Intelligent predictive control-based phase-change Telandon wall and control method thereof

Abstract

The invention provides an intelligent predictive control-based phase-change Telabovian wall and a control method of the intelligent predictive control-based phase-change Telabovian wall. The heat absorption coating layer is arranged outside the first phase change layer, and the phase change activation devices are arranged in the first phase change layer and the second phase change layer, so that the first phase change layer and the second phase change layer can adjust the indoor temperature through phase change under various environmental conditions. Further, two outer ventilation openings are formed in the upper side and the lower side of the structural heat preservation layer, and two inner ventilation openings are formed in the upper side and the lower side of the glass panel. Through coordination and cooperation of the two outer ventilation openings, the two inner ventilation openings, the first phase change layer and the second phase change layer, the indoor temperature is intelligently regulated and controlled, and indoor personnel cannot feel uncomfortable or stuffy due to temperature fluctuation. The problems of day-night and seasonal heat imbalance, single energy utilization mode and operation mode regulation hysteresis of a traditional Tetradon wall are solved.

Description

Technical Field

[0001] The present invention relates to the fields of phase change energy storage, solar energy ventilation technology and building intelligent control technology, and in particular to a phase change Trombe wall based on intelligent predictive control and a control method thereof. Background Art

[0002] my country boasts abundant solar energy resources. Leveraging solar energy to reduce the use of coal and other fuels is an effective means of energy conservation. Phase-change Trombe wall systems, as a passive solar energy system, absorb solar energy through air channels between the glass layer and the thermal storage wall, utilizing the thermal pressure effect to achieve indoor heating and reduce building energy use. However, traditional phase-change Trombe walls still have several limitations.

[0003] On the one hand, traditional phase-change Trombone walls utilize only light radiation to induce phase changes in the phase-change layer. Their operating mechanism relies solely on light radiation to induce physical changes in the phase-change layer. This single energy triggering mode places strict restrictions on the phase-change layer's ability to capture light radiation. In the absence of sunlight, such as on cloudy days or during the morning and evening hours, the phase-change layer struggles to effectively store heat, significantly reducing the Trombone wall's thermal buffering capacity. Furthermore, the diurnal periodicity of light radiation makes the phase-change layer's operating mode significantly intermittent. Continuous light is required during the day to maintain the phase-change process. In the absence of light at night, the phase-change layer cannot actively absorb heat and can only release it slowly through natural heat dissipation, making it difficult to meet all-weather thermal management requirements.

[0004] On the other hand, traditional phase-change Trombe walls utilize a closed structural design, physically isolating the indoor environment from the outside. This design flaw can lead to significant thermal management failures when indoor cooling is required. From a heat transfer mechanism perspective, when the outdoor temperature is higher than the indoor temperature or the light intensity is high, the phase-change layer can store heat by absorbing light radiation. However, due to the wall's lack of effective heat dissipation channels, the accumulated heat cannot be quickly discharged to the outside via convection, resulting in a "thermally closed" state. At the same time, the sensible and latent heat generated by indoor human activity and equipment operation cannot be discharged through the wall, causing the indoor air temperature to continue to rise, which can cause the human body to feel intensely stuffy. Summary of the Invention

[0005] An object of the present invention is to overcome at least one drawback of the prior art and to provide a phase change Trombe wall based on intelligent predictive control.

[0006] A further object of the present invention is to provide a first phase change layer and a second phase change layer, and to provide phase change activation devices inside the first phase change layer and the second phase change layer, respectively, so that the phase change Trombe wall can be controlled to achieve indoor temperature regulation under various lighting conditions.

[0007] Another further object of the present invention is to adjust the indoor temperature by setting up a ventilation device and cooperating with the phase change activation device in a controlled manner.

[0008] In particular, the present invention provides a phase change Trombe wall based on intelligent predictive control, comprising: a structural insulation layer; a first phase change layer, disposed on the outside of the structural insulation layer; a second phase change layer, disposed on the inside of the structural insulation layer; a heat-absorbing coating layer, disposed on the outside of the first phase change layer, for absorbing heat from solar radiation; a phase change activation device, disposed in the first phase change layer and the second phase change layer, respectively; a ventilation device, for controlledly causing the gas inside the phase change Trombe wall to flow to achieve heat exchange; and a control unit, configured to adjust the state of the phase change activation device and / or the ventilation device to achieve multiple modes of indoor temperature regulation.

