CN111413115B - 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 PDF

Info

Publication number
CN111413115B
CN111413115B CN201910015856.9A CN201910015856A CN111413115B CN 111413115 B CN111413115 B CN 111413115B CN 201910015856 A CN201910015856 A CN 201910015856A CN 111413115 B CN111413115 B CN 111413115B
Authority
CN
China
Prior art keywords
value
eer
temperature
formula
air
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201910015856.9A
Other languages
Chinese (zh)
Other versions
CN111413115A (en
Inventor
陈主福
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Individual
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Priority to CN201910015856.9A priority Critical patent/CN111413115B/en
Publication of CN111413115A publication Critical patent/CN111413115A/en
Application granted granted Critical
Publication of CN111413115B publication Critical patent/CN111413115B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M99/00—Subject matter not provided for in other groups of this subclass
    • G01M99/008—Subject matter not provided for in other groups of this subclass by doing functionality tests
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M99/00—Subject matter not provided for in other groups of this subclass
    • G01M99/005—Testing of complete machines, e.g. washing-machines or mobile phones
    • 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
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P80/00—Climate change mitigation technologies for sector-wide applications
    • Y02P80/10—Efficient use of energy, e.g. using compressed air or pressurized fluid as energy carrier

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Air Conditioning Control Device (AREA)

Abstract

The invention provides an intelligent measurement and verification method for the efficiency of a refrigerating and air-conditioning mainframe and a system thereof, the method constructs a dynamic EER group for the real-field operation of the refrigerating and air-conditioning mainframe through a computer (comprising a PLC (programmable logic controller), an HMI (human machine interface), an IO (input/output) processor and a Pad tablet computer …), and the dynamic EER set value of each dynamic EER running in the refrigerating and air-conditioning main machine on the spot is calculated by adopting a calculation formula within a non-specific percentage range, by means of average value method, heat balance value method (CNS tolerance method, AHRI tolerance method and variation value method), the unsteady EER of load raising/load lowering is calculated out to obtain steady EER group so as to obtain EER analysis and comparison and variation trend of main refrigerating and air conditioning unit in real-field operation, the system provided by the method provides real-time energy consumption information for displaying the main machine of the refrigeration air conditioner, and achieves the energy-saving effect of quickly and effectively evaluating the improvement of the scale deposit.

