A solar full-spectrum combined cooling, heating and power system and method based on spectral frequency division

Abstract

The application discloses a solar full-spectrum combined cooling, heating and power system and method based on spectral frequency division, and relates to the technical field of comprehensive utilization of solar energy. The system comprises a sunlight spectrum space distribution reconstruction module, a spectral energy directional migration distribution module, an infrared thermal energy step-by-step absorption conversion module and a cold, heat and power energy collaborative regulation module. The light propagation space is divided into spectral occupation units and closed-loop compensation is carried out to generate stable spectral structure; a waveband migration network is established according to photovoltaic, heat load and ambient temperature, directional distribution of visible light, near-infrared and far-infrared energy is completed; multi-stage infrared absorption units are adopted to output high, medium and low grade heat energy; and the power supply, heat supply and refrigeration path distribution proportion is reconstructed in combination with photovoltaic output, heat storage, cold and heat load and ambient change. The application avoids energy grade loss caused by mixed use of spectrum, improves the utilization efficiency of solar full-spectrum, and reduces the refrigeration power consumption.

Description

Technical Field

[0001] This invention relates to the field of solar energy comprehensive utilization technology, specifically to a solar full-spectrum combined cooling, heating and power system and method based on spectral frequency division. Background Technology

[0002] Existing integrated solar energy utilization systems typically use photovoltaic (PV) or solar thermal (SP) modules to convert solar radiation energy in a single form. PV modules mainly utilize the visible light band for electrical energy conversion, while the inefficiently utilized near-infrared and far-infrared bands are easily converted into heat. This not only reduces the efficiency of solar energy utilization but also causes the temperature of PV modules to rise, affecting the stability of power output. At the same time, existing PV-SP systems usually allocate solar energy input according to a fixed ratio, without considering the shading, attenuation, and concentration response changes of sunlight during its propagation in space, as well as the dynamic matching relationship between different heating and cooling loads. This results in the inability to continuously adjust different spectral energies according to the actual operating conditions, making it difficult to achieve efficient utilization of the full spectrum of solar energy and synergistic output of heating, cooling, and electricity. Summary of the Invention

[0003] The purpose of this invention is to solve the problems of fixed energy distribution in different spectral bands, difficulty in correcting spatial propagation loss, and inability to coordinate the regulation of photovoltaic, thermal energy and cooling / heating loads in the existing solar energy utilization process. Therefore, this invention proposes a solar full-spectrum combined cooling, heating and power system and method based on spectral frequency division.

[0004] The objective of this invention can be achieved through the following technical solutions:

[0005] In a first aspect, the present invention provides a solar full-spectrum combined cooling, heating and power system based on spectral frequency division, comprising: a solar spectral spatial distribution reconstruction module, a spectral energy directional migration and distribution module, an infrared thermal energy cascade absorption and conversion module, and a combined cooling, heating and power energy regulation module;

[0006] The solar spectral spatial distribution reconstruction module divides the light propagation space into multiple spectral occupancy units, establishes the spectral occupancy potential based on the solar incidence angle, spatial shading state, atmospheric attenuation state, and focusing response state, and generates a spectral migration folding angle sequence based on the differences between adjacent spectral occupancy units. The spectral propagation state is corrected through a continuous compensation loop to generate a stable spectral structure.

[0007] The spectral energy directional migration and allocation module establishes a band demand coupling relationship based on the stable spectral structure, photovoltaic power generation demand, heat load demand, and ambient temperature. It also constructs a band migration network by combining the spectral migration fold angle sequence to perform directional migration of visible light, near-infrared light, and far-infrared light, generating spectral energy directional allocation results.

[0008] The infrared thermal energy gradient absorption and conversion module establishes a multi-level infrared thermal energy absorption unit based on the directional distribution of spectral energy, and realizes the graded conversion of infrared thermal energy through the infrared thermal energy residence potential and the infrared thermal energy gradient absorption chain.

[0009] The coordinated regulation module for cooling, heating, and electricity establishes an energy path reconstruction matrix based on the stable spectral structure, the directional distribution of spectral energy, and the results of thermal energy reduction utilization, combined with photovoltaic output status, thermal storage status, cooling and heating load demand, and environmental change information, to achieve coordinated regulation of power supply, heating, and cooling paths.

[0010] As a preferred embodiment of the present invention, the solar spectrum spatial distribution reconstruction module divides the light propagation space formed between the building surface, the ground acquisition area and the concentrating device into multiple spectral occupancy units.

[0011] The spectral occupancy unit acquires the solar incidence angle, spatial shading state, atmospheric attenuation state, and focusing response state, respectively. The solar incidence angle is used to characterize the angular relationship between sunlight and the light-receiving surface of the focusing device. The spatial shading state is used to characterize the degree of influence of building components on the propagation path of sunlight. The atmospheric attenuation state is used to characterize the degree of energy loss of sunlight during propagation. The focusing response state is used to characterize the effective reception capability of the focusing device for incident sunlight.

[0012] As a preferred embodiment of the present invention, the solar spectral spatial distribution reconstruction module calculates the spectral occupancy potential based on the solar incidence angle, spatial shading state, atmospheric attenuation state, and light concentration response state.

[0013] The spectral occupancy potential characterizes the ability of a spectral occupancy unit to maintain the continuous propagation of sunlight; the solar spectral spatial distribution reconstruction module calculates the occupancy difference degree based on the difference in spectral occupancy potential between adjacent spectral occupancy units, and calculates the spectral migration folding angle based on the occupancy difference degree; the spectral migration folding angle describes the degree of change in the spectral propagation state

[0014] In a preferred embodiment of the present invention, the solar spectrum spatial distribution reconstruction module calculates the fold continuity retention value based on the variation relationship between adjacent spectral migration fold angles;

[0015] The folded continuous hold value describes the degree of continuity of the spectral propagation state between adjacent spectral occupancy units; the solar spectral spatial distribution reconstruction module calculates the compensation center value based on the neighborhood range of the spectral occupancy unit, the initial spectral occupancy potential, and the folded continuous hold value, and calculates the compensation deviation value based on the difference between the current spectral occupancy potential and the compensation center value; the compensation intensity coefficient is determined based on the compensation deviation value, and the compensation increment is calculated to adjust the spectral occupancy potential and form a continuous compensation loop.

[0016] As a preferred embodiment of the present invention, the solar spectral spatial distribution reconstruction module calculates the spectral contribution value of the visible light band, the spectral contribution value of the near-infrared band, and the spectral contribution value of the far-infrared band based on the compensated spectral occupancy potential and the corresponding response ratios of the visible light band, the near-infrared band, and the far-infrared band.

[0017] The spectral recovery coefficients for each band are calculated based on the spectral contribution value and the compensation deviation value. The stable spectral structure includes the spectral recovery coefficients for the visible band, the near-infrared band, and the far-infrared band, as well as the spectral migration folding angle sequence.

[0018] As a preferred embodiment of the present invention, the spectral energy directional migration allocation module establishes target demand quantities for the visible light band, near-infrared band, and far-infrared band respectively based on the stable spectral structure, photovoltaic power generation demand, heat load demand, and ambient temperature.

[0019] The target band demand coupling potential is calculated based on the target demand, the spectral restitution coefficient of the corresponding band, and the environmental adaptability factor; the target band demand coupling potential is used to characterize the matching relationship between the corresponding spectral band and energy demand.

[0020] In a preferred embodiment of the present invention, the spectral energy directional migration allocation module calculates the target band migration acceptance value based on the target band demand coupling potential, the compensated spectral occupancy potential, and the spectral migration folding angle.

[0021] The migration continuity value is calculated based on the target band migration acceptance value between adjacent spectral occupiers; the remaining energy value is calculated based on the migration continuity value, and the backflow influence value is calculated based on the remaining energy value in the neighborhood and the migration continuity state; the migration compensation amount is calculated based on the relationship between the backflow influence value and the remaining energy value, and the target band migration acceptance value is updated to generate the spectral energy orientation allocation result.

[0022] As a preferred embodiment of the present invention, the infrared thermal energy cascade absorption and conversion module includes multiple infrared thermal energy absorption units arranged in the direction of infrared energy propagation.

[0023] The infrared thermal energy absorption unit acquires the current stage temperature state, the current stage internal heat storage state, the current stage thermal response coefficient, and the current stage received infrared energy state; it calculates the infrared thermal energy retention potential based on the current stage received infrared energy state, the current stage thermal response coefficient, the current stage internal heat storage state, and the current stage temperature state; it calculates the thermal migration matching value based on the infrared thermal energy retention potential between adjacent infrared thermal energy absorption units, and calculates the cascade connection strength based on the thermal migration matching value and the difference in thermal response coefficient between adjacent infrared thermal energy absorption units, thus forming an infrared thermal energy cascade absorption chain.

