CN116087613A - Reciprocating compressor energy efficiency calculation system - Google Patents

Reciprocating compressor energy efficiency calculation system Download PDF

Info

Publication number
CN116087613A
CN116087613A CN202310361716.3A CN202310361716A CN116087613A CN 116087613 A CN116087613 A CN 116087613A CN 202310361716 A CN202310361716 A CN 202310361716A CN 116087613 A CN116087613 A CN 116087613A
Authority
CN
China
Prior art keywords
energy efficiency
reciprocating compressor
compressor
formula
gas
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.)
Granted
Application number
CN202310361716.3A
Other languages
Chinese (zh)
Other versions
CN116087613B (en
Inventor
李瑞旺
孙洪利
胡炜
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.)
Ward Transmission Technology Tianjin Co ltd
Original Assignee
Ward Transmission Technology Tianjin Co ltd
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 Ward Transmission Technology Tianjin Co ltd filed Critical Ward Transmission Technology Tianjin Co ltd
Priority to CN202310361716.3A priority Critical patent/CN116087613B/en
Publication of CN116087613A publication Critical patent/CN116087613A/en
Application granted granted Critical
Publication of CN116087613B publication Critical patent/CN116087613B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R21/00—Arrangements for measuring electric power or power factor
    • G01R21/06—Arrangements for measuring electric power or power factor by measuring current and voltage
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Theoretical Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Computational Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • Algebra (AREA)
  • Power Engineering (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Operations Research (AREA)
  • Probability & Statistics with Applications (AREA)
  • Control Of Positive-Displacement Pumps (AREA)

Abstract

The invention discloses a reciprocating compressor energy efficiency computing system, which comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring electric data and state data of a reciprocating compressor; a calculation module for calculating the output power of the compressor according to the formula (1) for the electrical data,
Figure ZY_1
the method comprises the steps of carrying out a first treatment on the surface of the The compressor classification power is calculated from the state data according to (2),
Figure ZY_2
；
Figure ZY_3
the method comprises the steps of carrying out a first treatment on the surface of the Calculating the sum of the respective fractional powers of the reciprocating compressor according to the formulas (3) and (2), and then calculating the reciprocating power according to the formula (4)The energy efficiency value of the compressor is calculated,

