CN114060903A - Method for identifying energy-saving characteristics of thermal user behaviors of tail-end-adjustable heating system - Google Patents

Method for identifying energy-saving characteristics of thermal user behaviors of tail-end-adjustable heating system Download PDF

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CN114060903A
CN114060903A CN202111472240.8A CN202111472240A CN114060903A CN 114060903 A CN114060903 A CN 114060903A CN 202111472240 A CN202111472240 A CN 202111472240A CN 114060903 A CN114060903 A CN 114060903A
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孙春华
索晨雨
吴向东
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Hebei Gongda Green Energy Technology Corp ltd
Hebei University of Technology
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    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
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    • F24D19/1009—Arrangement or mounting of control or safety devices for water heating systems for central heating
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    • G06—COMPUTING; CALCULATING OR COUNTING
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Abstract

The invention relates to a method for identifying the behavior energy-saving characteristics of a heat user of a tail-end adjustable heating system, which is used for acquiring the heat data of a building or a current heating area, analyzing the sampling time of different heat users in a heating period to be researched by the tail-end adjustable heating system to set room temperature data, dividing the adjustment intention of each sampling time into three types of up adjustment, down adjustment and unchangeability, analyzing the accumulated adjustment times of two heat utilization modes of a working day and a holiday at the same time every day, and identifying the behavior energy-saving characteristics of the heat user of the adjustable heating system of which the tail-end user is provided with a temperature controller or a constant temperature valve of a radiator. The identification method can identify the behavior energy-saving rule of the user and obtain the expected target value of the regulated and controlled room temperature according to the identification result.

Description

Method for identifying energy-saving characteristics of thermal user behaviors of tail-end-adjustable heating system
The technical field is as follows:
the invention relates to the field of heating regulation, in particular to a method for identifying the energy-saving characteristic of the behavior of a heat user of an adjustable heating system with a temperature controller or a radiator thermostatic valve installed at the tail end of the adjustable heating system.
Background art:
on the basis of continuous innovation and development of an intelligent monitoring technology and an internet of things technology, in order to better meet the heat supply demand of a user and improve the energy utilization rate, an intelligent heat supply mode integrating heat supply, metering and temperature control is formed. In this mode, the user can autonomously set the target value of the indoor temperature according to the demand for heat. The intelligent on-off temperature control valve automatically opens and closes according to the difference between the target value and the actual room temperature to adjust the heat supply amount, and meets the individual heat demand of the user in different periods. The on-off temperature control valve is used as a switch execution unit for heat delivery, and is the basis for realizing behavior energy conservation by a user. In the heat supply metering and temperature control integrated system, on one hand, the difference of heat supply requirements of different users is required to be met, on the other hand, the rationality of a regulation and control strategy of a heat supply system is also required to be considered, and the water power fluctuation of a two-network caused by frequent opening and closing of a user temperature control valve is prevented, and the service life of the valve is shortened.
In order to realize the supply and demand matching balance under the condition of user behavior energy saving, the invention provides the method for identifying the energy saving characteristics of the thermal user behavior of the tail end adjustable heating system.
The invention content is as follows:
in order to overcome the defects of the prior art, the invention aims to provide a method for identifying the energy-saving characteristic of the thermal user behavior of an adjustable heating system with an end user installed with a temperature controller or a radiator thermostatic valve. The identification method can identify the behavior energy-saving rule of the user and obtain the expected target value of the regulated and controlled room temperature according to the identification result.
In order to achieve the purpose, the invention adopts the technical scheme that:
a method for identifying the behavior energy-saving characteristics of a heat user of a tail-end adjustable heat supply system is characterized by acquiring heat data of a building or a current heat supply area, analyzing the sampling time of different heat users in a to-be-researched heating period of the tail-end adjustable heat supply system to set room temperature data, dividing the adjustment intention of each sampling time into three types of up adjustment, down adjustment and unchangeability, and analyzing the accumulated adjustment times of two heat utilization modes of a working day and a holiday at the same time every day to obtain the behavior energy-saving characteristics of the heat user of the adjustable heat supply system with a temperature controller or a constant temperature valve of a radiator installed on the tail-end user.
