CN-121997488-A - Collaborative regulation and control optimization method for multi-nano-channel ion permeation energy conversion device

CN121997488ACN 121997488 ACN121997488 ACN 121997488ACN-121997488-A

Abstract

A collaborative regulation optimization method for a multi-nanochannel ion permeation energy conversion device comprises the steps of determining structural parameters of the ion permeation energy conversion device, constructing a geometric model comprising a high-concentration liquid storage tank, a low-concentration liquid storage tank and a plurality of nanochannels connected in parallel, calculating surface charge density sigma of the inner surface and the outer surface of the nanochannels, calculating conductance G total and diffusion potential E diff of the ion permeation energy conversion device, calculating device power density P d under different nanochannel numbers to obtain a curve of the power density P d changing along with the number N of nanochannels, determining Nlsr MP corresponding to the maximum value of the power density P d , obtaining the curve of the power density changing along with the number N of the P d nanochannels in a parameter area corresponding to the Nlsr MP value, and determining the maximum power density P d,MP of the ion permeation energy conversion device and the corresponding optimal structural parameters according to the curve.

Inventors

QU ZHIGUO
ZHANG XU
Tang Zetian
FU MINGXUAN

Assignees

西安交通大学

Dates

Publication Date: 20260508
Application Date: 20251231

Claims (10)

1. The collaborative regulation and control optimization method of the multi-nano-channel ion permeation energy conversion device is characterized by comprising the following steps of: Step S100, determining structural parameters of the ion permeation energy conversion device, wherein the structural parameters at least comprise a liquid storage tank length L r and a nanochannel radius R n , and determining a liquid storage tank radius R r and a regulating and controlling range of the nanochannel length L n ; Step 200, constructing a geometric model comprising a high-concentration liquid storage tank, a low-concentration liquid storage tank and a plurality of nanochannels connected in parallel between the high-concentration liquid storage tank and the low-concentration liquid storage tank based on the structural parameters; step S300, calculating the surface charge density sigma of the inner surface and the outer surface of the nano channel based on a surface charge density model of ion specific adsorption; Step S400, calculating the conductance G total and the diffusion potential E diff of the ion permeation energy conversion device based on the geometric model, the surface charge density sigma and the solution concentration distribution; Step S500, calculating the power density P d of the device under different nano channel numbers based on the conductance G total and the diffusion potential E diff to obtain a curve of the power density P d changing along with the nano channel number N; Step S600, determining a dimensionless number Nlsr of the number N of the nanochannels and the length L n of the nanochannels corresponding to the maximum value of the power density P d based on a curve of the power density P d changing along with the number N of the nanochannels, and recording as Nlsr MP ; And S700, acquiring a curve of the power density P d changing along with the number N of the nano channels in a parameter area corresponding to the Nlsr MP value, and determining the maximum power density P d,MP of the ion permeation energy conversion device and the corresponding optimal structural parameter according to the curve.
2. The method of claim 1, wherein the geometric model constructed in step S200 preferably satisfies the condition that the high concentration reservoir and the low concentration reservoir have the same reservoir length L r and reservoir radius R r .
3. The method of claim 1, wherein the geometric model constructed in step S200 satisfies the condition that the plurality of nanochannels have the same channel radius R n and channel length L n .
4. The method according to claim 1, wherein the surface charge density σ in step S300 is calculated by the formula: , Wherein F is Faraday constant; K A is the reaction equilibrium constant of the reaction of surface negative charge generated by hydrolysis of surface silicon hydroxyl-SiOH and hydronium ion, K B is the reaction equilibrium constant of the protonation reaction of surface silicon hydroxyl-SiOH, K C is the reaction equilibrium constant of the specific adsorption reaction of surface silicon hydroxyl-SiOH and surface position cation (non-hydronium ion); The concentration of hydronium ion H 3 O + at the surface position; is the cation concentration at the surface location.
5. The method according to claim 1, wherein the conductance G total of the device in step S400 is calculated by the formula: , Wherein R n is the radius of the nanochannel, k b is the molar conductivity, c H is the opening boundary concentration of a high-concentration liquid storage tank, c L is the opening boundary concentration of a low-concentration liquid storage tank, nlsr is a dimensionless number representing the association relationship of the number of nanochannels and the length L n of the nanochannels, L r is the length of the liquid storage tank, c ξ is the concentration drop of the liquid storage tank, beta is a conductivity correction factor, and R n is the radius of the nanochannel; Is an average conductivity correction factor, and l Du is Dukhin length.
6. The method according to claim 1, wherein in step S400, the calculation formula of the diffusion potential E diff of the device is: , Wherein c H is the opening boundary concentration of the high-concentration liquid storage tank, and c L is the opening boundary of the low-concentration liquid storage tank And c ξ is the concentration drop of the liquid storage tank.
7. The method according to claim 1, wherein the power density P d in step S500 is calculated by the formula: , Wherein E diff is the diffusion potential, G total is the conductance, and R r is the reservoir radius.
8. The method according to claim 1, wherein the calculation formula of Nlsr numbers (Nlsr MP ) corresponding to the maximum power density in step S600 is: , Wherein L r is the length of the liquid storage tank, L n is the length of the nano-channel, and N MP is the number of nano-channels corresponding to the ion permeation energy conversion device structure when the power density reaches the maximum value.
9. A computer storage medium comprising computer instructions which, when run on a computer, cause the computer to perform the method of any of claims 1-8.
10. An electronic device, the electronic device comprising: A memory, a processor, and a computer program stored on the memory and executable on the processor, wherein, The processor, when executing the program, implements the method of any one of claims 1-8.

