected associated resource with the selected associated resource;

(g) adding the supplemented resource amount of the selected associated resource to the actual resource amounts of the associated resources, and providing the additive total amount to the plant during the time period;

(h) predicting an outside air temperature outside of a greenhouse containing the plant for the upcoming time period;

(i) predicting solar photosynthetic active radiation (PAR) during the upcoming time period; and

(j) calculating a greenhouse ventilation rate needed for indoor air temperature control of the greenhouse based on the predicted outdoor air temperature and the predicted solar PAR during the upcoming time period and controlling the greenhouse indoor air temperature based on the calculated greenhouse ventilation rate.

2. The method of claim 1, wherein one of the associated resources comprises electricity for a lighting system.

3. The method of claim 1, wherein one of the associated resources comprises carbon dioxide (CO₂).

4. The method of claim 1, wherein the time period is selected from the group consisting of a peak period and a non-peak period.

5. The method of claim 1 further comprising the steps of:

(k1) incrementing the time period; and

(l1) repeating steps (c)-(k1).

6. The method of claim 1, further comprising the steps of:

(k2) modifying the desired plant production rate; and

(l2) repeating steps (b)-(k2).

7. The method of claim 1, further comprising the step of calculating a proportional plant growth achieved.

8. The method of claim 1, wherein one of the associated resources is a naturally available resource.

9. The method of claim 8, wherein the naturally available resource varies in accordance with a natural resource time period.

10. The method of claim 9, wherein the naturally available resource is solar radiation and the natural resource time period is selected from the group consisting of daytime and nighttime.

11. The method of claim 1, wherein one of the associated resources comprises CO₂ and is used to supplement CO₂ decay losses.

12. The method of claim 1, wherein said step of determining actual resource amounts further comprises predicting for an upcoming time period at least one environmental condition affecting the actual resource amounts selected from the group consisting of solar insolation within the greenhouse, and ventilation rate from the greenhouse encompassing the plant.

13. The method as in claim 1 further comprising the steps of

predicting solar PAR irradiation for the upcoming time period based on a cumulative actual solar PAR integral;

and

predicting an amount of CO₂ that must be added to the greenhouse to achieve the actual resource amounts of the associated resources using pre-selected greenhouse characteristics, the predicted solar PAR irradiation, and the predicted outdoor air temperature, with and without using supplemental PAR irradiation.

14. The method as in claim 13 further comprising the steps of:

predicting, for a range of the predicted CO₂ concentrations and for the time period, a virtual solar PAR integral for the time period based on a selection of the predicted CO₂ concentrations within the range, the predicted solar PAR, and the supplemental PAR irradiation.

15. The method as in claim 14 further comprising the steps of:

adding the virtual solar PAR integral to the cumulative virtual solar PAR integral; and

tracking the progress of the virtual solar PAR integral towards achieving a pre-selected target total PAR integral.

16. A system for controlling resources for growing a plant comprising:

a computer including hardware and software functions that;

receive desired resource amounts for associated resources to achieve a desired plant production rate,

initialize a time period,

determine actual resource amounts for each of said associated resources,

determine costs for each of said associated resources to supplement said actual resource amounts to achieve said desired resource amounts for an upcoming time period,

select one of said associated resources based on a lowest of said costs, and

supplement said actual resource amount of said selected associated resource with said lowest of said costs; and

resource controllers that

add said supplemented resource amount of said selected associated resource and said actual resource amounts of said associated resources;

provide the additive total amount to said plant during said time period;

predict air temperature outside of a greenhouse containing said plant for said upcoming time period;

predict solar photosynthetic active radiation (PAR) during said upcoming time period; and

calculate a greenhouse ventilation rate needed for indoor air temperature control of the greenhouse based on the predicted outdoor air temperature and the predicted solar PAR during said upcoming time period and controlling the greenhouse indoor air temperature based on the calculated greenhouse ventilation rate.

17. The system of claim 16 wherein said hardware and software functions further include functionality to increment said time period and repeatedly execute said hardware and software functions.

18. The system of claim 16 wherein said hardware and software functions further include functionality to receive a modification to said plant production rate and re-execute said hardware and software functions.

19. The system of claim 16 wherein one of said associated resources comprises electricity for a lighting system.

20. The system of claim 16 wherein one of said associated resources comprises carbon dioxide (CO₂).