Air conditioning system regulation and control method and system combining peak and valley electricity prices and building heat storage characteristics

By combining peak-valley electricity pricing and building heat storage characteristics, the heat storage strategy of building and hot water systems is dynamically adjusted, solving the problem of high-power operation of air conditioning systems in civil buildings during peak electricity consumption periods, achieving cost optimization and temperature stability, and improving user experience.

CN121655080APending Publication Date: 2026-03-13HUAZHONG UNIV OF SCI & TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-01-07
Publication Date
2026-03-13

AI Technical Summary

Technical Problem

Existing air conditioning systems in civil buildings do not fully utilize the heat storage potential of the buildings themselves and the hot water systems, resulting in high-power operation during peak electricity consumption periods, increasing equipment wear and operating costs. At the same time, the lack of heat storage buffering mechanisms affects the peak-valley difference of the power grid and the operating costs of users.

Method used

By combining peak and off-peak electricity prices and building heat storage characteristics, and using electricity price signals to predict heating demand, a heat storage strategy for the building and hot water system is formulated. Heat is stored during off-peak hours and released during peak hours, and the start and stop of the heat pump unit are dynamically controlled to maintain a stable indoor temperature.

Benefits of technology

It reduces electricity costs, maintains stable indoor temperatures, improves the quality of heating services and user experience, and reduces equipment wear and tear and complexity.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention provides an air conditioning system regulation and control method and system combining peak and valley electricity prices and building heat storage characteristics. The method comprises the steps that a current electricity price time period signal is confirmed; when it is determined that a valley price stage is currently entered based on an electricity price time period signal, based on prediction of heat supply demands of a peak price stage and an average price stage in a regulation and control period, a strategy for building body heat storage and hot water system heat storage collaboration is formulated, and a heat storage mode is entered according to corresponding strategy execution requirements; based on the electricity price time period signal, when it is determined that the building enters the peak price stage and then enters the average price stage at present, the heat storage mode is quitted, accumulated heat of the building body and the hot water system is released, and the indoor temperature is kept within the comfortable range; and based on the electricity price period signal, when it is determined that a peak price period is entered after the average price period is entered currently, the heat storage mode is quitted, and according to the comparison condition of the valley price stage heat storage amount and the current stage predicted heat supply demand, the heat pump unit is determined to be started and stopped, and heat storage release is arranged to maintain the room temperature.
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Description

Technical Field

[0001] This application relates to the field of air conditioning system control technology for civil buildings, and more specifically, to an air conditioning system control method and system that combines peak-valley electricity pricing and building heat storage characteristics. Background Technology

[0002] In current civil building air conditioning system control, most systems only match supply and demand based on real-time heat load, failing to fully utilize the heat storage potential of the building itself and the hot water system. This forces the system to operate at high power during peak electricity consumption periods, exacerbating the peak-valley difference in the power grid. Furthermore, the lack of a heat storage buffer mechanism leads to frequent start-stop cycles of heat pump units, causing equipment wear and energy efficiency degradation. In addition, some energy-saving control schemes require the installation of additional specialized devices such as hot water storage tanks and phase change heat storage materials, which not only increases equipment investment and building space occupation but also raises system complexity and maintenance costs. Moreover, current air conditioning system control methods are not sufficiently adaptable to peak-valley electricity pricing policies, still relying on full-load operation of heat pump units during peak pricing periods, resulting in persistently high operating costs for users. Therefore, to ensure indoor thermal comfort while reducing reliance on specialized heat storage equipment by tapping into the building's inherent heat storage capacity, and to achieve dual optimization of operating costs and grid load by combining peak-valley electricity pricing mechanisms, it is necessary to achieve minimal operating costs and ensure human thermal comfort through precise forecasting and dynamic control without the need for additional heat storage devices. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to address the shortcomings of the prior art by providing a method and system for regulating an air conditioning system that combines peak and off-peak electricity prices and building heat storage characteristics.

[0004] The technical solution of this invention to solve the above-mentioned technical problems is as follows: A method for regulating an air conditioning system that combines peak-valley electricity pricing and building heat storage characteristics, comprising the following steps:

[0005] S1. Based on the clock and electricity price time table built into the electricity price signal acquisition unit, confirm the currently existing electricity price time signal;

[0006] S2. Based on the electricity price period signal, when it is determined that the current stage is the off-peak price stage, based on the prediction of heating demand during the peak price stage and the flat price stage within the control cycle, a strategy for the coordinated heat storage of the building body and the hot water system is formulated, and the heat storage mode is entered according to the corresponding strategy execution requirements.

[0007] S3. Based on the electricity price period signal, if it is determined that the current period first enters the peak price stage and then enters the parity price stage, exit the heat storage mode and release the accumulated heat storage of the building body and hot water system to maintain the indoor temperature within a comfortable range.

[0008] S4. Based on the electricity price period signal, if the current period enters the parity period first and then the peak period, exit the heat storage mode, and determine the start / stop of the heat pump unit and arrange the release of stored heat to maintain room temperature based on the comparison between the heat storage during the valley period and the predicted heating demand during the current period.

