Harnessing artesian aquifer energy modulating piezoelectric springs

US12228104B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-12228104-B2
Application numberUS-202318313451-A
CountryUS
Kind codeB2
Filing dateMay 8, 2023
Priority dateMay 8, 2023
Publication dateFeb 18, 2025
Grant dateFeb 18, 2025

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Abstract

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The present inventive concept provides for a method of harnessing artesian aquifer power. The method includes obtaining weather data and artesian aquifer data for a geolocation. Weather features and artesian aquifer features are extracted from the obtained weather data and artesian aquifer data, respectively. Compression and decompression events are predicted for water in an artesian well at the geolocation by mapping the weather features and the artesian aquifer features. A plurality of piezoelectric springs connected to the artesian well are modulated to maximize artesian aquifer energy harnessed based on the predicted compression and decompression events.

First claim

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What is claimed is: 1. A method of harnessing artesian aquifer power, the method comprising: obtaining weather data and artesian aquifer data for a geolocation; extracting weather features from the weather data and artesian aquifer features from the artesian aquifer data, wherein the weather features and the artesian aquifer features impact compression and decompression of water in an artesian well tapping an artesian aquifer; predicting compression and decompression events for the water in the artesian well at the geolocation based on the weather features and the artesian aquifer features; and maximizing artesian aquifer energy harnessed by a plurality of piezoelectric springs connected to the artesian well by dynamically modulating a resonance frequency of the plurality of piezoelectric springs based on the predicted compression and decompression events for the water in the artesian well. 2. The method of claim 1 , wherein the dynamically modulated resonance frequency of the piezoelectric springs is synchronized with frequencies of the predicted compression and decompression events. 3. The method of claim 1 , wherein dynamically modulating the resonance frequency of the piezoelectric springs includes changing a stiffness coefficient of the piezoelectric springs by applying a DC voltage. 4. The method of claim 1 , wherein dynamically modulating the plurality of piezoelectric springs is performed when harnessed energy is calculated to exceed the energy cost of modulation by a predetermined threshold. 5. The method of claim 1 , further comprising: varying a height of the plurality of piezoelectric springs within the artesian well. 6. The method of claim 1 , further comprising: adjusting the flow rate of a nearby flowing artesian well at the geolocation. 7. A computer program product for harnessing artesian aquifer power, the computer program product comprising: one or more computer-readable storage media and program instructions stored on the one or more computer-readable storage media capable of performing a method, the method comprising: obtaining weather data and artesian aquifer data for a geolocation; extracting weather features from the weather data and artesian aquifer features from the artesian aquifer data, wherein the weather features and the artesian aquifer features impact compression and decompression of water in an artesian well tapping an artesian aquifer; predicting compression and decompression events for the water in the artesian well at the geolocation based on the weather features and the artesian aquifer features; and maximizing artesian aquifer energy harnessed by a plurality of piezoelectric springs connected to the artesian well by dynamically modulating a resonance frequency of the plurality of piezoelectric springs based on the predicted compression and decompression events for the water in the artesian well. 8. The computer program product of claim 7 , wherein the dynamically modulated resonance frequency of the piezoelectric springs is synchronized with frequencies of the predicted compression and decompression events. 9. The computer program product of claim 7 , wherein dynamically modulating the resonance frequency of the piezoelectric springs includes changing a stiffness coefficient of the piezoelectric springs by applying a DC voltage. 10. The computer program product of claim 7 , wherein dynamically modulating the plurality of piezoelectric springs is performed when harnessed energy is calculated to exceed the energy cost of modulation by a predetermined threshold. 11. The computer program product of claim 7 , further comprising: varying a height of the plurality of piezoelectric springs within the artesian well. 12. The computer program product of claim 7 , further comprising: adjusting the flow rate of a nearby flowing artesian well at the geolocation. 13. A computer system for harnessing artesian aquifer power, the computer system comprising: one or more computer processors, one or more computer-readable storage media, and program instructions stored on the one or more of the computer-readable storage media for execution by at least one of the one or more processors capable of performing a method, the method comprising: obtaining weather data and artesian aquifer data for a geolocation; extracting weather features from the weather data and artesian aquifer features from the artesian aquifer data, wherein the weather features and the artesian aquifer features impact compression and decompression of water in an artesian well tapping an artesian aquifer; predicting compression and decompression events for the water in the artesian well at the geolocation based on the weather features and the artesian aquifer features; and maximizing artesian aquifer energy harnessed by a plurality of piezoelectric springs connected to the artesian well by dynamically modulating a resonance frequency of the plurality of piezoelectric based on the predicted compression and decompression events for the water in the artesian well. 14. The computer system of claim 13 , wherein the dynamically modulated resonance frequency of the piezoelectric springs is synchronized with frequencies of the predicted compression and decompression events. 15. The computer system of claim 13 , wherein dynamically modulating the resonance frequency of the piezoelectric springs includes changing a stiffness coefficient of the piezoelectric springs by applying a DC voltage. 16. The computer system of claim 13 , wherein dynamically modulating the plurality of piezoelectric springs is performed when harnessed energy is calculated to exceed the energy cost of modulation by a predetermined threshold. 17. The computer system of claim 13 , further comprising: varying a height of the plurality of piezoelectric springs within the artesian well.

Assignees

Inventors

Classifications

  • making use of surplus or waste energy · CPC title

  • to optimise the performance of a machine · CPC title

  • Water level · CPC title

  • Controlling (controlling in general G05 {; regulation of plants characterised by the use of siphons F03B13/086}) · CPC title

  • F03B13/06Primary

    Stations or aggregates of water-storage type, {e.g. comprising a turbine and a pump}(turbines characterised by having means for functioning alternatively as pumps F03B3/10) · CPC title

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What does patent US12228104B2 cover?
The present inventive concept provides for a method of harnessing artesian aquifer power. The method includes obtaining weather data and artesian aquifer data for a geolocation. Weather features and artesian aquifer features are extracted from the obtained weather data and artesian aquifer data, respectively. Compression and decompression events are predicted for water in an artesian well at th…
Who is the assignee on this patent?
IBM
What technology area does this patent fall under?
Primary CPC classification F03B13/06. Mapped technology areas include Mechanical Engineering.
When was this patent published?
Publication date Tue Feb 18 2025 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 2 related publications on this page (citations in our corpus or others sharing the same primary CPC).