Description

Intelligent measurement verification method and system for host efficiency of refrigeration air conditioner
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 a system thereof for evaluating the real-site operation efficiency of a main machine of a refrigeration air conditioner (comprising a refrigeration and cold storage device, a box type machine, a main machine of ice water, a brine ice maker and a device for conveying cold energy by utilizing refrigerant refrigeration by a heat pump … or a device suitable for the refrigeration air conditioner principle), and the intelligent measurement and verification method and the system thereof can provide rapid energy-saving and improved results.
Background
In recent years, global climate change caused by greenhouse effect is more remarkable, energy saving and carbon reduction are continuously responded internationally, and various countries constantly pay attention to discharge control of electricity and greenhouse gas by blowing to various industries, in particular to a refrigeration air-conditioning host machine with large electricity consumption. The standard of running energy conservation is determined in China, and the operation key points of energy conservation detection are determined, however, evaluation of energy conservation of a refrigeration air-conditioning main machine is not obvious for a long time, and the refrigeration air-conditioning main machine does not substantially help to improve energy conservation, and the main phenomena of the refrigeration air-conditioning main machine are as follows:
the economic departure from taiwan in china was introduced into the refrigeration and air-conditioning industry in 1961, and it was known: EER groups (COP, EER, kW/RT) must be meaningful along with water temperature load conditions, and for EERs to be compared with each other must meet (1) all at the same water temperature load; (2) the same conditions are all steady state values, i.e. the comparison of the load EER at different water temperatures is meaningless. Unfortunately, the steady state value technique has not been broken through for many years, so that improvement of the EER of the main engine cannot be carried out in time. Before 2011 green base, although "energy saving regulation specification: the Logarithmic Mean Temperature Difference (LMTD) of the evaporator and the condenser of the ice water main machine is not higher than 5 ℃, but the air conditioner industry objections because only a mathematical calculation formula is adopted and no specific method is provided.
Disclosure of Invention
The invention provides an intelligent measurement and verification method for the efficiency of a main machine of a refrigeration air conditioner, which utilizes a built-in database for storing the temperature and enthalpy values and entropy values of a refrigerant, the rated capacity and the energy consumption rate of the main machine of the refrigeration air conditioner, applies the circulation principle of the refrigeration air conditioner and applies a mathematical transfer law comparison method to automatically analyze and compare the condensation, evaporation temperature or pressure and EER groups of the real-field operation of the main machine of the refrigeration air conditioner and provides the measured energy consumption of the main machine of the refrigeration air conditioner so as to effectively evaluate the real-field operation efficiency of the main machine of the refrigeration air conditioner and achieve the effect of having 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 and with 1000 different temperature loads are totally calculated within the temperature load range of 80-90% at the temperature of 28-29 ℃; 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 the spring, summer, autumn and winter, in the morning, afternoon and evening at night, and the practicability of high industrial value is obvious.
The present invention provides an intelligent measurement and verification system for the efficiency of a main unit of a refrigeration and air-conditioning system, which pre-stores the rated capacity and energy consumption rate data of the main unit of the refrigeration and air-conditioning system by a management platform, and analyzes and compares the energy consumption rate values of the main unit of the refrigeration and air-conditioning system in real-time operation by a processor, 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.
In order to achieve the above object, the present invention provides a method for intelligently measuring and verifying the efficiency of a main unit of a refrigeration air conditioner, 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 generally indicate theory and actual) of the refrigeration and air-conditioning main machine real field operation is constructed through a computer (comprising a PLC programmable controller, an HMI human-machine interface, an IO input and output processor and a Pad tablet computer …), the numerical value (comprising the theoretical value and the actual value) of each dynamic EER set of each temperature load in the refrigeration 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 of load increase/load decrease is removed through calculation to obtain a 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 and entropy of refrigerant, and the rated capacity and EER set of the main machine of refrigerating and air-conditioningRated valueAnd a calculation formula of the corresponding relation between the enthalpy value and the entropy value of the saturated refrigerant gas and the liquid state of the condensation and evaporation temperature or pressure; the processor is connected with the memory and at least comprises a 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 host machine, can sense each numerical value of each stroke of the real-site operation of the refrigerating and air-conditioning host machine, the condensation and evaporation temperature of a refrigerant or the temperature of the cooling water and the temperature of the ice brine, and the receiver receives each numerical value of each stroke and corresponds to the corresponding relation between the condensation, evaporation temperature and pressure of the saturated refrigerant gas state and liquid state corresponding enthalpy value and entropy value established by the