[0009] Optionally, the phase change Trombe wall based on intelligent predictive control further includes: a glass panel, which is spaced apart on the outside of the heat-absorbing paint layer for transmitting solar radiation; and an air duct cavity, which is arranged between the heat-absorbing paint layer and the glass panel for forming a closed interlayer to isolate the influence of the outdoor environment on the indoor environment.

[0010] Optionally, the ventilation device includes: two internal vents, which are arranged on the upper and lower sides of the structural insulation layer and configured to be controlled to open and close respectively; two external vents, which are arranged on the upper and lower sides of the glass panel and configured to be controlled to open and close respectively; and the two internal vents and the two external vents are configured to be controlled by the control unit to form multiple ventilation states.

[0011] Optionally, the phase change Trombe wall based on intelligent predictive control further includes: a photovoltaic power unit for providing electrical energy to the control unit; wherein the photovoltaic power unit includes: a solar photovoltaic panel, arranged at the top of the Trombe wall, for converting absorbed solar energy into electrical energy for use by the control unit; and a battery, arranged at the top of the air duct cavity, for storing electrical energy.

[0012] Optionally, the first phase change layer and the second phase change layer are phase change gypsum board panels composited with phase change microcapsules and gypsum, and the phase change microcapsules are paraffin, wherein the phase change temperature of the first phase change layer is 24±2°C, and the phase change temperature of the second phase change layer is 18±2°C.

[0013] Optionally, according to another aspect of the present invention, a control method for a phase change Trombe wall based on intelligent predictive control is also provided, which is used to control any of the above-mentioned phase change Trombe walls based on intelligent predictive control, and the method includes: acquiring environmental data and operating status data; preprocessing the environmental data and operating status data, the preprocessing step including cleaning the environmental data and operating status data and historical data and extracting periodic characteristic data that changes with time series; predicting a control strategy based on the periodic characteristic data; and executing the control strategy.

[0014] Optionally, the step of predicting the control strategy based on periodic characteristic data includes: judging whether the current daily average solar radiation intensity is greater than a preset first solar radiation intensity; if the current daily average solar radiation intensity is greater than the preset first solar radiation intensity, judging whether the indoor air temperature is greater than the outdoor air temperature; if the indoor air temperature is greater than the outdoor air temperature, the control strategy is a sunny day heating mode; if the indoor air temperature is lower than the outdoor air temperature, the control strategy is a sunny day ventilation mode; if the current daily average solar radiation intensity is lower than the preset first solar radiation intensity, judging whether the indoor air temperature is greater than the outdoor air temperature; if the indoor air temperature is higher than the outdoor air temperature, the control strategy is a non-sunny day heating mode; if the indoor air temperature is lower than the outdoor air temperature, the control strategy is a non-sunny day ventilation mode.

[0015] Optionally, the sunny day heating mode is: open the two inner vents during the day and close the two inner vents at night; the sunny day ventilation mode is: open the lower inner vents and the upper outer vents during the day, and open the two inner vents and two outer vents at night; the cloudy day heating mode is: close the two inner vents; turn on the phase change activation device to heat the second phase change layer; the cloudy day ventilation mode is: open the two inner vents and the two outer vents, and turn on the phase change activation device to cool the second phase change layer.

[0016] Optionally, the step of sending the control strategy to the control unit also includes: recording real-time environmental data and operating status data during the execution of the control strategy, calculating the solar photovoltaic utilization rate of the control strategy; and online training the method for predicting the control strategy based on minimizing the heating energy consumption compliance rate and maximizing the solar photovoltaic utilization rate under the control strategy as optimization goals.

[0017] Optionally, the optimization objective includes minimizing the heating energy consumption compliance rate, and the calculation formula is: Among them, Q Min is the minimum daily energy consumption value in a single month, P is the minimum heating energy consumption compliance rate, t is the number of days in the month, Q actual is the actual heating energy consumption of the month; to maximize the utilization rate of solar photovoltaic, the calculation formula is: Among them, N is the solar photovoltaic utilization rate, P activate is the rated power of the phase change layer activation device, T is the activation time of the phase change layer activation device, Q power Stores electricity for photovoltaic power units.

