Air conditioning system
US-2024384904-A1 · Nov 21, 2024 · US
US10378805B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10378805-B2 |
| Application number | US-201514642581-A |
| Country | US |
| Kind code | B2 |
| Filing date | Mar 9, 2015 |
| Priority date | Mar 7, 2014 |
| Publication date | Aug 13, 2019 |
| Grant date | Aug 13, 2019 |
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Model predictive control methods are disclosed which provide, among other things, efficient strategies for controlling heat-transfer to a fluid.
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What is claimed is: 1. A method for controlling a temperature of a fluid, the method comprising: an minimizing energy required to heat the fluid, wherein the method includes a model predictive controller configured to achieve the minimizing using a objective function defined by R opt ∝C rate [P 1 (R(i))+P 2 (R(i))], wherein: R opt is an optimized fluid temperature set-point, P 1 is the first power consumed by a first heating element to achieve a fluid temperature set-point (R(i)), P 2 is the second power consumed by a second heating element to achieve the fluid temperature set-point (R(i)), and C rate is an electricity rate; changing the fluid temperature set-point; and heating the fluid utilizing the first heating element and the second heating element to the optimized fluid temperature set-point; solving the objective function for the optimized fluid temperature set-point with the changed fluid temperature set-point; repeating the changing and the solving until the minimizing is achieved; adjusting at least one of the first power consumed by a first heating element or the second power consumed by a second heating element so that the fluid attains the optimized fluid temperature set-point; and heating the fluid utilizing the first heating element and the second heating element to the optimized fluid temperature set-point. 2. The method of claim 1 , wherein the objective function is also a function of a future fluid usage prediction, and the future fluid prediction is at least partially determined by historical fluid usage data. 3. The method of claim 2 , wherein the historical fluid usage data are determined by defining a first time period (T); defining a second time period (t) by dividing T by an integer value (N) such that T is divided into N equal and consecutive time intervals (t n ), wherein T restarts and repeats upon completion of the last t n ; and collecting consecutive measurements of actual fluid usage data (F n ) for each consecutive t n as the historical usage data. 4. The method of claim 3 , further comprising storing on a data storage medium no more than N sets of consecutive measurements. 5. The method of claim 4 , wherein the historical fluid usage data comprises a measurement of least one of a fluid flow or a fluid temperature. 6. The method of claim 1 , wherein the first heating element and the second heating element comprise at least one of a resistive heating element or a heat pump. 7. The method of claim 1 , wherein the fluid is a liquid. 8. The method of claim 7 , wherein the liquid is water. 9. The method of claim 1 , wherein the optimized fluid temperature set-point ranges from about 0° F. to about 500° F. 10. A method for controlling a temperature of water utilizing a resistive heating element and a heat pump, the method comprising: minimizing the sum of the first power consumed by a heat pump and a second power consumed by a resistive heating element, wherein the minimizing is achieved using an objective function defined by R opt ∝C rate [P hp (R(i))+P elec (R(i))], wherein: R opt is an optimized water temperature set-point for the water, P 1 is the first power consumed by a heat pump to achieve a water temperature set-point (R(i)), P 2 is the second power consumed by a resistive heating element to achieve the water temperature set-point (R(i)), and C rate is an electricity rate; changing the water temperature set-point; solving the objective function for the optimized water temperature set-point with the changed water temperature set-point; repeating the changing and the solving until the minimization is achieved; and adjusting at least one of the resistive heating element or the heat pump to heat the water to the optimized water temperature set-point. 11. The method of claim 10 , wherein the objective function is also a function of a future water volume usage prediction, and the future water volume usage prediction is at least partially determined by historical water volume usage data. 12. The method of claim 11 , wherein the historical water usage data are determined by defining a first time period; defining a second time period by dividing the first time period by an integer (N); defining a third time period by dividing the second time period by an integer (I) to create N*I consecutive time intervals, wherein each time interval is about equal to the third time period; and collecting consecutive measurements of actual water flow and water temperature data for each consecutive time interval as the historical usage data. 13. The method of claim 12 , wherein the first time period equals about 14 days, the second time period equals about 1 day for an N of about 14, and the third time period is about 30 minutes for an I of about 48.
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