memory to obtain the corresponding gas state and liquid state enthalpy value of the saturated refrigerant 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 in gas and liquid states via 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 inventionThrough conversion, the EER group is obtainedIn factSo as to obtain the EER variation trend of the main refrigerating and air-conditioning unit in real-time operation or the capability of the main refrigerating and air-conditioning unit. The transmission device is provided with an identification interface and a display interface, and adopts wired or wireless transmission such as: bluetooth, Wifi or assigned identification name, and the dynamic and steady EER groups are changedThe trend, or the capability of the refrigerating and air-conditioning main machine in real-time operation, is transmitted and displayed 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 (2) is to use the calculation formula of unspecified percentage range to calculate the EER elimination of load-up/load-down by means of average value method, heat balance value method (CNS allowance method, AHRI allowance method, variation value method).
Other functions and embodiments of the present invention will be described in detail 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 refrigeration air-conditioning host 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 the conversion dynamics and the steady state for the EER set containing theoretical values and actual values according to the present invention.
Description of the symbols
1 management platform 2 memory
3 processor 4 transmission device
5 computer screen 6 hand-held communication device screen
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 pressure, enthalpy value and entropy value of a refrigerant, and the rated capacity and EER groups of the refrigeration air-conditioning host machineRated 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 cycle 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 temperature or the evaporation temperature or the pressure of a refrigerant of the refrigerating air-conditioning host machine or the numerical values of instruments arranged at the inlets and the outlets of cooling water and ice brine are copied and stored by manual input; in another embodiment, the dynamic EER set is stored by using the temperature or pressure sensed by the sensor to be installed and the receiver online, and the steady-state EER set is calculated by using the non-specific percentage range calculation formula, and the EER of the load-up/load-down is removed by the average value method and the thermal equilibrium value method (CNS tolerance method, AHRI tolerance method, and variation value method) through calculation.
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 (the CNS tolerance method, the AHRI tolerance method, the variation value method) for each saturated refrigerant gas and liquid 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 main refrigerating air conditioner in real-field operation can be obtained. The trend can be represented by characters, tables and curves before and after the improvement of energy saving or according to the change of EER groups of days, weeks, months, seasons and years.
Referring to fig. 2 and fig. 3, the relationship between the saturated vapor and liquid enthalpies and entropy values of the refrigerant condensation and evaporation temperatures and pressures is established according to the present invention by using the Mollier Chart (Mollier Chart) of the refrigeration and air-conditioning cycle principle, wherein the compression (T1 → T2) is an isentropic process, and the condensation (T2 → T3) is an isobaric pressure (P2: P3: P) for changing the vapor state to the liquid state according to the Mollier ChartC) Isothermal process (T2 ═ T3 ═ Tc, T2' is refrigerant saturated gas point), expansion (T3 → T4) is adiabatic isenthalpic process, and evaporation (T4 → T1) is liquid to gas isobaric (P4 ═ P1 ═ P4)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 intersection of the condensing pressures is determined as an enthalpy h3 from the liquid refrigerant condensing temperature Tc, and further as an enthalpy h4(═ enthalpy h 3). Based on the principle of Morie plot cycle operation, the program in the processor 3 described below can be calculated according to the condensing and evaporating temperatures or pressures, and the EER set value is finally obtained (note: the enthalpy value h1 in the prior art Taiwan patent No. I327212 is obtained by measuring the evaporator outlet temperature T1, the enthalpy value h2 is obtained by measuring the compressor outlet temperature T2, and the enthalpy values h1 and h2 of the present invention are obtained by the above-mentioned program without the need for two temperature meters, which are different). The refrigerant temperature is stored in the memory of the invention from-200 deg.C to +60 deg.C physical property establishing database, including 5 items of data of temperature, pressure, enthalpy (liquid state), enthalpy (gas state) and entropy, that is, the enthalpy and entropy of each saturated refrigerant gas state and liquid state of the freezing air-conditioning main machine in the real-field operationAll are accessed into the memory of the present invention by scaling, the calculation process has non-integer temperature and also is scaled by interpolation, the dynamic EER set calculation formula in real-time operation 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 (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)
LF: and (4) loading.
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 steady-state EER, the calculation of the unspecified percentage range is 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 field operation of all temperature loads of the specified continuous days, namely, according to the dynamic EER group of each temperature load, the EER in the ranges of 25%, 10% and 5% is obtained by several times of calculation, namely, the steady-state EER can be obtained, in the word, the dynamic EER group is respectively calculated to be the second EER according to the EER of the initial average of each temperature load condition after eliminating the EER with the error of 25%, then the range is respectively reduced to 10%, 5% to be the third EER and the fourth EER, the steady-state EER is obtained, and according to the selected day reference value and the operation 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 change value method, which are non-constant heat balance value methods, can also calculate the steady state value, and the following calculation methods are tried:
CNS tolerance method: after stabilization according to CNS 12575 regulation (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 thermal equilibrium values were equal to or less than the allowable value, the pen was set 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: CNS 12575 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 ×% FL + (833.3/(DT)FLX% FL)) formula (6)
Wherein: % FL: percentage of load
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 10.5-0.07X% FL + (833.3/(DT X% FL)) 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 DTFL5.0 ℃ and AHRI tolerance method by DTFLThe calculation of equation (6) with a change DT and equation (6-1) is substituted for 5.6 ℃ ═ 10 ° f, as shown in the seven loads below. In practice, the main refrigerating and air-conditioning unit rarely operates under 40% load, and the results are shown in tables one to three below.
Table I by DTFLTolerance of the results was calculated at a constant value of 5.0 ℃ (CNS tolerance method)
％FL ％ 100 80 60 40 30 15 10
DTFL ℃ 5.0 5.0 5.0 5.0 5.0 5.0 5.0
Result of the tolerance calculation ％ 5.17 6.98 9.08 11.87 13.96 20.56 26.47
Tolerance 2 times value ％ 10.34 13.96 18.16 23.74 27.92 41.12 52.93
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 the approximate integer values of the calculation results corresponding to the first two tables as shown in the table, and calculates the tolerance of the loads not listed in the table according to the 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 table three approach integer values are also within the practice of the invention. The present invention can select the stability of operation according to individual case, the interval with good stability can select longer 30, 40, 50, 60 minutes, one stroke per minute, 31, 41, 51, 61 strokes, to obtain the steady state value. The general value can be selected for 10 minutes, and the numerical factor is 12, 5, the interval number (number of strokes) is 10(11), 5(6), 2 (3); the interval with worse stability is selected for 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 scale value can be obtained by the water flow, the water specific heat and the temperature difference between inlet water and outlet water of the condenser capacity or the refrigerating and air-conditioning capacity, namely, the scale value of the real-field operation is obtained according to the following formula, and the scale value can directly show the change degree caused by the scale of each refrigerating and air-conditioning main machine:
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
ΔTLM: for the logarithmic mean temperature difference (LMTD for short), the calculation formula is 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]Is a fouling value, Δ LMTD is the fouling value name; under 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 ratio of the two days are the difference value and the ratio, namely, the steady-state value of the finished day or the pickling day per year is taken as the reference value of the current year, the steady-state value of the later 364 days is taken as the running value of the current day, the running value is divided by the reference value to obtain the trend percentage of the reduction of the EER of each day, each month, each season and one year, and the trend reduction amplitude displayed is higher than expected, and the EER is immediately improved, so that the method is called a transfer law comparison method; or establishing a contract improvement magnitude and verifying that the improvement result meets the expectation …. Taking the comparison of EER per month and 1 day as an example, the comparison percentage value was obtained by dividing the value of the difference between the value of the COP operation at 29 ℃ 90% load at 7 month and 1 day by 4.95 of the COP operation at 29 ℃ 90% load point at 8 month and 1 day by 4.95/5.28 or 93.75%. 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 established, the contract requirement is not lower than 95% or 90%, and when the contract is established, the energy-saving improvement rate is lower than the contract; when the latter is formulated, the energy-saving improvement rate conforms to the contract, and if so, the invention can provide a standard value for formulating the energy-saving improvement trend for users.
The refrigerating air-conditioning main machine operated in real field can calculate the steady state EER group by the inventionTheory of the inventionSo as to match the stored rated capacity and EER set of the refrigeration and air-conditioning main machineRated valueThrough conversion to obtain EER setPractice ofThe calculation method can further calculate the temperature of the main machine of the refrigeration air conditioner in real-time operation by analyzing and comparing through a transition law comparison methodCapacity and energy consumption, i.e. the enthalpy (h) of the gas and liquid state of each saturated refrigerant of the refrigerating and air-conditioning main unit 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:
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)
CF in the above formula100、RT100The subscript 100 of the value indicates 100% of the rated load; RT (reverse transcription)LF、CFLF、kWLFThe capacity, conversion factor, and energy consumption of the load LF are respectively. According to h on the Morie line diagram of FIG. 31、h4Corresponding to the division of tonnage of host machine, i.e. (h1-h4)100÷RT100Value, obtaining the conversion ratio of the host, the CF100Referred to as the scaling factor 100. For example: the new main machines of the refrigerating and air-conditioning all have factory data, wherein the RT with 100%, 75%, 50% and 25% of IPLV integrative partial load of CNS 12575100、RT75、RT50、RT25The values (or kCal/h, BTU/h) correspond to h on the Morie plot1、h4Q of (2)EVThe value is given by the formula (1-3) to obtain four conversion coefficients 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 interpolation method is used to obtain the CF of each operation temperature load calculation resultLFAnd is represented by the formula (1)-4) deriving the capacity (tons) RT of the load LFLFIn short, the capacity and energy consumption of the main machine of the refrigerating and air-conditioning system in real-time operation are calculated by the above calculation formula.