[0009] Furthermore, in step S2, the process of predicting heating demand during peak and off-peak periods within the control cycle, and formulating a strategy for coordinated heat storage in the building structure and hot water system, and entering the heat storage mode according to the corresponding strategy execution requirements, includes:

[0010] S21, Predicting that during the peak and flat price periods of the control cycle, the maintenance of T... a,max The required cumulative heating demand Q h,p , among which, T a,max The preset upper limit for allowable fluctuations in indoor temperature;

[0011] S22, Based on the cumulative heating demand Q h,p Combined with the building's equivalent heat capacity C b and the current actual room temperature T a The target room temperature T required to achieve this heat storage is calculated. a,d ;

[0012] S23, in determining T a,d ≤T a,max When it is determined that the current building structure can store all the required heat, the required heat storage will be determined as Q. h,p Next, based on the required heat storage capacity, a heat storage demand characteristic analysis is performed to determine the number of heat pumps to be activated. This number of activated heat pumps is then used to maintain the current heat pump water supply temperature T. supply,set The state enters heat storage mode;

[0013] S24, In determining T a,d >T a,max If it is determined that the building itself cannot store heat independently and a hot water system is required for heat storage, then a comprehensive analysis of the heat storage capacity of the building and the hot water system will be conducted. Based on this analysis, the number of heat pumps to be activated will be determined, according to the stated number of heat pumps to be activated and the target water temperature T for heat storage in the hot water system. w,d Or the maximum allowable water temperature T of the hot water system w,max Based on this, and with the preset temperature increment ΔT, the water supply temperature T is determined. supply,set Enter heat storage mode.

[0014] Furthermore, in step S24, the integrated building and hot water system's heat storage capacity is analyzed, and the number of heat pumps to be activated is determined accordingly. This is based on the number of heat pumps activated and the target water temperature T for the hot water system's heat storage. w,d Or the maximum allowable water temperature T of the hot water systemw,max Based on this, and with the preset temperature increment ΔT, the water supply temperature T is determined. supply,set Entering heat storage mode includes:

[0015] S241. Set the room temperature target to T. a,max The maximum heat storage capacity Q of the building is calculated based on the principle of heat calculation that relates building heat capacity to temperature change. room,max ;

[0016] S242, Calculate the cumulative heating demand Q h,p With the building's maximum heat storage capacity Q room,max The difference between them gives the heat storage required Q for the hot water system. water ;

[0017] S243, Based on the required heat storage Q of the hot water system water The target water temperature T for the hot water system is calculated using the fundamental thermodynamic relationship between heat and water temperature changes. w,d ;

[0018] S244, Determining the target water temperature T for the hot water system's heat storage w,d Less than or equal to the maximum allowable water temperature T of the hot water system w,max When it is determined that the hot water system has the capacity to handle the allocated heat storage, the required heat storage will be determined as Q. room,max +Q water Then, based on the required heat storage capacity, a heat storage demand characteristic analysis is performed to determine the number of heat pumps to be activated, according to the stated number of heat pumps to be activated and the water supply temperature T. supply,set =T w,d The state of +ΔT enters the heat storage mode;

[0019] S245, Determining the target water temperature T for the hot water system's heat storage w,d Greater than the maximum allowable water temperature T of the hot water system w,max When it is determined that the hot water system's heat storage capacity is insufficient, it will proceed according to... The required heat storage is determined as Q. room,max +Q water,max Then, based on the required heat storage capacity, a heat storage demand characteristic analysis is performed to determine the number of heat pumps to be activated, according to the stated number of heat pumps to be activated and the water supply temperature T. supply,set =T w,max The system enters heat storage mode at a state of +ΔT.

[0020] Furthermore, the analysis of heat storage demand characteristics based on the required heat storage capacity, and the determination of the number of heat pumps to be activated accordingly, includes:

[0021] (1) Based on the building's own heat load and the required heat storage during the current off-peak price period, the total heat production Q during the off-peak price period is obtained. total ;

[0022] (2) Based on the total calorific value Q during the valley price period total Duration t of the phase period valley The ratio of the two values ​​determines the required heating power P. avg And according to the heating power P avg Determine the number N of heat pumps to be turned on.

[0023] Furthermore, in step S3, releasing the accumulated heat stored in the building body and the hot water system to maintain the indoor temperature within a comfortable range includes:

[0024] S31. Stop the heat pump unit and turn off or reduce the speed of the user-side water pump. At this time, the accumulated heat stored in the building is released until the indoor temperature T is reached. a Decrease to the lower limit of the comfortable temperature T a,min ;

[0025] S32. Control the start of the user-side water pump while keeping the heat pump unit off. At this time, release the accumulated heat stored in the hot water system and use the stored heat to heat the building until the hot water temperature drops to the minimum allowable water temperature T. w,min ;

[0026] S33. When it is determined that the heat provided by the building's heat storage and hot water system's cumulative heat release cannot meet the current heat demand, the heat pump unit shall be started to provide heat to supplement the heat gap.

[0027] Furthermore, in step S4, determining the start / stop of the heat pump unit and arranging the release of stored heat to maintain room temperature based on a comparison between the heat storage during the off-peak price period and the predicted heating demand for the current period includes:

[0028] S41. When the total heat storage stored during the peak price period is greater than or equal to the total heating demand predicted for the current period, it is determined that there is no need to start the heat pump unit. At this time, the accumulated heat storage of the building and the accumulated heat storage of the hot water system are released in sequence to ensure that the indoor temperature is always maintained within a comfortable range.

[0029] S42. When the total stored heat during the peak price period is less than the total heat demand predicted for the current period, it is determined that the heat pump unit needs to be started to supplement the energy. At this time, the heat pump unit will be started first to supply heat to make up for the heat gap, and then the heat pump unit will be stopped, and the accumulated heat storage in the building and the accumulated heat storage in the hot water system will be released in sequence until the heat storage is exhausted.

[0030] Furthermore, in step S42, the process of first starting the heat pump unit to supply heat to replenish the heat gap, then stopping the heat pump unit, and sequentially releasing the accumulated heat storage in the building and the accumulated heat storage in the hot water system until the heat storage is exhausted includes:

[0031] S421. During the parity period, the heat pump unit is started to provide heat to make up for the difference between the total heat storage during the valley period and the total heat demand predicted in the current period.