And step S1, analyzing and comparing the set room temperature of the sampling time of all the hot users in the heating period to be researched, comparing the set room temperature of the current sampling time with the set room temperature of the previous sampling time, and dividing the adjustment will of each sampling time into three types of up-regulation, down-regulation and invariant. Judging the adjustment intention of the corresponding user according to the difference value of the set room temperature at two sampling moments ti,j+1-ti,jIf the value is more than 0, the value is judged to be up-regulated; t is ti,j+1-ti,jWhen the value is 0, the value is judged to be kept unchanged; t is ti,j+1-ti,jIf < 0, it is judged as "Down-regulated".
Wherein, ti,jThe set temperature of the ith user at the jth sampling moment; t is ti,j+1Setting the temperature for the (j + 1) th sampling moment of the ith user; the sampling time of the running data of each user is 2 hours, namely the room temperature data set by the end user is collected every 2 hours.
And step S2, accumulating the number of users with the same adjustment intention at the same sampling time in working days and holidays respectively, analyzing the accumulated adjustment times of the two heat utilization modes at the same sampling time every day to obtain the adjustment trend of the users every day in the heating period to be researched, identifying the behavior energy-saving characteristics of the users of the heating system, namely identifying a specific regulation and control heating time period, and then regulating and controlling the corresponding heating temperature according to the regulation and control heating time period to realize the matching balance of the supply and demand under the condition of the user behavior energy saving.
The cumulative number of times of 'up-regulation' of all users in the whole heating period to be researched at the jth sampling moment is shown in formula (1), and the cumulative number of times of 'down-regulation' is shown in formula (2).
Figure BDA0003392945780000021
Figure BDA0003392945780000022
MsjThe times of all users in the jth sampling moment are adjusted up; mxjThe down-regulation times of all users in the jth sampling moment are obtained;
Figure BDA0003392945780000023
the number of times of the ith user is adjusted up in the jth sampling moment in the whole heating season to be researched;
Figure BDA0003392945780000024
the number of times of down regulation of the ith user in the jth sampling moment in the whole heating season to be researched; n is the number of users having behavior energy saving action at the jth sampling moment.
Step S3, obtaining the expected target value of the room temperature of the user under the behavior energy-saving law (identifying the specific regulation and control heating time interval) according to the identified behavior energy-saving law, wherein the expected target temperature of the room temperature of all users is shown in the formula (3),
Figure BDA0003392945780000025
wherein, tyIs a desired target temperature; t is ti,jThe actual set temperature of the ith user at the jth sampling moment; fiThe heating area of the ith user; f is the total heating area; n is the number of users with behavior energy-saving action at the jth sampling moment; p is the total sampling time number in the regulation and control heating period, p<m and y represent a regulation and control heating period, the sampling period of the operation data of each user is 24h, and 2h samples once, so that the total sampling time m in the sampling period is 12.
Because each heating power company has an expected regulation target value when regulating the heating system, the actual set temperature of the user also has an upper limit value tis,jWhen the actual set room temperature of the user is greater than the upper limit value, the upper limit value is taken as the actual set temperature of the user and is brought into the formula (3) to calculate the expected target value of the room temperature under the behavior energy-saving law, and when the expected target temperature t calculated by the formula (3) is higher than the upper limit value, the expected target temperature t is calculatedyWhen the number of the users is larger than the upper limit value, the upper limit value is used as the room of all the usersA temperature expectation target value.
And after the expected target values of the room temperature of all the users in different heating regulation and control periods are obtained, the heating demand of the users is regulated and controlled according to the expected target values.
The heating period to be researched can be historical heating season data of a current building or a current heating area, and can also be room temperature data set by user adjustment during a previous trial run period of the current heating season.
Compared with the prior art, the invention has the beneficial effects that:
the method comprises the steps of setting room temperature data by analyzing sampling moments of different heat users of a heating system, dividing the adjustment willingness of each sampling moment into three types of 'up adjustment', 'down adjustment' and 'invariable', calculating the accumulated adjustment times of two heat utilization modes at the same moment every day, identifying the behavior energy-saving characteristics and the room temperature expected target value of the heat users of the heating system, and finally obtaining the identification method of the behavior energy-saving characteristics of the heat users of the adjustable heating system with the temperature controller or the radiator thermostatic valve installed at the end user. By adopting the method, the regulation and control of the heating system have timeliness and guidance, and the supply and demand balance under the condition of energy conservation of user behaviors is realized.