Description

Reciprocating compressor energy efficiency calculation system
Technical Field
The invention relates to an energy efficiency computing system based on electric digital data processing, in particular to an energy efficiency computing system of a reciprocating compressor.
Background
The compressor is a driven fluid machine that lifts low pressure gas to high pressure gas and is the heart of the refrigeration system. Reciprocating compressors are a positive displacement compressor, which has a wide range of applications and many advantages. For example, the heat efficiency is high, the unit power consumption is low, the operation is very convenient, the manufacturing cost is low, and the whole device system is simple.
In an ideal state, the working efficiency of the reciprocating compressor is the rated power when in operation, and no working loss occurs. However, in actual use and operation, the actual working efficiency of the reciprocating compressor often cannot reach the rated power due to the influence of various factors such as on-site working conditions, the state of the equipment and the like, and certain power is wasted, so how to save energy and reduce consumption becomes a relatively important problem in the use process of the reciprocating compressor. Before researching energy conservation and consumption reduction, the current energy efficiency of the equipment needs to be known.
The Chinese patent document CN110362844B discloses a method for analyzing absolute energy efficiency and relative energy efficiency of a compressed air system, and aims to provide a method for analyzing absolute energy efficiency and relative energy efficiency of the compressed air system. For a compressed air system running in a single machine mode, measuring the gas yield and the corresponding running power of a single machine running compressor under the value state of the agreed gas flow; meanwhile, monitoring influencing factors when the compressor runs; defining the absolute energy efficiency of the compressor, and drawing the absolute energy efficiency of the compressor changing along with the running time and a numerical change curve of each influence factor in the same coordinate system; and according to the definition of the user side on the standard state of the gas, the influence on the absolute energy efficiency of the compressor is corrected by combining the monitoring results of all influence factors, and the absolute energy efficiency data of the compressor in the corresponding state is obtained. According to the invention, through absolute energy efficiency analysis under the corresponding state conditions, the actual unit consumption and the change rule of a given single machine under different production and environmental working conditions can be intuitively analyzed based on the corresponding chart form.
This prior art has the following disadvantages: in the prior art, when the operation energy efficiency is analyzed, the isothermal cooling effect is used as a reference, and then a second type of single machine relative operation energy efficiency model is constructed, so that in the analysis process, parameters involved in calculation also comprise the conversion power of the compressor under the corresponding load rate of isothermal cooling shaft power, and the analysis process is complicated.
The Chinese patent document CN201965614U also discloses a modeling system for calculating the energy efficiency of the fluid conveying equipment driven by a motor, which comprises an algorithm selection module, a parameter table module, an energy efficiency calculation modeling module and an energy efficiency calculation model processing module which are sequentially connected, and also comprises a database connected with the parameter table module, wherein the parameter table module comprises an input parameter table and an output parameter table; the algorithm selection module is used for selecting an algorithm for energy efficiency calculation according to the characteristics of the fluid conveying equipment; the energy efficiency calculation modeling module performs energy efficiency calculation modeling by utilizing parameters of the input parameter table according to the selected algorithm of energy efficiency calculation, so as to establish an energy efficiency calculation model, and returns the result of energy efficiency calculation to the output parameter table; an energy efficiency calculation model processing module uses one or more functions to correspond the established energy efficiency calculation model to the fluid delivery device. The system utilizes the energy efficiency calculation model to calculate, improves the efficiency of energy efficiency calculation, and provides an important means for energy efficiency management of fluid conveying equipment.
The prior art has the following defects: in the prior art, although conversion power under the corresponding load rate of isothermal cooling shaft power is not needed, more parameters need to be collected in the algorithm for calculating the energy efficiency disclosed in the prior art to participate in calculation, so that the settlement result error is larger, and the accuracy of a real-time analysis result is affected.
Disclosure of Invention
The invention provides a reciprocating compressor energy efficiency calculation system, which aims to solve the problem of large error of air efficiency calculation results in the prior art, wherein: the system comprises an acquisition module for acquiring electric data and state data of the reciprocating compressor; the electrical data includes voltage, current, and motor efficiency, and the status data includes inlet pressure, outlet pressure, inlet temperature, and inlet flow;
a calculation module for calculating the electrical data according to formula (1) to obtain the output power of the compressor,
Figure SMS_1
；
the compressor classification power is calculated from the state data according to equation (2),
Figure SMS_2
；
in the formulas (1) - (2), U is voltage, I is current,
Figure SMS_3
for load power factor, me is motor efficiency; i represents the corresponding class,/->
Figure SMS_4
Representing the power of each stage, se is the inlet state, calculated according to equation (3)>
Figure SMS_5
Represents the i-th stage inlet flow,/->
Figure SMS_6
Representing the compression ratio, which is equal to the outlet pressure of the ith stage divided by the inlet pressure of the ith stage, k representing the adiabatic index;
Figure SMS_7
；
in the formula (3), the amino acid sequence of the compound,
Figure SMS_8
represents the inlet temperature of the i-th stage;
calculating the total power of each stage of the reciprocating compressor according to the formula (3) and the formula (2), then calculating the energy efficiency value of the reciprocating compressor according to the formula (4),
Figure SMS_9
；
in the formula (4), CE is an energy efficiency value, cp represents a total power, and the total power is a sum of respective staged powers of the compressor.
Preferably, when the calculation module calculates, the voltage U takes the average value of the voltages at the time of three-phase balance, and the current I takes the average value of the currents at the time of three-phase balance. In the scheme, the accuracy of the calculation result is further improved by selecting the average value.
Preferably, the thermal insulation index table is pre-stored in the calculation module, and when the gas in the reciprocating compressor is single gas, the corresponding thermal insulation index is read from the thermal insulation index table according to the known gas composition and then calculated. Considering that the adiabatic index is fixed for a single gas, when the reciprocating compressor gas is the single gas, the method adopts a direct reading mode to calculate, so that the step of calculating is omitted, the calculation result can be obtained more quickly, and the calculation efficiency is improved.