[0024] Secondly, the present invention provides a method for solar full-spectrum combined cooling, heating and power supply based on spectral frequency division, comprising:

[0025] Step 1: Divide the light propagation space enclosed by the building surface, the ground acquisition area, and the focusing device into multiple spectral occupancy units, obtain the solar incidence angle, spatial shading state, atmospheric attenuation state, and focusing response state, calculate the spectral occupancy potential, spectral migration folding angle, and folding continuity retention value, and correct local propagation anomaly areas through a continuous compensation loop to generate a stable spectral structure composed of spectral recovery coefficients and spectral migration folding angle sequences in the visible, near-infrared, and far-infrared bands.

[0026] Step 2: Based on the stable spectral structure, photovoltaic power generation demand, heat load demand and ambient temperature, calculate the demand coupling potential corresponding to the visible light, near-infrared and far-infrared bands, establish a band migration network with spectral occupancy units as nodes, calculate the migration acceptance value and migration continuity value, update the migration acceptance value through residual energy return and migration compensation, and generate a spectral energy orientation allocation result containing the final migration contribution and migration consistency coefficient of the three bands.

[0027] Step 3: Based on the near-infrared final migration contribution and far-infrared final migration contribution in the spectral energy orientation allocation results, set up multi-stage cascaded infrared thermal energy absorption units, calculate the infrared thermal energy residence potential, thermal migration matching value and step-by-step connection strength, and perform migration compensation based on the unabsorbed residual thermal energy to update the infrared energy state received at each stage and generate thermal energy de-order utilization results.

[0028] Step 4: Based on the stable spectral structure, spectral energy orientation distribution results, and thermal energy reduction utilization results, combined with photovoltaic output power, thermal storage capacity, cooling and heating load requirements, and ambient temperature, calculate the energy state offset and cooling-heating-electric coupling matching coefficient, and determine the energy distribution ratio based on the matching relationship of the power supply path, heating path, and cooling path.

[0029] Step 5: Adjust the allocation ratio of power supply path, heating path and cooling path according to ambient temperature, reference operating temperature and cooling load demand to generate a cooling, heating and electricity coordinated operation state. Feedback the cooling, heating and electricity coordinated operation state to the spectral energy directional migration and distribution process and the infrared thermal energy cascade absorption and conversion process to form a closed-loop control between stable spectral structure, spectral energy directional distribution result, thermal energy reduction utilization result and cooling, heating and electricity coordinated operation state.

[0030] Compared with existing technologies, this invention reconstructs the spectral occupancy state in the solar propagation space, and uses spectral occupancy potential and continuous compensation mechanisms to correct spectral propagation differences caused by different spatial locations, thereby improving the stability of energy distribution in different spectral bands. It achieves dynamic allocation of visible, near-infrared, and far-infrared energy through a band migration network, and enhances infrared thermal energy utilization by utilizing an infrared thermal energy gradient absorption chain, expanding solar energy from a single photoelectric conversion to a coordinated supply of photovoltaic, thermal, and cooling / heating loads. By adjusting the power supply, heating, and cooling paths according to ambient temperature and cooling / heating load requirements, it achieves dynamic matching of solar energy across the entire spectrum, improving the overall efficiency and operational stability of solar energy utilization. Attached Figure Description

[0031] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings.

[0032] Figure 1 This is a block diagram of the modules of the present invention;

[0033] Figure 2 This is a flowchart of the steps of the present invention. Detailed Implementation

[0034] The technical solution of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0035] It should be understood that the terms “comprising” and “including” used in this disclosure and claims indicate the presence of the described features, integrals, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or collections thereof.

[0036] It should also be understood that the terminology used in this disclosure is for the purpose of describing particular embodiments only and is not intended to limit the disclosure. As used in this disclosure and claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used in this disclosure and claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes such combinations.

[0037] Figure 1As shown, the present invention provides a solar full-spectrum combined cooling, heating and power system based on spectral frequency division, comprising: a solar spectral spatial distribution reconstruction module, a spectral energy directional migration and distribution module, an infrared thermal energy cascade absorption and conversion module, and a combined cooling, heating and power energy regulation module.

[0038] The solar spectral spatial distribution reconstruction module analyzes the light energy propagation relationship between the building surface, the ground collection area, and the concentrator. It establishes a spectral spatial mapping relationship by collecting multi-dimensional data such as building geometry, concentrator orientation, solar position, and atmospheric transmittance. Based on the attenuation characteristics of light energy in different wavelength bands during spatial propagation, it optimizes the transmission path of sunlight before it enters the back-end conversion equipment to obtain a stable spectral structure.

[0039] Based on a stable spectral structure, the spectral energy directional migration and distribution module dynamically plans the energy flow direction in different spectral regions according to the real-time power demand, heat load demand, and ambient temperature changes of the photovoltaic power generation side. This allows visible light, near-infrared light, and far-infrared light to enter their respective utilization channels, thus completing the directional migration and distribution of light energy.

[0040] In the infrared thermal energy cascade absorption and conversion module, the infrared light, after being frequency-divided by the spectral energy directional migration and distribution module, is introduced into multiple photothermal conversion units arranged in series. The heat-absorbing units at different temperature levels absorb infrared radiation energy sequentially according to their own thermal response capabilities, and establish heat transfer relationships based on the flow state of the heat-conducting medium.

[0041] The combined cooling, heating, and power (CCHP) energy control module acquires real-time information on photovoltaic output status, thermal storage status, cooling and heating load demands, and environmental changes. It establishes the conversion relationship between electrical energy, thermal energy, and cooling energy, and automatically adjusts the spectral distribution ratio and energy output mode according to different operating cycles. During summer operation, thermal energy is prioritized to drive cooling equipment, reducing cooling power consumption and air conditioning load. During winter operation, infrared thermal energy is used for heating while maintaining photovoltaic power generation output, thus forming an adaptive CHP operation mode for buildings, industrial parks, and integrated energy stations.

[0042] Specifically, in the solar spectral spatial distribution reconstruction module, the light propagation space enclosed by the building surface, the ground acquisition area, and the focusing device is divided into continuously arranged spatial micro-regions using a uniform grid. Each spatial micro-region corresponds to a spectral occupancy unit, which describes the influence of that spatial location on the sunlight propagation process. The total number of spectral occupancy units is a positive integer, denoted as N. N is preset based on the size of the light propagation space and the required computational accuracy; in this embodiment, N is 10000. When running in low computational load mode, N can be set to any integer within the range of 1000 to 10000.

[0043] Each spectral unit records four basic states: solar incidence angle, spatial occupancy, atmospheric attenuation, and light concentration response.

[0044] The spectral occupancy units are numbered sequentially from the 1st to the Nth. The state of any spectral occupancy unit is represented as: Current spectral occupancy unit state = (Current solar incidence angle, Current spatial occlusion state, Current atmospheric attenuation state, Current focusing response state). Where: The current solar incidence angle is the angle between the sunlight and the normal to the light-receiving surface of the focusing device, determined by the sun's position and the orientation of the focusing device. When sunlight does not reach the light-receiving surface of the focusing device, i.e., when the current solar incidence angle is greater than 90 degrees, the corresponding effective incidence coefficient is set to 0.

[0045] The current spatial shading state is determined based on the ratio of the overlapping area of ​​the building components and the path of sunlight to the cross-sectional area of ​​the spectral unit. Here, 0 indicates that there is no effective attenuation of sunlight in the current propagation path, and 1 indicates that sunlight cannot pass through at all in the current propagation path.

[0046] The current atmospheric attenuation state is obtained from the atmospheric attenuation characteristics of the current spatial propagation range, with a value ranging from 0 to 1. 0 represents complete transmission, i.e., no attenuation; 1 represents complete non-transmission, i.e., complete attenuation. To avoid a denominator of 0, when the current atmospheric attenuation state is equal to 1, it is used in the calculation as 0.999, and in this case, subtracting the current atmospheric attenuation state from the denominator equals 0.001.

[0047] The current concentrating response state represents the effective reception capability of the concentrator for incident sunlight at the current spectral unit position. Reflective concentrators use reflectivity as the response parameter, while absorptive concentrators use absorptivity. When the concentrator incorporates both reflection and absorption processes, the ratio of effective energy entering the downstream energy conversion equipment to the incident energy is used as the current concentrating response state. The current concentrating response state ranges from 0 to 1, where 0 represents no effective response and 1 represents complete response.

