CN115127138A - Heat supply method of heat supply system combining air source and gas source - Google Patents
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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
- F24D11/00—Central heating systems using heat accumulated in storage masses
- F24D11/02—Central heating systems using heat accumulated in storage masses using heat pumps
- F24D11/0214—Central heating systems using heat accumulated in storage masses using heat pumps water heating system
- F24D11/0228—Central heating systems using heat accumulated in storage masses using heat pumps water heating system combined with conventional heater
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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
- F24D19/00—Details
- F24D19/10—Arrangement or mounting of control or safety devices
- F24D19/1006—Arrangement or mounting of control or safety devices for water heating systems
- F24D19/1009—Arrangement or mounting of control or safety devices for water heating systems for central heating
- F24D19/1039—Arrangement or mounting of control or safety devices for water heating systems for central heating the system uses a heat pump
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- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
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Abstract
The invention belongs to the technical field of heat supply application, and particularly relates to a heat supply method of a heat supply system combining an air source and a gas source. The invention provides a heat supply method of a heat supply system combining an air source and a gas source, which is characterized in that under the condition of meeting heat supply indexes, linear regression learning is carried out by combining the hourly heat consumption of a building, the hourly heat generation amount of a system, a heat supply formula in an ideal state, a system cost coefficient, a machine total energy consumption ratio coefficient constraint interval, an air source number constraint interval and a gas source constraint interval, and the most economical heat supply mode conforming to the current meteorological conditions is constructed, so that the energy waste and the heat supply expenditure are reduced, the heat supply temperature tends to be stable, and the optimal heat supply environment is provided for residents of non-energy-saving old buildings.
Description
Technical Field
The invention belongs to the technical field of heat supply application, and particularly relates to a heat supply method of a heat supply system combining an air source and a gas source.
Background
With the rapid development of economy and the improvement of the living standard of people, the demand of people for heating hot water is continuously increased. Especially, some residents of non-energy-saving old buildings are characterized by no external wall heat insulation, single-layer glass windows and no unit door, thereby resulting in high heat consumption. The traditional heating mode of the building mainly adopts a coal-fired boiler for heating, a main pipeline is laid overhead, a pipeline in the building adopts a single-pipe series structure, and the tail end of the pipeline is a cast iron radiator. Although the heat supply mode can meet the heat supply requirement of the building, the functions of the heat supply mode have the problems of large energy consumption and large temperature difference fluctuation.
Residents of such buildings are mostly retired old people who like hot and afraid of cold, the demand for indoor temperature is high, the water temperature needs to be kept stable relatively, and the influence of fluctuation of ambient temperature is reduced. Therefore, in order to reduce energy consumption, at present, the heat supply reconstruction of old communities mainly adopts the coupling technology of multiple clean energy sources to realize complementation among multiple energy sources, and particularly, a heat supply system combining an air source and a gas source is most widely applied. Because the air source and the gas source are used for complementation, how to control the air source and the gas source to realize the optimal solution of energy consumption is a method for the key research of the heating system combining the air source and the gas source at present.
Disclosure of Invention
Aiming at the optimal control of the energy consumption of the heating system combining the air source and the gas source, the invention provides the heating method of the heating system combining the air source and the gas source, which has the advantages of reasonable design, simple method and convenient operation and can effectively realize the optimal control of the energy consumption of the heating system combining the air source and the gas source.