[0032] S422. After making up the difference, stop the heat pump unit, and then release the accumulated heat storage in the building and the accumulated heat storage in the hot water system in sequence until the heat storage is exhausted.

[0033] Secondly, this application discloses an air conditioning system control system that combines peak-valley electricity pricing and building heat storage characteristics. The system includes an electricity price period confirmation module, a valley-price phase control module, and a non-valley-price phase control module, wherein:

[0034] The electricity price period confirmation module is used to confirm the currently existing electricity price period signal based on the clock and electricity price period table built into the electricity price signal acquisition unit;

[0035] The valley price phase control module is used to determine the current valley price phase based on the electricity price period signal, and based on the prediction of heating demand during the peak price and flat price phases within the control cycle, formulate a strategy for coordinated heat storage of the building body and the hot water system, and enter the heat storage mode according to the corresponding strategy execution requirements.

[0036] The non-valley price phase control module is used to determine, based on the electricity price period signal, that when the current period first enters the peak price phase and then enters the parity price phase, exit the heat storage mode and release the accumulated heat storage of the building body and hot water system to maintain the indoor temperature within a comfortable range.

[0037] The non-valley price phase control module is also used to exit the heat storage mode when it is determined, based on the electricity price period signal, that the current period has entered the parity period before entering the peak period. It also determines the start and stop of the heat pump unit and arranges the release of stored heat to maintain room temperature based on the comparison between the heat storage during the valley price phase and the predicted heating demand during the current phase.

[0038] Thirdly, this application discloses a readable storage medium, which includes a method program for controlling an air conditioning system that combines peak-valley electricity prices and building heat storage characteristics. When the method program for controlling an air conditioning system that combines peak-valley electricity prices and building heat storage characteristics is executed by a processor, it implements the steps of the method described in any of the preceding claims.

[0039] The beneficial effects of this invention are:

[0040] 1) During off-peak hours, when electricity prices are relatively low, the building enters a heat storage mode, utilizing the low electricity price period to store heat in both the building structure and the hot water system. During peak hours, when electricity prices are higher, the heat stored during off-peak hours is released to meet heating demand, reducing the direct use of high-priced electricity for heating during peak hours and significantly lowering overall electricity costs, thus saving users money.

[0041] 2) When the peak price period precedes the flat price period, the heat storage mode is deactivated and the accumulated heat stored in the building and hot water system is released to replenish heat in a timely manner and maintain the indoor temperature within a comfortable range. Similarly, when the flat price period precedes the peak price period, the heat storage is released according to the actual situation to maintain room temperature. This flexible adjustment method based on different electricity price periods and heating demand ensures the relative stability of indoor temperature and avoids situations where insufficient or excessive heating due to changes in electricity price periods affects indoor comfort.

[0042] 3) By forecasting heating demand during peak and flat price periods within the regulation cycle, and adjusting strategies based on actual conditions when electricity prices change, we can better adapt to changes in heating demand at different stages, provide users with continuous and stable heating services, and improve the user experience. Attached Figure Description

[0043] Figure 1 This is a flowchart illustrating a method for regulating an air conditioning system that combines peak-valley electricity pricing and building heat storage characteristics, as disclosed in this invention.

[0044] Figure 2 This is a schematic diagram of the structure of an air conditioning system control system that combines peak-valley electricity pricing and building heat storage characteristics, as disclosed in this invention.

[0045] Figure 3 This is a schematic diagram of the structure of a readable storage medium disclosed in this invention. Detailed Implementation

[0046] The principles and features of the present invention are described below with reference to the accompanying drawings. The examples given are only for explaining the present invention and are not intended to limit the scope of the present invention.

[0047] like Figure 1 As shown, this application discloses a method for regulating an air conditioning system that combines peak-valley electricity pricing and building heat storage characteristics, comprising the following steps:

[0048] Step S1: Based on the clock and electricity price time table built into the electricity price signal acquisition unit, confirm the currently existing electricity price time signal.

[0049] Step S2: Based on the electricity price time period signal, when it is determined that the current stage is the off-peak price stage, based on the prediction of heating demand during the peak price and flat price stages within the control cycle, a strategy for coordinated heat storage of the building body and the hot water system is formulated, and the heat storage mode is entered according to the corresponding strategy execution requirements.

[0050] Step S3: Based on the electricity price time period signal, if the current period first enters the peak price stage and then enters the parity price stage, exit the heat storage mode and release the accumulated heat storage of the building body and hot water system to maintain the indoor temperature within a comfortable range.

[0051] Step S4: Based on the electricity price period signal, if the current period is first in the parity period and then in the peak period, exit the heat storage mode, and determine the start / stop of the heat pump unit and arrange the release of stored heat to maintain room temperature based on the comparison between the heat storage during the valley period and the predicted heating demand during the current period.

[0052] As can be seen from the above, the air conditioning system control method disclosed in this application, which combines peak and off-peak electricity prices and building heat storage characteristics, enters a heat storage mode during off-peak periods when electricity prices are relatively low. This mode utilizes the low-price period to store heat in the building itself and the hot water system. During peak periods, when electricity prices are higher, the heat stored during off-peak periods is released to meet heating demand, reducing the direct use of high-priced electricity for heating during peak periods and significantly lowering overall electricity costs, thus saving expenses for users. When entering a peak-price period first and then a parity period, the heat storage mode is exited, and the accumulated heat in the building and hot water system is released to replenish heat promptly and maintain indoor temperature within a comfortable range. Similarly, when entering a parity period first and then a peak-price period, the heat storage release is arranged according to the actual situation to maintain room temperature. This flexible adjustment method, based on different electricity price periods and heating demand, ensures a relatively stable indoor temperature and avoids situations where insufficient or excessive heating affects indoor comfort due to changes in electricity price periods. By predicting heating demand during peak and flat price periods within the control cycle, and adjusting strategies according to actual conditions when switching between different electricity price periods, it can better adapt to changes in heating demand at different stages, providing users with continuous and stable heating services and improving the user experience.