Moreover, the invention provides the EER verification and analysis for the effect evaluation of energy conservation and scale prevention, if the existing host machine lacks three RT and kW values of 75%, 50% and 25% of IPLV integrated partial load, namely only RT is provided100、kW100When it is, then use CF100Substitute for CF75、CF50、CF25Even each load CFLFCapacity 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 between the two is that the subscript 100 is only changed to LF of the actual load to represent (COP, EER, kW/RT)LF 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 followsLF theory&CFLF,COP) The COP can be calculated from the formula (1-6)LF, practice. The distance between two curves of EER group theory and actual binary value 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 both 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)LF, practiceObtained by the following formula (1-7), formula (2) and formula (3). Thus, the application range of the invention can be expanded to improve the energy conservation of the existing host.
COP100, principle ofTheory of the invention＝[(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)
COPLF, practice＝COPLF theory÷CFLF,COPFormula (1-7)
In the above formula RT100、COP100、CF100Subscripts of (2)100This value represents the rated load at 100%; COPLF,Theory of the inventionAnd COPLF, practiceThe theoretical and actual COP of LF is loaded for each operating temperature.
In summary, referring to FIG. 4, the EER set, the theoretical values of energy consumption and capacity, and the actual values obtained from the Morie chart (Mollierchart) of the principle of the refrigeration-air-conditioning cycle are two axes separated by the conversion factor CFLFCalculating the formula as above; 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 tolerance method, an AHRI tolerance 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 only when scientific requirements are met.
Fig. 2 is a block flow diagram of an intelligent measurement and verification system for the efficiency of a refrigeration and air-conditioning host according to the present invention, which is constructed in a management platform by the method of the present invention, and the management platform can be connected to a computer or a handheld communication device for information transmission, where 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 a calculation formula of the corresponding relation between the vapor state and the liquid state of the saturated refrigerant with condensing and evaporating temperature or pressure, that is, the temperature, pressure, enthalpy and entropy of the refrigerant stored in the memory 2 are compressed → condensed → expanded → compressed by the refrigeration air conditionerThe circulation operation of evaporation is taken as a reference, and a corresponding enthalpy relation between the gas state and the liquid state of a saturated refrigerant with condensation and evaporation temperature and pressure is established, wherein the corresponding enthalpy relation comprises an enthalpy value during compression, an enthalpy value during gas state change liquid state isobaric and isothermal during condensation and an enthalpy value during expansion; and the liquid-state to gas-state isobaric and isothermal enthalpy values during evaporation, and obtaining 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 the dynamic EER group of each temperature load in the operation of the main machine of the refrigerating and air-conditioning system in the real field is obtained by a calculation formula and then stored, or directly input into the dynamic EER group 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. The EER set of each operating temperature load is obtained by the calculation formula disclosed abovePractice 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 host during the real-world 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, compared with the temperature sensor (unable to obtain the steady state value) with 5 positions disclosed in the prior art, the present invention can improve the social acceptance, and uses the outlet water temperature of the cooling water and the ice brine running on the real field to replace the condensation and evaporation temperature of the refrigerant as the sensing, thereby enlarging the used objects, and calculating the dynamic and steady state EER group, and the obtained value has considerable accuracy, so as to further pass the verification and analysis technology, can rapidly and effectively evaluate the energy saving effect of the scale deposit improvement, thereby (1) reducing the labor cost, (2) avoiding the manual calculation and table look-up errors, and (3) reducing the annoying psychological obstacles caused by the complexity, (4) the EER data which are established conform to relevant regulations are greatly improved, energy-saving work is promoted, and high-level technology is used for driving energy-saving value on EER steady-state values and comparative analysis of the EER steady-state values.
In summary, the present invention provides an intelligent measurement and verification method and system for host efficiency 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 modifications and variations are according to the present invention, that is, the intelligent measurement and verification method for host efficiency of a refrigeration air conditioner according to the present invention comprises the following steps: storing the program and the calculation formula in a CD or DVD disk or a portable disk; or the system of the invention is replaced by programs written by various languages, macroinstructions, electronic devices APP and the like of the computer; 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 the continuous operation is changed from 5 minutes every time to more than or less than 5 minutes, so as to obtain a change that the thermal equilibrium value of at least 3 pens is ≦ the tolerance value, which 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 (8)

