CN111413115A - Intelligent measurement verification method and system for host efficiency of refrigeration air conditioner - Google Patents
Intelligent measurement verification method and system for host efficiency of refrigeration air conditioner Download PDFInfo
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Abstract
The invention provides an intelligent measurement and verification method for the efficiency of a main machine of a refrigerating and air-conditioning machine and a system thereof, wherein a computer (comprising a P L C programmable controller, an HMI human-machine interface, an IO input-output processor, a Pad panel computer … and the like) is used for constructing dynamic EER sets for the actual field operation of the main machine of the refrigerating and air-conditioning machine, and the numerical value of each dynamic EER set for the actual field operation of the main machine of the refrigerating and air-conditioning machine is calculated by adopting a calculation formula with a non-specified percentage range, and an average value method, a thermal balance value method (a CNS allowance method, an AHRI allowance method and a change value method) are used for removing unstable EER of load increase/reduction through calculation to obtain a stable EER set, so that the EER analysis and comparison and the change trend of the main machine of the refrigerating and air-conditioning machine in the actual field operation can be known, and the system provided by the method can provide real-time energy consumption information for displaying the main machine of.
Description
Technical Field
The invention relates to a measurement, analysis and comparison method and a system thereof, in particular to an intelligent measurement and verification method and an intelligent measurement and verification system for evaluating the field operation efficiency of a main machine of a freezing and air conditioning (comprising equipment for refrigerating and refrigerating equipment, a box type machine, a main machine of ice water, a brine ice machine, a heat pump … and the like which utilize refrigerant refrigeration to convey cold energy or equipment suitable for a freezing and air conditioning principle), and being capable of providing rapid energy-saving improvement results.
Background
In recent years, global climate change caused by greenhouse effect is more remarkable, energy conservation and carbon reduction are continuously responded internationally, and various countries continuously blow various industries and pay attention to power utilization and greenhouse gas emission control at any time, in particular to a refrigeration air-conditioning host machine with large power consumption. The standard of running energy conservation is determined in China, and the operation key points of energy conservation detection are further determined, but for a long time, the evaluation of energy conservation of a refrigeration air-conditioning main machine is not obvious, so that the improvement of energy conservation is not substantially assisted, and the following phenomena mainly exist:
the economic takeoff of Taiwan in the year 1961 is introduced into the refrigeration and air-conditioning industry, and at the time, it is known that EER groups (COP, EER and kW/RT) have significance along with water temperature load conditions, EER which are compared with each other have to meet the conditions that (1) EER is under the same water temperature load and (2) EER which are all in the same condition of steady state value is carried out, namely, EER comparison under different water temperature loads is meaningless, unfortunately, the technology of obtaining the steady state value is not broken through for many years, so that EER improvement of a main machine is not carried out later, and the green group in the prior 100 years (in the year 2011) of China proposes an energy saving regulation that the logarithmic average temperature difference (L MTD) of an evaporator and a condenser of an ice water main machine is not higher than 5 ℃, but only has a mathematical calculation formula, no specific method is proposed, so that the air-conditioning industry has objection, so that the energy source bureau of economic department is not implemented and the green group is not known.
The operating key points of the detection method for the operating efficiency of the ice water main engine of the air conditioner are announced by the ice water main engine operating efficiency management of the economic department in the same year (the year 2011 of the Gongyuan), and the method comprises the following steps: (1) when the efficiency of the ice water host machine is tested, one test per minute is adopted, and the average value of stable running data of more than thirty minutes is taken as a calculation basis. During the test, the load of the ice water main machine and the change of the ice (cooling) water flow rate need to be within +/-10 percent, and the ice water main machine is considered to be in stable operation, and if the ice water main machine is operated under the unstable condition, the ice water main machine is tested again. (2) When the efficiency of the ice water main machine is tested, the running load of the ice water main machine needs to be more than 50%, the water outlet temperature of ice water needs to be 7 +/-5 ℃, and the water inlet temperature of cooling water needs to be 30 +/-5 ℃. The error between the refrigerating capacity (kW) calculated by the ice water end and the refrigerating capacity (kW) calculated by the total heat balance formula at the cooling water end is within 10%, and the field test data can be regarded as effective data. "this bulletin defines the cooling water inlet temperature in the range of 25-35 ℃ and the ice water outlet temperature in the range of 2-12 ℃, and in addition, considerably relaxes the error allowance of CNS12575 from 5% to 10%, but this bulletin of the economic department is only a policy declaration and guidance, and still cannot provide a feasible method or reference data for the measurement verification and analysis and comparison of the Energy Efficiency Ratio (EER) in the air conditioning industry, so the operational point is also restrained.
Moreover, the air conditioning industry (operators, engineering companies, technicians) is not familiar with the real-field host Efficiency, particularly based on the fact that the real-field host Efficiency is dynamic EER, and stable EER cannot be distinguished, so that the construction, installation, operation and maintenance of the refrigerating and air conditioning host of the refrigerating and air conditioning engineering are limited to the functions of mechanical and motor manufacturing and assembly, fault maintenance, recovery, operation and the like of the refrigerating and air conditioning host, and whether the real-field dynamic (non-experimental field and test station) operation process of the refrigerating and air conditioning host meets the Energy Efficiency Ratio (Energy Efficiency Ratio; EER) or not is lack of objective measurement verification and analysis comparison, so that relevant manufacturers are almost free from touching in the design and construction level in order to avoid the situation that the incomplete office cannot be picked up. In addition, most of the existing refrigeration air-conditioning hosts adopt a traditional pointer type instrument, manual meter reading recording is adopted (only a few electronic instruments are used for online recording), the recording conditions are inconsistent and the continuity is not in accordance with the requirements, and the recorded numerical values are not analyzed and compared, so that the recorded numerical values have no reference value. Moreover, it is well known in the refrigeration and air-conditioning industry that the efficiency of the main unit of the refrigeration and air-conditioning system is seriously reduced due to the scale deposit for 30 years, however, the improvement of water treatment is difficult to judge in the cross-field chemical technology, so that good commodities can be expected to achieve the improvement purpose for a long time, and the EER measurement verification is lack, so that the EER cannot be obtained in time, and the improvement is in a blind wait. The economic department supports the large expenses required by the research institute to establish experimental farms such as cooling water and ice brine thermostatic tanks, pumps and the like for steady-state operation of the main machine based on the requirement of the national development of high-efficiency refrigeration air-conditioning main machines, however, the real-site operation of the main machine is not in accordance with the economic benefit, and no devices for steady-state operation such as the thermostatic tanks are arranged, so that the steady-state real-site EER of the main machine is not established in the industry for 30 years.