[0048] Subsequently, the spectral occupancy potential is established; the spectral occupancy potential characterizes the ability of each spectral occupancy unit to maintain the continuous propagation of spectral energy under the current propagation state. The larger the value, the stronger the effective support capability of the corresponding spatial location for the propagation of sunlight.

[0049] The current spectral occupancy potential is equal to: the current spatial occupancy state multiplied by the cosine of the current solar incidence angle multiplied by the current focusing response state, multiplied by the negative of the natural constant e, the current atmospheric decay state divided by 1 - the quotient of the current atmospheric decay state raised to the power of the quotient.

[0050] The exponential term described above represents the continuous attenuation effect of atmospheric decay on spectral retention capability. As atmospheric decay increases, the output value of the exponential term decreases, thereby reducing the effective propagation capability of the corresponding spectral unit.

[0051] When any basic state is 0, the spectral occupancy potential of the spectral occupancy unit is 0, indicating that the unit has no spectral residency capability.

[0052] For subsequent calculations, a small correction value of 10 is set. -6 This is used to prevent the denominator from being 0.

[0053] After calculating all spectral occupancy potentials, a migration fold surface is analyzed. Since the spectral occupancy potentials of adjacent spectral occupancy units may exhibit discontinuous changes due to occlusion, propagation distance, and differences in focusing response, a spectral migration fold surface is established to identify localized regions of change during spectral propagation. It is also noted that smooth propagation does not always occur between adjacent spectral occupancy units; localized spectral fold regions are formed, hence the need for a spectral migration fold surface.

[0054] Calculate the occupancy difference between any two adjacent spectral occupancy units. Adjacent spectral occupancy units refer to two consecutively numbered spectral occupancy units; only the first to N-1th adjacent unit combinations are calculated.

[0055] The current occupancy difference is equal to the absolute value of the difference between the current spectral occupancy potential and the adjacent next spectral occupancy potential, divided by the sum of the current spectral occupancy potential, the adjacent next spectral occupancy potential, and the small correction amount.

[0056] Subsequently, the spectral migration folding angle is calculated from the occupancy difference.

[0057] The current spectral migration fold angle is equal to the arctangent function value of the current occupancy difference. The unit of the spectral migration fold angle is radians. When the current occupancy difference is 0, the current spectral migration fold angle is 0; when the current occupancy difference is 1, the current spectral migration fold angle is one-quarter of the digit, approximately 0.7854 radians; when the current occupancy difference is between 0 and 1, the current spectral migration fold angle increases monotonically as the current occupancy difference increases.

[0058] The folding determination threshold is set to 0.05 radians; this threshold is obtained through system calibration and distinguishes between continuous propagation and localized propagation changes. When the current spectral migration folding angle is greater than 0.05 radians, the propagation interval is determined to have spectral folding; when the current spectral migration folding angle is less than or equal to 0.05 radians, the propagation interval is determined to be smooth propagation.

[0059] Arrange the 1st to N-1th spectral migration folding angles in the order of spectral occupied unit numbering to form a spectral migration folding angle sequence.

[0060] To avoid propagation interruption caused by local folding, a fold continuity value is calculated. The fold continuity value describes the effect of the degree of change in the fold angle between adjacent spectral migrations on the continuous propagation relationship, and its value ranges from 0 to 1.

[0061] The calculation process for the fold continuity value is as follows: The first fold continuity value is 1. For the second to the N-1th folds, the current fold continuity value is equal to the negative of the natural constant e, and the absolute value of the difference between the current spectral migration fold angle and the adjacent previous spectral migration fold angle. The N-th fold continuity value is 1.

[0062] When the difference between two adjacent spectral migration fold angles approaches 0, the fold continuity value approaches 1, indicating a gradual change in the propagation state. When the difference between two adjacent spectral migration fold angles increases, the fold continuity value decreases, indicating a stronger change in the propagation state. The Nth fold continuity value is set to 1 to ensure complete calculation at the sequence boundaries.

[0063] After completing the above calculations, a spectral continuity compensation loop is established. This loop utilizes the continuity between adjacent spectral occupancy units to spatially compensate for local propagation anomalies, ensuring the compensated spectral occupancy potential maintains spatial continuity.

[0064] For any spectral occupancy unit, a closed compensation relationship is formed through multiple neighboring regions.

[0065] Set the neighborhood radius, which represents the number of neighboring cells participating in the compensation calculation of the current spectral occupant cell. When the total number of spectral occupant cells N is less than 7, the neighborhood radius is set to 1; otherwise, the neighborhood radius is set to 3.

[0066] For each spectral occupancy cell, calculate the compensation center value. All compensation center values ​​are calculated uniformly based on the initial spectral occupancy potential and fold continuity preservation value before compensation: for the current spectral occupancy cell, the lower bound of the summation is the maximum of the current index minus the neighborhood radius and the first index, and the upper bound is the minimum of the current index plus the neighborhood radius and the Nth index.

[0067] The current compensation center value is equal to the sum of the products of the initial spectral occupancy potential of each spectral occupancy unit and the folded continuous retention value of that unit within the summation range, divided by the sum of all folded continuous retention values ​​within the summation range.

[0068] The deviation of the current spectral occupancy unit from the compensation center is then calculated. The current compensation deviation value is equal to the absolute value of the difference between the current spectral occupancy potential and the current compensation center value, divided by the sum of the current compensation center value and the small correction amount.

[0069] When the current compensation deviation value is greater than 0.2, it is determined that the current spectral occupier cell exhibits a decreasing trend in propagation continuity; when the current compensation deviation value is less than or equal to 0.2, it is determined that the current spectral occupier cell maintains a continuous propagation state. Here, 0.2 is the compensation deviation judgment threshold, which is preset based on the allowable propagation error range.

[0070] The closed-loop compensation increment is then calculated. The current compensation intensity coefficient equals the current compensation deviation value divided by the sum of the current compensation deviation values. The current compensation increment equals the difference between the current compensation center value and the current spectral occupancy potential, multiplied by the current compensation intensity coefficient. The compensation increment moves the current spectral occupancy potential closer to a continuous neighboring state; the compensation intensity coefficient limits the magnitude of a single adjustment, keeping the compensation process stable.

[0071] The final compensated spectral occupancy potential is obtained as follows: the current compensated spectral occupancy potential equals the current spectral occupancy potential plus the current compensation increment. The compensation increment causes the current spectral occupancy potential to converge towards the neighborhood compensation center value, and the compensation intensity coefficient limits the amplitude of a single compensation, preventing overcompensation and oscillations.

[0072] After compensation, all spectral occupancy units form a continuous closed-loop propagation structure. Subsequently, the continuous compensation loop enters the stable spectral structure generation stage. Based on the compensated spectral occupancy potential and the energy response ratios corresponding to different spectral bands, continuous occupancy matrices are established for the visible, near-infrared, and far-infrared bands, respectively. The continuous occupancy matrix describes the effective spectral distribution state of each spectral occupancy unit in its corresponding band.

[0073] The response ratio of each band in the current spectral occupancy unit is obtained by normalizing the energy distribution ratio of the beam-splitting film on the surface of the focusing device in the visible, near-infrared, and far-infrared bands. Specifically: for reflective beam-splitting films, the response ratio is the ratio of reflected energy to incident energy in the corresponding band; for transmissive beam-splitting films, the response ratio is the ratio of transmitted energy to incident energy in the corresponding band; when both reflection and transmission processes exist in the same spectral occupancy unit, the effective energy ratio entering the energy utilization channel of the corresponding band is used as the response ratio for that band. The response ratio for each band ranges from 0 to 1.

[0074] For the same spectral occupancy unit, the response ratios in the visible light band, near-infrared band, and far-infrared band satisfy the following equation: Visible light band response ratio + Near-infrared band response ratio + Far-infrared band response ratio = 1. The response ratio represents the distribution of solar energy among different utilization channels at the same spatial location.

[0075] For any target band, calculate the corresponding band spectral contribution value. The target band spectral contribution value is equal to the sum of the products of the current compensated spectral occupancy potential and the proportion of the target band response corresponding to the current spectral occupancy unit, from the 1st to the Nth spectral occupancy unit. The target band spectral contribution value characterizes the effective energy contribution of the corresponding band after spatial propagation compensation.

[0076] Subsequently, the cumulative compensation deviation level is set, and the spectral restoration coefficient of the target band is calculated. The spectral restoration coefficient of the target band is equal to: the spectral contribution value of the target band divided by 1 + (the reciprocal of the total number of spectral occupancy units × the sum of the current compensation deviation values ​​from the 1st to the Nth).