[0018] The phase-change Trombe wall, based on intelligent predictive control, provides a first and second phase-change layer, each with a phase-change activation device within it. This allows the wall to controllably regulate indoor temperature under various lighting conditions. By integrating the two phase-change layers with the activation device, combined with intelligent predictive control logic, the wall overcomes the passive regulation limitations of traditional Trombe walls and offers multiple technical advantages in terms of temperature control accuracy, environmental adaptability, and energy efficiency.

[0019] Furthermore, two internal and two external vents are located on the upper and lower sides of the structural insulation layer and glass panel, respectively. These vents are controlled and coordinated with the phase change activation device to regulate the indoor temperature. This design allows for rapid temperature rise when the indoor temperature needs to be increased, and the phase change activation device operates, allowing the first and second phase change layers to release heat into the room. When the indoor temperature needs to be rapidly cooled, the phase change activation device is closed, and the appropriate opening and closing method of the vents is selected based on the actual situation to quickly lower the indoor temperature.

[0020] Based on the following detailed description of specific embodiments of the present invention in conjunction with the accompanying drawings, those skilled in the art will become more aware of the above and other objects, advantages and features of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Hereinafter, some specific embodiments of the present invention will be described in detail in an exemplary and non-limiting manner with reference to the accompanying drawings. The same reference numerals in the accompanying drawings indicate the same or similar components or parts. It should be understood by those skilled in the art that these drawings are not necessarily drawn to scale. In the accompanying drawings:

[0022] Figure 1 is a schematic structural diagram of a phase change Trombe wall according to one embodiment of the present invention;

[0023] Figure 2 is a connection diagram of a control unit according to one embodiment of the present invention;

[0024] Figure 3 is a connection diagram of a photovoltaic power unit according to one embodiment of the present invention;

[0025] Figure 4 is a schematic diagram of the operating principle of a sunny day heating mode according to an embodiment of the present invention;

[0026] Figure 5 2 is a schematic diagram of the operating principle of a non-sunny day heating mode according to an embodiment of the present invention;

[0027] Figure 6 is a schematic diagram of the operating principle of a sunny day ventilation mode according to an embodiment of the present invention;

[0028] Figure 7 2 is a schematic diagram of the operating principle of a non-sunny day ventilation mode according to an embodiment of the present invention;

[0029] Figure 8 is a flow chart of a method for controlling a phase change Trombe wall according to one embodiment of the present invention;

[0030] Figure 9 is a flow chart of a predictive control strategy according to one embodiment of the present invention;

[0031] Figure 10 is a flow chart of a predictive control strategy according to another embodiment of the present invention;

[0032] Figure 11 1 is a flow chart of online training of a method for predictive control strategy according to an embodiment of the present invention. DETAILED DESCRIPTION

[0033] The present invention provides a phase change Trombe wall based on intelligent predictive control, such as Figure 1 As shown, the phase change Trombe wall may include: a structural insulation layer 110, a first phase change layer 120, a second phase change layer 130, a heat-absorbing coating layer 140, a phase change activation device 200, a ventilation device 300, and a control unit 400. The structural insulation layer 110 is a mixture of a structural layer and a thermal insulation layer. The structural insulation layer 110 provides both support and insulation for the various structural layers.

[0034] The first phase change layer 120 can be positioned outside the structural insulation layer 110. During the day, it absorbs solar heat, heats the air, and delivers it to the interior, raising the indoor temperature. The first phase change layer 120 can also be heated or cooled by the phase change activation device 200 positioned within it, flexibly adjusting the indoor temperature based on actual environmental conditions.

[0035] The second phase change layer 130 can be arranged inside the structural insulation layer 110, and realizes phase change according to the heating or cooling of the phase change activation device 200 to adjust the indoor temperature. Coordinating with the first phase change layer 120, the rate of adjusting the indoor temperature can be accelerated.

[0036] The heat-absorbing coating layer 140 can be disposed outside the first phase change layer 120 to absorb heat from solar radiation. Due to the heat absorption effect of the heat-absorbing coating layer 140, the first phase change layer 120 can quickly absorb heat and change phase, further improving the rate of regulating indoor temperature.