Preferably, when the gas in the reciprocating compressor is a mixed gas, the adiabatic index of the mixed gas is calculated, according to the volume fractions of different gases contained in the gas and the corresponding adiabatic index, wherein the adiabatic index takes out a value corresponding to the inlet average temperature 330K. Considering that most of the gas in the reciprocating compressor is mixed gas under normal condition, in the scheme, the operation is simple according to the calculation of the volume fraction and the corresponding adiabatic index of different gases contained in the gas.
The invention has the following beneficial effects:
1. compared with the prior art, in the scheme, when the reciprocating compressor can be calculated, the motor output power can be calculated by voltage, current and motor efficiency, the actual power of the reciprocating compressor can be obtained by the inlet pressure, the outlet pressure, the inlet temperature and the inlet flow, then the energy efficiency value of the reciprocating compressor can be obtained by the ratio of the total sum of the grading powers to the motor output power, and the energy efficiency of the reciprocating compressor can be obtained by fewer parameters and fewer calculation steps.
Furthermore, considering that the accuracy of the parameters involved in the calculation affects the accuracy of the calculation result in the calculation process, and that the more the parameters involved in the calculation, the more the accumulated parameters affect the accuracy of the calculation result, one solution that is generally adopted to improve the accuracy of the calculation result is to reduce the error of each parameter. However, in the actual measurement process of the parameters, even if the acquisition device with extremely high precision is adopted, errors still exist, which means that the errors of the parameters are necessarily present, and the cost required by the acquisition device with extremely high precision is also increased.
2. In the invention, when the gas of the reciprocating compressor is single gas, the calculation is performed in a direct reading mode, so that the calculation step is omitted, the calculation result can be obtained faster, the calculation efficiency is improved, and when the gas of the reciprocating compressor is mixed gas, the calculation is performed according to the volume fractions and the corresponding adiabatic indexes of different gases contained in the gas, and the operation is simple.
Detailed Description
The following is a further detailed description of the embodiments:
1. definition:
the outlet pressure and the inlet pressure are all in units of
Figure SMS_10
。
2. Examples are essentially as follows: a reciprocating compressor energy efficiency computing system, wherein: the system comprises an acquisition module for acquiring electric data and state data of the reciprocating compressor; wherein the electrical data includes voltage U, current I and motor efficiency, and the status data includes inlet pressure, outlet pressure, inlet temperature and inlet flow.
The calculation module is pre-stored with an adiabatic index table; the electrical data is calculated according to equation (1) to obtain the output power of the compressor,
Figure SMS_11
；
the compressor classification power is calculated from the state data according to equation (2),
Figure SMS_12
；
in the formulas (1) - (2), U is voltage, the average value of the voltages in three-phase balance is taken, I is current, and the average value of the currents in three-phase balance is taken;
Figure SMS_13
for load power factor, me is motor efficiency; i represents the corresponding class,/->
Figure SMS_14
Representing the power of each stage, se is the inlet state, calculated according to equation (3)>
Figure SMS_15
Represents the i-th stage inlet flow,/->
Figure SMS_16
Representing the compression ratio, which is equal to the outlet pressure of the ith stage divided by the inlet pressure of the ith stage, k representing the adiabatic index;
Figure SMS_17
；
in the formula (3), the amino acid sequence of the compound,
Figure SMS_18
represents the inlet temperature of the i-th stage;
calculating the total power of each stage of the reciprocating compressor according to the formula (3) and the formula (2), then calculating the energy efficiency value of the reciprocating compressor according to the formula (4),
Figure SMS_19
；
in the formula (4), CE is an energy efficiency value, cp represents a total power, and the total power is a sum of respective staged powers of the compressor.
In the calculation process, when the gas in the reciprocating compressor is single gas, the corresponding adiabatic indexes are read from the adiabatic indication table according to known gas components and then calculated; when the gas in the reciprocating compressor is mixed gas, calculating the heat insulation index of the mixed gas according to the volume fraction of different gases contained in the gas and the corresponding heat insulation index, wherein the heat insulation index takes out the value corresponding to the average inlet temperature 330K.
The specific implementation process is as follows: the gas of the reciprocating compressor is exemplified in the following table. The design efficiency of the compressor was 89.35%.
Figure SMS_20
Obtaining adiabatic index of gas of reciprocating compressor according to the above table
Figure SMS_21
The acquisition module acquires a first-stage inlet temperature value of 30.90, a first-stage inlet flow rate of 11051, a first-stage outlet pressure of 3.844Mpa and a first-stage inlet pressure of 1.699Mpa, and calculates according to the first-stage outlet pressure and the first-stage inlet pressure
Figure SMS_22
。
Will be
Figure SMS_23
Carry-in (3) calculate +.>
Figure SMS_24
The method comprises the steps of carrying out a first treatment on the surface of the Then will->
Figure SMS_25
，
Figure SMS_26
，/>
Figure SMS_27
，/>
Figure SMS_28
Carry-in (2) give +.>
Figure SMS_29
。
Repeating the calculation process to obtain the power of the other cylinder, and adding the powers of the two cylinders to obtain the total power of the double-cylinder compressor, wherein the total power of the double-cylinder compressor is as follows: 666.79KW. And then calculating the output power of the motor according to the formula (1).
Figure SMS_30
Then will
Figure SMS_31
，/>
Figure SMS_32
Carry-in (4) to get +.>
Figure SMS_33
While the design efficiency of the compressor is 89.35%, the compressor is relatively close to the design efficiency of the compressor, and the compressor is in a normal operation stage.
The foregoing is merely an embodiment of the present invention, and a specific structure and characteristics of common knowledge in the art, which are well known in the scheme, are not described herein, so that a person of ordinary skill in the art knows all the prior art in the application day or before the priority date of the present invention, and can know all the prior art in the field, and have the capability of applying the conventional experimental means before the date, so that a person of ordinary skill in the art can complete and implement the present embodiment in combination with his own capability in the light of the present application, and some typical known structures or known methods should not be an obstacle for a person of ordinary skill in the art to implement the present application. It should be noted that modifications and improvements can be made by those skilled in the art without departing from the structure of the present invention, and these should also be considered as the scope of the present invention, which does not affect the effect of the implementation of the present invention and the utility of the patent. The protection scope of the present application shall be subject to the content of the claims, and the description of the specific embodiments and the like in the specification can be used for explaining the content of the claims.