Description

Collaborative regulation and control optimization method for multi-nano-channel ion permeation energy conversion device Technical Field The present disclosure belongs to the technical field of renewable energy source utilization, and in particular relates to a structural design and performance optimization method of an ion permeation energy conversion device, which is particularly suitable for an ion permeation energy conversion device based on parallel connection of multiple nano channels. Background The ion permeation energy conversion technology is used as a core way for directly converting huge salt difference energy (the global river inflow sea entrance permeation energy reserves reach 2 TW) into electric energy, and is a key direction for realizing the efficient utilization of renewable energy. In order to meet the requirement of practical application on the generated power, a technical scheme of parallel connection of multiple nano channels is generally adopted in the industry at present to improve ion permeability and overall generated power, but the scheme faces core technical contradiction, namely the number and length of the nano channels have reverse regulation and control effects on ion selectivity and permeability, so the number-length regulation and control of the nano channels become core requirements for improving the output performance of the device. The current mainstream design method for regulating and controlling the nano channel structure takes a single channel model as a core, but has obvious technical limitations, and is difficult to adapt to the optimization requirement of multi-channel parallel connection. Meanwhile, the accurate representation of the surface charge density is a core functional basis of the ion selectivity of the nanochannels, and the description accuracy directly determines the effectiveness of the number-length regulation of the nanochannels. It has been demonstrated that ion-specific adsorption directly regulates channel surface charge density and attenuates the double electric layer effect. In the traditional power generation simulation, the specific adsorption of cations and channel surface functional groups and the shielding effect of the cations and the channel surface functional groups on the surface charge density are ignored, and the cooperative regulation and control of the number and the length of the nanochannels lose a reliable physical basis, so that the actual power generation rule cannot be reflected. At present, a multi-nano-channel collaborative regulation and control method which has both accuracy and high efficiency is not formed in the industry, and a surface charge density model and a performance rapid optimization method which consider ion specific adsorption are lacked, so that the optimal design of the multi-channel ion permeation energy conversion device stays in a trial-and-error research and development stage for a long time. Therefore, it is necessary to develop a surface charge density model considering ion-specific adsorption, and further develop an efficient nanochannel number-length synergistic regulation optimization method. The above information disclosed in the background section is only for enhancement of understanding of the background of the disclosure and therefore may contain information that does not form the prior art that is already known in the country to a person of ordinary skill in the art. Disclosure of Invention Aiming at the problems existing in the prior art, the disclosure provides a collaborative regulation and control optimization method of a multi-nano-channel ion permeation energy conversion device, which comprises the following steps: Step S100, determining structural parameters of the ion permeation energy conversion device, wherein the structural parameters at least comprise a liquid storage tank length L r and a nanochannel radius R n, and determining a liquid storage tank radius R r and a regulating and controlling range of the nanochannel length L n; Step 200, constructing a geometric model comprising a high-concentration liquid storage tank, a low-concentration liquid storage tank and a plurality of nanochannels connected in parallel between the high-concentration liquid storage tank and the low-concentration liquid storage tank based on the structural parameters; step S300, calculating the surface charge density sigma of the inner surface and the outer surface of the nano channel based on a surface charge density model of ion specific adsorption; Step S400, calculating the conductance G total and the diffusion potential E diff of the ion permeation energy conversion device based on the geometric model, the surface charge density sigma and the solution concentration distribution; Step S500, calculating the power density P d of the device under different nano channel numbers based on the conductance G total and the diffusion potential E diff to obtain a curve of the power density P d changing along wi