[0037] The phase change activation device 200 can be disposed within the first phase change layer 120 and the second phase change layer 130, respectively. The phase change activation device 200 can heat or cool the first phase change layer 120 and the second phase change layer 130. This intelligently changes the indoor temperature and improves the indoor temperature control rate. The phase change activation device 200 can be a semiconductor thermocouple, disposed within the first phase change layer 120 and the second phase change layer 130. Through the Peltier effect of the semiconductor thermocouple, electrical energy is directly converted into temperature difference energy, achieving active cooling and solidification control of the phase change material in the first phase change layer 120 and the second phase change layer 130.

[0038] The ventilation device 300 controls the flow of air within the phase-change Trombe wall to achieve heat exchange. The ventilation device 300 works in conjunction with the phase-change activation device 200 to more intelligently and quickly adjust the indoor temperature. Furthermore, the installation of the ventilation device 300 improves the comfort of indoor occupants. Because the ventilation device 300 controls both indoor and outdoor ventilation, occupants experience less stuffiness.

[0039] The control unit 400 may be configured to adjust the state of the phase change activation device 200 and / or the ventilation device 300, such as Figure 2 As shown, the control unit 400 is connected to the phase change activation device 200 and the ventilation device 300 respectively, and can intelligently adjust the operation of the phase change activation device 200 and the ventilation device 300 according to the actual indoor conditions and needs, thereby achieving the purpose of quickly and intelligently adjusting the indoor temperature.

[0040] The phase-change Trombe wall may also include a glass panel 150 and an air duct cavity 160. The air duct panel is spaced apart from the heat-absorbing coating layer 140 to transmit solar radiation. Air duct cavity 160 is formed between the air duct panel and the heat-absorbing coating layer 140. Air duct cavity 160 is a relatively sealed interlayer that isolates the interior from the outdoor environment. Air duct cavity 160 can also be used in conjunction with a ventilation device 300 to control the flow of air within air duct cavity 160 in different directions, enabling different temperature regulation options.

[0041] The ventilation device 300 may include two inner vents 310 and two outer vents 320. The inner vents 310 are located on the upper and lower sides of the structural insulation layer 110 and can be opened or closed by the control unit 400. The outer vents 320 are located on the upper and lower sides of the glass panel 150 and can be opened or closed by the control unit 400. The control unit 400 can control the opening and closing of the inner and outer vents 310, 320 to create various ventilation states and, in conjunction with the phase change activation device 200, implement various intelligent indoor temperature control schemes.

[0042] like Figure 3As shown, the phase-change Trombe wall can also include a photovoltaic power unit 500 for providing electrical energy to the control unit 400. The photovoltaic power unit 500 can include a solar photovoltaic panel 510 disposed on top of the Trombe wall. This arrangement facilitates the solar photovoltaic panel 510 receiving solar radiation and converting it into electrical energy for use by the control unit 400. A battery 520 can be disposed on top of the air duct cavity 160 to store the electrical energy for subsequent use by the control unit 400.

[0043] The first phase change layer 120 and the second phase change layer 130 can be phase change gypsum boards composed of phase change microcapsules and gypsum. The phase change microcapsules can be paraffin. The phase change temperature of the first phase change layer 120 can be 24±2°C, and the phase change temperature of the second phase change layer 130 can be 18±2°C.

[0044] In some optional embodiments, the thickness of the phase change microcapsule core material can be 10 mm to 30 mm, preferably 20 mm. The structural insulation layer 110 can include a structural layer and an insulation layer. The structural layer is used to support the overall structure of each layer. The insulation layer can be made of polyurethane and can be 40 mm to 60 mm thick, preferably 50 mm.

[0045] In some optional embodiments, the phase-change Trombe wall may further include a sensing unit and an execution unit. The sensing unit is used to monitor data such as indoor and outdoor temperature, the temperature of the air duct cavity 160, the temperature of the phase-change material, solar radiation intensity, and energy consumption, providing data support for generating a control strategy for the phase-change Trombe wall. The execution unit is used to execute the specific steps of the control strategy, thereby intelligently regulating the indoor temperature.

[0046] This embodiment also provides a control method for a phase-change Trombe wall based on intelligent predictive control, which is used to control the phase-change Trombe wall based on intelligent predictive control in any of the above embodiments. Figure 8 As shown, the control method at least includes the following steps S101 to S104.

[0047] Step S101: Acquire environmental data and operating status data.

[0048] Step S102: pre-processing the environmental data and the operating status data.

[0049] Step S103: predicting a control strategy based on periodic characteristics.

[0050] Step S104: executing the control strategy.

[0051] The preprocessing step involves cleaning environmental and operational data with historical data to extract periodic features that vary over time. This method obtains environmental and operational data (such as indoor and outdoor temperatures, air duct cavity temperature, phase change material temperature, solar radiation intensity, and energy consumption values) and cleans them with historical data to extract periodic features that vary over time, such as temperature fluctuation patterns and changes in sunlight duration over the same period over the past few years. This allows for accurate prediction of environmental trends. For example, based on historical data and weather forecasts, the system can predict a temperature drop tomorrow. It can then store more heat in the phase change layer today. When the temperature drops tomorrow, the phase change layer will gradually release heat, keeping the room warm. If the outdoor temperature is predicted to rise at noon, the system will open the exterior vents in the morning to release heat from the wall while preparing the phase change layer to absorb heat. This effectively blocks high temperatures from entering the room by noon, preventing the room from suddenly becoming stuffy. More importantly, this method, through predictive control strategies, can maintain a stable temperature in the room, preventing sudden fluctuations in temperature and improving the comfort of indoor occupants.

[0052] like Figure 9 As shown, the step of predicting the control strategy based on the periodic characteristic data includes at least the following steps S201 to S204.

[0053] Step S201 , determining whether the current daily average solar radiation intensity is greater than a preset first solar radiation intensity.

[0054] Step S202: When the current daily average solar radiation intensity is greater than a preset first solar radiation intensity, it is determined whether the indoor air temperature is greater than the outdoor air temperature.

[0055] Step S203: When the indoor air temperature is greater than the outdoor air temperature, the control strategy is a sunny day heating mode.

[0056] Step S204: When the indoor air temperature is lower than the outdoor air temperature, the control strategy is the sunny day ventilation mode.

[0057] like Figure 10 As shown, the step of predicting the control strategy according to the periodic characteristic data may also include at least the following steps S301 to S304.

[0058] Step S301: determine whether the current daily average solar radiation intensity is greater than a preset first solar radiation intensity.

[0059] Step S302: When the current daily average solar radiation intensity is less than a preset first solar radiation intensity, it is determined whether the indoor air temperature is greater than the outdoor air temperature.

[0060] Step S303: When the indoor air temperature is greater than the outdoor air temperature, the control strategy is a non-sunny day heating mode.

[0061] Step S304: When the indoor air temperature is lower than the outdoor air temperature, the control strategy is a non-sunny day ventilation mode.

[0062] The first solar radiation intensity is used as a criterion for determining whether it is a sunny day. The value of the first solar radiation intensity can be set based on historical data. Comparing the indoor air temperature with the outdoor air temperature can determine whether heating or ventilation is currently required.

[0063] The control strategy may include sunny day heating mode, sunny day ventilation mode, cloudy day heating mode and cloudy day ventilation mode. Figure 4 As shown, in sunny day heating mode, during the day, the two inner vents are open. The phase change Trombe wall absorbs solar heat through its heat-absorbing coating layer, heating the air duct cavity and creating a chimney effect, delivering heated air indoors. Simultaneously, the first phase change layer absorbs and stores energy under solar radiation, melting. At night, the two inner vents are closed, forming a sealed air layer within the air duct cavity. The first phase change layer releases the energy absorbed and stored during the day into the air duct cavity, mitigating the impact of the external environment on the indoor environment.

[0064] like Figure 6 As shown, in sunny day ventilation mode, during the day, the lower inner vents and upper outer vents are open. The Trombe wall absorbs solar heat through its heat-absorbing coating layer, heating the air duct cavity and creating a chimney effect to expel hot air outdoors. At night, the two inner vents and two outer vents are opened to enhance natural ventilation, discharging the heat stored indoors and in the first phase change layer during the day to the outside.

[0065] like Figure 5 As shown, in warm weather heating mode, both internal vents are closed, creating a sealed air layer within the duct cavity, isolating the interior from the outside environment. Simultaneously, the photovoltaic power unit powers the phase change activation device, triggering its heating mode. The phase change material in the second phase change layer transforms into a liquid state. Due to the adjacent structural insulation layer, the liquid phase change material releases heat into the interior, mitigating temperature fluctuations.

[0066] like Figure 7 As shown, in sunny day ventilation mode, during the day, the lower inner vents and upper outer vents are open. The Trombe wall absorbs solar heat through its heat-absorbing coating layer, heating the air duct cavity and creating a chimney effect to expel hot air outdoors. At night, the two inner vents and two outer vents are opened to enhance natural ventilation, discharging the heat stored indoors and in the first phase change layer during the day to the outside.

[0067] The control strategy can have multiple judgment criteria, including: heating and ventilation mode judgment, sunny and non-sunny mode judgment, day and night mode judgment, vent opening node judgment, and phase change activation device activation condition judgment. The judgment formula for heating and ventilation mode is:

[0068]

[0069] Among them, T out T is the indoor temperature. in The indoor temperature. When the outdoor temperature is lower than the indoor temperature, heating mode should be used to raise the indoor temperature. When the outdoor temperature is higher than the indoor temperature, ventilation mode should be used to lower the indoor temperature. This judgment method can minimize indoor temperature fluctuations and improve the indoor user experience.

[0070] The judgment formula for sunny and non-sunny modes is:

[0071]

[0072] in, is the daily average solar radiation intensity. The daily average solar radiation intensity is compared with the preset first solar radiation intensity to determine whether it is currently sunny. Taking the preset first solar radiation intensity of 100W / ㎡ as an example, when the daily average solar radiation intensity is greater than 100W / ㎡, it is determined that the current day is sunny. When the daily average solar radiation intensity is less than 100W / ㎡, it is determined that the current day is not sunny. 100W / ㎡ is used as the judgment standard because this value can cover most people's intuitive feelings about sunny days. Moreover, 100W / ㎡ as a judgment standard is more suitable for the application of phase change Trombe walls. When the daily average solar radiation intensity is greater than 100W / ㎡, the phase change Trombe wall can enter sunny day heating mode or sunny day ventilation mode to adjust the indoor temperature.

[0073] The judgment formula for day and night mode is:

[0074]

[0075] Among them, S h The hourly solar radiation intensity is compared with a preset second solar radiation intensity to determine whether it is daytime. For example, if the preset second solar radiation intensity is 0 W / m2, when the hourly solar radiation intensity is greater than 0 W / m2, it is determined to be daytime. When the hourly solar radiation intensity is less than 0 W / m2, it is determined to be nighttime.

[0076] The judgment formula for the vent opening node is:

[0077]

[0078] Among them, Tair The duct cavity air temperature. When the difference between the duct cavity air temperature and the indoor temperature is greater than 2°C, the system is in heating mode and both interior vents should be opened. When the difference between the duct cavity air temperature and the indoor temperature is less than 2°C, the system is in ventilation mode and the upper interior vent should be closed.

[0079] The judgment formula for the activation condition of the phase change activation device is:

[0080]

[0081] Among them, T actual is the current temperature, T PCM is the temperature of the second phase change layer. If the current temperature is lower than the temperature of the second phase change layer, the second phase change layer needs to be heated. If the current temperature is higher than the temperature of the second phase change layer, the second phase change layer needs to be cooled.

[0082] After the step of sending the control strategy to the control unit, the control strategy method can also be trained online, such as Figure 11 As shown, the training method may include steps S401 to S402.

[0083] Step S401 : recording real-time environmental data and operating status data during the execution of the control strategy, and calculating the solar photovoltaic utilization rate of the control strategy.

[0084] Step S402 : Online training of a method for predictive control strategy based on minimizing the heating energy consumption compliance rate under the control strategy and optimizing the target is performed.

[0085] This method continuously optimizes the control strategy based on real-world data by minimizing heating energy consumption compliance and maximizing solar photovoltaic utilization, resulting in more efficient energy utilization and more precise control. This online training requires no human intervention and allows the system to automatically adapt to environmental variations. As the system accumulates more real-world data over time, the optimized control strategy becomes more aligned with real-world scenarios, ensuring both indoor comfort and significantly reducing energy costs.

[0086] In some optional embodiments, after online training of the predictive control strategy, rolling training optimization can be performed. This repeats the online training steps to form a periodic closed-loop training process, continuously optimizing the phase change Trombe wall control strategy. This continuously optimized control strategy is more closely aligned with actual user needs, ensuring a better room temperature experience.

[0087] The calculation formula for minimizing the heating energy consumption compliance rate can be:

[0088]

[0089] Among them, Q Min is the lowest daily energy consumption value in a single month, P is the minimum heating energy consumption compliance rate, t is the number of days in the month, Q actual The actual heating energy consumption for the month. The minimum heating energy consumption compliance rate can be calculated by combining the collected daily energy consumption value of the lowest energy consumption in a single month with the actual heating energy consumption for the month.

[0090] The calculation formula for maximizing solar photovoltaic utilization efficiency can be:

[0091]

[0092] Among them, N is the solar photovoltaic utilization rate, P activate is the rated power of the phase change layer activation device, T is the activation time of the phase change layer activation device, Q power Stores electricity for photovoltaic power units.

[0093] In some optional embodiments, the step of predicting the control strategy can be completed by a machine learning model, and the preprocessed periodic feature data is input into a long short-term memory network (LSTM) timing model using a trained machine learning model to predict the environmental data, operating status data and control strategy in subsequent time periods.

[0094] At this point, those skilled in the art will recognize that, although a number of exemplary embodiments of the present invention have been shown and described in detail herein, many other variations or modifications consistent with the principles of the present invention may be directly determined or derived from the disclosure of the present invention without departing from the spirit and scope of the present invention. Therefore, the scope of the present invention should be understood and deemed to cover all such other variations or modifications.

[0095] Unless otherwise expressly specified or limited, the terms "installed," "connected," "connect," "fixed," and "disposed" should be interpreted broadly. For example, they may refer to fixed or detachable connections, or integration; mechanical or electrical connections; direct or indirect connections through an intermediate medium; and internal communication between two components or interaction between two components, unless otherwise expressly limited. A person of ordinary skill in the art should be able to understand the specific meanings of the above terms in the present invention based on the specific circumstances.

[0096] Unless otherwise defined, all terms (including technical terms and scientific terms) used in the description of the present disclosure have the same meaning as commonly understood by ordinary technicians in the technical field to which this application belongs.

[0097] In the description of this disclosure, reference to terms such as "one embodiment," "some embodiments," "illustrative embodiments," "examples," "specific examples," or "some examples" means that a specific feature, structure, or characteristic described in conjunction with that embodiment or example is included in at least one embodiment or example of the present invention. In this specification, illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0098] It should be understood by those skilled in the art that the embodiments described below are only some embodiments of the present invention, rather than all embodiments of the present invention, and that these embodiments are intended to explain the technical principles of the present invention and are not intended to limit the scope of protection of the present invention. Based on the embodiments provided by the present invention, all other embodiments obtained by those skilled in the art without creative effort should still fall within the scope of protection of the present invention.

Claims

1. A phase change Trombe wall based on intelligent predictive control, characterized in that include: Structural insulation; A first phase change layer is provided outside the structural insulation layer; a second phase change layer, disposed inside the structural insulation layer; a heat-absorbing coating layer, disposed on the outer side of the first phase change layer, for absorbing heat from solar radiation; Phase change activation devices are respectively arranged in the first phase change layer and the second phase change layer; A ventilation device for controlling the flow of gas inside the phase-change Trombe wall to achieve heat exchange; The control unit is configured to adjust the states of the phase change activation device and / or the ventilation device to achieve multiple modes of indoor temperature regulation.

2. The phase change Trombe wall based on intelligent predictive control according to claim 1, characterized in that: Also includes: A glass panel is spaced apart and arranged outside the heat-absorbing coating layer to transmit solar radiation; The air duct cavity is arranged between the heat-absorbing coating layer and the glass panel, and is used to form a sealed interlayer to isolate the influence of the outdoor environment on the indoor environment.

3. The phase change Trombe wall based on intelligent predictive control according to claim 2, characterized in that: The ventilation device comprises: Two internal ventilation openings are provided on the upper and lower sides of the structural insulation layer and are configured to be controlled to open and close respectively; Two external vents are provided on the upper and lower sides of the glass panel and are configured to be controlled to open and close respectively; And the two inner vents and the two outer vents are configured to be controlled by the control unit to form multiple ventilation states.

4. The phase change Trombe wall based on intelligent predictive control according to claim 2, characterized in that: Also includes: A photovoltaic power unit is used to provide electrical energy to the control unit; wherein, The photovoltaic power unit comprises: a solar photovoltaic panel, disposed on top of the Trombe wall, for converting absorbed solar energy into electrical energy for use by the control unit; The battery is arranged on the top of the air duct cavity and is used for storing electrical energy.

5. The phase change Trombe wall based on intelligent predictive control according to claim 1, characterized in that: The first phase change layer and the second phase change layer are phase change gypsum board panels formed by compounding phase change microcapsules and gypsum, wherein the phase change microcapsules are paraffin wax, The phase change temperature of the first phase change layer is 24±2°C, and the phase change temperature of the second phase change layer is 18±2°C.

6. A method for controlling a phase-change Trombe wall based on intelligent predictive control, for controlling the phase-change Trombe wall based on intelligent predictive control according to any one of claims 1 to 5, characterized in that: The method comprises: Obtain environmental data and operating status data; Preprocessing the environmental data and operating status data, wherein the preprocessing step includes cleaning the environmental data, operating status data and historical data and extracting periodic feature data that changes with time series; predicting a control strategy based on the periodic characteristic data; The control strategy is executed.

7. The control method of a phase change Trombe wall based on intelligent predictive control according to claim 6, characterized in that: The step of predicting the control strategy according to the periodic characteristic data includes: Determine whether the current daily average solar radiation intensity is greater than a preset first solar radiation intensity; When the current daily average solar radiation intensity is greater than the first preset solar radiation intensity, determining whether the indoor air temperature is greater than the outdoor air temperature; When the indoor air temperature is greater than the outdoor air temperature, the control strategy is a sunny day heating mode; When the indoor air temperature is lower than the outdoor air temperature, the control strategy is a sunny day ventilation mode; When the current daily average solar radiation intensity is less than the first preset solar radiation intensity, determining whether the indoor air temperature is greater than the outdoor air temperature; When the indoor air temperature is greater than the outdoor air temperature, the control strategy is a non-sunny day heating mode; When the indoor air temperature is lower than the outdoor air temperature, the control strategy is a non-sunny day ventilation mode.

8. The control method of a phase change Trombe wall based on intelligent predictive control according to claim 7, characterized in that: The sunny day heating mode is: opening the two inner vents during the day and closing the two inner vents at night; The sunny day ventilation mode is: during the day, the lower inner vent and the upper outer vent are opened; at night, the two inner vents and the two outer vents are opened; The non-sunny day heating mode is: closing the two inner vents; turning on the phase change activation device to heat the second phase change layer; The non-sunny day ventilation mode is: opening two inner vents and two outer vents, and turning on the phase change activation device to cool the second phase change layer.

9. The control method of a phase change Trombe wall based on intelligent predictive control according to claim 6, characterized in that: After the step of sending the control strategy to the control unit, the step further includes: Recording real-time environmental data and operating status data during the execution of the control strategy, and calculating the solar photovoltaic utilization rate of the control strategy; The method of predictive control strategy is trained online based on the optimization objectives of minimizing the heating energy consumption compliance rate and maximizing the solar photovoltaic utilization rate under the control strategy.

10. The control method of a phase change Trombe wall based on intelligent predictive control according to claim 9, characterized in that: The optimization objectives include: Minimize the heating energy consumption compliance rate, the calculation formula is: Among them, Q Min is the minimum daily energy consumption value in a single month, P is minimized to be the heating energy consumption compliance rate, t is the number of days in the month, Q actual is the actual heating energy consumption of the month; Maximize the utilization rate of solar photovoltaic, the calculation formula is: Among them, N is the solar photovoltaic utilization rate, P activate is the rated power of the phase change layer activation device, T is the activation time of the phase change layer activation device, Q power Stores electricity for photovoltaic power units.

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