Claims (4)

1. A reciprocating compressor energy efficiency computing system, characterized by: the system comprises an acquisition module for acquiring electric data and state data of the reciprocating compressor; the electrical data includes voltage, current, and motor efficiency, and the status data includes inlet pressure, outlet pressure, inlet temperature, and inlet flow;
a calculation module for calculating the electrical data according to formula (1) to obtain the output power of the compressor,
Figure QLYQS_1
；
calculating the compressor classification power according to equation (2),
Figure QLYQS_2
；
in the formulas (1) - (2), U is voltage, I is current,
Figure QLYQS_3
for load power factor, me is motor efficiency; i represents the corresponding class,/->
Figure QLYQS_4
Representing the power of each stage, se is the inlet state, calculated according to equation (3)>
Figure QLYQS_5
Representing the inlet flow rate of the i-th stage,
Figure QLYQS_6
represents compression ratio->
Figure QLYQS_7
Equal to the outlet pressure of the ith stage divided by the inlet pressure of the ith stage, k representing the adiabatic index;
Figure QLYQS_8
；
in the formula (3), the amino acid sequence of the compound,
Figure QLYQS_9
represents the inlet temperature of the i-th stage;
calculating the total power of each stage of the reciprocating compressor according to the formula (3) and the formula (2), then calculating the energy efficiency value of the reciprocating compressor according to the formula (4),
Figure QLYQS_10
；
in the formula (4), CE is an energy efficiency value, cp represents a total power, and the total power is a sum of respective staged powers of the compressor.
2. The reciprocating compressor energy efficiency computing system of claim 1, wherein: when the calculation module calculates, the voltage U takes the average value of the voltages in the three-phase balance, and the current I takes the average value of the currents in the three-phase balance.
3. The reciprocating compressor energy efficiency computing system of claim 2, wherein: and when the gas in the reciprocating compressor is single gas, the corresponding adiabatic index is read from the adiabatic index table according to known gas components and then calculated.
4. The reciprocating compressor energy efficiency computing system of claim 3, wherein: when the gas in the reciprocating compressor is mixed gas, calculating the heat insulation index of the mixed gas according to the volume fraction of different gases contained in the gas and the corresponding heat insulation index, wherein the heat insulation index takes out the value corresponding to the average inlet temperature 330K.
CN202310361716.3A 2023-04-07 2023-04-07 Reciprocating compressor energy efficiency calculation system Active CN116087613B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310361716.3A CN116087613B (en) 2023-04-07 2023-04-07 Reciprocating compressor energy efficiency calculation system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310361716.3A CN116087613B (en) 2023-04-07 2023-04-07 Reciprocating compressor energy efficiency calculation system