In view of the above problems, taiwan patent No. I327212 (institute of industry and research) provides a device for measuring Coefficient of performance (COP) or efficiency of an air conditioner host (including the air conditioner host or an external device thereof) and a network system for transmitting the same by using 5 position temperature sensors (i.e., an evaporator outlet temperature T1, a compressor outlet temperature T2, a condenser middle-section temperature Tc, a condenser outlet temperature T3, and an evaporator middle-section temperature Te on a refrigerant side, respectively). In addition, there are various EER measuring methods with sensors. However, the aforementioned invention patent No. I327212 and various measurement methods in the industry do not, but do not refer to the measurement and calculation of the water temperature and load of the cooling water and the ice brine on the water side, nor do they refer to the Energy Efficiency Ratio (EER) of the real-site dynamic operation (note that the dynamic EER includes three of load ascending/load descending/steady EER, and the steady EER can be obtained by eliminating the unsteady EER of load ascending/load descending), nor do they provide the Energy Efficiency Ratio verification and analysis comparison method based on the dynamic operation, so that the steady-state value of the real-site measurement (fouling state) of the main machine of the refrigeration air conditioner cannot be provided for determining whether the actual Energy consumption rate of the main machine of the refrigeration air conditioner is within the reasonable standard, and thus the actual application of the air conditioner in the air conditioning engineering cannot be provided, and the operation point of the detection method of the operation Efficiency of the main machine of the air conditioner cannot be completely met the "the detection method of the operation Efficiency of the main machine of the air conditioner" announced by the economic sector The data tested in steady operation can be considered valid data.
Disclosure of Invention
The invention aims to provide an intelligent measurement and verification method for the efficiency of a main machine of a refrigerating and air-conditioning system, which automatically analyzes and compares the condensation temperature, the evaporation temperature or the pressure and an EER group operated in the actual field of the main machine of the refrigerating and air-conditioning system by building in a database for storing the temperature and the enthalpy and the entropy of a refrigerant and the rated capacity and the energy consumption rate of the main machine of the refrigerating and air-conditioning system, applying a refrigerating and air-conditioning cycle principle and applying a mathematical transfer law comparison method, and providing the measured energy consumption of the main machine of the refrigerating and air-conditioning system so as to effectively evaluate the actual field operation efficiency of the main machine of the refrigerating and air-conditioning system and achieve the effects of substantial reference and practical value A steady state EER bank providing verification analysis comparison of the real-site operating efficiency of the main unit of the refrigeration air conditioner on a per temperature load basis, for example: 10 EER groups with 100 loads at the temperature of 10 and 100 exist in the temperature load range of 80-90% at the temperature of 28-29 ℃, and the total number is 1000 different temperature loads; in a common temperature load range of 25-30 ℃ and 50-100%, 50 loads with 500 temperatures exist, and the total amount is 25,000 different temperature loads; the 25,000 EER groups with different temperature load common ranges can be analyzed and compared in spring, summer, autumn and winter, and in the morning, afternoon and evening at night, and the practicability of high industrial value is obvious.
Another objective of the present invention is to provide an intelligent measurement and verification system for the efficiency of a main unit of a refrigeration and air-conditioning system, in which the management platform pre-stores the rated capacity and energy consumption rate data of the main unit of the refrigeration and air-conditioning system, and the processor analyzes and compares the energy consumption rate values of the main unit of the refrigeration and air-conditioning system during real-time operation, so as to provide real-time energy consumption information of the main unit of the refrigeration and air-conditioning system, thereby achieving a quick and effective evaluation effect.
The method is characterized in that a dynamic EER set (EER set and energy consumption kW do not indicate theory or actual or rated, and refer to theory and actual in a broad way) of the refrigerating and air-conditioning main machine real field operation is constructed through a computer (comprising a P L C programmable controller, an HMI man-machine interface, an IO input/output processor, a Pad tablet computer … and the like), each dynamic EER set value (comprising a theoretical value and an actual value) of each temperature load in the refrigerating and air-conditioning main machine real field operation is calculated by adopting a calculation formula in a non-specific percentage range, and an unsteady EER set of load increase/load decrease is removed through calculation by an average value method, a thermal balance value method (a CNS allowance method, an AHRI allowance method and a variation value method), so as to obtain the steady EER set.
The invention relates to an intelligent measurement and verification system for the efficiency of a refrigeration air-conditioning host, which is constructed in a management platform and can be connected with a computer or a handheld communication device to transmit information, and the system comprises: at least one memory and a processor, wherein: the internal memory stores the temperature, pressure, enthalpy value and entropy value of the refrigerant, and the freezing airRated capacity of main controller, EER groupRated valueAnd a calculation formula of the corresponding relation of the enthalpy value and the entropy value of the saturated refrigerant gas state and the liquid state of the condensation temperature or the evaporation temperature or the pressure; the processor and the memory are connected to at least one corresponding unit and an analysis and comparison unit, wherein the corresponding unit comprises a receiver which receives sensor signals arranged at an inlet and an outlet of a condenser, an evaporator or cooling water and ice brine of the refrigerating and air-conditioning main unit and can sense each numerical value of each stroke of the real-time operation of the refrigerating and air-conditioning main unit, such as: the receiver receives the sensed values and corresponds to the corresponding relation between the vapor and liquid enthalpy values and the entropy values of the saturated refrigerants with the condensation and evaporation temperature and the pressure established in the memory, so as to obtain the corresponding enthalpy values of the vapor and liquid saturated refrigerants in each temperature load; the analysis and comparison unit comprises a calculator for sequentially calculating dynamic and steady EER sets by the obtained corresponding enthalpy values of the saturated refrigerant gas and liquid through the calculation formula of the memoryTheory of the inventionAnd calculating the capacity of the freezing air conditioner host in real-field operation, dynamic EER groupTheory of the inventionAnd steady state EER groupTheory of the inventionThe EER group can be obtained by conversionPractice ofSo as to obtain the EER variation trend of the freezing air conditioner host in real-time operation or the capability of the freezing air conditioner host. The transmission device is provided with an identification interface and a display interface, and adopts wired or wireless transmission such as: bluetooth, Wifi or designated identification names transmit and display the dynamic and steady EER sets and the variation trend or the capability of the refrigerating air conditioner host in real-time operation on a computer or a handheld communication device.
According to the above, the analysis and comparison unit of the processor is used for the steady state EER setTheory of the inventionThe calculation of (1) is to eliminate the EER of load ascending/load descending by calculation by using a calculation formula in a non-specific percentage range and using an average value method and a heat balance value method (a CNS tolerance method, an AHRI tolerance method and a variation value method).
Other features and embodiments of the present invention will be described in detail below with reference to the drawings.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the present application, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a block diagram of an intelligent measurement and verification method for the efficiency of a main unit of a refrigeration and air-conditioning system according to the present invention;
FIG. 2 is a block flow diagram of an intelligent measurement and verification system for the efficiency of a refrigeration air-conditioning host according to the present invention;
FIG. 3 is a Moire diagram of a refrigeration and air conditioning unit according to the present invention;
FIG. 4 is a diagram of the relationship between scaled dynamics and steady state for the EER set containing theoretical and actual values in accordance with the present invention.
Description of the symbols
1 management platform 2 memory
3 processor 4 transmission device
5 computer screen 6 screen of hand-held communication device
31 correspondence unit 32 analysis comparison unit
41 recognition interface 42 display interface
Detailed Description
The positional relationship described in the following embodiments includes: the top, bottom, left and right, unless otherwise indicated, are based on the orientation of the elements in the drawings.
Referring to fig. 1, a block diagram of an intelligent measurement and verification method for the efficiency of a main unit of a refrigeration and air-conditioning system according to the present invention is shown, wherein the intelligent measurement and verification method for the efficiency of a main unit of a refrigeration and air-conditioning system according to the present invention includes the following steps: prestoring data, establishing the principle of refrigeration air-conditioning circulation, inputting the real-field operation data of a refrigeration air-conditioning host machine, calculating dynamic and steady EER groups, verifying, analyzing and comparing the change trend of the steady EER groups, wherein the prestoring data comprises the steps of prestoring the temperature and pressure of a refrigerant and prestoring the change trend of the steady EER groupsEnthalpy value, entropy value, rated capacity of main machine of refrigerating air conditioner, EER groupRated value(ii) a The steps of the principle of establishing the refrigeration and air-conditioning cycle are four procedures according to the refrigeration and air-conditioning cycle principle: establishing a corresponding relation between saturated gaseous and liquid enthalpy values and entropy values of refrigerant condensation and evaporation temperature and pressure by taking the circulating operation of compression (isentropic procedure) → condensation (gaseous state-to-liquid state isobaric isothermal procedure) → expansion (isenthalpic procedure) → evaporation (liquid state-to-gas state isobaric isothermal procedure) as a reference; the input of the real-field operation data of the refrigerating and air-conditioning main machine is carried out by adopting a manual input mode or a sensing calculation mode for condensing and evaporating temperature or pressure of each refrigerant of the refrigerating and air-conditioning main machine in real-field operation and is used for corresponding to the established corresponding relation of enthalpy and entropy; in the embodiment, the numerical values of the condensation and evaporation temperature or pressure of the refrigerant of the refrigeration air-conditioning host machine or the numerical values of instruments arranged at the inlet and the outlet of cooling water and ice brine are copied and stored by manual input; in another embodiment, the dynamic EER set is obtained by connecting the temperature or pressure, power, etc. sensed by the sensor to be installed with the receiver in a sensing manner, and the steady-state EER set is obtained by using a calculation formula with a non-specific percentage range and by removing the EER of the load-up/load-down through calculation by using an average value method and a thermal equilibrium value method (a CNS tolerance method, an AHRI tolerance method and a variation value method).
Thus, after obtaining the dynamic EER group, the steady state EER group, capacity or energy consumption is further calculated, that is, the steady state EER group is obtained by calculating and rejecting the load-up/load-down EERs through the calculation formula of the unspecified percentage range by the average value method, the thermal balance value method (CNS allowance method, AHRI allowance method, change value method) for each saturated refrigerant gas state and liquid state dynamic EER group of the freezing air-conditioning main machine in the real-field operation.
Once the steady state EER set is obtained, the steady state EER set is analyzed and compared, so that the EER change trend of the refrigerating and air-conditioning main machine in the real-site operation can be obtained. The trend can be represented by characters, tables and curves before and after the energy-saving improvement or changes of EER groups according to days, weeks, months, seasons and years.
Referring further to FIG. 2 in conjunction with FIG. 3, the present invention establishes refrigerant condensation,The relationship between the saturated vapor state of evaporation temperature and pressure and the enthalpy and entropy of the liquid state is a Mollierchart (Mollierchart) based on the refrigeration-air-conditioning cycle principle, and as shown in the figure, the compression (T1 → T2) is an isentropic process, and the condensation (T2 → T3) is isobaric (P2-P3-P3) in which the vapor state changes into the liquid stateC) Isothermal procedure (T2 ═ T3 ═ T)cT2' is the refrigerant saturated gas point, expansion (T3 → T4) is adiabatic isenthalpic process, and evaporation (T4 → T1) is liquid-to-gas isobaric (P4-P1)E) Isothermal procedure (T4-T1-T)E). The relation is established by the enthalpy value h1 obtained from the gaseous refrigerant temperature T1, and the enthalpy value h2 is obtained from the entropy value T1 and P in the databaseCThe enthalpy value h3 is determined by the liquid refrigerant condensation temperature TcThen, an enthalpy value h4 (enthalpy value h3) is determined. Based on the principle of the Morie plot cycle operation, the program in the processor 3 described in the present invention can be calculated according to the condensing and evaporating temperatures or pressures, and the EER set value (note: enthalpy h in the Taiwan patent No. I327212 in the prior art)1By measuring the evaporator outlet temperature T1Obtaining; enthalpy value h2By measuring the compressor outlet temperature T2, the enthalpy h1 and h2 of the present invention are obtained by the aforementioned procedure without the need for two temperature gauges, which are different). The refrigerant temperature is established from-200 ℃ to +60 ℃ to be stored in a database in a memory introduced by the invention, and the database comprises 5 data such as temperature, pressure, enthalpy (liquid state), enthalpy (gas state), entropy and the like, namely, the enthalpy and entropy of each saturated refrigerant gas state and liquid state of the freezing air-conditioning main machine in the real-field operation can be accessed into the memory by conversion, the calculation process has non-integral temperature and can also be converted by an interpolation method, and the dynamic EER group calculation formula in the real-field operation is as follows:
COP (h1-h4)/(h2-h1) formula (1)
EER 0.86 COP (EER unit kcal/W-h) formula (2)
QEVH1-h4 type (1-1)
LF＝QEV/QEV,100100% of formula (1-2)
kW/RT 3.516/COP type (3)
kW＝QEV*3.516/COP(QEVUnit selected RT) type (3-1)
The symbols in the above formula, wherein:
kW: energy consumption, calculated electric power
QEV: running freezing air-conditioning capacity (unit kW, kcal/h, RT)
L F, load.
RT: and (5) freezing ton.
COP: main unit performance coefficient of refrigeration air-conditioner (unit: dimensionless, or kW/kW)
EER: energy efficiency ratio (kcal/h-W or BTU/h-W)
kW/RT: and (4) energy consumption rate.
The dynamic phenomena of loading and unloading in the operation of the freezing air conditioner host in real-field operation often comprise a dynamic value and a steady-state value, the reproducibility of the scientific requirement cannot be met, the steady-state value must be firstly obtained to meet the scientific requirement, and EER comparison can only be significant. The EER obtained according to the above calculation formula is a dynamic value, and an operation value and a reference value of a steady state value must be obtained. (note: the reference value refers to the steady state value established on the completion day of the main machine of the refrigeration air conditioner, or the steady state value established on the pickling day of the main machine of the refrigeration air conditioner in the state of no scale deposit after pickling. The invention adopts the calculation of the unspecified percentage range to remove the EER of the load increase/load decrease to obtain the EER of the steady state, the calculation of the unspecified percentage range can be through an average value method and a heat balance value method, wherein, the average value method is to obtain the average value of the range lower than 10% by several times of calculation for the dynamic EER group of all real fields of all temperature loads of the appointed continuous days, namely, according to the dynamic EER group of each temperature load, the EER in the range of 25%, 10% and 5% is obtained by several times of calculation, namely, the EER of the steady state can be obtained, the EER group of the dynamic EER is respectively calculated to be the second EER according to the EER of the initial average of each temperature load condition after the EER with the error of 25% is removed, then the range is respectively reduced to 10%, 5% is respectively the third EER and the fourth EER, the EER is the steady state EER, and according to the selected day is defined as the reference value and the running value, and the original operation data of the reference value and the operation value are taken as steady-state data, and the operation data which are removed for the first three times are all taken as unsteady-state data, so that the steady-state data and the unsteady-state data can be established and stored in the memory.
In addition to the above average value method, the CNS tolerance method, AHRI tolerance method, and variation value method, which are non-constant heat balance value methods, can calculate the steady state value similarly, and the following calculation methods are tried:
CNS tolerance method: after stabilization according to CNS12575 (section 7.2.2), the measurement was continued 3 times at intervals of 5 minutes or more, i.e., at intervals of 10 minutes or more (5 × 2 intervals: 10 minutes) or more, and when the 3 heat balance values are less than the tolerance value, the pen was defined as the steady-state EER, i.e., at the current operating value. The percent heat balance is defined as follows:
(QEV+Winput－QCOND)/QCOND100% of formula (5)
(Note: Q)EVFor net refrigeration capacity, Winput is the energy of the compressor input work, QCONDThe heat of the condenser discharged to the cooling water. )
(Note: CNS12575 specifies (section 8.1) that this percentage of allowable error applies to the frozen tons, efficiency and heat balance values.
Tolerance of 10.5-0.07 ×% F L + (833.3/(DT)FL×% F L)) formula (6)
Wherein the percentage of F L is load percentage
DTFL: temperature difference (. degree. C.) between the outlet and inlet water temperatures of ice brine at full load
The full load temperature difference DT of the above equation (6)FLWhen the load temperature differences DT are replaced, the allowable error calculation formula (6-1) is also an embodiment of the present invention.
Tolerance error 10.5-0.07 ×% F L + (833.3/(DT ×% F L)) formula (6-1)
(Note: DT: temperature difference (. degree. C.) between the temperature of the outlet water and that of the inlet water of the ice brine at each load.)
CNS tolerance method by DTFLAHRI tolerance method at 5.0 ℃By DTFLFormula (6) was substituted at 5.6 ℃ ℉ 10 ℉ and the results of the calculations for formula (6-1) with a variable DT as shown in the seven loads below. In practice, the main unit of the refrigerating air conditioner rarely operates under 40% of load, and the following tables one to three show the calculation results.
Table I by DTFLTolerance of the results was calculated at a constant value of 5.0 ℃ (CNS tolerance method)
TABLE II by DTFLTolerance of the results of the fixed value calculation at 5.6 ℃ (AHRI allowed difference method)
| ％FL | ％ | 100 | 80 | 60 | 40 | 30 | 15 | 10 |
| DTFL | ℃ | 5.6 | 5.6 | 5.6 | 5.6 | 5.6 | 5.6 | 5.6 |
| Result of the tolerance calculation | ％ | 4.99 | 6.76 | 8.78 | 11.42 | 13.36 | 19.37 | 24.68 |
| Tolerance 2 times value | ％ | 9.98 | 13.52 | 17.56 | 22.84 | 26.72 | 38.74 | 49.36 |
The variation method takes approximate integer values of the corresponding calculation results of the first two tables as shown in the following table, and calculates the tolerance of loads which are not listed in the table according to an interpolation method.
Tolerance of the table-three variation method
| ％FL | ％ | 100 | 80 | 60 | 40 | 30 | 20 | 15 | 10 |
| Tolerance error | ％ | 5 | 7 | 9 | 11 | 13 | 17 | 20 | 25 |
| Tolerance 2 times value | ％ | 10 | 14 | 18 | 22 | 26 | 34 | 40 | 50 |
Full load DT as in Table two aboveFLSubstituting 10 ° f with three temperature values of 5.55, 5.56, and 5.6 ℃ will yield different values, but all are within the practice of the invention. Different choices of carry, not carry, or half thereof, or tolerance 2 values of the decimal of the next-to-integer value are also within the practice of the invention. The present invention can select the stability according to the individual operation, for example, the interval with good stability can select longer 30, 40, 50, 60 minutes, one stroke per minute, and the number of strokes thereof is 31, 41, 51, 61 strokes, so as to obtain the steady state value. Generally, 10 minutes can be selected, the numerical factors are 1, 2 and 5, and the interval (number of strokes) is 10(11), 5(6), 2 (3); the interval of the poor stability is 3 minutes, the factor is 1, and the interval number (stroke number) is 3 (4); the worst one can select an interval of 2 minutes, the factor is 1, the interval number (stroke number) is 2(3), and the calculated steady state value can be achieved.
In addition, each numerical value of each real operation of the main unit of the refrigerating and air-conditioning system includes a fouling value, which affects the actual variation trend, and therefore, the result of checking the energy saving must be calculated. The fouling value can be obtained from the water flow rate, the water specific heat, the temperature difference between inlet water and outlet water of the condenser capacity or the refrigerating and air-conditioning capacity, namely, the fouling value of the real-field operation is obtained according to the following formula, and the degree of change caused by fouling of each refrigerating and air-conditioning main unit can be directly shown by the fouling value:
Q＝m*Cp*ΔT＝UA*ΔTLMformula (4)
Q: condenser capacity (Q)CONDCondenser side) or refrigerated air conditioning capacity (Q)EVEvaporator side)
m: cooling water or ice brine flow rate Cp: specific heat of water, 1 kcal/. degree.C. -kg
U: total heat transfer coefficient, A: heat transfer area
ΔTLMThe logarithmic mean temperature difference (L MTD for short) is calculated as follows:
ΔTLM＝(ΔT1－ΔT2)/(lnΔT1－lnΔT2) Formula (4-1)
COP＝QEVkW type (4-2)
ΔTLM＝LMTD＝QCOND/(UA)CONDFormula (4-3)
ΔLMTD＝Q/(UA)F－Q/(UA)CFormula (4-4)
ΔLMTD＝QK[1/(UA)F－1/(UA)C]Formula (4-5)
In the above formula,. DELTA.T1＝Tcond－TCWE，ΔT2＝Tcond－TCWLWherein Tcond is the condensation temperature of refrigerant, TCWE、TCWLThe temperature of the cooling water is the water inlet temperature and the water outlet temperature; qCONDHeat discharged to the cooling water for the condenser; (UA)FHeat transfer value after fouling, (UA)CFor clean and non-fouling heat transfer value, [1/(UA)F－1/(UA)C]The delta L MTD is the name for the fouling value at the same load, i.e. Q ═ QK，QKIs a constant.
After the dynamic EER and the steady-state EER are established, the change trend of the EER is seen by comparing the two steady-state EERs through a mathematical transfer law, basically, the application of the mathematical transfer law belongs to error-free calculation, in other words, the running value of any appointed day can be parallelly moved and compared with the running value or the reference value of the same water temperature load of another appointed day, the running value and the reference value are the difference value and the ratio of the two days, namely, the steady-state value of the complete day or the annual pickling day is defined as the reference value of the current year, the steady-state value of the later day 364 is defined as the running value of the current day, the running value is divided by the reference value, the reduced trend percentage of the EER of each day, each month, each season and one year can be obtained and used as an indicator for improving energy conservation, the reduced amplitude of the displayed trend is higher than the expectation, and the trend is immediately improved, so that the method is called; or to order contract improvement magnitude, verify the improvement result is … as expected, etc. Taking the comparison of EER for each month of 1 day as an example, the COP operating value at 29 ℃ 90% of the water temperature load at 7 month and 1 day is 5.25, and the COP operating value at 29 ℃ 90% of the same temperature load point at 8 month and 1 day is shifted to 4.95, and the two are divided by 4.95 ÷ 5.28%
93.75% get the percentage value of the comparison. The percentage value can provide a reference for evaluation, namely, not only can the COP operation trend be reduced from 100% to 93.75% in one month, but also a standard percentage value for contract agreed fouling control can be defined, for example, the contract requirement is not lower than 95% or 90%, and when the former is defined, the energy-saving improvement rate is lower than the contract; when the latter is defined, the energy-saving improvement rate is in accordance with the contract, so that the invention can provide the user to define the standard value of the energy-saving improvement trend.
The refrigerating and air-conditioning main machine operated in real field can calculate the steady EER group by the inventionTheory of the inventionThereby, the rated capacity and EER set of the refrigerating and air-conditioning main machine can be storedRated valueThe EER groups are obtained by conversionPractice ofThe energy and energy consumption of the main refrigerating air conditioner in real-field operation can be further calculated by analyzing and comparing through a transition law comparison method, namely, the enthalpy value (h) of each saturated refrigerant gas state and liquid state of the main refrigerating air conditioner in real-field operation1、h4) Dividing ton of the corresponding refrigerating and air conditioning main machine, converting the ton by the difference between the theoretical value and the actual value, and obtaining the capacity RT of each operating temperature load by interpolationLFAnd energy consumption kWLFThe calculation formula is as follows:
QEVh1-h4 type (1-1)
CF100＝(h1-h4)100÷RT100Formula (1-3)
RTLF＝(h1-h4)LF÷CFLFFormula (1-4)
kWLF＝QEV,LF*kW/RTLF(QEVUnit selected RT) type (1-5)
CF in the above formula100、RT100The subscript 100 of the value indicates 100% of the rated load; RT (reverse transcription)LF、CFLF、kWLFThe capacity, scaling factor, and energy consumption of the load L F, respectively, are shown in Morie in FIG. 3H on ear line graph1、h4Corresponding to division of tonnage of main machine, i.e. (h1-h4)100÷RT100Value, the conversion ratio of the host, this CF100Called the conversion factor 100. for example, the new air conditioner main units of the refrigerating air conditioner have factory data, wherein the RT with 100%, 75%, 50%, 25% of the integral partial load of IP L V of CNS12575100、RT75、RT50、RT25The values (or kCal/h, BTU/h) correspond to h on the Morie plot1、h4Q of (2)EVThe value, in accordance with the formula (1-3), can be found as four conversion factors CF100、CF75、CF50、CF25I.e. three RT values outside 100% load were also compared. Wherein h is1、h4The corresponding value belongs to a scientific theoretical value, and the factory data belongs to an actual operation value, so the conversion coefficient comprises the difference between the theoretical value and the actual value and is a comprehensive value of the theoretical value and the actual value. Once the four scaling factors are obtained, the CF of each operating temperature load calculation can be obtained by interpolationLFAnd the equation (1-4) gives the capacity (ton) RT of the load L FLFIn short, the calculation formula can calculate the capacity and energy consumption of the main refrigerating air conditioner in real-time operation.
Moreover, the invention provides the EER verification and analysis for the effect evaluation of energy saving and scale prevention, if the existing host lacks three RT and kW values of 75%, 50% and 25% of IP L V integrated partial load, namely only RT is available100、kW100When it is, then use CF100Instead of CF75、CF50、CF25Even each load CFLFCapability RT due to equal temperature load before and after foulingLFAnd energy consumption kWLFAll adopt the same CF100Therefore, the relative percentage of the capacity before and after the fouling and the energy consumption is not influenced. The invention can be applied to the improvement of energy conservation of the existing host machine.
The EER group will be described by using the following calculation formulas (1) to (3) with the subscript 100 as the rated loadTheory of the inventionAnd, EER groups of the formula (1-6) are calculated from the following formulaTheory of the inventionAnd EER groupPractice ofThe conversion of the two is only to change the subscript 100 into the actual loadL F of (C) indicates the load (COP, EER, kW/RT)L F, theoryThat is, in other words, three values CF of 75%, 50%, 25% of the partial load75、CF50、CF25All in the same conversion, other loads CFLFThe calculation is convenient by interpolation, and the binary coefficient of performance (COP) on the right side of the formula (1-7) is calculated as followsL F, theory&CFLF,COP) The COP can be calculated from the formula (1-6)L F, practice. The distance between two curves of EER group theory and actual two values is a conversion factor CFLF,COPMultiple times. The two are respectively compared with a steady state EER set (an operation value or a reference value) with the same temperature and load by a gradual shift law comparison method to judge the fouling degree, and the theoretical value and the actual value adopt the same CFLF,(COP、EER、kW/RT)Therefore, the EER group theory and actual binary do not affect the determination of the relative percentage of fouling, other loads (COP, EER, kW/RT)L F, practiceObtained by the following formula (1-7), formula (2) and formula (3). Therefore, the application range of the invention can be expanded to the energy-saving improvement of the existing host.
COP100 theory of＝[(h1-h4)/(h2-h1)]100Formula (1)
EER100 theory of＝0.86*COP100 theory of(EER unit kcal/W-h) formula (2)
(kW/RT)100 theory of＝3.516/COP100 theory ofFormula (3)
CF100,COP＝COP100 theory of÷COP100, practice ofFormula (1-6)
COPL F, practice＝COPL F, theory÷CFLF,COPFormula (1-7)
In the above formula RT100、COP100、CF100Subscript of100This value represents the rated load at 100%; COPLF,Theory of the inventionAnd COPL F, practiceThe theoretical and actual COP for each operating temperature load L F.
In summary, referring to FIG. 4, the EER set, the theoretical values of energy consumption and capacity, and the actual values obtained from the Morlie Chart (Mollier Chart) of the principle of the refrigeration-air-conditioning cycle are two axes separated by the conversion factor CFLFAs described in each of the foregoingCalculating a formula; the dynamic value of the EER group is an axis, and a steady state value is obtained by calculation through an average value method and a thermal balance value method (a CNS allowance method, an AHRI allowance method and a variation value method) and is another axis, and the obtained steady state EER can be analyzed and compared in an energy-saving way, so that the EER comparison can be meaningful when scientific requirements are met.
Referring to fig. 2, a block flow chart of the system for intelligently measuring and verifying the efficiency of a refrigeration and air-conditioning host according to the present invention is constructed in a management platform by the method of the present invention, the management platform can be connected to a computer or a handheld communication device for transmitting information, and the system of the management platform 1 includes: a memory 2, a processor 3, and a transmission device 4, wherein the memory 2 stores the temperature, pressure and enthalpy of the refrigerant, entropy, and the rated capacity of the main machine of the refrigeration air conditioner, EER setRated valueAnd the corresponding calculation formula of the corresponding relation of the gas state and liquid state enthalpy value and entropy value of the saturated refrigerant of the condensation and evaporation temperature or pressure, that is, the temperature, pressure and enthalpy value and entropy value of the refrigerant stored in the memory 2 are based on the cycle operation of compression → condensation → expansion → evaporation of the refrigeration air conditioner, and the corresponding enthalpy value relation of the gas state and liquid state of the saturated refrigerant of the condensation and evaporation temperature and pressure is established, including the entropy value during compression, the isobaric enthalpy value during the phase change of the gas state and the liquid state during condensation, and the enthalpy value during expansion; the liquid state to gas state constant pressure and constant temperature enthalpy value in evaporation and the dynamic EER set in real-field operationTheory of the inventionA calculation (i.e., the calculation disclosed above). The memory 2 also stores a calculation formula (i.e., the calculation formula disclosed above) for obtaining the fouling value in the real-time operation.
The connection between the processor 3 and the memory 2 includes: a corresponding unit 31 and an analysis and comparison unit 32, wherein the corresponding unit 31 comprises a receiver (not shown), the receiver 31 receives the condensation and evaporation temperature or pressure of the refrigerant, or the temperature set at the inlet and outlet of the cooling water or the ice brine; or the condensing and evaporating temperature or pressure of the refrigerant, or the temperature of the inlet and outlet of the cooling water and the ice brine are input manually; the condensing and evaporating temperature or pressure is corresponding to the temperature, pressure, enthalpy and entropy stored in the memory, and each time the main machine of the refrigerating and air-conditioning operates in the real field is obtained by calculationThe dynamic EER set of the temperature load is stored later or directly input into the dynamic EER set for storage. The analyzing and comparing unit 32 includes a calculator (not shown) which includes a calculation formula for obtaining the steady-state EER set and a calculation formula for obtaining the energy consumption rate of each operating temperature load, wherein the calculation formula for obtaining the steady-state EER set can calculate and eliminate the load-up/load-down EER in each dynamic EER set value (including the theoretical value and the actual value) obtained by the corresponding unit, so as to obtain the steady-state EER set (i.e., each calculation formula disclosed). The calculation formula of the capacity and the energy consumption of each operating temperature load is the calculation formula disclosed above. By the calculation formula disclosed above, each operating temperature load EER set can be obtainedPractice of. The transmission device 4 has an identification interface 41 and a display interface 42, and adopts wired or wireless transmission such as: bluetooth, Wifi or a designated identification name, and the dynamic and steady EER sets and the trend, or the capability of the refrigerating and air-conditioning main unit in real-time operation, are transmitted and displayed on the computer 5 or the handheld communication device 6.
To sum up, the present invention utilizes the advanced calculation technology and database technology, only needs to set two sensors to sense the condensation and evaporation temperature or pressure of the refrigerant, and compared with the temperature sensor (unable to obtain the steady state value) with 5 positions disclosed in the prior art, which is disclosed in the patent No. I327212, can improve the social acceptance, and uses the outlet water temperature of the cooling water and the ice brine running on the field to replace the condensation and evaporation temperature of the refrigerant as sensing, thereby enlarging the used objects, and can calculate the dynamic and steady state EER groups accordingly, and the obtained value has considerable accuracy, so as to further pass through the verification analysis technology, can quickly and effectively evaluate the energy saving effect of the scale deposition improvement, thereby (1) reducing the labor cost, (2) avoiding the errors of human calculation and table look-up, and the like, and (3) reducing the annoying psychological obstacles caused by the repetition, (4) the EER data is greatly improved to meet relevant regulations, energy-saving work is promoted, and high-level technologies such as EER steady-state values and comparative analysis of the EER steady-state values drive energy-saving values.
In summary, the present invention provides a method and a system for intelligently measuring and verifying the efficiency of a main unit of a refrigeration air conditioner, which can achieve the purpose of creation and meet the requirements of patent, however, the above description is only a preferred embodiment of the present invention, and the most various modifications and variations are according to the present invention, that is, the method for intelligently testing the efficiency of a main unit of a refrigeration air conditioner according to the present invention comprises the following steps: storing the program and the calculation formula in a CD, a DVD or a portable disk; or a program written in various languages of a computer, macroinstructions, an electronic device APP and the like, instead of the system of the present invention; or a comparison in which a week, a season, a year is substituted for the example (day, month) of the present invention; or the change trend of EER groups before and after the improvement of energy saving or according to day, week, month, season and year is represented by characters, tables and curves; or the operation mode of the main machine is changed from automatic operation to manual operation, and each time of continuous operation at intervals of 5 minutes is changed to be more than or less than 5 minutes, so as to obtain the change that the thermal balance value of at least 3 pens is equal to or less than the tolerance value, and the like, and the change is still included in the scope of the present application.
The above-described embodiments and/or implementations are only for illustrating the preferred embodiments and/or implementations of the present technology, and are not intended to limit the implementations of the present technology in any way, and those skilled in the art may make modifications or changes to other equivalent embodiments without departing from the scope of the technical means disclosed in the present disclosure, but should be construed as the technology or implementations substantially the same as the present technology.
Claims (12)
1. An intelligent measurement and verification method for the efficiency of a refrigerating and air-conditioning main machine is characterized in that an electronic device comprises a P L C programmable controller, an HMI human-machine interface, an IO input-output processor, a Pad tablet computer and a computer, dynamic EER groups of each temperature load in the real-field operation of the refrigerating and air-conditioning main machine are constructed to comprise theoretical values and actual values, the number of each dynamic EER group in the real-field operation of the refrigerating and air-conditioning main machine is calculated by adopting a calculation formula in a non-specific percentage range to remove the load-increasing/load-reducing EERs, and a stable EER group is obtained.
2. The method of claim 1, wherein the calculation formula of the unspecified percentage range is a calculation formula of an average value method or a heat balance value method; the average value method is that the dynamic EER group which specifies all the temperature loads of each continuous day and runs in real field is calculated for several times to obtain the average value within the range of less than 10 percent; the thermal equilibrium value method is that the thermal equilibrium value of each dynamic EER group in the real-field operation of each temperature load of specified continuous days and each time interval are continuously less than the range of 10 percent for more than 2 times for at least 3 minutes.
3. The method of claim 2, wherein the averaging method comprises removing EERs other than 25% of errors from the initial averaged EER of the dynamic EER group for each temperature load on the specified consecutive days, calculating the average value as the second EER, and reducing the range to 10% and 5% as the third and fourth EERs, respectively, wherein the fourth EER is a steady-state EER, and is defined as a reference value or an operation value according to the selected day, and the original data of the reference value and the operation value are listed as steady-state data, and the original data removed in the previous three times are all listed as unsteady-state data; and (3) the EER of each pen is a steady state value if the heat balance value calculation is carried out by using the heat balance value of each pen as the tolerance value and continuously setting the tolerance value of 3 pens for 2 times at intervals of 5 minutes as the steady state value.
4. The method as claimed in claim 1, wherein the dynamic EER set is constructed by manual input, sensing, or direct input for storage; if manual input is used, the condensation and evaporation temperature or pressure of the refrigerant of the refrigerating air-conditioning host machine or the numerical values of instruments arranged at the inlet and the outlet of cooling water and ice brine are copied and input, and then a dynamic EER group is obtained for storage; if the temperature or pressure sensed by the sensor to be installed is connected with the receiver by sensing method, the dynamic EER set storage is obtained.
5. The method of claim 1, wherein the dynamic EER set for real-site operation of the main unit of the refrigerating and air-conditioning system is constructed by establishing a corresponding relationship between enthalpy values and entropy values of saturated gas and liquid states of refrigerant condensation, evaporation temperature and pressure based on the operation of the refrigerating and air-conditioning cycle, wherein the corresponding relationship includes an enthalpy value during compression, an enthalpy value during isobaric isothermal and isothermal states of gas-to-liquid states during condensation, and an enthalpy value during expansion; and the liquid state changes the gas state when evaporating, isobaric and isothermal enthalpy value; and each value of the real-field operation of the refrigerating and air-conditioning main machine is as follows: the condensation and evaporation temperature or pressure of the refrigerant, or the cooling water and ice brine outlet water temperature close to the temperature of the refrigerant replace the condensation and evaporation temperature of the refrigerant, and the numerical values correspond to the established corresponding relation between the saturated gas state and liquid state enthalpy value and entropy value of the refrigerant condensation and evaporation temperature and pressure, so as to obtain the enthalpy value and entropy value corresponding to the saturated gas state and liquid state in each temperature load, and obtain the dynamic EER group.
6. The intelligent measurement and verification method for main unit efficiency of refrigeration and air-conditioning system as claimed in claim 5, wherein the enthalpy and entropy values of each saturated refrigerant in gas and liquid states for each temperature load of the main unit of refrigeration and air-conditioning system during real-time operation can be obtained by calculation, and the EER set is dynamic during real-time operationTheory of the inventionThe calculation formula is as follows:
COP＝(h1-h4)/(h2-h1) Formula (1)
EER 0.86 COP (EER unit kcal/W-h) formula (2)
QEV＝h1-h4Formula (1-1)
LF＝QEV/QEV,100100% of formula (1-2)
kW/RT 3.516/COP type (3)
kW＝QEV*3.516/COP (QEVThe unit is selected from RT) formula (3-1).
7. The method of claim 5, wherein each dynamic EER set value of the real-time operation of the main unit comprises a fouling value, which can be obtained from the water flow rate, specific heat, temperature difference between inlet water and outlet water, etc. of the condenser capacity or the refrigerating and air-conditioning capacity, i.e. the fouling value of the real-time operation is obtained according to the following formula:
Q＝m*Cp*ΔT＝UA*ΔTLMformula (4)
ΔTLMThe logarithmic mean temperature difference (L MTD for short) is calculated as follows:
ΔTLM＝(ΔT1－ΔT2)/(lnΔT1－lnΔT2) Formula (4-1)
COP＝QEVkW type (4-2)
ΔTLM＝LMTD＝QCOND/(UA)CONDFormula (4-3)
ΔLMTD＝Q/(UA)F－Q/(UA)CFormula (4-4)
ΔLMTD＝QK[1/(UA)F－1/(UA)C]Formula (4-5).
8. The method as claimed in claim 1 or 3, wherein the EER set is calculated by calculating a percentage of the EER set, and the EER set is further compared with the stored EER set and the rated capacity of the main unitRated valueThe capacity and energy consumption of the main refrigerating air conditioner in real-field operation can be further calculated by analyzing and comparing through a transition law comparison method, namely, the enthalpy value h of the saturated refrigerant gas state and the liquid state of each evaporator of the main refrigerating air conditioner in real-field operation1、h4Dividing ton of the corresponding refrigerating and air conditioning main machine, converting the ton by the difference between the theoretical value and the actual value, and obtaining the capacity RT of each operating temperature load by interpolationLFAnd energy consumption kWLFSo as to obtain the EER variation trend of the freezing air-conditioning main machine in real-field operation, and further calculate the capacity or energy consumption of the freezing air-conditioning main machine in real-field operation and EER groupPractice ofIs calculated as follows:
QEV＝h1-h4formula (1-1)
CF100＝(h1-h4)100÷RT100Formula (1-3)
RTLF＝(h1-h4)LF÷CFLFFormula (1-4)
kWLF＝QEV,LF*kW/RTLF(QEVUnit selected RT) type (1-5)
CF100,COP＝COP100 theory of÷COP100, practice ofFormula (1-6)
COPL F, practice＝COPL F, theory÷CFLF,COPThe formula (1-7).
9. The method of claim 8, wherein the EER variation trend of the main unit of the refrigerating air conditioner during real-time operation is obtained by performing analysis and comparison through a recursive law comparison method, which means that by calculating mathematical recursive law without error, a steady state EER value established by a non-fouling state of a complete day or a pickling day every year is defined as a current year reference value, a current day steady state value of 364 days later is defined as a current day operation value, and the operation value is divided by the reference value, so as to obtain the percentage of EER reduction trend of every day, every month, every season, and one year as an index for energy saving improvement; the trend displayed decreased in magnitude above that expected, and improvement immediately proceeded.
10. An intelligent measurement and verification system for the efficiency of a refrigerating and air-conditioning main machine is connected with various computers, electronic devices or handheld communication devices in a management platform, and dynamic and steady EER sets of each temperature load in the real-field operation of the refrigerating and air-conditioning main machine are constructed: including theoretical and actual values, comparisons thereof, and host capabilities, energy consumption and fouling values; it is characterized in that the system comprises:
at least one memory and a processor, wherein:
the internal memory at least stores the temperature, pressure, enthalpy and entropy of the refrigerant, and the rated capacity and EER group of the refrigerating and air-conditioning main machineRated value；
The processor is connected with the memory and at least comprises: the corresponding unit comprises a receiver for receiving the condensation and evaporation temperature or pressure of the refrigerant or the temperature set at the inlet and outlet of the cooling water and the ice brine; or the condensing and evaporating temperature or pressure of the refrigerant, or the temperature of the inlet and outlet of the cooling water and the ice brine are input manually; the condensation and evaporation temperature or pressure corresponds to the temperature, pressure, enthalpy and entropy stored in the memory, and the dynamic EER group of each temperature load in the real-field operation of the main machine of the refrigeration air conditioner is obtained through a calculation formula and then stored, or the dynamic EER group is directly input for storage;
the analysis and comparison unit eliminates the load ascending/load descending data in the dynamic EER group to obtain a steady-state EER group; then comparing dynamic and steady EER groups to obtain the capability, energy consumption and fouling value of the main machine.
11. The system of claim 10, wherein the dynamic EER group is obtained by calculating the steady-state EER group by using a non-specific percentage range calculation formula, i.e. an average value method and a thermal balance value method; the average value method is that the dynamic EER group which specifies all the temperature loads of each continuous day and runs in real field is calculated for several times to obtain the average value within the range of less than 10 percent; or the EER of the initial average of each temperature load dynamic EER group of the appointed continuous days is removed after the EER with the error of 25 percent is removed, the average value is calculated to be the second EER, the range is respectively reduced to 10 percent and 5 percent to be the third EER and the fourth EER, and the fourth EER is the steady state EER; the thermal balance value method is that the thermal balance value of each dynamic EER group in the real-field operation of all data loaded by each temperature on specified continuous days is lower than the range of 10% for more than 2 times continuously every at least 3 minutes; or calculating the heat balance value, namely calculating the heat balance value by continuously more than 2 times at intervals of at least 3 minutes every time, and determining the EER as a steady state value if the EER is determined to be a steady state value; the steady state EER group is defined as a reference value or an operation value according to the selected day, the original data of the reference value and the operation value are taken as steady state data, and the removed original data are all taken as unsteady state data;
corresponding to enthalpy value and entropy value and calculating to obtain dynamic EER groupThe formula for calculating the corresponding relationship is to calculate the values of each temperature load in the real-time operation of the refrigerating and air-conditioning main unit, for example: the condensation and evaporation temperature of the refrigerant or the cooling water and ice brine outlet water temperature close to the condensation and evaporation temperature of the refrigerant are used for obtaining the corresponding enthalpy values h1-h4 according to the temperature, pressure, enthalpy value and entropy value of the refrigerant stored in the memory, the rated capacity and EER set rating of the refrigerating and air-conditioning main machine, and then the dynamic EER set in the real-field operation is obtained through the conversion of the following calculation formula stored in the memoryTheory of the invention：
COP＝(h1-h4)/(h2-h1) Formula (1)
EER 0.86 COP (EER unit kcal/W-h) formula (2)
QEV＝h1-h4Formula (1-1)
LF＝QEV/QEV,100100% of formula (1-2)
kW/RT 3.516/CO type (3)
kW＝QEV*3.516/COP (QEVUnit selected RT) type (3-1)
The calculator is further provided with a calculation formula for obtaining the energy consumption rate of each operating temperature load, the calculation formula divides the gas state enthalpy value h1 and the liquid state enthalpy value h4 of each saturated refrigerant of the refrigerating and air-conditioning main machine in real-field operation by the tonnage of the refrigerating and air-conditioning main machine, converts the tonnage of each saturated refrigerant by the difference between a theoretical value and an actual value, and obtains the capacity of each operating temperature load by utilizing an interpolation methodPractice ofEnergy consumptionPractice ofThe calculation formula is as follows:
QEV＝h1-h4formula (1-1)
CF100＝(h1-h4)100÷RT100Formula (1-3)
RTLF＝(h1-h4)LF÷CFLFFormula (1-4)
kWLF＝QEV,LF*kW/RTLF(QEVUnit selected RT) type (1-5)
The fouling value contained in each numerical value of each stroke of the real-time operation of the refrigerating and air-conditioning main machine can be obtained by the water flow, the water specific heat, the temperature difference between inlet water and outlet water and the like of the condenser capacity or the refrigerating and air-conditioning capacity, a calculation formula is stored in the memory, and the calculation formula is converted by the calculator, namely, the fouling value of the real-time operation is obtained by the following calculation formula:
Q＝m*Cp*ΔT＝UA*ΔTLMformula (4)
ΔTLMThe logarithmic mean temperature difference (L MTD for short) is calculated as follows:
ΔTLM＝(ΔT1－ΔT2)/(lnΔT1－lnΔT2) Formula (4-1)
COP＝QEVkW type (4-2)
ΔTLM＝LMTD＝QCOND/(UA)CONDFormula (4-3)
ΔLMTD＝Q/(UA)F－Q/(UA)CFormula (4-4)
ΔLMTD＝QK[1/(UA)F－1/(UA)C]Formula (4-5).
12. An intelligent measurement and verification method for the efficiency of a refrigerating and air-conditioning host machine is characterized in that an electronic device comprises a P L C programmable controller, an HMI human-machine interface, an IO input-output processor, a Pad tablet computer and a computer, a database for storing the temperature, pressure and enthalpy of a refrigerant, an entropy value, the rated capacity, the rated current or energy consumption and the energy consumption rate of the refrigerating and air-conditioning host machine is built in, and the condensation and evaporation temperatures or pressures of the real-field operation of the refrigerating and air-conditioning host machine are input to obtain a dynamic EER group, and the method comprises the following steps:
temperature, pressure, enthalpy and entropy of the stored refrigerant, and rated capacity and EER set of the main machine of the refrigerating air conditionerRated value；
Establishing a corresponding relation between saturated gaseous and liquid enthalpy values and entropy values of refrigerant condensation and evaporation temperature and pressure based on the operation of refrigeration air-conditioning cycle, wherein the corresponding relation comprises the enthalpy value of the entropy value during compression, the enthalpy value of isobaric isothermal and isothermal liquid state during condensation and the enthalpy value during expansion; and the liquid state changes the gas state when evaporating, isobaric and isothermal enthalpy value;
inputting each value of each temperature load in the real-time operation of the refrigerating and air-conditioning main machine, for example: the condensation and evaporation temperature or pressure of the refrigerant, or the outlet water temperature of cooling water and ice brine with the temperature close to the condensation and evaporation temperature of the refrigerant are used for replacing the condensation and evaporation temperature of the refrigerant, and the numerical values correspond to the corresponding relationship of the enthalpy values and the entropy values of the saturated gas state and the liquid state of the established condensation and evaporation temperature and pressure of the refrigerant, so as to obtain the enthalpy value and the entropy value corresponding to the saturated gas state and the liquid state in each temperature load; and
and calculating the enthalpy value and entropy value to obtain the dynamic EER group.
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| CN101881498A (en) * | 2009-05-06 | 2010-11-10 | 欧威尔空调(中国)有限公司 | Multiple connected air conditioning system and control method thereof |
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