CN115127138B - Heat supply method of heat supply system combining air source and gas source - Google Patents
Heat supply method of heat supply system combining air source and gas source Download PDFInfo
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- CN115127138B CN115127138B CN202210758025.2A CN202210758025A CN115127138B CN 115127138 B CN115127138 B CN 115127138B CN 202210758025 A CN202210758025 A CN 202210758025A CN 115127138 B CN115127138 B CN 115127138B
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- 238000000034 method Methods 0.000 title claims abstract description 21
- 230000020169 heat generation Effects 0.000 claims abstract description 29
- 238000005265 energy consumption Methods 0.000 claims abstract description 18
- 238000012417 linear regression Methods 0.000 claims abstract description 5
- 238000010438 heat treatment Methods 0.000 claims description 54
- 239000007789 gas Substances 0.000 claims description 37
- 239000002737 fuel gas Substances 0.000 claims description 29
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 12
- 238000004364 calculation method Methods 0.000 claims description 8
- 238000013461 design Methods 0.000 claims description 4
- 230000000694 effects Effects 0.000 claims description 4
- 238000004519 manufacturing process Methods 0.000 claims description 3
- 239000000446 fuel Substances 0.000 claims description 2
- 239000002699 waste material Substances 0.000 abstract description 2
- 239000007788 liquid Substances 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 229910001018 Cast iron Inorganic materials 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 239000011521 glass Substances 0.000 description 1
- 238000009413 insulation Methods 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
- 238000000691 measurement method Methods 0.000 description 1
- 230000008092 positive effect Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
Classifications
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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
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B30/00—Energy efficient heating, ventilation or air conditioning [HVAC]
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 heat consumption of a building per hour, heat generation capacity of a system per hour, a heat supply formula under 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, so that a most economical heat supply mode conforming to the current weather condition is constructed, energy waste and heat supply expenditure are reduced, heat supply temperature tends to be stable, and an optimal heat supply environment is provided for residents of non-energy-saving old-fashioned 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
Along with the rapid development of economy and the improvement of the living standard of people, the demand of people for heating hot water is also continuously increased. Especially, some residents of non-energy-saving old buildings are characterized in that the building has no external wall insulation, single glass window and no unit door, thus resulting in high heat consumption. The traditional heat supply mode of the building mainly adopts a coal-fired boiler for heating, a main pipeline is laid overhead, a single-pipe serial structure is adopted for pipelines in the building, and the tail end of the single-pipe serial structure is a cast iron radiator. The heat supply mode can meet the heat supply requirement of a building, but has the problems of large energy consumption and large temperature difference fluctuation.
The residents of the building are mostly retired old people, feel cold when the residents feel hot, the indoor temperature is required to be high, the water temperature is relatively kept stable, and the influence of environmental air temperature fluctuation is reduced. Therefore, in order to reduce energy consumption, at present, the heating reformation of old communities is mainly realized by using a coupling technology of multiple clean energy sources, and particularly, a heating system combining an air source and a gas source is most widely applied. Because the air source and the gas source are complemented, 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
The invention provides a heating method of the air source and gas source combined heating system, which is reasonable in design, simple in method and convenient to operate and can effectively realize the optimal control of the energy consumption of the air source and gas source combined heating system.
In order to achieve the above purpose, the invention adopts the technical scheme that the invention provides a heating method of a heating system combining an air source and a gas source, comprising the following steps:
a. firstly, calculating heat consumption of a building per hour according to a building design heat index, then determining user side flow according to a user heat supply index, calibrating indoor temperature and valve opening of a user by adopting a six-point calibration method, and determining a heat supply effect by using return water temperature and room temperature feedback, so as to determine system heat generation amount, entering a step b if the system heat generation amount is larger than the user heat consumption amount, and increasing heat supply of the system if the system heat generation amount is smaller than the user heat consumption amount until a machine in the system is fully opened;
b. according to meteorological conditions, calculating the heat generation quantity of each air source and each fuel gas source and the heat generation quantity of the system per hour;
c. determining a heat supply formula in an ideal state according to the heat consumed by the tail ends of each air source and each gas source and the heat lost by the 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 fuel gas source, the reference energy efficiency ratio, the local energy unit price and the fuel gas unit price, and determining a machine total energy consumption ratio coefficient constraint interval according to the energy efficiency ratios of the air sources and the fuel gas sources;
e. and carrying out linear regression learning according to the heat consumption per hour of the building, the heat production per hour 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 opening number of the air source and the gas source.
Preferably, in the step a, the calculation formula of the heat consumption per hour of the building is as follows:
wherein S is i For the area of room i, W i And k is the number of building rooms.
Preferably, in the step b, the heat generation amount of the system per hour is as follows:
Q z ＝b(mQ 0 +jq 0 )
wherein b is the equivalent coefficient of the heating capacity of the system, Q 0 The heat generation quantity of the air source is m is the number of the air sources in the system, q 0 And j is the number of the gas sources in the system.
Preferably, in the step c, the heating formula under ideal conditions is:
wherein Q is a Heat is produced for each machine in the system, Q b For the heat consumed at the end of each machine in the system, Q c Exchanging the lost heat for the middle of the machine in the system.
Preferably, in the step d, a calculation formula of the system cost coefficient is:
wherein m is k Number j of air sources to be turned on k To turn on the number of fuel gas sources, Q 0k Heat is generated in real time for an air source, q 0k For real-time heating of fuel gas source, COP 0 Is the real-time energy efficiency ratio of the air source, cop 0 Is the real-time energy efficiency ratio of the fuel gas source, F is the local electric energy unit price, F is the local fuel gas unit price and COP Electric power For air source reference energy efficiency ratio, cop Burning Is the reference energy efficiency ratio of the fuel gas source, Q Electric power Heat generation quantity q for reference of air source Burning Heat is generated for a reference of the fuel gas source.
Preferably, in the step d, the calculation formula of the total energy consumption ratio coefficient of the machine is:
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 heat consumption of a building per hour, heat generation capacity of a system per hour, a heat supply formula under 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, so that a most economical heat supply mode conforming to the current weather condition is constructed, energy waste and heat supply expenditure are reduced, heat supply temperature tends to be stable, and an optimal heat supply environment is provided for residents of non-energy-saving old-fashioned buildings.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort to a person skilled in the art.
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 invention will be more clearly understood, a further description of the invention will be rendered by reference to the appended drawings and examples. It should be noted that, in the case of no conflict, the embodiments of the present application and the features in the embodiments may be combined with each other.
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 otherwise than as described herein, and therefore the present invention is not limited to the specific embodiments of the disclosure that follow.
Embodiment 1, as shown in FIG. 1, the present embodiment provides a heating method of a heating system with a combination of 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 adopted to drive a compressor to operate, a high-pressure liquid working medium is evaporated into a gas state in an evaporator after passing through an expansion valve, and a large amount of heat energy is absorbed from the air; the gaseous working medium is compressed by a compressor into a high-temperature and high-pressure liquid state, and then enters a condenser to release heat to heat water. When the air temperature is lower than zero, the heating capacity is rapidly reduced, and the economy is worse.
For this reason, 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) in which an air source and a gas source are combined is required to realize control, it is required to determine that the heating capacity of the system can reach a heating index.
For this reason, in the present embodiment, first, the heat consumption per hour of the building is calculated from the building design heat index, and the calculation formula of the heat consumption per hour of the building is set as follows in the present embodiment:
wherein S is i For the area of room i, W i And k is the number of building rooms.
Then, calibrating the indoor temperature of the user and the opening of the valve by adopting a six-point calibration method, and determining the heating effect by using the feedback of the backwater temperature and the room temperature, wherein the indoor temperature T is in accordance with T=T α +T β 。T α T is relative to ambient temperature β Is the deviation temperature. Deviation temperature T β The determination should be that:
wherein T is α The temperature controller detects the actual indoor temperature. Deviation temperature T β The measurement method is as follows: and (3) starting heating under the condition that a room is unmanned, wherein when the temperature controller reaches the set temperature, the difference value between the actual temperature and the temperature of the temperature collector is the temperature deviation, measuring the temperature of 17-22 ℃ for six-point calibration, and compensating the corresponding deviation coefficient 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 actual measured value, solving the corresponding determinant to obtain a 1 ，a 2 ，a 3 ，a 4 ，a 5 ，a 6 。
The valve is a pressure independent valve, so that water conservancy calculation is not needed to be considered, and the flow and the opening degree are in a linear relation. And (3) calibrating the flow of the valve at 6 points, namely:
K＝δ 1 F 5 +δ 2 F 4 +δ 3 F 3 +δ 4 F 2 +δ 5 F+δ 6
wherein K is the opening of the valve, and F is the corresponding flow. Correspondingly calibrating six points, solving the corresponding matrix to calculate the corresponding delta 1 ，δ 2 ，δ 3 ，δ 4 ，δ 5 ，δ 6 。
Under the condition of certain water supply temperature, corresponding flow is adjusted to ensure that the temperature of the backwater is consistent, thus the heat supply effect is determined by using the backwater temperature and the room temperature feedback, if the heat generation amount of the system is larger than the heat consumption amount of a user, the economic mode can be entered, and if the heat generation amount of the system is smaller than the heat consumption amount of the user, the heat supply of the system is increased until the machine in the system is fully opened.
If the measured heat generation amount of the system is larger than the heat consumption amount of the user, the machine in the system can enter an economic mode, and the heat generation amount of each air source and each fuel source and the heat generation amount of the system per hour are calculated according to the weather condition at the moment.
The heat generation amount per hour of the system is set as follows:
Q z ＝b(mQ 0 +jq 0 )
wherein b is the equivalent coefficient of the heating capacity of the system, Q 0 Is the heat generation amount of the air source, m is the air source in the systemNumber, q of 0 And j is the number of the gas sources in the system. The heat generation amount of the air source is different under different outdoor air, and for this purpose, Q 0 Is a variable.
The equivalent coefficient of heating quantity is the ratio of the heating quantity measured under each working condition to the reference value by taking the heating quantity of two heat pumps under the condition that the temperature of water outlet is 45 ℃ at minus 5 ℃. Thus reflecting the heating capacity of various devices in various states.
Let the equivalent coefficient of heating capacity of the air source heat pump be a, the equivalent coefficient of heating capacity of the air source heat pump at each water temperature and air temperature is:
assuming that the heating quantity equivalent coefficient of the gas source heat pump is d, the heating quantity equivalent coefficient of the gas source heat pump at each water temperature and air temperature is as follows:
the equivalent coefficient b of the heating quantity of the machine in the mixed configuration is satisfied, the water outlet temperature is 45 ℃ at minus 5 ℃, the number of air source heat pumps is set as m, the number of gas source heat pumps is set as j, and the air source heat pump of the reference heating quantity is set as Q 0 The gas source heat pump is q 0 . The heating quantity air source heat pump is Q, and the gas source heat pump is Q, then there are:
the equivalent coefficient of heating capacity under the air temperature at each water temperature is as follows:
assume that each heat generated by the machine is Q a The heat consumed by each end is Q b Intermediate exchangesThe lost heat is Q c The ideal state of heat supply is:
let m be k Number j of air sources to be turned on k To turn on the number of fuel gas sources, Q 0k Heat is generated in real time for an air source, q 0k For real-time heating of fuel gas source, COP 0 Is the real-time energy efficiency ratio of the air source, cop 0 Is the real-time energy efficiency ratio of the fuel gas source, F is the local electric energy unit price, F is the local fuel gas unit price and COP Electric power For air source reference energy efficiency ratio, cop Burning Is the reference energy efficiency ratio of the fuel gas source, Q Electric power Heat generation quantity q for reference of air source Burning Heat is generated for a reference of the fuel gas source.
The system cost coefficients are:
the calculation formula of the total energy consumption ratio coefficient of the machine is as follows:
the energy efficiency of the air source is larger than that of the fuel gas source, so that the system is opened in a mixing way. If the energy efficiency ratio after mixing is too low, it is not as good as turning on the fuel gas source alone. From the air source equipment machine COP, the air source heat pump COP is not higher than 4.1 and not lower than 1.3, COP Electric power Is the air source reference energy efficiency ratio. Theoretically, the system equivalent coefficients 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 heat consumption of the building per hour, the heat production of the system per hour, 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 opening number of the air source and the gas source.
The present invention is not limited to the above-mentioned embodiments, and any equivalent embodiments which can be changed or modified by the technical content disclosed above can be applied to other fields, but any simple modification, equivalent changes and modification made to the above-mentioned embodiments according to the technical substance of the present invention without departing from the technical content of the present invention still belong to the protection scope of the technical solution of the present invention.
Claims (6)
1. A method of heating a heating system having a combination of an air source and a gas source, comprising the steps of:
a. firstly, calculating heat consumption of a building per hour according to a building design heat index, then determining user side flow according to a user heat supply index, calibrating indoor temperature and valve opening of a user by adopting a six-point calibration method, and determining a heat supply effect by using return water temperature and room temperature feedback, so as to determine system heat generation amount, entering a step b if the system heat generation amount is larger than the user heat consumption amount, and increasing heat supply of the system if the system heat generation amount is smaller than the user heat consumption amount until a machine in the system is fully opened;
b. according to meteorological conditions, calculating the heat generation quantity of each air source and each fuel gas source and the heat generation quantity of the system per hour;
c. determining a heat supply formula in an ideal state according to the heat consumed by the tail ends of each air source and each gas source and the heat lost by the 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 fuel gas source, a reference energy efficiency ratio, a local energy unit price and a fuel gas unit price, and determining a machine total energy consumption ratio coefficient constraint interval according to the energy efficiency ratios of the air sources and the fuel gas sources, wherein the machine total energy consumption ratio coefficient constraint interval is as follows:
wherein, COP Electric power The air source reference energy efficiency ratio is used;
e. and carrying out linear regression learning according to the heat consumption per hour of the building, the heat production per hour 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 opening number of the air source and the gas source.
2. A method for heating a heating system with a combination of air and gas sources according to claim 1, wherein the formula for calculating the heat consumption per hour of the building is:
wherein S is i For the area of room i, W i And k is the number of building rooms.
3. A method for heating a heating system with a combination of air and gas sources according to claim 2, wherein in step b, the heating amount per hour of the system is:
Q z ＝b(mQ 0 +jq 0 )
wherein b is the equivalent coefficient of the heating capacity of the system, Q 0 The heat generation quantity of the air source is m is the number of the air sources in the system, q 0 Is the heat generation quantity of the fuel gas source, j is the fuel in the systemThe number of air sources.
4. A heating method of a heating system with a combination of air source and gas source according to claim 3, wherein in step c, the ideal heating formula is:
wherein Q is a Heat is produced for each 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. The method for heating a heating system with air source and gas source as recited in claim 4, wherein in step d, the calculation formula of the system cost coefficient is:
wherein m is k Number j of air sources to be turned on k To turn on the number of fuel gas sources, Q 0k Heat is generated in real time for an air source, q 0k For real-time heating of fuel gas source, COP 0 Is the real-time energy efficiency ratio of the air source, cop 0 Is the real-time energy efficiency ratio of the fuel gas source, F is the local electric energy unit price, F is the local fuel gas unit price and COP Electric power For air source reference energy efficiency ratio, cop Burning Is the reference energy efficiency ratio of the fuel gas source, Q Electric power Heat generation quantity q for reference of air source Burning Heat is generated for a reference of the fuel gas source.
6. The method for heating a heating system with air source and gas source according to claim 5, wherein in step d, the calculation formula of the ratio coefficient of total energy consumption of the machine is:
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