CN112361450A - Heat exchange station feedback prediction regulation and control method based on indoor temperature - Google Patents
Heat exchange station feedback prediction regulation and control method based on indoor temperature Download PDFInfo
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Abstract
The invention provides a heat exchange station feedback prediction regulation and control method based on indoor temperature, which aims to solve the problems of high energy consumption and low thermal comfort caused by the existing heat exchange station feedforward regulation method and mainly comprises the steps of establishing a secondary water supply temperature prediction model; determining the temperature difference change values of supply and return water at different outdoor temperatures; determining an adjustment period and time; and determining a secondary water supply temperature correction model. Compared with the traditional adjusting method, the method can ensure the operation stability of the pipe network, improve the thermal comfort of the heat consumer, and realize the energy-saving operation of the heat supply system.
Description
Technical Field
The invention belongs to the technical field of heat supply and energy conservation, and particularly relates to a feedback prediction regulation and control method of a heat exchange station based on indoor temperature.
Background
The final goal of heat supply is to reach the indoor temperature, and only reaching a comfortable room temperature of the heat demand of the user can be said to really realize the heat supply according to the demand. With the rapid development of intellectualization, most heat stations in China currently realize remote monitoring and remote control of heat supply parameters, so that heat supply company personnel can check the heat supply parameters of the whole heat supply system at any time and any place and make an energy-saving regulation and control strategy in time, which means that the energy consumption caused by the lagging infrastructure is gradually reduced. But the problems of poor thermal comfort and high energy consumption still exist. The main reason is that most of the existing prediction regulation and control methods of the heat exchange station are based on feedforward regulation of outdoor meteorological parameters, influence of building heat inertia on control parameters is not considered, meanwhile, indoor temperature is not considered as influence factors or feedback regulation factors of heat supply parameters, and the phenomenon that high energy consumption and low heat comfort degree of the heat exchange station are not matched is caused.
Therefore, in order to realize energy-saving economical operation of a heating system and improve the thermal comfort of users, a secondary water supply temperature feedback prediction regulation and control method based on indoor temperature of a heat exchange station needs to be researched urgently.
Disclosure of Invention
The invention aims to solve the problems of high energy consumption and low thermal comfort caused by feedforward regulation of the conventional heat exchange station, and provides a secondary water supply temperature feedback prediction regulation and control method of the heat exchange station based on indoor temperature, so that a heat supply system is guided to operate in an energy-saving manner, and heat supply is really realized according to needs.
The invention is realized by the following technical scheme:
a heat exchange station feedback prediction regulation and control method based on indoor temperature comprises the following steps:
step one, establishing a secondary water supply temperature prediction model;
determining temperature difference change values of supply water and return water at different outdoor temperatures;
determining the adjustment period and time of the prediction parameters;
and step four, determining a secondary water supply temperature correction model.
The step one of establishing the secondary water supply temperature prediction model comprises the following steps of adopting a theoretical sensitivity analysis method to analyze a first-order linear model of the indoor temperature dynamic change of the hot user:
in the formula, KradiatorThe heat transfer coefficient is the comprehensive heat transfer coefficient of the radiator, kJ/(. degree.C.) of square meter; fradiatorThe total heat exchange area of the radiator and the square meter; k, the comprehensive heat transfer coefficient of the building, kJ/(. degree. C.) of square meter; f, building total heat dissipation area and square meter; t ispjThe average temperature of the heating system is measured,
Tgfor a secondary water supply temperature, ThThe secondary backwater temperature, DEG C; t isinIndoor temperature, deg.C; t isoutOutdoor temperature, deg.C;
definitions kappa. KF/KradiatorFradiatorThe physical meaning is the ratio of the heat dissipation loss of a certain type of building unit to the heat release of a heat dissipation device unit, and represents the thermal performance of different buildings, then:
κi+1＝α·κi+β·ΔTo
secondary water supply temperature in i +1 time period
Comprises the following steps:
in the formula (I), the compound is shown in the specification,
an indoor temperature value at i +1 time period, which is a set target temperature value, DEG C;
outdoor temperature value at i +1 time interval; kappaiTime i thermal inertia coefficient; α and β are coefficients to be solved, Δ ToIs composed of
℃；
The temperature value of secondary water supply is in the range of i time period, DEG C;
the temperature value of secondary backwater at the time period i is DEG C; zeta is the variable quantity of the temperature difference of the supply return water in the i +1 time period and the i time period.