In order to achieve the above object, the present invention adopts a technical solution that the present invention provides a heating method of a heating system combining an air source and a gas source, comprising the steps of:
a. firstly, calculating the hourly heat consumption of the building according to the design heat index of the building, then determining the flow of a user end according to the heat supply index of a user, calibrating the indoor temperature and the opening degree of a valve of the user by adopting a six-point calibration method, and determining the heat supply effect by utilizing the return water temperature and the room temperature feedback, thereby determining the heat production quantity of the system;
b. calculating the heat generation quantity of each air source and each gas source and the heat generation quantity of the system per hour according to the meteorological conditions;
c. determining a heat supply formula under an ideal state according to the heat consumed by each air source and the tail end of each gas source and the heat lost by intermediate exchange;
d. calculating a system cost coefficient and a machine total energy consumption ratio coefficient according to the heat generation amount and the energy efficiency ratio of each air source and each gas source, a reference energy efficiency ratio, a local electric energy unit price and a gas unit price, and determining a machine total energy consumption ratio coefficient constraint interval according to the energy efficiency ratio of the air source and the gas source;
e. and performing linear regression learning according to the hourly heat consumption of the building, the hourly heat production of the system, a heat supply formula in an ideal state, a system cost coefficient, a machine total energy consumption ratio coefficient constraint interval, an air source number constraint interval and a gas source constraint interval to obtain the optimal starting number of the air sources and the gas sources.
Preferably, in step a, the calculation formula of the heat consumption of the building per hour is as follows:
wherein S is i Is the area of room i, W i K is the number of building rooms, which is the building thermal index.
Preferably, in the step b, the heat generation quantity of the system per hour is as follows:
Q z ＝b(mQ 0 +jq 0 )
wherein b is the system heating capacity equivalentCoefficient, Q 0 Is the heat generation quantity of the air source, m is the number of the air sources in the system, q 0 J is the heat generation quantity of the gas source, and j is the number of the gas sources in the system.
Preferably, in the step c, the heat supply formula in an ideal state is as follows:
wherein Q a For generating heat per machine in the system, Q b For the heat consumed at the end of each machine in the system, Q c The lost heat is exchanged among the machines in the system.
Preferably, in the step d, the calculation formula of the system cost coefficient is as follows:
wherein m is the number of air sources to be started, j is the number of gas sources to be started, and Q 0 For real-time heat generation of air source, q 0 For real-time heat production, COP, of gas sources 0 Real-time energy efficiency ratio, cop, for air source 0 Is the real-time energy efficiency ratio of the gas source, F is the local electric energy unit price, F is the local gas unit price, COP Electric power For air-source reference energy efficiency ratio, cop Burning device For gas source reference energy efficiency ratio, Q Electric power For reference heating of the air source, q Burning device Generates heat for the reference of a gas source.
Preferably, in the step d, the calculation formula of the total energy consumption ratio coefficient of the machine is as follows:
wherein m is the number of air sources to be started, j is the number of gas sources to be started, and Q 0 For real-time heat generation of air source, q 0 For real-time heat production, COP, of gas sources 0 As real time of air sourceEnergy efficiency ratio, cop 0 Is the real-time energy efficiency ratio of the gas source, F is the local electric energy unit price, F is the local gas unit price, COP Electric power For air-source reference energy efficiency ratio, cop Burning device For gas source reference energy efficiency ratio, Q Electric power For reference heating of the air source, q Burning device Generates heat for the reference of a gas source.
Preferably, in the step d, the total energy consumption ratio coefficient constraint interval of the machine is as follows:
wherein Q is Electric power The reference heat generation amount of the air source.
Compared with the prior art, the invention has the advantages and positive effects that,
1. the invention provides a heat supply method of a heat supply system combining an air source and a gas source, which is characterized in that under the condition of meeting heat supply indexes, linear regression learning is carried out by combining the hourly heat consumption of a building, the hourly heat generation amount of a system, a heat supply formula in an ideal state, a system cost coefficient, a machine total energy consumption ratio coefficient constraint interval, an air source number constraint interval and a gas source constraint interval, and the most economical heat supply mode conforming to the current meteorological conditions is constructed, so that the energy waste and the heat supply expenditure are reduced, the heat supply temperature tends to be stable, and the optimal heat supply environment is provided for residents of non-energy-saving old buildings.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive labor.
Fig. 1 is a flow chart of a heating method of a heating system combining an air source and a gas source provided in embodiment 1.