[0053] In one embodiment, step S2, based on the prediction of heating demand during peak and off-peak periods within the control cycle, and accordingly formulating a strategy for coordinated heat storage of the building structure and the hot water system, and entering the heat storage mode according to the corresponding strategy execution requirements, includes:

[0054] Step S21, predict the peak price period and the flat price period within the control cycle to maintain T a,max The required cumulative heating demand Q h,p , among which, T a,max This is the preset upper limit for the allowable fluctuation of indoor temperature.

[0055] Specifically, this application, based on a load forecasting model, predicts the cumulative heating demand Q during the grid price and peak price periods within the control cycle, while considering maintaining the upper limit of indoor comfort temperature. h,p .

[0056] In one embodiment, the load forecasting model uses a Long Short-Term Memory (LSTM) network as its core forecasting engine. This model outputs a sequence of predicted building heat load values ​​Q, with a time step of 1 hour, for the period between peak and flat prices, preceding the next trough price period. load (t). Considering that each time step corresponds to 3600 seconds, the predicted building heat load for each time step is multiplied by the corresponding time step (3600 seconds) and then summed to obtain the cumulative heating demand Q. h,p .

[0057] In one embodiment, the cumulative heating demand Q h,p The calculation formula is as follows:

[0058] ;

[0059] Among them, T non-valley This represents the set of time steps corresponding to all peak and flat price periods before the next trough price period. Δt represents the number of seconds corresponding to the current prediction time step (for example, if the prediction time step is 1 hour, then Δt is 3600s).

[0060] Step S22, based on the cumulative heating demand Q h,p Combined with the building's equivalent heat capacity C b and the current actual room temperature T a The target room temperature T required to achieve this heat storage is calculated. a,d .

[0061] Specifically, this application is based on the aforementioned cumulative heating demand Q. h,p The target room temperature value T is calculated using the following temperature derivation formula. a,d The specific calculation formula is as follows:

[0062] T a,d = T a + Q h,p / C b ;

[0063] Among them, T a The current room temperature is represented by the measured value, C. b =∑(m i ·c i ) represents the equivalent heat capacity of the building body, i represents different building envelopes, and m i Let c represent the mass of the i-th enclosure structure. i This represents the specific heat capacity of the i-th building envelope material.

[0064] Step S23, after determining T a,d ≤T a,maxWhen it is determined that the current building structure can store all the required heat, the required heat storage will be determined as Q. h,p Next, based on the required heat storage capacity, a heat storage demand characteristic analysis is performed to determine the number of heat pumps to be activated. This number of activated heat pumps is then used to maintain the current heat pump water supply temperature T. supply,set It enters heat storage mode.

[0065] Specifically, this application will calculate the total heating capacity based on the heat load information during off-peak periods, and then deduce the heating power to determine the number of heat pumps to be activated.

[0066] Step S24, after determining T a,d >T a,max If it is determined that the building itself cannot store heat independently and a hot water system is required for heat storage, then a comprehensive analysis of the heat storage capacity of the building and the hot water system will be conducted. Based on this analysis, the number of heat pumps to be activated will be determined, according to the stated number of heat pumps to be activated and the target water temperature T for heat storage in the hot water system. w,d Or the maximum allowable water temperature T of the hot water system w,max Based on this, and with the preset temperature increment ΔT, the water supply temperature T is determined. supply,set Enter heat storage mode.

[0067] It should be noted that when determining the number of heat pumps to operate, it is necessary to not only meet the current heat storage demand but also consider the long-term operating costs and reliability of the system. For the supply water temperature, the target water temperature T for heat storage in the hot water system should be used. w,d Or the maximum allowable water temperature T of the hot water system w,max Adding a preset temperature increment ΔT to the base is to optimize the system's heat exchange efficiency and reduce heat loss while ensuring the quality of hot water supply, so that the entire system can achieve the best energy utilization effect in the heat storage mode.

[0068] In one embodiment, in step S24, the integrated building and hot water system's heat storage capacity is analyzed, and the number of heat pumps to be activated is determined accordingly. The number of heat pumps to be activated is then determined based on the target water temperature T for the hot water system's heat storage. w,d Or the maximum allowable water temperature T of the hot water system w,max Based on this, and with the preset temperature increment ΔT, the water supply temperature T is determined. supply,set Entering heat storage mode includes:

[0069] Step S241, set the room temperature target to T a,max The maximum heat storage capacity Q of the building is calculated based on the principle of heat calculation that relates building heat capacity to temperature change. room,max .

[0070] Specifically, this application calculates the maximum heat storage capacity Q of the building using the following formula. room,max :

[0071] ;

[0072] Among them, C b T represents the building's equivalent heat capacity (reflecting the building's ability to store heat). a,当前 T represents the current room temperature. a,max - T a,当前 The difference reflects the range of temperature change. Multiplying the two values ​​specifically means calculating the maximum amount of heat that can be stored based on the building's thermal characteristics and the amount of temperature change.

[0073] Step S242, calculate the cumulative heating demand Q h,p With the building's maximum heat storage capacity Q room,max The difference between them gives the heat storage required Q for the hot water system. water .