This application can set for the condition according to actual user and discern the trip and be energy-conserving characteristic, considers user's heat supply demand, discerns the characteristic according to actual user room temperature data and carries out the heat supply regulation and control, utilizes the regulation and control heat supply period of discerning to adjust the heat supply, and the regulation and control strategy of the heating power station of formulation that can be corresponding can show and save the valve and open the number of times, slows down the hydraulic fluctuation, strengthens the life-span of valve, and it is more energy-conserving under the condition of demand to satisfy.
Drawings
Fig. 1 is a diagram of a heat supply metering and temperature control integrated system with a temperature controller (1 is a household calorimeter, 2 is an intelligent on-off temperature control valve, 3 is a room temperature controller, 4 is a data acquisition unit, 5 is a radiator, 6 is a data transmission line, and 7 is an upper computer platform).
Fig. 2 is a diagram of a heating system with a radiator thermostatic valve (8 is a radiator thermostatic valve, 9 is a room temperature collector, 4 is a data collector, 5 is a radiator, 7 is an upper computer platform, and 6 is a data transmission line).
Fig. 3 is a diagram for analyzing deviation of cumulative adjustment times in two heat usage modes, and fig. 3 (a) is a diagram for analyzing deviation of cumulative adjustment times in a heat usage mode of a working day; fig. 3 (b) is a diagram showing an analysis of the deviation of the cumulative adjustment times in the thermal mode for holidays.
Fig. 4 shows the expected target value of room temperature in two heat modes.
Detailed Description
The present invention is further explained with reference to the following examples and drawings, but the scope of the present invention is not limited thereto.
A method for identifying the energy-saving characteristics of the behavior of a heat user of a heating system with an adjustable end user-mounted temperature controller (see figure 1) based on an intelligent heating system comprises the following specific steps,
and step S1, analyzing and comparing the set room temperature data of all the hot users in the heating season at all the sampling moments in the sampling period, and comparing the set room temperature at the current sampling moment with the set room temperature at the previous sampling moment, and dividing the adjustment will of each sampling moment into three types of up-regulation, down-regulation and unchangeable.
In step S11, the specific classification method of the adjustment will includes: judging the adjustment intention according to the difference value of the set room temperature at two adjacent sampling moments ti,j+1-ti,j>0, judging as up-regulation; t is ti,j+1-ti,jWhen the value is 0, the value is judged to be kept unchanged; t is ti,j+1-ti,j<0, judged as "Down-regulated".
Wherein, ti,jSetting the temperature for the jth sampling moment of the ith user; t is ti,j+1Setting the temperature for the (j + 1) th sampling moment of the ith user; n is the number of users having behavior energy-saving action at the jth sampling moment, and the running data of each user is sampled once every 2 hours, namely, the interval between adjacent sampling moments is 2 h.
And step S2, accumulating the number of users with the same adjustment intention at the same sampling time in the working day and holiday thermal modes, analyzing the accumulated adjustment times of the two thermal modes (working day and holiday) at the same sampling time every day, obtaining the adjustment trend in the current heating season, and identifying the behavior energy-saving characteristics of the heating system users.
The cumulative number of times of "up-regulation" of all users in the whole heating period at the jth sampling moment is shown in formula (1), and the cumulative number of times of "down-regulation" is shown in formula (2).
Figure BDA0003392945780000031
Figure BDA0003392945780000032
MsjThe times of all users in the jth sampling moment are adjusted up; mxjThe down-regulation times of all users in the jth sampling moment are obtained;
Figure BDA0003392945780000041
the number of times of up-regulation of the ith user in the jth sampling moment in the whole heating season is obtained;
Figure BDA0003392945780000042
the number of times of down regulation of the ith user in the jth sampling moment in the whole heating season is obtained; n is the number of all users.