[0077] The 1 in the denominator is used to establish the baseline value under the state of no propagation deviation; the larger the average compensation deviation value, the more local discontinuous regions exist in the spatial propagation process, and the lower the spectral recovery coefficient of the corresponding band.

[0078] Substituting the values ​​of the visible light, near-infrared, and far-infrared bands into the above calculations, we obtain the spectral restoration coefficients for the visible light band, near-infrared band, and far-infrared band.

[0079] Finally, a stable spectral structure is generated for the entire space:

[0080] Stable spectral structure = (spectral restoration coefficient in visible light band, spectral restoration coefficient in near-infrared band, spectral restoration coefficient in far-infrared band, spectral migration folding angle sequence).

[0081] Wherein, the spectral migration folding angle sequence = (the first spectral migration folding angle, the second spectral migration folding angle, ..., the N-1th spectral migration folding angle).

[0082] Specifically, the spectral energy directional migration allocation module receives the output stable spectral structure. This stable spectral structure includes: the visible light band spectral restitution coefficient, the near-infrared band spectral restitution coefficient, the far-infrared band spectral restitution coefficient, and the spectral migration folding angle sequence.

[0083] The spectral restitution coefficients of three bands in the stable spectral structure are read to obtain the current operating status, including photovoltaic power generation demand, heat load demand, and ambient temperature. Specifically: photovoltaic power generation demand represents the current target power generation demand on the photovoltaic side, obtained from the inverter's operating status, in watts; heat load demand represents the current target heating demand on the thermal energy side, obtained from the thermal storage system's operating status, in watts; ambient temperature is obtained from an ambient temperature sensor, in degrees Celsius; the reference operating temperature is preset, defaulting to 25 degrees Celsius.

[0084] The target demand for the three bands is as follows: visible light target demand = photovoltaic power generation demand; near-infrared target demand = photovoltaic power generation demand and heating load demand; far-infrared target demand = heat load demand.

[0085] Among them, the near-infrared band has the potential for both photovoltaic conversion and thermal energy conversion, so the combined demand for electricity and thermal energy is taken as the corresponding target demand.

[0086] Since the three bands have different utilization methods for heating, cooling, and electricity, the demand coupling potential corresponding to each band is calculated. The target band demand coupling potential is equal to: the target band spectral restitution coefficient multiplied by the target band target demand divided by the sum of the visible light target demand, near-infrared target demand, and far-infrared target demand, and then multiplied by the sum of the negative target band environmental adaptability factor raised to the power of 1 ÷ 1 + natural constant e.

[0087] The target band demand coupling potential is used to describe the degree of matching between the current spectral state of the band and the energy demand state. The larger the value, the higher the degree of demand adaptation after the energy of the band enters the corresponding utilization channel.

[0088] The calculation process for the environmental adaptation factor is as follows: Visible light environmental adaptation factor = reference operating temperature divided by the difference between the reference operating temperature and the ambient temperature; Near-infrared environmental adaptation factor = reference operating temperature divided by the absolute value of the difference between the ambient temperature and the reference operating temperature; Far-infrared environmental adaptation factor = reference operating temperature divided by the difference between the ambient temperature and the reference operating temperature.

[0089] The above environmental adaptability factors describe the degree of adaptability of energy utilization paths in different frequency bands under different ambient temperature conditions.

[0090] When the ambient temperature is close to the reference operating temperature, to avoid calculation anomalies caused by the denominator approaching 0: if the absolute value of the denominator for the corresponding environmental adaptation factor is less than ε, then the denominator is replaced with ε in the calculation. Here, ε is taken as 10. -6 .

[0091] Three environmental adaptation factors correct the band demand matching relationship under different temperature conditions. When the ambient temperature is higher than the reference operating temperature, it is in a high-temperature operating state, and the cooling drive demand corresponding to the far-infrared thermal energy path increases; when the ambient temperature is lower than the reference operating temperature, it is in a low-temperature operating state, and the heating demand corresponding to the far-infrared thermal energy path increases.

[0092] After obtaining the coupling potentials for the three bands, a band migration network is established based on the spectral migration folding angle sequence. The band migration network uses spectral occupancy units as nodes and the spectral migration folding angle between adjacent spectral occupancy units as connection parameters. Here, nodes represent spatial light energy distribution locations, and connection parameters represent the spectral continuity migration capability between adjacent locations.

[0093] For the currently occupied spectral cell, calculate the target band migration acceptance value. The target band migration acceptance value is equal to: the target band demand coupling potential multiplied by the current compensated spectral occupancy potential multiplied by the cosine of the current spectral migration folding angle. The cosine of the current spectral migration folding angle is obtained by taking the cosine of the current spectral migration folding angle in the spectral migration folding angle sequence. When the currently occupied spectral cell is the Nth cell, its spectral migration folding angle is taken as the Nth minus 1st spectral migration folding angle to avoid the Nth cell having no defined folding angle.

[0094] The migration continuity relationship between adjacent spectral occupancy units was then analyzed.

[0095] The current migration continuity value is equal to: twice the current migration acceptance value multiplied by the next adjacent migration acceptance value, divided by the sum of the square of the current migration acceptance value, the square of the next adjacent migration acceptance value, and the small correction amount.

[0096] When both the current migration acceptance value and the adjacent next migration acceptance value are 0, the current migration continuity value is 1, indicating that there is no migration difference between adjacent units; when only one of them is 0, the current migration continuity value is 0, indicating that the migration continuity relationship between adjacent units is interrupted.

[0097] The current migration continuity value ranges from 0 to 1. The larger the current migration continuity value, the stronger the migration continuity relationship between adjacent spectral units. The Nth migration continuity value is 1, indicating that there is no subsequent migration difference at the end.

[0098] After performing the above calculations for the visible light, near-infrared, and far-infrared bands respectively, a continuous migration network for the corresponding bands is formed.

[0099] Since not all light energy enters the target utilization channel during continuous migration, a relationship for the return of residual energy is further established.

[0100] The current remaining energy value is equal to: the current migration carryover value multiplied by one minus the difference between the current migration continuity value.

[0101] Subsequently, to avoid local accumulation of residual energy, a reflow influence value is established. The reflow analysis neighborhood radius is set. When the total number of spectral cells N is less than 7, the reflow analysis neighborhood radius is set to 1; otherwise, it is set to 3.

[0102] For the currently occupied spectral cell, the lower bound of the summation is the larger of the current index minus the reflux analysis neighborhood radius and the first index, and the upper bound is the smaller of the current index plus the reflux analysis neighborhood radius and the Nth index.

[0103] The current backflow effect value is equal to the sum of the products of the remaining energy value of each spectral unit within the summation range and the migration continuity value of that unit, divided by the sum of all migration continuity values ​​within the summation range.

[0104] When the sum of continuous migration values ​​within the summation range is equal to 0, the current backflow impact value is 0, indicating that there is no backflow reference.

[0105] After obtaining the backflow impact value, the migration compensation amount is calculated. The current migration compensation amount is equal to: the difference between the current backflow impact value and the current remaining energy value, multiplied by the current remaining energy value, and then divided by the sum of the current backflow impact value plus a small correction amount raised to the power of (1 + natural constant e). The migration compensation amount means that when the local backflow impact value is higher than the remaining energy value, the remaining energy in the neighborhood will be migrated to that cell; when the backflow impact value is lower than the remaining energy value, the remaining energy of that cell will be migrated outwards. The denominator is used to suppress the amplitude of a single compensation and prevent overcompensation. When the current remaining energy value is 0, the current migration compensation amount is 0.

[0106] Final updated migration acceptance value: The current updated migration acceptance value equals the current migration acceptance value plus the current migration compensation amount.

[0107] The updated migration acceptance value forms a stable migration state.

[0108] After migration compensation was completed, the final migration capacity of the entire band migration network was statistically analyzed for the visible, near-infrared, and far-infrared bands respectively. The final migration capacity represents the degree of effective energy migration that the corresponding spectral band can enter the target utilization channel after migration continuity analysis and residual energy backflow compensation.

[0109] The final migration contribution of the target band is equal to the sum of the migration acceptance values ​​after the current update, from the 1st to the Nth band. Specifically, the final migration contribution for visible light corresponds to the final migration result of the visible light band; the final migration contribution for near-infrared corresponds to the final migration result of the near-infrared band; and the final migration contribution for far-infrared corresponds to the final migration result of the far-infrared band.

[0110] The overall migration consistency coefficient is then calculated. The migration consistency coefficient equals the sum of the final migration contributions from the visible light region, the near-infrared region, and the far-infrared region, divided by the total migration carryover value before compensation. The migration consistency coefficient evaluates the degree of consistency in the spectral energy transfer state before and after migration compensation.