[0074] Specifically, Q h,p -Q room,max The difference Q between them water This can be understood as the need to replenish the stored heat through a hot water system after the building's own heat storage capacity has reached its limit, in order to ensure that the building's heating needs can be met.

[0075] Step S243, based on the required heat storage Q of the hot water system water The target water temperature T for the hot water system is calculated using the fundamental thermodynamic relationship between heat and water temperature changes. w,d .

[0076] Specifically, this application calculates the target water temperature T for the hot water system using the following formula. w,d :

[0077] ;

[0078] Among them, T w,base This indicates the current reference water temperature of the hot water system, in meters (m). w c represents the mass of water in a hot water system. p This indicates the specific heat capacity of water.

[0079] Step S244: Determine the target water temperature T for heat storage in the hot water system. w,d Less than or equal to the maximum allowable water temperature T of the hot water system w,max When it is determined that the hot water system has the capacity to handle the allocated heat storage, the required heat storage will be determined as Q. room,max +Q water Then, based on the required heat storage capacity, a heat storage demand characteristic analysis is performed to determine the number of heat pumps to be activated, according to the stated number of heat pumps to be activated and the water supply temperature T. supply,set =T w,d The system enters heat storage mode at a state of +ΔT.

[0080] Specifically, this application will sum the required heat storage capacity with the building's own heat load during the off-peak price period to obtain the total heat production capacity Q during the off-peak price period. total Subsequently, considering system operation strategies such as the stability of power supply during off-peak pricing periods, start-up and shutdown losses of heat pump units, and the overall energy efficiency of the system, the total heating capacity Q during that off-peak pricing period will be used as the basis for the decision. total Compared with the known stage duration t valley The ratio between them determines the required heating power P. avg Finally, the number of heat pumps N to be activated is calculated using the floor function (see later content for details), and then calculated according to this number of heat pumps N and the water supply temperature T. supply,set =T w,d The system enters heat storage mode when the temperature reaches +ΔT (where ΔT represents the temperature increment set to ensure a stable hot water supply temperature).

[0081] Step S245, after determining the target water temperature T for heat storage in the hot water system. w,d Greater than the maximum allowable water temperature T of the hot water system w,max When it is determined that the hot water system's heat storage capacity is insufficient, it will proceed according to... The required heat storage is determined as Q. room,max +Q water,max Then, based on the required heat storage capacity, a heat storage demand characteristic analysis is performed to determine the number of heat pumps to be activated, according to the stated number of heat pumps to be activated and the water supply temperature T. supply,set =T w,max The system enters heat storage mode at a state of +ΔT.

[0082] Specifically, T w,d > T w,max This indicates that the hot water system's heat storage capacity is insufficient. In this case, the target water temperature for heat storage will be set to T. w,max Based on this, the actual maximum heat storage capacity Q of the hot water system is recalculated. water,max ,Right now It should be noted that this calculation is based on the physical characteristics of the hot water system, where m w c represents the quality of water in a hot water system. p The specific heat capacity of water is given by the formula, which represents the maximum amount of heat that the system can store under a given range of water temperature changes. The purpose is to reasonably determine the amount of heat storage when the heat storage capacity is limited, so as to accurately analyze the heat storage demand and determine the number of heat pumps to be turned on, and ensure that the system stores heat as efficiently as possible during off-peak periods.

[0083] In one embodiment, the step of analyzing the heat storage demand characteristics based on the required heat storage capacity and determining the number of heat pumps to be activated includes:

[0084] (1) Based on the building's own heat load and the required heat storage during the current off-peak price period, the total heat production Q during the off-peak price period is obtained. total .

[0085] Specifically, this application will add the building's own heat load and the required heat storage during the off-peak period to obtain the total heat production Q during the off-peak period. total .

[0086] (2) Based on the total calorific value Q during the valley price period total Duration t of the phase period valley The ratio of the two values ​​determines the required heating power P. avg And according to the heating power P avg Determine the number N of heat pumps to be turned on.

[0087] Specifically, this application will be based on the calculated total calorific value Q during the valley price period. total Compared with the known stage duration t valley The required heating power P is determined by calculating the ratio between the two. avg This heating capacity reflects the average heat production capacity required per unit time during periods of low prices.

[0088] Subsequently, to ensure stable and sufficient heating during off-peak periods and to guarantee that the total heating capacity of the heat pump can cover the required heating power, this application will be made in accordance with: ceil(P avg / Rated power of a single heat pump P unit Determine the number of heat pumps N to be turned on, where ceil represents the floor function. It should be noted that P... avg / P unit The ratio of the two reflects the theoretical number of heat pumps that need to be turned on (which may contain decimals), while the rounding function ceil ensures that the total heating capacity of the heat pumps can fully cover the required heating power.

[0089] In one embodiment, step S3, releasing the accumulated heat stored in the building body and the hot water system to maintain the indoor temperature within a comfortable range, includes:

[0090] Step S31: Stop the heat pump unit and turn off or reduce the speed of the user-side water pump. At this time, the accumulated heat stored in the building is released until the indoor temperature T is reached. a Decrease to the lower limit of the comfortable temperature T a,min .

[0091] Specifically, buildings have significant thermal inertia, and their building envelope (such as walls and roofs) stores a large amount of heat during the previous heat storage process. After the heat pump unit is stopped and the water pump speed is adjusted, this stored heat will gradually be released into the indoor space, thus maintaining the indoor temperature for a certain period of time. However, as heat is continuously lost, the indoor temperature will gradually drop to the lower limit of the comfortable temperature range (T). a,min .

[0092] Step S32: Control the user-side water pump to start, while the heat pump unit remains off. At this time, release the accumulated heat stored in the hot water system and use the heat stored in the hot water to heat the building until the hot water temperature drops to the minimum allowable water temperature T. w,min .