1. An intelligent measurement and verification method for the efficiency of a refrigeration air-conditioning host is characterized in that the method comprises the following steps of: the system comprises a PLC (programmable logic controller), an HMI (human machine interface), an IO (input/output) processor, a Pad tablet computer and a computer, and a dynamic EER group for constructing each temperature load in the real-field operation of a refrigeration air-conditioning main machine comprises: theoretical value and actual value, and the number of each dynamic EER group of the refrigerating and air-conditioning main machine running in real field is calculated by adopting a calculation formula with a non-specific percentage range to eliminate the EER of load ascending/load descending so as to obtain a steady state EER group;
the calculation formula of the nonspecific percentage range is a calculation formula of an average value method and 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 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;
the dynamic EER group construction of the refrigeration air-conditioning main machine real-field operation is characterized in that the operation of refrigeration air-conditioning circulation is taken as a reference, and the corresponding relation of the saturated gaseous state and liquid state enthalpy values of refrigerant condensation, evaporation temperature and pressure is established, wherein the corresponding relation comprises the enthalpy value of the entropy value during compression, the constant-pressure and constant-temperature enthalpy value of the gaseous state to the 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; and each numerical value of the refrigeration air-conditioning main machine real-field operation, 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 temperature replaces the condensation and evaporation temperature of the refrigerant, and each numerical value corresponds to the corresponding relation of 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 a dynamic EER group;
after the steady state EER group is obtained by calculation of non-specific percentage range, the steady state EER group is further connected with the rated capacity of the stored refrigeration air-conditioning main machine and the stored EER groupRated valueThe capacity and the energy consumption of the main machine of the freezing air conditioner in real-time operation can be further calculated by analyzing and comparing through a transition law comparison method;
analyzing and comparing to obtain the EER variation trend of the freezing air conditioner host in real-field operation by a recursion law comparison method, namely calculating by mathematical recursion law without error, setting a steady state EER value established by a non-fouling state on a complete day or a pickling day every year as a current annual reference value, setting a daily steady state value on a later 364 days as a current daily operation value, and dividing the operation value by the reference value to obtain the EER reduction trend percentage of every day, every month, every season and one year as an index for improving energy saving; the trend displayed decreased in magnitude above that expected, and improvement immediately proceeded.
2. The method of claim 1, wherein the averaging is performed several times by removing the EERs of the dynamic EER group for each temperature load on the specified consecutive days except for an error of 25%, calculating the average value as the second EER, and then reducing the range to 10% and 5% as the third and fourth EERs, respectively, the fourth EER being a steady-state EER and being selected as a reference value or an operation value, and listing the original data of the reference value and the operation value as steady-state data, and the original data removed from the first EER to the third EER are all listed as non-steady-state data; the heat balance value is equal to or less than the tolerance value, and the tolerance value is determined as a steady state value by adopting 3 times of equal to or less than the tolerance value continuously for 2 times at intervals of 5 minutes every time.
3. 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 sensed, the dynamic EER set storage is obtained by connecting the temperature or pressure sensed by the sensor to the receiver.
4. The method as claimed in claim 1, wherein the enthalpy and entropy values of the saturated refrigerants in the gas and liquid states for each temperature load of the main refrigerating and air-conditioning unit during real-time operation are calculated, 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 is 0.86 COP type (2)
QEV＝h1-h4Formula (1-1)
LF＝QEV/QEV,100100% of formula (1-2)
kW/RT 3.516/COP type (3)
kW＝QEV3.516/COP type (3-1)
kW is power consumption, QEVThe system comprises a main machine, a refrigerating and air-conditioning system, a power supply, an Energy Efficiency Ratio (EER), a power consumption rate (kW/RT), enthalpy values (h1, h2 and h4), wherein the Energy Efficiency Ratio (EER) is an energy efficiency ratio, and the energy consumption rate (kW/RT) is an enthalpy value.
5. The method of claim 1, 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, water specific heat, and temperature difference between inlet water and outlet water of the condenser capacity or the refrigerating and air-conditioning capacity, that is, the fouling value of the real-time operation is obtained according to the following formula:
Q＝m*Cp*ΔT＝UA*ΔTLMformula (4)
ΔTLM: the logarithmic mean temperature difference was 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)