[0111] The total migration acceptance value before compensation is the sum of the current migration acceptance values ​​for the visible light, near-infrared, and far-infrared bands from the first to the Nth value.

[0112] If the total migration capacity remains the same before and after compensation, the migration consistency coefficient will be close to 1; if the total migration capacity is reduced or increased after compensation, the migration consistency coefficient will be less than or greater than 1, respectively.

[0113] The final spectral energy orientation allocation result is: spectral energy orientation allocation result = (final migration contribution of visible light, final migration contribution of near-infrared light, final migration contribution of far-infrared light, migration consistency coefficient).

[0114] Specifically, in the infrared thermal energy gradient absorption conversion module, the output spectral energy orientation allocation result is received, and the infrared thermal energy gradient absorption process is established for the near-infrared final migration contribution and the far-infrared final migration contribution.

[0115] Before performing thermal energy analysis, the final migration contributions of the near-infrared and far-infrared rays are converted into thermal energy input. If the spectral energy orientation allocation result already uses Joules as the energy unit, it is directly input; if a normalized contribution value is used, it is converted using a preset energy calibration coefficient. Specifically: Thermal energy input = Spectral migration contribution value × Energy calibration coefficient. Wherein, the energy calibration coefficient is obtained through system calibration and is in Joules. When no calibration coefficient exists, the contribution value is processed according to the unit energy ratio based on the initial energy normalization relationship.

[0116] The total number of infrared thermal energy absorbing units is set to a positive integer, denoted as M. An infrared thermal energy absorbing unit represents an independent thermal conversion structure used to receive, store, and convert infrared radiation energy.

[0117] In this embodiment, M is set to 5, meaning five levels of infrared thermal energy absorption units are set; when using a simplified structure, M can be an integer greater than 3. The infrared thermal energy absorption units at each level are numbered sequentially according to the direction of infrared energy propagation as: Level 1, Level 2, ..., Level M.

[0118] The initial infrared energy states of each level are assigned values: the initial infrared energy state of level 1 = the final migration contribution of near-infrared; the initial infrared energy state of level M = the final migration contribution of far-infrared; and the initial infrared energy states of the remaining levels are set to 0.

[0119] Both the near-infrared final migration contribution and the far-infrared final migration contribution are processed according to the input energy within this control cycle, and the unit is uniformly joules.

[0120] The state of any level of infrared thermal energy absorption unit is represented as: Current level infrared thermal energy absorption unit state = (Current level current temperature state, Current level internal heat storage state, Current level thermal response coefficient, Current level infrared energy receiving state).

[0121] Wherein: the current temperature state of the current stage is obtained by the temperature detection element, and the unit is degrees Celsius; the internal heat storage state of the current stage is obtained by the product of the temperature rise of the heat conduction medium and the specific heat capacity of the heat conduction medium, and the unit is joules; the thermal response coefficient of the current stage is determined by the structural parameters of the heat absorption material and historical operating data. The thermal response coefficient represents the ability of the absorption unit to generate an effective thermal response to the input infrared energy. The value range is 0 to 1, dimensionless, 0 represents no thermal response, and 1 represents complete thermal response.

[0122] The current stage receives infrared energy status as the initial value assigned in this process, in joules.

[0123] The internal heat storage state at each level is determined by the instantaneous value at the current moment. Within the current heat energy conversion calculation cycle, the internal heat storage state remains unchanged. In the next control cycle, the cold, heat and electricity energy coordinated control module will update the state based on the operation feedback results.

[0124] To differentiate it from traditional heat calculations, an infrared thermal energy retention potential is established. The current stage infrared thermal energy retention potential is equal to: the current stage's received infrared energy state multiplied by the current stage's thermal response coefficient, divided by the absolute value of the difference between the current stage's current temperature state and the reference operating temperature, multiplied by the negative of the natural constant e, the current stage's internal heat storage state divided by the upper limit of the heat transfer medium's allowable heat storage capacity, raised to the power of the quotient.

[0125] Wherein: the current stage infrared thermal energy residence potential is a dimensionless relative quantity, characterizing the comprehensive ability of the current absorption unit to continue absorbing infrared energy; the temperature difference is calculated as a dimensionless number after dividing the value in degrees Celsius by one degree Celsius; the upper limit of allowable heat storage of the thermally conductive medium is determined by the physical properties of the heat storage medium, the unit is joules, and the value is greater than 0.

[0126] When the infrared energy state received by the current stage or the thermal response coefficient of the current stage is 0, the infrared thermal energy retention potential of the current stage is 0, indicating that the absorption unit has no infrared thermal energy retention capability.

[0127] When the current internal thermal storage state is equal to the upper limit of the thermal storage allowed by the heat transfer medium, the exponent term takes the negative first power of the natural constant e, indicating that when the current thermal storage state reaches the design capacity, the absorption capacity continues to decrease.

[0128] After calculating the infrared thermal energy residence potential of all infrared thermal energy absorbing units, an infrared thermal energy cascade absorption chain is established based on the thermal response differences between adjacent absorbing units.

[0129] Calculate the thermal migration matching value between adjacent infrared thermal energy absorbing units. The current stage thermal migration matching value is equal to: 2 times the current stage infrared thermal energy residence potential multiplied by the next stage infrared thermal energy residence potential, divided by the sum of the square of the current stage infrared thermal energy residence potential, the square of the next stage infrared thermal energy residence potential, and a small correction amount.

[0130] The current stage thermal migration matching value indicates the degree of thermal migration matching between the current stage and the next stage infrared thermal energy absorption unit.

[0131] The current stage thermal migration matching value ranges from 0 to 1. When both the current stage infrared thermal energy retention potential and the next stage infrared thermal energy retention potential are 0, the current stage thermal migration matching value is 1, indicating that there is no migration difference between adjacent units; when only one of them is 0, the current stage thermal migration matching value is 0, indicating that the migration continuity between adjacent units is interrupted.

[0132] The cascade connection strength between infrared thermal energy absorption units is then calculated. The current stage cascade connection strength is equal to: the current stage thermal migration matching value multiplied by the absolute value of the difference between the current stage thermal response coefficient and the next stage thermal response coefficient, divided by the absolute value of the difference between the current stage's current temperature state and the next stage's current temperature state.

[0133] Wherein: the absolute value of the difference between the thermal response coefficient of the current stage and the thermal response coefficient of the next stage represents the difference in thermal response capability between adjacent absorber units; the absolute value of the difference between the current temperature state of the current stage and the current temperature state of the next stage represents the relationship of temperature state change between adjacent absorber units; the temperature difference is divided by one degree Celsius and used as a dimensionless number in the calculation. The value of the current stage step-by-step connection strength ranges from 0 to 1. When the thermal response coefficients of adjacent absorber units are the same, the numerator is 0, the current stage step-by-step connection strength is 0, indicating no step-by-step connection.

[0134] An infrared thermal energy cascade absorption chain is formed based on the connection strength of all cascade levels: Infrared thermal energy cascade absorption chain = (1st cascade connection strength, 2nd cascade connection strength, ..., M-1th cascade connection strength).

[0135] Further calculations are performed on the residual thermal energy migration process. The residual thermal energy of the current stage is equal to: the infrared energy state received by the current stage multiplied by one minus the infrared thermal energy residence potential of the current stage divided by the difference in the maximum infrared thermal energy residence potential of all infrared thermal energy absorbing units.

[0136] Here, the residual thermal energy of the current stage represents the remaining energy in the current stage infrared thermal energy absorption unit that has not been effectively retained, and the unit is joules. When the maximum infrared thermal energy retention potential is 0, all residual thermal energy of the current stage is zero, indicating that no remaining energy participates in the migration.

[0137] The ability of residual heat energy to migrate to subsequent stages is then analyzed. The current stage residual heat energy migration ratio is equal to: the current stage residual heat energy multiplied by the current stage's stage connection strength, divided by the sum of the products of the residual heat energy of each stage from stage 1 to stage M-1, plus a small correction amount. The current stage residual heat energy migration ratio represents the proportion of remaining energy in the current stage that migrates to subsequent stages, and its value ranges from 0 to 1. When the denominator is equal to 0, all residual heat energy migration ratios are 0, indicating that no remaining energy migrates to the next stage.

[0138] Based on the residual heat energy migration ratio, energy compensation is performed on the subsequent infrared heat energy absorption unit: the infrared energy state received after the subsequent stage compensation is equal to: the infrared energy state received by the subsequent stage plus the residual heat energy of the current stage multiplied by the residual heat energy migration ratio of the current stage.