[0093] Specifically, the heat stored in the hot water system is carried by hot water. When the user-side water pump is turned on, the hot water circulates in the pipes and transfers heat to the air in the building or other heating terminals through heat exchangers and other equipment. As heat is continuously released into the building, the temperature of the hot water gradually decreases until it drops to the minimum allowable water temperature T set by the system. w,min .

[0094] Step S33: When it is determined that the heat provided by the cumulative release of heat from the building's heat storage and hot water system cannot meet the heat demand at the current stage, the heat pump unit is started to provide heat to make up for the heat gap.

[0095] Specifically, starting a heat pump unit can rapidly increase heating capacity and promptly compensate for the heat gap caused by insufficient heat storage and release from the building's heat storage and hot water system. During operation, the heat pump unit can automatically adjust its operating parameters according to actual heat demand to ensure the normal operation of the building's heating system and prevent indoor temperature drops that could affect comfort due to insufficient heat.

[0096] In one embodiment, step S4, which involves determining the start / stop of the heat pump unit and arranging the release of stored heat to maintain room temperature based on a comparison between the heat storage during the off-peak price period and the predicted heating demand for the current period, includes:

[0097] Step S41: When the total heat storage stored during the valley price period is greater than or equal to the total heating demand predicted for the current period, it is determined that there is no need to start the heat pump unit. At this time, the accumulated heat storage of the building and the accumulated heat storage of the hot water system are released in sequence to ensure that the indoor temperature is always maintained within a comfortable range.

[0098] Specifically, this application first releases the building's accumulated heat storage. During this process, indoor temperature sensors monitor indoor temperature changes in real time. When the indoor temperature approaches the lower limit of the comfort range, the rate of heat release can be appropriately slowed down. Next, when the building's accumulated heat storage has been released to a certain extent, and the indoor temperature still shows a downward trend and is significantly close to the lower limit of the comfort range, the accumulated heat storage in the hot water system is released. The heat stored in the hot water system is then transferred to indoor radiators or underfloor heating systems through circulating hot water pipes, further increasing the indoor temperature. Throughout the entire heat storage release process, this application continuously adjusts the intensity and pace of heat storage release from the building and hot water system based on data from the indoor temperature sensors, ensuring that the indoor temperature remains within a comfortable range.

[0099] In step S42, when it is determined that the total heat storage during the valley price period is less than the total heat demand predicted in the current period, it is determined that the heat pump unit needs to be started to supplement the energy. At this time, the heat pump unit will be started first to supply heat to make up for the heat gap, and then the heat pump unit will be stopped, and the accumulated heat storage in the building and the accumulated heat storage in the hot water system will be released in sequence until the heat storage is exhausted.

[0100] Specifically, this application first sends a start-up command to the heat pump unit, causing the key components of the unit to operate and supply heat according to the set parameters. Then, when it is determined that the heat gap has been basically filled, a stop command is issued to gradually shut down the unit. Next, the accumulated heat storage in the building and the accumulated heat storage in the hot water system are released sequentially until the heat storage is exhausted.

[0101] In one embodiment, step S42, which involves first starting the heat pump unit to supply heat to fill the heat gap, then stopping the heat pump unit and sequentially releasing the building's accumulated heat storage and the hot water system's accumulated heat storage until the heat storage is exhausted, includes:

[0102] Step S421: During the parity period, the heat pump unit is started to provide heat to make up for the difference between the total heat storage during the valley period and the total heat demand predicted in the current period.

[0103] Step S422: After making up the difference, stop the heat pump unit, and then release the accumulated heat storage in the building and the accumulated heat storage in the hot water system in sequence until the heat storage is exhausted.

[0104] like Figure 2 As shown, this application discloses an air conditioning system control system that combines peak-valley electricity pricing and building heat storage characteristics. The system includes an electricity price period confirmation module, a valley-price phase control module, and a non-valley-price phase control module, wherein:

[0105] The electricity price period confirmation module is used to confirm the currently existing electricity price period signal based on the clock and electricity price period table built into the electricity price signal acquisition unit.

[0106] The off-peak price phase control module is used to determine when the current off-peak price phase is entered based on the electricity price period signal, and to formulate a strategy for coordinated heat storage of the building body and the hot water system based on the prediction of heating demand during the peak price and flat price phases within the control cycle, and to enter the heat storage mode according to the corresponding strategy execution requirements.

[0107] The non-valley price phase control module is used to exit the heat storage mode and release the accumulated heat of the building body and hot water system when the current peak price phase is entered first and then the parity price phase is entered based on the electricity price period signal, so as to maintain the indoor temperature within a comfortable range.

[0108] The non-valley price phase control module is also used to exit the heat storage mode when it is determined, based on the electricity price period signal, that the current period has entered the parity period before entering the peak period. It also determines the start and stop of the heat pump unit and arranges the release of stored heat to maintain room temperature based on the comparison between the heat storage during the valley price phase and the predicted heating demand during the current phase.

[0109] In one embodiment, the above modules are also used to implement an air conditioning system control method that combines peak-valley electricity prices and building heat storage characteristics as described in any of the foregoing method embodiments, and this application does not limit this.

[0110] As can be seen from the above, the air conditioning system control system disclosed in this application, which combines peak and off-peak electricity prices and building heat storage characteristics, enters a heat storage mode during off-peak periods when electricity prices are relatively low. This mode utilizes the low-price period to store heat in the building itself and the hot water system. During peak periods, when electricity prices are higher, the system releases the heat stored during off-peak periods to meet heating demand, reducing the direct use of high-priced electricity for heating during peak periods and significantly lowering overall electricity costs, thus saving users money. When entering a peak-price period first and then a parity period, the system exits the heat storage mode and releases the accumulated heat from the building and hot water system, promptly replenishing heat and maintaining indoor temperature within a comfortable range. Similarly, when entering a parity period first and then a peak-price period, the system releases stored heat according to actual conditions to maintain room temperature. This flexible adjustment method, based on different electricity price periods and heating demand, ensures a relatively stable indoor temperature and avoids situations where insufficient or excessive heating affects indoor comfort due to changes in electricity price periods. By predicting heating demand during peak and flat price periods within the control cycle, and adjusting strategies according to actual conditions when switching between different electricity price periods, it can better adapt to changes in heating demand at different stages, providing users with continuous and stable heating services and improving the user experience.

[0111] Please refer to Figure 3This application discloses a readable storage medium, which includes a method program for controlling an air conditioning system that combines peak-valley electricity prices and building heat storage characteristics. When the method program for controlling an air conditioning system that combines peak-valley electricity prices and building heat storage characteristics is executed by a processor, it implements the steps of the method described in any of the preceding claims.

[0112] As can be seen from the above, the readable storage medium disclosed in this application, during off-peak periods when electricity prices are relatively low, enters a heat storage mode, utilizing the low electricity price period to store heat in the building structure and hot water system. During peak periods when electricity prices are higher, the heat stored during off-peak periods is released to meet heating demand, reducing the direct use of high-priced electricity for heating during peak periods and significantly lowering overall electricity costs, saving users money. When entering a peak period first and then a parity period, the heat storage mode is exited, and the accumulated heat in the building structure and hot water system is released, timely replenishing heat and maintaining indoor temperature within a comfortable range. When entering a parity period first and then a peak period, the heat storage release is also arranged according to the actual situation to maintain room temperature. This flexible adjustment method, based on different electricity price periods and heating demand, ensures a relatively stable indoor temperature and avoids situations where insufficient or excessive heating affects indoor comfort due to changes in electricity price periods. By predicting heating demand during peak and flat price periods within the control cycle, and adjusting strategies according to actual conditions when switching between different electricity price periods, it can better adapt to changes in heating demand at different stages, providing users with continuous and stable heating services and improving the user experience.

[0113] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for regulating an air conditioning system that combines peak-valley electricity pricing and building heat storage characteristics, characterized in that, Includes the following steps: S1. Based on the clock and electricity price time table built into the electricity price signal acquisition unit, confirm the currently existing electricity price time signal; S2. Based on the electricity price period signal, when it is determined that the current stage is the off-peak price stage, based on the prediction of heating demand during the peak price stage and the flat price stage within the control cycle, a strategy for the coordinated heat storage of the building body and the hot water system is formulated, and the heat storage mode is entered according to the corresponding strategy execution requirements. S3. Based on the electricity price period signal, if it is determined that the current period first enters the peak price stage and then enters the parity price stage, exit the heat storage mode and release the accumulated heat storage of the building body and hot water system to maintain the indoor temperature within a comfortable range. S4. Based on the electricity price period signal, if the current period enters the parity period first and then the peak period, exit the heat storage mode, and determine the start / stop of the heat pump unit and arrange the release of stored heat to maintain room temperature based on the comparison between the heat storage during the valley period and the predicted heating demand during the current period.

2. The method according to claim 1, characterized in that, In step S2, the process of predicting heating demand during peak and off-peak periods within the control cycle, and formulating a strategy for coordinated building heat storage and hot water system heat storage, and entering heat storage mode according to the corresponding strategy execution requirements, includes: S21, Predicting that during the peak and flat price periods of the control cycle, the maintenance of T... a,max The required cumulative heating demand Q h,p , among which, T a,max This is the preset upper limit for the allowable fluctuation of indoor temperature; S22, Based on the cumulative heating demand Q h,p Combined with the building's equivalent heat capacity C b and the current actual room temperature T a The target room temperature T required to achieve this heat storage is calculated. a,d ; S23, in determining T a,d ≤T a,max When it is determined that the current building structure can store all the required heat, the required heat storage will be determined as Q. h,p Next, based on the required heat storage capacity, a heat storage demand characteristic analysis is performed to determine the number of heat pumps to be activated. This number of activated heat pumps is then used to maintain the current heat pump water supply temperature T. supply,set The state enters heat storage mode; S24, In determining T a,d >T a,max If it is determined that the building itself cannot store heat independently and a hot water system is required for heat storage, then a comprehensive analysis of the heat storage capacity of the building and the hot water system will be conducted. Based on this analysis, the number of heat pumps to be activated will be determined, according to the stated number of heat pumps to be activated and the target water temperature T for heat storage in the hot water system. w,d Or the maximum allowable water temperature T of the hot water system w,max Based on this, and with the preset temperature increment ΔT, the water supply temperature T is determined. supply,set Enter heat storage mode.

3. The method according to claim 2, characterized in that, In step S24, the integrated building and hot water system's heat storage capacity is analyzed, and the number of heat pumps to be activated is determined accordingly. This is based on the number of heat pumps activated and the target water temperature T for the hot water system's heat storage. w,d Or the maximum allowable water temperature T of the hot water system w,max Based on this, and with the preset temperature increment ΔT, the water supply temperature T is determined. supply,set Entering heat storage mode includes: S241. Set the room temperature target to T. a,max The maximum heat storage capacity Q of the building is calculated based on the principle of heat calculation that relates building heat capacity to temperature change. room,max ; S242, Calculate the cumulative heating demand Q h,p With the building's maximum heat storage capacity Q room,max The difference between them gives the heat storage required Q for the hot water system. water ; S243, Based on the required heat storage Q of the hot water system water The target water temperature T for the hot water system is calculated using the fundamental thermodynamic relationship between heat and water temperature changes. w,d ; S244, Determining the target water temperature T for the hot water system's heat storage w,d Less than or equal to the maximum allowable water temperature T of the hot water system w,max When it is determined that the hot water system has the capacity to handle the allocated heat storage, the required heat storage will be determined as Q. room,max +Q water Then, based on the required heat storage capacity, a heat storage demand characteristic analysis is performed to determine the number of heat pumps to be activated, according to the stated number of heat pumps to be activated and the water supply temperature T. supply,set =T w,d The state of +ΔT enters the heat storage mode; S245, Determining the target water temperature T for the hot water system's heat storage w,d Greater than the maximum allowable water temperature T of the hot water system w,max When it is determined that the hot water system's heat storage capacity is insufficient, it will proceed according to... The required heat storage is determined as Q. room,max +Q water,max Then, based on the required heat storage capacity, a heat storage demand characteristic analysis is performed to determine the number of heat pumps to be activated, according to the stated number of heat pumps to be activated and the water supply temperature T. supply,set =T w,max The system enters heat storage mode at a state of +ΔT.

4. The method according to claim 3, characterized in that, The analysis of heat storage demand characteristics based on the required heat storage capacity, and the determination of the number of heat pumps to be activated accordingly, includes: (1) Based on the building's own heat load and the required heat storage during the current off-peak price period, the total heat production Q during the off-peak price period is obtained. total ; (2) Based on the total calorific value Q during the valley price period total Duration t of the phase period valley The ratio of the two values ​​determines the required heating power P. avg And according to the heating power P avg Determine the number N of heat pumps to be turned on.

5. The method according to claim 1, characterized in that, In step S3, releasing the accumulated heat stored in the building body and the hot water system to maintain the indoor temperature within a comfortable range includes: S31. Stop the heat pump unit and turn off or reduce the speed of the user-side water pump. At this time, the accumulated heat stored in the building is released until the indoor temperature T is reached. a Decrease to the lower limit of the comfortable temperature T a,min ; S32. Control the start of the user-side water pump while keeping the heat pump unit off. At this time, release the accumulated heat stored in the hot water system and use the stored heat to heat the building until the hot water temperature drops to the minimum allowable water temperature T. w,min ; S33. When it is determined that the heat provided by the building's heat storage and hot water system's cumulative heat release cannot meet the current heat demand, the heat pump unit shall be started to provide heat to supplement the heat gap.

6. The method according to claim 1, characterized in that, In step S4, determining the start / stop of the heat pump unit and arranging the release of stored heat to maintain room temperature based on a comparison between the heat storage during the off-peak price period and the predicted heating demand for the current period includes: S41. When the total heat storage stored during the peak price period is greater than or equal to the total heating demand predicted for the current period, it is determined that there is no need to start the heat pump unit. At this time, the accumulated heat storage of the building and the accumulated heat storage of the hot water system are released in sequence to ensure that the indoor temperature is always maintained within a comfortable range. S42. When the total stored heat during the peak price period is less than the total heat demand predicted for the current period, it is determined that the heat pump unit needs to be started to supplement the energy. At this time, the heat pump unit will be started first to supply heat to make up for the heat gap, and then the heat pump unit will be stopped, and the accumulated heat storage in the building and the accumulated heat storage in the hot water system will be released in sequence until the heat storage is exhausted.

7. The method according to claim 6, characterized in that, In step S42, the process of first starting the heat pump unit to supply heat to replenish the heat gap, then stopping the heat pump unit, and sequentially releasing the accumulated heat storage in the building and the accumulated heat storage in the hot water system until the heat storage is exhausted includes: S421. During the parity period, the heat pump unit is started to provide heat to make up for the difference between the total heat storage during the valley period and the total heat demand predicted in the current period. S422. After making up the difference, stop the heat pump unit, and then release the accumulated heat storage in the building and the accumulated heat storage in the hot water system in sequence until the heat storage is exhausted.

8. A control system for an air conditioning system that combines peak-valley electricity pricing and building heat storage characteristics, characterized in that, The system includes an electricity price period confirmation module, an off-peak price control module, and a non-off-peak price control module, wherein: The electricity price period confirmation module is used to confirm the currently existing electricity price period signal based on the clock and electricity price period table built into the electricity price signal acquisition unit; The valley price phase control module is used to determine the current valley price phase based on the electricity price period signal, and based on the prediction of heating demand during the peak price and flat price phases within the control cycle, formulate a strategy for coordinated heat storage of the building body and the hot water system, and enter the heat storage mode according to the corresponding strategy execution requirements. The non-valley price phase control module is used to determine, based on the electricity price period signal, that when the current period first enters the peak price phase and then enters the parity price phase, exit the heat storage mode and release the accumulated heat storage of the building body and hot water system to maintain the indoor temperature within a comfortable range. The non-valley price phase control module is also used to exit the heat storage mode when it is determined, based on the electricity price period signal, that the current period has entered the parity period before entering the peak period. It also determines the start and stop of the heat pump unit and arranges the release of stored heat to maintain room temperature based on the comparison between the heat storage during the valley price phase and the predicted heating demand during the current phase.

9. A readable storage medium, characterized in that, The readable storage medium includes a method program for controlling an air conditioning system that combines peak-valley electricity prices and building heat storage characteristics. When the method program for controlling an air conditioning system that combines peak-valley electricity prices and building heat storage characteristics is executed by a processor, it implements the steps of the method as described in any one of claims 1 to 7.