Because only the rule that the user changes the target room temperature is researched, the times of invariance are not counted, and the accumulated times of up-regulation and down-regulation of the two heat utilization modes are analyzed and distinguished to obtain the behavior energy-saving characteristics of the user of the heat supply system.
Step S3, obtaining the expected target value of the room temperature of the user under the law according to the identified behavior energy-saving law, wherein the expected target value of the room temperature of each user is shown in formula (3),
Figure BDA0003392945780000043
wherein, tyIs a desired target temperature; t is ti,jThe actual set temperature of the ith user at the jth sampling moment; fiThe heating area of the ith user; f is the total heating area; n is the number of users with behavior energy-saving action at the jth sampling moment; p is the total sampling time number in the regulation and control heating period, p<m, y represent regulated heating periods.
And regulating and controlling each user according to a behavior energy-saving rule and a room temperature expected target value obtained by room temperature data analysis.
The specific steps of the identification of the energy-saving characteristics of the thermal user behavior of the heating system with the adjustable thermostat valve of the end user radiator (see fig. 2) are consistent with the identification method of the energy-saving characteristics of the thermal user behavior of the heating system with the adjustable thermostat installed at the end user.
Example 1
The embodiment is a method for identifying the energy-saving characteristics of the thermal user behavior of a tail-end adjustable heating system, which comprises the following steps:
1. a teacher apartment heat supply system of a college in Tianjin is taken as a research object, and the system comprises 48 residential buildings and 1216 households. The whole heating system is used for transmitting and distributing heat to each user through a heating station through a secondary pipe network, and heat utilization requirements are met. The heating system is a typical heating metering and temperature control integrated system (see fig. 1), the system is composed of a household calorimeter 1, an intelligent on-off temperature control valve 2, a room temperature controller 3, a data acquisition unit 4, a radiator 5 and an upper computer platform 7, and the system is shown in fig. 1. The household heat meter 1 can measure the heating heat consumption of a user, collect the heat and flow of the user and realize the heating metering charging management; the intelligent on-off temperature control valve 2 is installed at a user heating power inlet, the intelligent on-off temperature control valve 2 can collect the backwater temperature, pressure and the like of a user, and the opening of the valve can be opened or closed to meet the target room temperature requirement of the user; the indoor room temperature controller 3 is arranged indoors and can collect indoor temperature and a room temperature target value set by a user; when the indoor temperature is 0.5 ℃ higher than the set temperature of the user, the intelligent on-off temperature control valve 2 is automatically closed; when the indoor temperature is lower than the set temperature of a user by 0.5 ℃, the intelligent on-off temperature control valve 2 is automatically opened to realize heat supply according to the requirement; the data acquisition unit 4 acquires information such as flow, heat, supply and return water temperature, indoor temperature, user set temperature and the like of a household calorimeter, and adopts GPRS remote transmission to the upper computer platform 7, meanwhile, the heating station part mainly controls water supply temperature and flow to realize automatic control by adjusting the opening of a valve or the frequency of a water pump, and the operating parameters such as flow, heat, temperature, pressure and the like of the heating station are remotely transmitted to the upper computer platform 7.
2. The heat user data in the heating season of 2019 and 2020 is counted, the identification and analysis are performed by using the identification method, the accumulated adjustment times of the acting energy-saving users in all working days and holidays of the whole heating season are obtained, the deviation of the accumulated times of the up-regulation and the down-regulation is used as an analysis object, and the result is shown in fig. 3.
As can be seen from fig. 3, the deviation and the adjustment tendency of the cumulative adjustment times at the same time are different between the working day and the holiday. Calculating the deviation of the accumulated adjustment times of the working day and the holiday at the same moment to obtain a deviation curve of up-regulation and down-regulation of the working day and the holiday, wherein the sampling moment is taken as an abscissa in the deviation curve, the deviation value of the up-regulation accumulated times is taken as an ordinate, and the deviation is regarded as a turning point at the point where the deviation is 0 and the deviation value is subjected to positive-negative conversion; after the turning points are determined, the interval formed by adjacent turning points is the specific heat supply regulation and control time interval. And the up-down adjustment accumulated time deviation value is the difference between the up-adjustment times of all users and the down-adjustment times of all users at the same sampling moment.
It can be seen from (a) that the deviation curves of the up and down adjustments on the working day have 4 typical turning points (the point where the deviation is 0 and the deviation value is changed positively and negatively is regarded as the turning point), which are respectively 5 points, 8 points, 17 points and 22 points, and the cumulative times of the up and down adjustments between the 5 points and the 8 points are the same and the trends are increased; the cumulative times of up-regulation at 8-17 points obviously begin to decrease, and the cumulative times of down-regulation obviously increase; point 17-22 is exactly the reverse of the previous epoch.
It can be known from (b) that the deviation curves of the festival holiday up-regulation and the holiday down-regulation have 4 typical turning points which are respectively 8 points, 11 points, 16 points and 22 points, the cumulative times of the up-regulation and the down-regulation between 22 points and 8 points are few, the regulation is few, and the rules are basically the same, so the curve is classified into a regulation time period; the cumulative number of the up-regulation at 8-11 points is obviously higher than that of the down-regulation; the number of times of up-regulation accumulation at 11-16 points obviously begins to decrease, and the number of times of down-regulation accumulation obviously increases; the 16-22 points are exactly opposite to the previous period.
The working day time period is divided into four sections by combining the daily work and rest of the user on working days and holidays and considering the energy-saving condition of the system: 22-the next day, 5-8, 8-17 and 17-22. The holiday period is divided into four segments: 8 points, 8 to 11 points, 11 to 16 points and 16 to 22 points on 22 to the next day. The behavior energy-saving characteristic of the users of the heating system under different heat utilization modes is used for guiding the regulation and control of the heating system. The behavior energy-saving characteristic refers to the division of different heating time periods which need to be regulated and controlled by a user.
Determining the expected target value of the room temperature according to the energy-saving characteristics of the user behaviors obtained by identification, and calculating the expected target value t of the room temperature in each heating period under different heat utilization modes through a formula (3)yIn the formula (3), the ratio of the heating area of the ith user to the total heating area is not changed, and only the actual set temperature at each sampling time is different, and in this embodiment, y is 1 to 4, and the result is shown in fig. 4. The working daily hot mode is as follows: the expected target temperature of the inner chamber temperature is 18 ℃ in a period of 5 points on 22 to the next day; the expected target temperature of the chamber temperature is 21 ℃ at 4-8 points; the expected target temperature of the inner chamber temperature is 18.5 ℃ within 8-17 hours; the expected target value temperature of the inner chamber temperature is 21 ℃ within 17-22 hours. The hot mode for holidays comprises the following steps: the expected target temperature of the inner chamber temperature is 18 ℃ in a period of 6 points on 22-the next day; the expected target temperature of the chamber temperature is 21 ℃ within 6-11 time periods; the expected target temperature of the chamber temperature is 19.5 ℃ in 11-16 time periods; the expected target value temperature of the chamber temperature is 21 ℃ within 16-22 points.
Calculated tyThe upper computer platform 7 sends the regulation and control signal to the intelligent on-off temperature control valve 2 after processing, the intelligent on-off temperature control valve 2 gives an instruction for opening or closing the valve, and the indoor temperature is regulated to the expected target value t of the room temperaturey。
Nothing in this specification is said to apply to the prior art.

Claims (6)

1. A method for identifying the behavior energy-saving characteristics of a heat user of a tail-end adjustable heating system is characterized by acquiring heat data of a building or a current heating area, analyzing the sampling time of different heat users in a heating period to be researched by the tail-end adjustable heating system to set room temperature data, dividing the adjustment intention of each sampling time into three types of up adjustment, down adjustment and unchangeability, analyzing the accumulated adjustment times of two heat utilization modes of a working day and a holiday at the same time every day, and identifying the behavior energy-saving characteristics of the heat user of the adjustable heating system of which the tail-end user is provided with a temperature controller or a constant temperature valve of the heat radiator.
2. An identification method according to claim 1, wherein the identification method comprises the following steps:
step S1, analyzing and comparing the sampling time of all hot users in the heating period to be researched to set the room temperature, comparing the set room temperature at the current sampling time with the set room temperature at the previous sampling time, and judging the adjustment intention, t, of the corresponding user according to the difference value of the set room temperatures at the two sampling timesi,j+1-ti,jIf the value is more than 0, the value is judged to be up-regulated; t is ti,j+1-ti,jWhen the value is 0, the value is judged to be kept unchanged; t is ti,j+1-ti,jIf the value is less than 0, the value is judged to be down-regulated;
wherein, ti,jThe set temperature of the ith user at the jth sampling moment; t is ti,j+1Setting the temperature for the (j + 1) th sampling moment of the ith user;
step S2, accumulating the number of users with the same adjustment intention at the same sampling time in working days and holidays respectively, analyzing the accumulated adjustment times of the two heat utilization modes at the same sampling time every day to obtain the adjustment trend of the users every day in the heating period to be researched, identifying the behavior energy-saving characteristics of the users of the heating system, namely identifying a specific regulation and control heating time period, and then regulating and controlling the corresponding heating temperature according to the regulation and control heating time period to realize the matching balance of supply and demand under the condition of user behavior energy saving;
the cumulative times of 'up regulation' of all users in the whole heating period to be researched at the jth sampling moment are shown in formula (1), and the cumulative times of 'down regulation' are shown in formula (2);
Figure FDA0003392945770000011
Figure FDA0003392945770000012
Msjthe times of all users in the jth sampling moment are adjusted up; mxjThe down-regulation times of all users in the jth sampling moment are obtained;
Figure FDA0003392945770000013
the number of times of the ith user is adjusted up in the jth sampling moment in the whole heating season to be researched;
Figure FDA0003392945770000014
the number of times of down regulation of the ith user in the jth sampling moment in the whole heating season to be researched; n is the number of users having behavior energy saving action at the jth sampling moment.
3. The identification method according to claim 2, wherein the expected target temperature of room temperature for different specific regulated heating periods identified by all users again according to formula (3),
Figure FDA0003392945770000015
wherein, tyIs a desired target temperature; t is ti,jThe actual set temperature of the ith user at the jth sampling moment; fiThe heating area of the ith user; f is the total heating area; n is the number of users with behavior energy-saving action at the jth sampling moment; p is the total sampling time number in the regulation and control heating period, p<m, y represents the regulation and control heating time period, m is the sampling periodTotal number of sampling instants within a period;
because each heating power company has an expected regulation target value when regulating the heating system, the actual set temperature of the user also has an upper limit value
Figure FDA0003392945770000016
When the actual set room temperature of the user is larger than the upper limit value, the upper limit value is taken as the actual set temperature of the user and is brought into the formula (3) to calculate the expected target value of the room temperature under the behavior energy-saving law, and when the expected target temperature t calculated by the formula (3) is larger than the upper limit value, the expected target temperature t is taken as the expected target temperature tyWhen the temperature is greater than the upper limit value, the upper limit value is used as the expected target value of the room temperature of all users;
and after the expected target values of the room temperature of all the users in different heating regulation and control periods are obtained, the heating demand of the users is regulated and controlled according to the expected target values.
4. The identification method according to claim 3, wherein the sampling period of the operation data of each user is 24h, the sampling time of the operation data of each user is 2 hours, i.e. 2h samples once, and m is 12.
5. The identification method according to claim 1, wherein the heating period to be studied is historical heating season data of a current building or a current heating area, or set room temperature data for user adjustment during a section of trial operation before the current heating season, and in actual use, data collection of the set room temperature is performed in real time in the whole heating season, so that dynamic adjustment is performed, the existence of emergency can be timely responded, and further real-time adjustment of supply and demand matching balance under the condition of energy conservation of user behaviors is realized.
6. The identification method according to claim 1, wherein the hot user behavior energy saving feature is obtained by: calculating the deviation of the accumulated adjustment times of the working day and the holiday at the same moment to obtain a deviation curve of up-regulation and down-regulation of the working day and the holiday, wherein the sampling moment is taken as an abscissa in the deviation curve, the deviation value of the up-regulation accumulated times is taken as an ordinate, and the deviation is regarded as a turning point at the point where the deviation is 0 and the deviation value is subjected to positive-negative conversion; after the turning points are determined, the interval formed by adjacent turning points is the specific heat supply regulation and control time interval.
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