Publications (2)

Publication Number Publication Date
CN116087613A true CN116087613A (en) 2023-05-09
CN116087613B CN116087613B (en) 2023-06-30

Family

ID=86208649

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202310361716.3A Active CN116087613B (en) 2023-04-07 2023-04-07 Reciprocating compressor energy efficiency calculation system

Country Status (1)

Country Link
CN (1) CN116087613B (en)

Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102767529A (en) * 2012-07-11 2012-11-07 西安陕鼓动力股份有限公司 Calculation method for energy saving effect of axial flow compressor
CN102900660A (en) * 2012-10-26 2013-01-30 西南石油大学 Test method for testing terminal efficiency of integral reciprocating natural gas compressor unit
CN102937086A (en) * 2012-10-26 2013-02-20 西南石油大学 Method for testing system efficiency of integrated gas reciprocating natural gas compressor set
CN106295118A (en) * 2016-07-25 2017-01-04 机械工业仪器仪表综合技术经济研究所 A kind of efficiency computational methods of cracking gas centrifugal compressor
JP2017125661A (en) * 2016-01-15 2017-07-20 株式会社中島自動車電装 Multistage variable-type gas recovery machine and multistage variable-type refrigerant recovery machine
CN109899041A (en) * 2019-03-28 2019-06-18 中国石油化工股份有限公司 A kind of oil field ground gas injection system Energy Consumption Evaluation method
CN111503025A (en) * 2020-03-27 2020-08-07 西安联创分布式可再生能源研究院有限公司 Low-pressure-ratio axial flow compressor model level performance calculation method
CN111810395A (en) * 2020-07-16 2020-10-23 西安交通大学 Reciprocating compressor energy efficiency analysis system based on P-V graph test
CN112459984A (en) * 2020-11-13 2021-03-09 西安陕鼓动力股份有限公司 Performance test calculation method for isothermal compressor
CN113391656A (en) * 2021-06-07 2021-09-14 国家石油天然气管网集团有限公司西气东输分公司 Intelligent increase and decrease control method for compressor unit
CN114526254A (en) * 2020-11-23 2022-05-24 中国石油天然气股份有限公司 Energy consumption evaluation method and device for centrifugal compressor
CN115292946A (en) * 2022-08-15 2022-11-04 中国航发沈阳发动机研究所 High-pressure turbine efficiency evaluation method and device based on variable specific heat calculation