Detailed Description
In order that the above objects, features and advantages of the present invention can be more clearly understood, the present invention will be further described with reference to the accompanying drawings and examples. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those specifically described herein, and thus the present invention is not limited to the specific embodiments of the present disclosure.
Embodiment 1, as shown in fig. 1, this embodiment provides a heating method of a heating system combining an air source and a gas source
As is well known, the working principle of an air source heat pump is very similar to that of an air conditioner, a small amount of electric energy is used for driving a compressor to operate, a high-pressure liquid working medium passes through an expansion valve and then is evaporated into a gaseous state in an evaporator, and a large amount of heat energy is absorbed from air; gaseous working medium is compressed into high-temperature and high-pressure liquid by the compressor, and then enters the condenser to release heat so as to heat water. When the temperature is lower than zero, the heating capacity is rapidly reduced, and the economical efficiency is worse.
Therefore, different outdoor environments cause different heating capacities of the air source heat pump, and therefore when a heating system (hereinafter referred to as a system) combining an air source and a gas source needs to be controlled, it needs to be determined that the heating capacity of the system can reach a heating index.
For this reason, in the present embodiment, first, the hourly heat consumption of the building is calculated from the building design heat index, and the calculation formula of the hourly heat consumption of the building is set in the present embodiment as:
wherein S is i Is the area of room i, W i K is the number of building rooms, which is the building thermal index.
Then, the indoor temperature and the valve opening of a user are calibrated by adopting a six-point calibration method, the return water temperature and the room temperature are fed back to determine the heat supply effect, and specifically, the indoor temperature T is required to meet the condition that T is equal to T α +T β 。T α Relative ambient temperature, T β Is the offset temperature. Deviation temperature T β The determination should be for actual measurements:
wherein, T α The temperature controller detects the actual indoor temperature. Deviation temperature T β The measurement mode is as follows: and starting heat supply under the condition that no person exists in a room, wherein the difference value between the actual temperature and the temperature of the temperature collector when the temperature controller reaches the set temperature is the temperature deviation, measuring the temperature of 17-22 ℃, calibrating at six points, and compensating corresponding deviation coefficients according to different set temperatures. Then there are:
1419857a 1 +83521a 2 +4913a 3 +289a 4 +17a 5 +a 6 ＝T β1
1889568a 1 +1049761a 2 +5832a 3 +324a 4 +18a 5 +a 6 ＝T β2
2476099a 1 +130321a 2 +6859a 3 +361a 4 +19a 5 +a 6 ＝T β3
3200000a 1 +160000a 2 +8000a 3 +400a 4 +20a 5 +a 6 ＝T β4
4084101a 1 +194481a 2 +9261a 3 +441a 4 +21a 5 +a 6 ＝T β5
5153632a 1 +130321a 2 +10648a 3 +484a 4 +22a 5 +a 6 ＝T β6
according to the measured actual value, the corresponding determinant is solved to obtain a 1 ，a 2 ，a 3 ，a 4 ，a 5 ，a 6 。
And a pressure-independent valve is adopted, so that water conservancy calculation is not considered, and the flow and the opening degree are in a linear relation. And calibrating the flow at 6 points of the valve, namely:
K＝δ 1 F 5 +δ 2 F 4 +δ 3 F 3 +δ 4 F 2 +δ 5 F+δ 6
where K is the valve opening and F is the corresponding flow. Calibrating six points correspondingly, solving corresponding matrix to calculate corresponding delta 1 ，δ 2 ，δ 3 ，δ 4 ，δ 5 ，δ 6 。
Under the condition that the water supply temperature is certain, the corresponding flow is adjusted to ensure that the return water temperature is consistent, the return water temperature and the room temperature are fed back to determine the heat supply effect, if the heat produced by the system is greater than the heat consumption of a user, the economic mode can be entered, and if the heat produced by the system is less than the heat consumption of the user, the heat supply of the system is increased until the machine in the system is fully opened.