The step two of determining the supply and return water temperature difference variable quantity under different outdoor temperatures comprises the following steps: carrying out correlation analysis on historical daily water supply temperature, daily backwater temperature, daily water supply and return average temperature and outdoor temperature of the heat exchange station, and determining a correlation relation:
Tg＝A·To+B
Th＝C·To+D
Tpj＝(A+C)/2·To+(B+D)/2
the supply and return water temperature difference variation zeta is as follows:
the step three of determining the adjustment period and time of the prediction parameters comprises the following steps: and the regulation and control period T is consistent with the change of the indoor temperature. After determining the adjustment period T, two delays are taken into account, the first being the delay τ of the outdoor temperature through the building envelope reaction to the indoor temperature1The second is that the pipe network is at a certain distance from the hot users, i.e. the delay tau of the pipe network2The delays are determined by cross-correlation analysis, where1Is to perform cross-correlation analysis, tau, on real-time outdoor temperature and indoor temperature2Is the cross correlation to the secondary supply/return water temperature of the heat exchange station.
The step four of determining the secondary water supply temperature correction model comprises the following steps of: the system comprises a solar radiation correction model, an outdoor temperature uncertainty correction model and a thermal user behavior correction model, wherein the solar radiation correction model is used for determining the influence of solar radiation on the temperature rise of room temperature, namely the following relational expression is determined:
in the formula
Room temperature rise, DEG C; sr is solar radiation and W/square meter.
The outdoor temperature uncertainty correction model is as follows:
in the formula,. DELTA.ToIs the actual outdoor temperature every 10 minutes
The difference of (c).
The indoor thermal user behavior modification model is as follows:
in the formula,. DELTA.TinIs the actual indoor temperature every 10 minutes
The difference of (c).
The invention has the advantages and beneficial effects that:
the invention provides a heat exchange station feedback prediction regulation and control method based on indoor temperature, which can ensure the operation stability of a pipe network, improve the thermal comfort of a heat user and realize the energy-saving operation of a heat supply system compared with the traditional feedforward regulation method.
Drawings
FIG. 1 is a flow chart of the present invention.
FIG. 2 is a diagram illustrating the steps of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer and more obvious, the present invention is further described below with reference to the accompanying drawings and the detailed description.
Fig. 1 shows a flow chart of a method for predicting and controlling a temperature of secondary water supply of a heat exchange station based on an indoor temperature according to an embodiment of the present invention, where the method includes:
(1) establishing a secondary water supply temperature prediction model
The first order linear model of the dynamic change of the temperature in the hot user room is:
in the formula, KradiatorThe heat transfer coefficient is the comprehensive heat transfer coefficient of the radiator, kJ/(. degree.C.) of square meter; fradiatorThe total heat exchange area of the radiator and the square meter; k, the comprehensive heat transfer coefficient of the building, kJ/(. degree. C.) of square meter; f, building total heat dissipation area and square meter; t ispjThe average temperature of the heating system is measured,
Tgfor a secondary water supply temperature, ThThe secondary backwater temperature, DEG C; t isinIndoor temperature, deg.C; t isoutOutdoor temperature, deg.C;
the rate of change of the indoor temperature of the hot user is related to the difference between the heat dissipating capacity of the radiator and the heat dissipating capacity of the building. The aim of the refined heat supply is that the room temperature is equal to the target temperature, i.e. in a short time
Then there is KradiatorFradiator(Tm-Tin)＝KF(Tin-To)。
Introduction of kappa ═ KF/KradiatorFradiatorThe physical meaning is the ratio of the heat dissipation loss of a certain type of building unit to the heat release of a heat dissipation device unit, and represents the thermal performance of different buildings, then:
the temperature equalizing expression of the heating system in the period i is as follows:
the expression for the i +1 period is:
ideally, the indoor temperature is a constant value and does not change with the change of the outdoor temperature, so that
The conventional heating parameters are linear with the outdoor temperature, i.e.