Patent Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102767529A (en) * 2012-07-11 2012-11-07 西安陕鼓动力股份有限公司 Calculation method for energy saving effect of axial flow compressor
CN102900660A (en) * 2012-10-26 2013-01-30 西南石油大学 Test method for testing terminal efficiency of integral reciprocating natural gas compressor unit
CN102937086A (en) * 2012-10-26 2013-02-20 西南石油大学 Method for testing system efficiency of integrated gas reciprocating natural gas compressor set
JP2017125661A (en) * 2016-01-15 2017-07-20 株式会社中島自動車電装 Multistage variable-type gas recovery machine and multistage variable-type refrigerant recovery machine
CN106295118A (en) * 2016-07-25 2017-01-04 机械工业仪器仪表综合技术经济研究所 A kind of efficiency computational methods of cracking gas centrifugal compressor
CN109899041A (en) * 2019-03-28 2019-06-18 中国石油化工股份有限公司 A kind of oil field ground gas injection system Energy Consumption Evaluation method
CN111503025A (en) * 2020-03-27 2020-08-07 西安联创分布式可再生能源研究院有限公司 Low-pressure-ratio axial flow compressor model level performance calculation method
CN111810395A (en) * 2020-07-16 2020-10-23 西安交通大学 Reciprocating compressor energy efficiency analysis system based on P-V graph test
CN112459984A (en) * 2020-11-13 2021-03-09 西安陕鼓动力股份有限公司 Performance test calculation method for isothermal compressor
CN114526254A (en) * 2020-11-23 2022-05-24 中国石油天然气股份有限公司 Energy consumption evaluation method and device for centrifugal compressor
CN113391656A (en) * 2021-06-07 2021-09-14 国家石油天然气管网集团有限公司西气东输分公司 Intelligent increase and decrease control method for compressor unit
CN115292946A (en) * 2022-08-15 2022-11-04 中国航发沈阳发动机研究所 High-pressure turbine efficiency evaluation method and device based on variable specific heat calculation

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
王江: "氧气压缩机改送天然气可行性分析计算", 中氮肥, no. 02, pages 40 - 42 *
黄中华;曹跃;: "基于MATLAB的多列往复式压缩机热力计算程序开发", 湖南工程学院学报(自然科学版), no. 03, pages 23 - 26 *

Also Published As

Publication number Publication date
CN116087613B (en) 2023-06-30

Similar Documents

Publication Publication Date Title
CN112685849B (en) Method for analyzing the relative energy efficiency of a compressed air system in the form of a stand-alone or air-compression station
CN113536710B (en) Energy efficiency visual monitoring method for pump and pump set
CN111352400A (en) Heat supply unit sliding pressure operation optimization method and sliding pressure operation control system
CN102767529B (en) Calculation method for energy saving effect of axial flow compressor
CN116087613B (en) Reciprocating compressor energy efficiency calculation system
CN111854064A (en) Energy consumption calculation method and system and air conditioning unit
CN112685969A (en) Optimization method for cold end of large-scale thermal power plant
CN106651640B (en) Energy-saving evaluation method based on operating characteristics of water-feeding pump of thermal power plant
CN111950165B (en) Electric energy meter reliability analysis method under typical environment
CN110702175B (en) Online soft measurement device and method for main steam flow of steam turbine of thermal power plant
CN212846878U (en) Marginal cost measuring and calculating system
CN113738688B (en) Method, device, terminal and storage medium for measuring efficiency of gas compressor
Hering et al. Characteristic blower map modeling for volume flow rate estimation in solid oxide fuel cell systems
CN113123952A (en) Load signal linearization processing method for stepless air volume adjustment of compressor
CN110162745B (en) Method for judging whether energy conservation and consumption reduction are needed for transformer
CN113513746A (en) Method for determining optimized operation mode of closed circulating water system of thermal power plant
CN102252809A (en) Method for diagnosing state of flow path shaft seal system of steam turbine
CN101329221B (en) Method for determining pressure booster distribution machine parameter under marine diesel ISO condition
CN111595090A (en) Circulating cooling water energy-saving operation system and method based on information physical system
CN114718662B (en) Control method and device for regulating valve of zero-output system of low-pressure cylinder of thermal power generating unit
CN111512166B (en) Method, program and device for measuring the power or energy of an electric motor
CN111351531B (en) Main steam flow online measurement method
CN114877308B (en) Method for determining operation interval of coal-fired double-extraction heat supply system
CN118030486A (en) Air compressor energy-saving control method and system based on comprehensive analysis of running state
CN2686176Y (en) Controller for low-voltage intelligent circuit breaker

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