If the measured heat production quantity of the system is larger than the heat consumption quantity of the user, the measured heat production quantity of the system represents that the machine in the system can enter an economic mode at the moment, and the heat production quantity of each air source and each gas source and the heat production quantity of the system per hour are calculated according to the meteorological conditions at the moment.
The hourly heat generation amount of the system is set as follows:
Q z ＝b(mQ 0 +jq 0 )
wherein b is the equivalent coefficient of the system heating capacity, Q 0 Is the heat generation quantity of the air source, m is the number of the air sources in the system, q 0 J is the heat generation quantity of the gas source, and j is the number of the gas sources in the system. It should be noted that the heat generation amount of the air source is different under different outdoor air, and for this reason, Q is 0 Are variables.
The equivalent coefficient of the heating capacity is the ratio of the heating capacity measured under each working condition to a reference value on the basis of the heating capacities of the two heat pumps at-5 ℃ and the outlet water temperature of 45 ℃. So that the heating capacity of various devices in various states can be reflected.
And if the equivalent coefficient of the heating capacity of the air source heat pump is a, the equivalent coefficient of the heating capacity of the air source heat pump at each water temperature and air temperature is as follows:
and if the equivalent coefficient of the heating capacity of the gas source heat pump is d, the equivalent coefficient of the heating capacity of the gas source heat pump at each water temperature and air temperature is as follows:
the equivalent coefficient b of the machine heating capacity of the mixed configuration is satisfied, at-5 ℃, the water outlet temperature is 45 ℃, the number of air source heat pumps is m, the number of gas source heat pumps is j, and the reference heating capacity is Q 0 The gas source heat pump is q 0 . The air source heat pump of the heating capacity is Q, and the gas source heat pump is Q, then there are:
and then the equivalent coefficient of the heating capacity of the system at each water temperature under the air temperature is as follows:
suppose that each heat generated by the machine is Q a The amount of heat consumed by each end is Q b The heat lost by intermediate exchange is Q c Then, the ideal state of heat supply is:
let m be the number of starting air sources, j be the number of starting gas sources, Q 0 For real-time heat generation of air source, q 0 For real-time heat generation of gas sources, COP 0 Cop being the real-time energy efficiency ratio of the air source 0 For real-time energy efficiency ratio of gas source, F is local electric energy unit price, F is local gas unit price, COP Electric power For air-source reference energy efficiency ratio, cop Burning device For gas source reference energy efficiency ratio, Q Electric power For reference heating of the air source, q Burning device Generates heat for the reference of a gas source.
The system cost coefficient is:
the calculation formula of the total energy consumption ratio coefficient of the machine is as follows:
when the energy efficiency of the air source is higher than that of the gas source, the system is mixed and started to make sense. If the energy efficiency ratio after mixing is too low, the gas source is not started as single one. As known from the COP of the air source equipment machine, the COP of the air source heat pump is not higher than 4.1 and not lower than 1.3, and the COP Electric power The energy efficiency ratio is a reference energy efficiency ratio of an air source. Theoretically, the system equivalent coefficient should conform to:
the constraint interval of the total energy consumption ratio coefficient of the machine is as follows:
and the number of the air source machines is in accordance with:
m≥0
the number of the gas source machines is in accordance with:
j≥0
and finally, performing linear regression learning according to the hourly heat consumption of the building, the hourly heat production of the system, a heat supply formula in an ideal state, a system cost coefficient, a machine total energy consumption ratio coefficient constraint interval, an air source number constraint interval and a gas source constraint interval to obtain the optimal number of the air sources and the gas sources to be started.
The above description is only a preferred embodiment of the present invention, and not intended to limit the present invention in other forms, and any person skilled in the art may apply the above modifications or changes to the equivalent embodiments with equivalent changes, without departing from the technical spirit of the present invention, and any simple modification, equivalent change and change made to the above embodiments according to the technical spirit of the present invention still belong to the protection scope of the technical spirit of the present invention.
Claims (7)
1. A heating method of a heating system combining an air source and a gas source is characterized by comprising the following steps:
a. firstly, calculating the hourly heat consumption of the building according to the design heat index of the building, then determining the flow of a user end according to the heat supply index of a user, calibrating the indoor temperature and the opening degree of a valve of the user by adopting a six-point calibration method, and determining the heat supply effect by utilizing the return water temperature and the room temperature feedback, thereby determining the heat production quantity of the system;
b. calculating the heat generation quantity of each air source and each gas source and the heat generation quantity of the system per hour according to the meteorological conditions;
c. determining a heat supply formula under an ideal state according to the heat consumed by each air source and the tail end of each gas source and the heat lost by intermediate exchange;
d. calculating a system cost coefficient and a machine total energy consumption ratio coefficient according to the heat generation amount, the energy efficiency ratio, the reference energy efficiency ratio, the local electric energy unit price and the gas unit price of each air source and each gas source, and determining a machine total energy consumption ratio coefficient constraint interval according to the energy efficiency ratio of the air sources and the gas sources;
e. and performing linear regression learning according to the hourly heat consumption of the building, the hourly heat generation quantity of the system, a heat supply formula in an ideal state, a system cost coefficient, a machine total energy consumption ratio coefficient constraint interval, an air source number constraint interval and a gas source constraint interval to obtain the optimal number of the air sources and the gas sources to be started.
2. A heating method of a heating system combining an air source and a gas source according to claim 1, wherein in the step a, the calculation formula of the heat consumption of the building per hour is as follows:
wherein S is i Is the area of room i, W i K is the number of building rooms, which is the building thermal index.
3. A heating method of a heating system combining an air source and a gas source according to claim 2, wherein in the step b, the amount of heat generated by the system per hour is as follows:
Q z ＝b(mQ 0 +jq 0 )
wherein b is the equivalent coefficient of the system heating capacity, Q 0 Is the heat generation quantity of the air source, m is the number of the air sources in the system, q 0 Is the heat generation quantity of the gas source, and j is the number of the gas sources in the system.
4. A heating method of a heating system combining an air source and a gas source according to claim 3, wherein in the step c, the ideal heating formula is as follows:
wherein Q is a For generating heat per machine in the system, Q b For the heat consumed at the end of each machine in the system, Q c To exchange lost heat in the system.
5. A heating method of a heating system combining an air source and a gas source as claimed in claim 4, wherein in the step d, the system cost coefficient is calculated by the formula:
wherein m is the number of air sources to be started, j is the number of gas sources to be started, and Q 0 For real-time heat generation of air source, q 0 For real-time heat production, COP, of gas sources 0 Cop being the real-time energy efficiency ratio of the air source 0 Is the real-time energy efficiency ratio of the gas source, F is the local electric energy unit price, F is the local gas unit price, COP Electric power For air-source reference energy efficiency ratio, cop Burning device For gas source reference energy efficiency ratio, Q Electric power For reference heating of the air source, q Burning device Generates heat for the reference of a gas source.
6. The heating method of a heating system combining an air source and a gas source, according to claim 5, wherein in the step d, the total energy consumption ratio coefficient of the machine is calculated by the formula:
wherein m is the number of air sources to be started, j is the number of gas sources to be started, and Q 0 For real-time heat generation of air source, q 0 For real-time heat production, COP, of gas sources 0 Cop being the real-time energy efficiency ratio of the air source 0 For real-time energy efficiency ratio of gas source, F is local electric energy unit price, F is local gas unit price, COP Electric power For air-source reference energy efficiency ratio, cop Burning device For gas source reference energy efficiency ratio, Q Electric power Is airReference heat generation amount of source, q Burning device The heat is generated for the reference of the gas source.
7. The heating method of a heating system combining an air source and a gas source according to claim 6, wherein in the step d, the constraint interval of the total energy consumption ratio coefficient of the machine is as follows:
wherein Q is Electric power The reference heat generation amount of the air source.
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