[0139] The first stage has no pre-stage compensation, so the received infrared energy state after the first stage compensation is equal to the received infrared energy state of the first stage.

[0140] Through the above process, the infrared heat energy that is not absorbed by the preceding infrared heat energy absorption unit continues to be transferred to the subsequent stage, avoiding the concentrated release of high-temperature heat energy and the waste of low-grade heat energy caused by the traditional single-stage absorption structure.

[0141] After completing multi-stage infrared thermal energy absorption, the effective thermal energy output of each stage is calculated. The effective thermal energy output of the current stage is equal to: the infrared energy state received after compensation of the current stage plus the internal heat storage state of the current stage multiplied by the thermal response coefficient of the current stage.

[0142] The product of the current stage's internal thermal storage state and the current stage's thermal response coefficient represents the effective thermal energy that can be released according to the thermal response capability under the current thermal storage state, in joules.

[0143] The thermal energy utilization level parameter is then calculated. The current level thermal energy utilization level parameter is equal to: the sum of the current level's output effective thermal energy divided by the absolute value of the difference between the current level's current temperature state and the reference operating temperature, plus a small correction amount. The thermal energy utilization level parameter is used to prioritize the thermal energy output of each level within the same grade, without changing the grade classification result.

[0144] Based on the current temperature conditions at each level, heat energy is classified into high-grade, medium-grade, and low-grade. The high-grade temperature threshold is equal to the reference operating temperature plus 50 degrees Celsius; the medium-grade temperature threshold is equal to the reference operating temperature plus 10 degrees Celsius.

[0145] The high-grade thermal energy output is equal to the sum of all effective thermal energy outputs of the current stage that meet the current temperature condition of the current stage and are greater than or equal to the high-grade temperature threshold; the medium-grade thermal energy output is equal to the sum of all effective thermal energy outputs of the current stage that meet the current temperature condition of the current stage and are greater than or equal to the medium-grade temperature threshold and less than the high-grade temperature threshold; the low-grade thermal energy output is equal to the sum of all effective thermal energy outputs of the current stage that meet the current temperature condition of the current stage and are less than the medium-grade temperature threshold.

[0146] The final result of heat energy reduction utilization is: heat energy reduction utilization result = (high-grade heat energy output, medium-grade heat energy output, low-grade heat energy output).

[0147] Of these, high-grade heat energy output is used for heating demand; medium-grade heat energy output is used for heat exchange assistance; and low-grade heat energy output is used for cooling drive or auxiliary heat source.

[0148] The results of thermal energy reduction and utilization are transmitted to the cold, heat and electricity energy coordinated regulation module.

[0149] Specifically, in the coordinated regulation module of cooling, heating and electricity energy, the stable spectral structure, the directional allocation results of spectral energy, and the results of thermal energy reduction utilization are received. Combined with the photovoltaic output status, thermal storage status, cooling and heating load demand, and environmental change information, a coordinated relationship between spectral input, thermal energy conversion, and cooling, heating and electricity output is established.

[0150] Obtain the energy state information output from the first three modules. Among them, the stable spectral structure includes: the spectral restitution coefficient in the visible light band, the spectral restitution coefficient in the near-infrared band, the spectral restitution coefficient in the far-infrared band, and the spectral shift folding angle sequence;

[0151] The spectral energy orientation allocation results include: visible light final migration contribution, near-infrared final migration contribution, far-infrared final migration contribution, and migration consistency coefficient;

[0152] The results of heat energy degradation utilization include: high-grade heat energy output, medium-grade heat energy output, and low-grade heat energy output.

[0153] Subsequently, the following information is obtained based on the current operating environment: photovoltaic output power, which is obtained in real time by the photovoltaic conversion unit, in watts; thermal storage capacity, which is obtained by multiplying the thermal storage medium temperature and the specific heat capacity of the thermal storage medium, in joules; cooling load demand, which is obtained from the operating status of the cooling end, in watts; heating load demand, which is obtained from the operating status of the heating end, in watts; and ambient temperature, which is obtained by the environmental monitoring unit, in degrees Celsius.

[0154] To avoid adjusting solely based on electrical, thermal, and cooling loads, an energy state coupling vector is established: Energy State Coupling Vector = (Photovoltaic Output Power, Thermal Storage Capacity, Cooling Load Demand, Thermal Load Demand, Ambient Temperature, Spectral Restoration Coefficient of Visible Light, Spectral Restoration Coefficient of Near Infrared Light, Spectral Restoration Coefficient of Far Infrared Light, High-Grade Thermal Energy Output, Medium-Grade Thermal Energy Output, Low-Grade Thermal Energy Output).

[0155] The current energy state offset is then calculated. The current energy state offset is equal to: the absolute value of the difference between the photovoltaic output power and the photovoltaic side reference operating state divided by the photovoltaic side reference operating state; the absolute value of the difference between the added thermal storage capacity and the thermal storage side reference operating state divided by the thermal storage side reference operating state; the absolute value of the difference between the added cooling load demand and the cooling and heating load reference states divided by the cooling and heating load reference states; and the absolute value of the difference between the heating load demand and the heat load reference state divided by the heat load reference state. The sum of these four items is then divided by four.

[0156] Among them: the photovoltaic side reference operating status is preset, and the default value is 80% of the photovoltaic installed capacity, in watts; the thermal storage side reference operating status is preset, and the default value is 80% of the thermal storage rated capacity, in joules; the cooling and heating load reference status is preset, and the default value is 80% of the cooling load design condition value, in watts; the heating load reference status is preset, and the default value is 80% of the heating load design condition value, in watts.

[0157] The above calculation method relativizes power and energy separately to avoid inconsistencies in dimensions caused by directly adding power and energy.

[0158] The energy state offset can range from 0 to 0. A larger energy state offset indicates that the current system operating state deviates further from the reference operating state; when the energy state offset is 0, it indicates that the current state is completely consistent with the reference state.

[0159] After obtaining the energy state offset, establish the conversion relationship between different energy sources.

[0160] Before matching calculations, the power demand for cooling load and heating load is multiplied by the control cycle duration to convert it into the energy demand within the control cycle, so as to ensure that the energy units are consistent with the output of high, medium and low grade heat energy.

[0161] Establish a matching relationship between heat energy level and load demand. The matching value for high-grade heat energy is equal to: high-grade heat energy output multiplied by the heat load demand energy, divided by the absolute value of the difference between high-grade heat energy output and heat load demand energy, plus a small correction amount; the matching value for low-grade heat energy is equal to: low-grade heat energy output multiplied by the cooling load demand energy, divided by the absolute value of the difference between low-grade heat energy output and cooling load demand energy, plus a small correction amount; the matching value for medium-grade heat energy is equal to: medium-grade heat energy output multiplied by the sum of high-grade and low-grade heat energy output, divided by the absolute value of the sum of medium-grade and low-grade heat energy output, plus a small correction amount.

[0162] Among them: the high-grade heat energy matching value represents the degree of matching between high-grade heat energy output and heating demand, and the value is greater than 0. The larger the matching value, the higher the degree of matching. The low-grade heat energy matching value represents the degree of matching between low-grade heat energy output and cooling demand, and the value is greater than 0. The larger the matching value, the higher the degree of matching. The medium-grade heat energy matching value represents the degree of matching between medium-grade heat energy output and the total output of high and low-grade heat energy, and the value is greater than 0. The larger the matching value, the more balanced the distribution of medium-grade heat energy.

[0163] When the numerator is 0 and the denominator is not 0, the matching value is 0; when the denominator is zero, the matching value is 1000, indicating a strong match.

[0164] Subsequently, a thermal-electric coupling matching coefficient is established. The thermal-electric coupling matching coefficient is equal to: the visible light final migration contribution multiplied by the high-grade thermal energy matching value, the near-infrared final migration contribution multiplied by the medium-grade thermal energy matching value, the far-infrared final migration contribution multiplied by the low-grade thermal energy matching value, and then divided by the sum of the visible light final migration contribution, the near-infrared final migration contribution, the far-infrared final migration contribution, and the small correction amount.

[0165] The final migration contributions for visible light, near-infrared light, and far-infrared light are provided by the spectral energy orientation allocation results. The thermal-electric coupling matching coefficient ranges from 0 to 0. When the final migration contributions for all three bands are 0, the thermal-electric coupling matching coefficient is 0, indicating that there is no basis for matching between solar energy input and output demand. The thermal-electric coupling matching coefficient is used to represent the degree of consistency between current solar energy input and output demand. The larger the thermal-electric coupling matching coefficient, the better the match between input and demand; the smaller the thermal-electric coupling matching coefficient, the worse the match between input and demand.

[0166] Subsequently, energy path allocation is established based on energy state offset and cooling-heating-electric coupling matching coefficient.

[0167] Calculate the basic matching values ​​for the three paths: Basic matching value for the power supply path = final visible light migration contribution; Basic matching value for the heating path = high-grade heat energy output multiplied by the high-grade heat energy matching value; Basic matching value for the cooling path = low-grade heat energy output multiplied by the low-grade heat energy matching value. If any basic matching value is less than 0, it is set to 0.

[0168] Then, the path allocation ratios are calculated: the power supply path allocation ratio equals the power supply path base matching value divided by the sum of the power supply path base matching value, heating path base matching value, cooling path base matching value, and minor correction amount; the heating path allocation ratio equals the heating path base matching value divided by the power supply path base matching value, heating path base matching value, cooling path base matching value, and minor correction amount; the cooling path allocation ratio equals the cooling path base matching value divided by the sum of the power supply path base matching value, heating path base matching value, cooling path base matching value, and minor correction amount.

[0169] The total matching value is the sum of the basic matching values ​​of the power supply path, the heating path, and the cooling path; the sum of the allocation ratios of the three paths is 1.

[0170] When the total matching value is 0, the power supply path allocation ratio, heating path allocation ratio, and cooling path allocation ratio are all 1 / 3, indicating that there is no priority and the paths are equally distributed.

[0171] The allocation ratio is adjusted based on the energy state offset and the cooling-heating-electricity coupling matching coefficient. The adjustment condition is as follows: if the energy state offset is greater than 0.2 and the cooling-heating-electricity coupling matching coefficient is less than 0.5, then the adjustment is performed; otherwise, the allocation ratios for the power supply path, heating path, and cooling path remain unchanged.

[0172] The correction methods are as follows: Heating path allocation ratio correction value = original heating path allocation ratio plus 0.5 minus the difference between cooling and thermal-electric coupling matching coefficients multiplied by energy state offset multiplied by original cooling path allocation ratio; Cooling path allocation ratio correction value = original cooling path allocation ratio minus 0.5 minus the difference between cooling and thermal-electric coupling matching coefficients multiplied by energy state offset multiplied by original cooling path allocation ratio; Power supply path allocation ratio correction value = 1 - heating path allocation ratio correction value minus cooling path allocation ratio correction value.

[0173] All of the above corrections are absolute values. If any allocation ratio is less than 0 after calculation, it is taken as zero and normalized again until the sum of the three path ratios is 1.

[0174] The energy path reconfiguration matrix is ​​defined as: Energy Path Reconfiguration Matrix = (Power Supply Path Allocation Ratio, Heating Path Allocation Ratio, Cooling Path Allocation Ratio). Where: the power supply path allocation ratio corresponds to the electrical energy output path; the heating path allocation ratio corresponds to the heat energy supply path; and the cooling path allocation ratio corresponds to the cold energy output path. The operating direction is automatically determined based on the energy path reconfiguration matrix.

[0175] After completing the energy path reconfiguration, the final integrated operation state of cooling, heating, and power is generated:

[0176] Cooling, heating and electricity coordinated operation status = (power supply path allocation ratio, heating path allocation ratio, cooling path allocation ratio, cooling, heating and electricity coupling matching coefficient, energy state offset).

[0177] Among them: the power supply path allocation ratio is the photovoltaic power output ratio; the heating path allocation ratio is the heat supply ratio; the cooling path allocation ratio is the cooling drive ratio; the cooling-heating-electric coupling matching coefficient is the evaluation parameter for the consistency between input and demand; and the energy state offset is the evaluation parameter for the degree of deviation of the current state from the reference state.

[0178] The operating mode is determined based on the coordinated operation of cooling, heating, and power: When the ambient temperature is lower than the reference operating temperature and the heat load demand is greater than the cooling load demand, the allocation ratio of the heating path is increased to output high-grade heat energy to the heating channel while maintaining the photovoltaic output corresponding to visible light. The increase is achieved by adding 10% of the energy state offset to the heating path allocation ratio, first deducting the same value from the cooling path allocation ratio; if the cooling path allocation ratio is insufficient, then deducting from the power supply path allocation ratio; then normalizing back to a sum of 1 for the three paths.

[0179] When the ambient temperature is higher than the reference operating temperature and the cooling load demand is greater than the heating load demand, the cooling path allocation ratio is increased to output low-grade heat energy to the cooling drive channel. The increase is achieved by adding 10% of the energy state offset to the cooling path allocation ratio, first deducting the same value from the heating path allocation ratio; if the heating path allocation ratio is insufficient, it is then deducted from the power supply path allocation ratio; finally, it is renormalized until the sum of the three path ratios is 1. In other cases, the current energy path reconstruction matrix remains unchanged.

[0180] Ultimately, an information closed loop is formed: from the stable spectral structure to the directional distribution of spectral energy, to the thermal energy reduction and utilization results, and then to the synergistic operation of cold, heat and electricity.

[0181] Figure 2 As shown, another aspect of the present invention provides a method for solar full-spectrum combined cooling, heating and power supply based on spectral frequency division, comprising:

[0182] Step 1: Divide the light propagation space enclosed by the building surface, the ground acquisition area, and the focusing device into multiple spectral occupancy units. Obtain the solar incidence angle, spatial shading state, atmospheric attenuation state, and focusing response state of each unit. Calculate the spectral occupancy potential, spectral migration folding angle, and folding continuity maintenance value. Correct local propagation anomaly areas through closed-loop compensation. Based on this, establish continuous occupancy matrices for the visible, near-infrared, and far-infrared bands respectively to obtain a stable spectral structure composed of the spectral recovery coefficients and spectral migration folding angle sequences of the three bands.

[0183] Step 2: Read the stable spectral structure, and calculate the target demand and demand coupling potential of the visible, near-infrared and far-infrared bands by combining the photovoltaic power generation demand, heat load demand and ambient temperature. Establish a band migration network with spectral occupancy units as nodes and spectral migration folding angle as connection parameters. Calculate the migration acceptance value and migration continuity value of each band, and update the migration acceptance value through residual energy return and migration compensation. Finally, obtain the final migration contribution and migration consistency coefficient of the three bands to form the spectral energy directional allocation result.

[0184] Step 3: Convert the final migration contribution of near-infrared and far-infrared infrared into thermal energy input, set up multi-stage series infrared thermal energy absorption units, calculate the residence potential of infrared thermal energy, thermal migration matching value and step-by-step connection strength of each stage; perform migration compensation for residual thermal energy not absorbed by the previous stage to the next stage, update the infrared energy state received by each stage, output the effective thermal energy of each stage, and divide the thermal energy into high-grade, medium-grade and low-grade thermal energy according to the temperature threshold to generate thermal energy reduction utilization results.

[0185] Step 4: Obtain stable spectral structure, spectral energy orientation allocation results, and thermal energy reduction utilization results. Combined with photovoltaic output power, thermal storage capacity, heating and cooling load requirements, and ambient temperature, calculate energy state offset, high / medium / low grade thermal energy matching value, and heating-cooling-electric coupling matching coefficient. Determine the basic matching values ​​and allocation ratios of power supply path, heating path, and cooling path. When the energy state offset is large and the heating-cooling-electric coupling matching coefficient is low, the allocation ratio is corrected to form an energy path reconstruction matrix.

[0186] Step 5: Determine the operating mode based on ambient temperature and heating / cooling load requirements: When the ambient temperature is lower than the reference operating temperature and the heating load is greater than the cooling load, increase the allocation ratio of the heating path, prioritizing the use of high-grade heat energy for heating; when the ambient temperature is higher than the reference operating temperature and the cooling load is greater than the heating load, increase the allocation ratio of the cooling path, prioritizing the use of low-grade heat energy for cooling drive, maintaining photovoltaic power generation output. A coordinated heating, cooling, and electricity operating state is generated, and the results are fed back to the spectral energy directional migration and distribution and infrared thermal energy cascade absorption and conversion stages, forming a closed-loop control between stable spectral structure, spectral energy directional distribution results, heat energy reduction utilization results, and the coordinated heating, cooling, and electricity operating state.

[0187] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to any specific implementation. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A solar full-spectrum combined cooling, heating and power system based on spectral frequency division, characterized in that, include: The solar spectrum spatial distribution reconstruction module, the spectral energy directional migration and allocation module, the infrared thermal energy cascade absorption and conversion module, and the cold, heat and electricity energy coordinated regulation module; The solar spectral spatial distribution reconstruction module divides the light propagation space into multiple spectral occupancy units, establishes the spectral occupancy potential based on the solar incidence angle, spatial shading state, atmospheric attenuation state, and focusing response state, and generates a spectral migration folding angle sequence based on the differences between adjacent spectral occupancy units. The spectral propagation state is corrected through a continuous compensation loop to generate a stable spectral structure. The spectral energy directional migration and allocation module establishes a band demand coupling relationship based on the stable spectral structure, photovoltaic power generation demand, heat load demand, and ambient temperature. It also constructs a band migration network by combining the spectral migration fold angle sequence to perform directional migration of visible light, near-infrared light, and far-infrared light, generating spectral energy directional allocation results. The infrared thermal energy gradient absorption and conversion module establishes a multi-level infrared thermal energy absorption unit based on the directional distribution of spectral energy, and realizes the graded conversion of infrared thermal energy through the infrared thermal energy residence potential and the infrared thermal energy gradient absorption chain. The coordinated regulation module for cooling, heating, and electricity establishes an energy path reconstruction matrix based on the stable spectral structure, the directional distribution of spectral energy, and the results of thermal energy reduction utilization, combined with photovoltaic output status, thermal storage status, cooling and heating load demand, and environmental change information, to achieve coordinated regulation of power supply, heating, and cooling paths.

2. The solar full-spectrum combined cooling, heating and power system based on spectral frequency division according to claim 1, characterized in that, The solar spectrum spatial distribution reconstruction module divides the light propagation space formed between the building surface, the ground acquisition area, and the concentrating device into multiple spectral occupancy units. The spectral occupancy unit acquires the solar incidence angle, spatial shading state, atmospheric attenuation state, and focusing response state, respectively. The solar incidence angle is used to characterize the angular relationship between sunlight and the light-receiving surface of the focusing device. The spatial shading state is used to characterize the degree of influence of building components on the propagation path of sunlight. The atmospheric attenuation state is used to characterize the degree of energy loss of sunlight during propagation. The focusing response state is used to characterize the effective reception capability of the focusing device for incident sunlight.

3. A solar full-spectrum combined cooling, heating and power system based on spectral frequency division according to claim 2, characterized in that, The solar spectrum spatial distribution reconstruction module calculates the spectral occupancy potential based on the solar incidence angle, spatial shading state, atmospheric attenuation state, and light concentration response state. The spectral occupancy potential characterizes the ability of a spectral occupancy unit to maintain the continuous propagation of sunlight; the solar spectral spatial distribution reconstruction module calculates the occupancy difference degree based on the difference in spectral occupancy potential between adjacent spectral occupancy units, and calculates the spectral migration folding angle based on the occupancy difference degree; the spectral migration folding angle describes the degree of change in the spectral propagation state 4. A solar full-spectrum combined cooling, heating and power system based on spectral frequency division according to claim 3, characterized in that, The solar spectrum spatial distribution reconstruction module calculates the fold continuity retention value based on the relationship between the changes in the fold angles of adjacent spectral migrations. The folded continuity value describes the degree of continuity of spectral propagation state between adjacent spectral occupancy units; The solar spectral spatial distribution reconstruction module calculates the compensation center value based on the neighborhood range of the spectral occupied unit, the initial spectral occupancy potential, and the folded continuous retention value, and calculates the compensation deviation value based on the difference between the current spectral occupancy potential and the compensation center value. The compensation intensity coefficient is determined based on the compensation deviation value, and the compensation increment is calculated to adjust the spectral occupancy potential, forming a continuous compensation loop.

5. A solar full-spectrum combined cooling, heating and power system based on spectral frequency division according to claim 1, characterized in that, The solar spectral spatial distribution reconstruction module calculates the spectral contribution values ​​of the visible light band, the near-infrared band, and the far-infrared band respectively, based on the compensated spectral occupancy potential and the corresponding response ratios of the visible light band, the near-infrared band, and the far-infrared band. The spectral recovery coefficients for each band are calculated based on the spectral contribution value and the compensation deviation value. The stable spectral structure includes the spectral recovery coefficients for the visible band, the near-infrared band, and the far-infrared band, as well as the spectral migration folding angle sequence.

6. A solar full-spectrum combined cooling, heating and power system based on spectral frequency division according to claim 1, characterized in that, The spectral energy directional migration and allocation module establishes target demand quantities for the visible light band, near-infrared band, and far-infrared band based on the stable spectral structure, photovoltaic power generation demand, heat load demand, and ambient temperature. Calculate the target band demand coupling potential based on the target demand, the corresponding band spectral recovery coefficient, and the environmental adaptability factor. The target band demand coupling potential is used to characterize the matching relationship between the corresponding spectral band and energy demand.

7. A solar full-spectrum combined cooling, heating and power system based on spectral frequency division according to claim 6, characterized in that, The spectral energy directional migration allocation module calculates the target band migration acceptance value based on the target band demand coupling potential, the compensated spectral occupancy potential, and the spectral migration folding angle. The migration continuity value is calculated based on the target band migration acceptance value between adjacent spectral occupiers; the remaining energy value is calculated based on the migration continuity value, and the backflow influence value is calculated based on the remaining energy value in the neighborhood and the migration continuity state; the migration compensation amount is calculated based on the relationship between the backflow influence value and the remaining energy value, and the target band migration acceptance value is updated to generate the spectral energy orientation allocation result.

8. A solar full-spectrum combined cooling, heating and power system based on spectral frequency division according to claim 1, characterized in that, The infrared thermal energy cascade absorption and conversion module includes multiple infrared thermal energy absorption units arranged in the direction of infrared energy propagation; The infrared thermal energy absorption unit acquires the current stage temperature state, the current stage internal heat storage state, the current stage thermal response coefficient, and the current stage received infrared energy state; and calculates the infrared thermal energy residence potential based on the current stage received infrared energy state, the current stage thermal response coefficient, the current stage internal heat storage state, and the current stage temperature state. The thermal migration matching value is calculated based on the infrared thermal energy residence potential between adjacent infrared thermal energy absorbing units, and the cascade connection strength is calculated based on the thermal migration matching value and the difference in thermal response coefficient between adjacent infrared thermal energy absorbing units, thus forming an infrared thermal energy cascade absorption chain.

9. A method for solar full-spectrum combined cooling, heating and power supply based on spectral frequency division, characterized in that, Implementing a solar full-spectrum combined cooling, heating and power system based on spectral frequency division as described in any one of claims 1-8, comprising: Step 1: Divide the light propagation space enclosed by the building surface, the ground acquisition area, and the focusing device into multiple spectral occupancy units, obtain the solar incidence angle, spatial shading state, atmospheric attenuation state, and focusing response state, calculate the spectral occupancy potential, spectral migration folding angle, and folding continuity retention value, and correct local propagation anomaly areas through a continuous compensation loop to generate a stable spectral structure composed of spectral recovery coefficients and spectral migration folding angle sequences in the visible, near-infrared, and far-infrared bands. Step 2: Based on the stable spectral structure, photovoltaic power generation demand, heat load demand and ambient temperature, calculate the demand coupling potential corresponding to the visible light, near-infrared and far-infrared bands, establish a band migration network with spectral occupancy units as nodes, calculate the migration acceptance value and migration continuity value, update the migration acceptance value through residual energy return and migration compensation, and generate a spectral energy orientation allocation result containing the final migration contribution and migration consistency coefficient of the three bands. Step 3: Based on the near-infrared final migration contribution and far-infrared final migration contribution in the spectral energy orientation allocation results, set up multi-stage cascaded infrared thermal energy absorption units, calculate the infrared thermal energy residence potential, thermal migration matching value and step-by-step connection strength, and perform migration compensation based on the unabsorbed residual thermal energy to update the infrared energy state received at each stage and generate thermal energy de-order utilization results. Step 4: Based on the stable spectral structure, spectral energy orientation distribution results, and thermal energy reduction utilization results, combined with photovoltaic output power, thermal storage capacity, cooling and heating load requirements, and ambient temperature, calculate the energy state offset and cooling-heating-electric coupling matching coefficient, and determine the energy distribution ratio based on the matching relationship of the power supply path, heating path, and cooling path. Step 5: Adjust the allocation ratio of power supply path, heating path and cooling path according to ambient temperature, reference operating temperature and cooling load demand to generate a cooling, heating and electricity coordinated operation state. Feedback the cooling, heating and electricity coordinated operation state to the spectral energy directional migration and distribution process and the infrared thermal energy cascade absorption and conversion process to form a closed-loop control between stable spectral structure, spectral energy directional distribution result, thermal energy reduction utilization result and cooling, heating and electricity coordinated operation state.

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