Q is condenser capacity or refrigerating air-conditioning capacity, m is cooling water or ice brine flow, Cp is specific heat of water, U is total heat transfer coefficient, A is heat transfer area, delta TLMAnd LMTD is the logarithmic mean temperature difference, kW is the energy consumption, QEVFor operating refrigerating and air-conditioning capacity, the COP is the main unit performance coefficient of the refrigerating and air-conditioning, and the delta T1＝Tcond－TCWE，ΔT2＝Tcond－TCWLTcond the condensation temperature of refrigerant, TCWE、TCWLThe temperature of the cooling water is the water inlet temperature and the water outlet temperature; said QCONDHeat discharged to the cooling water for the condenser; the (UA)FFor heat transfer values after fouling, said (UA)CIs a clean, non-fouled heat transfer value, and the Δ LMTD is the fouling value; under the same load, the Q and the QKIs a constant.
6. The method as claimed in claim 1 or 2, wherein the enthalpy h of the saturated refrigerant gas and liquid states of each evaporator of the main refrigerating and air-conditioning unit in real-field operation is measured and verified1、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 main refrigerating air conditioner in real-field operation and further calculate the capacity or consumption of the main refrigerating air conditioner in real-field operationEnergy, 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/RTLFFormula (1-5)
CF100,COP＝COP100 theory of÷COP100, practice ofFormula (1-6)
COPLF, practice＝COPLF theory÷CFLF,COPFormula (1-7)
The RT is frozen ton, the CF100、RT100The subscript 100 of the values indicates the rated load 100%; the RT isLF、CFLF、kWLFThe enthalpy values of h1 and h4 are the capacity, conversion coefficient and energy consumption of the load LF.
7. 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(ii) a The processor is used for executing the intelligent measurement and verification method for the efficiency of the refrigerating and air-conditioning host machine according to any one of claims 1 to 6;
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.
8. The system of claim 7, wherein the dynamic EER set is eliminated from the load-up/load-down data, and the steady-state EER set is obtained 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 the heat balance value method is determined as a steady state value when the heat balance value is less than or equal to the tolerance value every 2 times continuously at intervals of at least 3 minutes; setting the selected stable EER group as a reference value or an operation value, and taking the original data of the reference value and the operation value as stable data, wherein the removed original data are all taken as non-stable data;
corresponding to enthalpy value and entropy value and obtaining dynamic EER set by calculation formula, wherein the calculation formula of corresponding relation is to make refrigeration air conditioner mainly useThe enthalpy value h corresponding to the temperature, pressure, enthalpy value and entropy value of the refrigerant stored in the memory, the rated capacity of the refrigerating and air-conditioning main machine and the rated EER group1To h4Then, the dynamic EER set in real-time operation is obtained by the following calculation formula conversion stored in the memoryTheory of the invention：
COP＝(h1-h4)/(h2-h1) Formula (1)
EER is 0.86 COP type (2)
QEV＝h1-h4Formula (1-1)
LF＝QEV/QEV,100100% of formula (1-2)
kW/RT 3.516/COP type (3)
kW＝QEV3.516/COP type (3-1)
kW is power consumption, QEVFor the running refrigerating and air-conditioning capacity, the LF is the load, the RT is the refrigerating ton, the COP is the performance coefficient of the refrigerating and air-conditioning host machine, the EER is the energy efficiency ratio, the kW/RT is the energy consumption rate, the h1, h2 and h4 are enthalpy values,
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/RTLFFormula (1-5)
The CF100、RT100The subscript 100 of the values indicates the rated load 100%; the RT isLF、CFLF、kWLFEach of which is the capacity, conversion factor, and energy consumption of the load LF,
the incrustation value contained in each numerical value of each stroke of the refrigerating and air-conditioning main machine in real-time operation can be obtained by the water flow, the water specific heat and the temperature difference between inlet water and outlet water of the condenser capacity or the refrigerating and air-conditioning capacity, a calculation formula is stored in the memory, and then the calculation formula is converted by the calculator, namely, the incrustation value of the real-time operation is obtained by the following calculation formula:
Q＝m*Cp*ΔT＝UA*ΔTLMformula (4)
ΔTLM: the logarithmic mean temperature difference was 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)
Q is condenser capacity or refrigerating air-conditioning capacity, m is cooling water or ice brine flow, Cp is specific heat of water, U is total heat transfer coefficient, A is heat transfer area, delta TLMAnd LMTD is the logarithmic mean temperature difference, kW is the energy consumption, QEVFor operating refrigerating and air-conditioning capacity, the COP is the main unit performance coefficient of the refrigerating and air-conditioning, and the delta T1＝Tcond－TCWE，ΔT2＝Tcond－TCWLTcond the condensation temperature of refrigerant, TCWE、TCWLThe temperature of the cooling water is the water inlet temperature and the water outlet temperature; said QCONDHeat discharged to the cooling water for the condenser; the (UA)FFor heat transfer values after fouling, said (UA)CFor cleaning and not foulingHeat transfer value, said Δ LMTD being the fouling value; under the same load, the Q and the QKIs a constant.
CN201910015856.9A 2019-01-08 2019-01-08 Intelligent measurement verification method and system for host efficiency of refrigeration air conditioner Active CN111413115B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910015856.9A CN111413115B (en) 2019-01-08 2019-01-08 Intelligent measurement verification method and system for host efficiency of refrigeration air conditioner