Then there are:
order to
Then there are:
the upper type
Is a known quantity, defined as
Namely, it is
Then:
definition of
Then:
although the temperature equalization can reflect the heating effect of the community, for a large heating station, especially a heating station without regulation and control equipment at a heating power inlet, if a secondary network is unbalanced, the temperature equalization control is adopted, the unbalance of the heating power of a near-end building and a far-end building is increased, and the water supply temperature control is adopted, so that the consistency of the water supply temperature of each building can be ensured, the unbalance degree of the heating power is reduced, and the secondary water supply temperature regulation is usually adopted. The temperature equalization and the temperature of the water supply can relate to a return water temperature in the conversion process, under the accurate regulation and control, the corresponding supply/return water temperatures of different outdoor temperatures are different, the higher the outdoor temperature is, the lower the supply/return water temperature is, but the rising or reducing amplitudes of the supply/return water temperature and the return water temperature are different, but in the prediction, the return water temperature corresponding to the outdoor temperature is difficult to obtain, so that the method for determining the small supply/return water temperature difference change in the adjacent time period is selected, and the variable quantity is zeta, namely:
(2) determining the temperature difference variation of supply and return water at different outdoor temperatures
The relation of the historical daily water supply temperature, the return water temperature, the supply and return uniform temperature and the outdoor temperature of the heat exchange station can be expressed as follows:
Tg＝A·To+B
Th＝C·To+D
Tpj＝(A+C)/2·To+(B+D)/2
the supply and return water temperature difference variation zeta is as follows:
(3) determining adjustment period and time
The purpose of heat supply is that the indoor temperature reaches the standard, and the correct regulation and control period T is consistent with the change of the indoor temperature, so that the change of the indoor temperature of the buildings under the jurisdiction of the heat exchange station is analyzed in a targeted manner to determine T.
After determining the adjustment period T, the adjustment times of the heat exchange stations are 0:00, T:00,2T:00, if the delay is not taken into account. However, for accurate regulation, two delays are considered, the first being the delay τ of the outdoor temperature through the building envelope reaction to the indoor temperature1The second is that the pipe network has a certain distance from the hot users, namely the delay tau of the pipe network2. Determining the delay, τ, using cross-correlation analysis1Is determined by performing a cross-correlation analysis, τ, on the real-time outdoor and indoor temperatures2The determination of (1) is the cross correlation of the secondary supply/return water temperatures of the heat exchange stations.
After the two delays are determined, the regulation and control time of the heat exchange station is 0:00, (T + tau)2-τ1):00, (2T+τ2-τ1):00.....
(4) And determining a correction model, including a solar radiation correction model, an outdoor temperature uncertainty correction model and a thermal user behavior correction model. The solar radiation correction model is used for determining the influence of solar radiation on the temperature rise of the room temperature, namely determining the following relational expression:
in the formula
Room temperature rise, DEG C; sr is solar radiation and W/square meter.
Obtaining a value of psi according to the above formula
The corresponding Sr.
Correcting uncertainty of outdoor temperature: the outdoor temperature in the model is based on a predicted value, but a certain error exists between the predicted value and an actual value, and in order to ensure the accuracy of the model, the difference value between the actual outdoor temperature and the predicted outdoor temperature is calculated every 10 minutes
The corresponding correction model of the water supply temperature is as follows:
to ensure the constancy of the indoor temperature, the constancy of the indoor temperature is influenced by the heat user behaviors in the indoor during the regulation period, such as windowing, cooking and the like, so that the difference between the target indoor temperature and the actual indoor temperature is calculated every 10 minutes
The corresponding correction model of the water supply temperature is as follows:
the embodiments of the present invention have been described in detail, but the description is only for the whole embodiments of the present invention and should not be construed as limiting the scope of the present invention. All equivalent changes and modifications made within the scope of the present invention should be covered by the present patent.
Claims (5)
1. A heat exchange station feedback prediction regulation and control method based on indoor temperature is characterized by comprising the following steps:
step one, establishing a secondary water supply temperature prediction model;
determining temperature difference change values of supply water and return water at different outdoor temperatures;
determining the adjustment period and time of the prediction parameters;
and step four, determining a secondary water supply temperature correction model.
2. The method for feedback predictive regulation and control of a heat exchange station based on indoor temperature as claimed in claim 1,
the step one of establishing the secondary water supply temperature prediction model comprises the following steps of adopting a theoretical sensitivity analysis method to analyze a first-order linear model of the indoor temperature dynamic change of the hot user:
in the formula, KradiatorThe heat transfer coefficient is the comprehensive heat transfer coefficient of the radiator, kJ/(. degree.C.) of square meter; fradiatorThe total heat exchange area of the radiator and the square meter; k, the comprehensive heat transfer coefficient of the building, kJ/(. degree. C.) of square meter; f, building total heat dissipation area and square meter; t ispjThe average temperature of the heating system is measured,
Tgfor a secondary water supply temperature, ThThe secondary backwater temperature, DEG C; t isinIndoor temperature, deg.C; t isoutIs a chamberExternal temperature, deg.C;
definitions kappa. KF/KradiatorFradiatorAnd then:
κi+1＝α·κi+β·ΔTo
secondary water supply temperature in i +1 time period
The model is as follows:
in the formula (I), the compound is shown in the specification,
an indoor temperature value at i +1 time period, which is a set target temperature value, DEG C;
outdoor temperature value at i +1 time interval; kappaiTime i thermal inertia coefficient; α and β are coefficients to be solved, Δ ToIs composed of
℃；
The temperature value of secondary water supply is in the range of i time period, DEG C;
the temperature value of secondary backwater at the time period i is DEG C; zeta is the variable quantity of the temperature difference of the supply return water in the i +1 time period and the i time period.
3. The method for feedback predictive regulation and control of a heat exchange station based on indoor temperature as claimed in claim 1,
the step two of determining the supply and return water temperature difference variable quantity under different outdoor temperatures comprises the following steps: carrying out correlation analysis on historical daily water supply temperature, daily backwater temperature, daily average water supply and backwater temperature and outdoor temperature of the heat exchange station, and determining a correlation relation, wherein the expression is as follows:
Tg＝A·To+B
Th＝C·To+D
Tpj＝(A+C)/2·To+(B+D)/2
the supply and return water temperature difference variation zeta is as follows:
4. the method for feedback predictive regulation and control of a heat exchange station based on indoor temperature as claimed in claim 1,
the step three of determining the adjustment period and time of the prediction parameters comprises the following steps: and the regulation and control period T is consistent with the change of the indoor temperature. After determining the adjustment period T, if the delay is not considered, the adjustment time of the heat exchange station is 0:00, T:00,2T:00 … …; however, for accurate regulation, two delays are considered, the first being the delay τ of the outdoor temperature through the building envelope reaction to the indoor temperature1The second is that the pipe network has a certain distance from the hot users, namely the delay tau of the pipe network2(ii) a Determining the delay, τ, using cross-correlation analysis1Is determined by performing a cross-correlation analysis, τ, on the real-time outdoor and indoor temperatures2The determination is the cross correlation of the secondary supply/return water temperature of the heat exchange station; after the two delays are determined, the regulation and control time of the heat exchange station is 0:00, (T + tau)2-τ1):00,(2T+τ2-τ1):00.....。
5. The method for feedback predictive regulation and control of a heat exchange station based on indoor temperature as claimed in claim 1,
the step four of determining the secondary water supply temperature correction model comprises the following steps of: a solar radiation, outdoor temperature uncertainty and thermal user behavior modification model; the solar radiation correction model is used for determining the influence of solar radiation on the temperature rise of the room temperature, namely determining the following relational expression:
in the formula
Room temperature rise, DEG C; sr is solar radiation and W/square meter;
obtaining a value of
The corresponding Sr;
correcting uncertainty of outdoor temperature: the outdoor temperature in the model is based on a predicted value, but a certain error exists between the predicted value and an actual value, and in order to ensure the accuracy of the model, the difference value between the actual outdoor temperature and the predicted outdoor temperature is calculated every 10 minutes
The corresponding correction model of the water supply temperature is as follows:
to ensure the constancy of the indoor temperature, the indoor heat user behavior influences the constancy of the indoor temperature in the adjusting period, and the difference value between the target indoor temperature and the actual indoor temperature is calculated every 10 minutes
The corresponding correction model of the water supply temperature is as follows:
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Cited By (6)
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| CN112113269A (en) * | 2020-09-02 | 2020-12-22 | 天津大学 | Comprehensive indoor temperature calculation method based on building user classification |
| CN112984616A (en) * | 2021-03-05 | 2021-06-18 | 河北工大科雅能源科技股份有限公司 | Method for identifying regulation and control rule of heating power station of heating system |
| CN113065249A (en) * | 2021-03-29 | 2021-07-02 | 北京市公用事业科学研究所 | Method and device for predicting supply and return water temperature of heating system |
| CN113405148A (en) * | 2021-06-29 | 2021-09-17 | 华能国际电力股份有限公司上安电厂 | Heating medium temperature regulation and control method for heating power station |
| CN113757788A (en) * | 2021-09-15 | 2021-12-07 | 河北工大科雅能源科技股份有限公司 | Station-load linked two-network balance online dynamic intelligent regulation and control method and system |
| CN114857659A (en) * | 2022-06-02 | 2022-08-05 | 南京工业大学 | Heat exchange station secondary network water supply temperature control algorithm based on segmented RC model |
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| CN113405148A (en) * | 2021-06-29 | 2021-09-17 | 华能国际电力股份有限公司上安电厂 | Heating medium temperature regulation and control method for heating power station |
| CN113757788A (en) * | 2021-09-15 | 2021-12-07 | 河北工大科雅能源科技股份有限公司 | Station-load linked two-network balance online dynamic intelligent regulation and control method and system |
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| CN114857659A (en) * | 2022-06-02 | 2022-08-05 | 南京工业大学 | Heat exchange station secondary network water supply temperature control algorithm based on segmented RC model |
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