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910015856.9A CN111413115B (en) 2019-01-08 2019-01-08 Intelligent measurement verification method and system for host efficiency of refrigeration air conditioner

Publications (2)

Publication Number Publication Date
CN111413115A CN111413115A (en) 2020-07-14
CN111413115B true CN111413115B (en) 2022-05-31

Family

ID=71490720

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910015856.9A Active CN111413115B (en) 2019-01-08 2019-01-08 Intelligent measurement verification method and system for host efficiency of refrigeration air conditioner

Country Status (1)

Country Link
CN (1) CN111413115B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112629090A (en) * 2020-12-28 2021-04-09 上海能誉科技股份有限公司 Monitoring method, equipment and system of intelligent refrigeration equipment and computer readable storage medium

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101881498B (en) * 2009-05-06 2012-11-14 欧威尔空调科技(中国)有限公司 Multiple connected air conditioning system and control method thereof
CN102878639A (en) * 2012-09-13 2013-01-16 曙光信息产业(北京)有限公司 Automatic control method based on water-cooled air conditioner internal unit
CN104515245B (en) * 2013-09-26 2017-06-30 珠海格力电器股份有限公司 control method and device of air conditioning system
CN103868290B (en) * 2014-02-26 2016-05-18 大连冰山嘉德自动化有限公司 Based on the method for refrigeration efficiency ratio and degree of superheat control electric expansion valve
TWI628425B (en) * 2016-03-22 2018-07-01 新湧科技股份有限公司 Method for verification and analysis of energy efficiency ratio (EER) measurement of refrigerating air-conditioning mainframe
CN206387155U (en) * 2016-12-02 2017-08-08 欧志强 A kind of equipment that can improve air-conditioning Energy Efficiency Ratio
CN109084408A (en) * 2018-07-26 2018-12-25 宁波东源节能科技有限公司 Air-conditioning system efficiency on-line checking diagnositc analyser and method

Also Published As

Publication number Publication date
CN111413115A (en) 2020-07-14

Similar Documents

Publication Publication Date Title
US10678968B2 (en) Method of verifying and analyzing energy efficiency ratio EER of a heating ventilation and air conditioning HVAC chiller unit
Beghi et al. A multi-phase genetic algorithm for the efficient management of multi-chiller systems
US5083438A (en) Chiller monitoring system
CN109855238B (en) Central air conditioner modeling and energy efficiency optimization method and device
CN102042656B (en) Air-conditioning apparatus control device and refrigerating apparatus control device
Karampour et al. Energy efficiency evaluation of integrated CO2 trans-critical system in supermarkets: A field measurements and modelling analysis
CN101414321B (en) Design method for evaporation type cooler/condenser for chemical industry
CN106123218B (en) Operation parameter determination method and device for air conditioner and air conditioner
CN101319969A (en) Fast appraisement method and device for refrigeration quality of miniature compression type refrigeration apparatus
D'Agaro et al. Field tests, model validation and performance of a CO2 commercial refrigeration plant integrated with HVAC system
CN109000334A (en) A kind of preparation method of water chilling unit energy-saving control strategy
Wall Thermoeconomic optimization of a heat pump system
CN111413115B (en) Intelligent measurement verification method and system for host efficiency of refrigeration air conditioner
Franco et al. Thermal analysis and development of PID control for electronic expansion device of vapor compression refrigeration systems
Dingeç et al. Thermoeconomic optimization of simple refrigerators
TWI704319B (en) Intelligent measurement and verification method and system for efficiency of refrigerating and air-conditioning host
CN112146254A (en) Method for measuring refrigeration performance coefficient of water chilling unit and water chilling unit
CN101832689A (en) Method and system for controlling compressor
CN113375320B (en) Air conditioner control method, air conditioner, storage medium and device
CN116642262B (en) Intelligent management method and system for heat recovery of industrial air conditioner
CN100588883C (en) Energy cost analyzer for a refrigeration system
CN101672510B (en) Method for simulating and monitoring optimal operation of air-conditioning system
CN108595813B (en) A kind of CO2 gas cooler optimum design method based on optimum quality flow velocity
CN107506546A (en) Modeling method and simulation method of air conditioning system
US11131497B2 (en) Method and system for controlling the defrost cycle of a vapor compression system for increased energy efficiency

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant