A method and system for monitoring fan efficiency online and conducting energy consumption early warning
By monitoring the real-time input power, flow rate, and total pressure of the wind turbine motor online, calculating the wind turbine efficiency, and using early warning factors for real-time early warning, the problem of insufficient wind turbine efficiency monitoring is solved, and the economic efficiency of wind turbine operation is improved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- XIAN THERMAL POWER RES INST CO LTD
- Filing Date
- 2023-04-24
- Publication Date
- 2026-04-10
AI Technical Summary
Existing technologies cannot effectively monitor the actual operating efficiency of wind turbines, leading to increased power consumption and impacting the economic efficiency of the units.
By acquiring real-time input power of the fan motor, fan flow rate, and fan total pressure online, the actual efficiency of the fan is calculated, and real-time monitoring and early warning are carried out using early warning factors and energy consumption assessment factors, including the installation of power meters, flow measurement devices, and pressure measurement devices.
It enables real-time monitoring and early warning of wind turbine operating status, allowing for timely adjustments and improving the unit's economic efficiency.
Smart Images

Figure CN116335987B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application belongs to the technical field of fan energy saving, and particularly relates to a method and system for online monitoring of fan efficiency and energy consumption early warning. BACKGROUND
[0002] A fan is a machine that relies on input mechanical energy to improve gas pressure and discharge gas, and is one of indispensable equipment in a coal-fired power plant. The running efficiency of the fan directly affects the economy of the unit. After running for a period of time, the actual performance of the fan gradually deviates from the design performance due to blade dust accumulation, wear, blade jamming, and blade asynchronization, etc., resulting in a decrease in actual running efficiency of the fan, an increase in power consumption rate of the fan, and a decrease in running economy of the unit. At present, the fan of the coal-fired power plant can only monitor the fan current, and cannot directly monitor the actual running efficiency of the fan, which is not conducive to the monitoring and judgment of the actual performance of the fan. Therefore, it is necessary to carry out online monitoring of the fan efficiency to realize timely maintenance of the fan when the efficiency deviates from the design value. SUMMARY
[0003] To solve the technical problems in the prior art, the purpose of the present application is to provide a method and system for online monitoring of fan efficiency and energy consumption early warning.
[0004] To achieve the above purposes and achieve the above technical effects, the technical solution adopted by the present application is as follows:
[0005] A method for online monitoring of fan efficiency and energy consumption early warning, comprising the following steps:
[0006] Online acquisition of real-time input power of a fan motor, fan flow, fan total pressure, and unit load, followed by calculation of actual efficiency of the fan and online real-time monitoring of the running working point of the fan;
[0007] Calculation of early warning factors and fan energy consumption evaluation factors, and prompting of different early warning levels and energy consumption levels.
[0008] Further, the step of online acquisition of real-time input power of the fan motor, fan flow, and fan total pressure comprises:
[0009] A power meter is installed on the busbar of the fan motor, and the real-time input power P of the fan motor is acquired through the power meter;
[0010] A flow measuring device is installed at the inlet of the fan to acquire the fan flow Q;
[0011] An inlet pressure measuring device and an outlet pressure measuring device are installed at the inlet and outlet of the fan respectively to measure the pressures at the inlet and outlet of the fan respectively, and then obtain the fan total pressure Δp, Δp = fan outlet pressure - fan inlet pressure.
[0012] Further, the calculation formula of the actual efficiency of the fan is:
[0013]
[0014] Wherein:
[0015] △p: fan total pressure, kPa;
[0016] Q: fan flow, m 3 / s;
[0017] P: real-time input power of fan motor, kW;
[0018] η: actual efficiency of fan, %;
[0019] η1: mechanical efficiency;
[0020] η2: motor efficiency, 0.95-0.98.
[0021] Further, the step of monitoring the fan operating condition point in real time online comprises:
[0022] The fan flow and the fan total pressure are marked on the fan performance curve respectively, and the fan operating condition point is monitored in real time online.
[0023] Further, the early warning factor includes a wind volume early warning factor X and a total pressure early warning factor Y.
[0024] Further, the calculation formula of the wind volume early warning factor X is:
[0025] X = Q / Q min
[0026] Wherein:
[0027] Q: fan flow, m 3 / s;
[0028] Q min : minimum value of fan flow, m 3 / s;
[0029] The step of obtaining the minimum value of fan flow Q min comprises:
[0030] The fan flow under the same load is composed of a set Q i ={Q1, Q2, Q3, …}, the fan flow under the same load is sorted by bubble sorting method, and the minimum value of fan flow Q min is obtained.
[0031] The relationship between different wind volume early warning factors X and early warning levels is as follows:
[0032] Wind volume early warning factor X Early warning level 1.1~1.2 General 1.2~1.3 Moderate Greater than 1.3 Severe
[0033] Further, the calculation formula of the total pressure early warning factor Y is:
[0034] Y=△p / △p min
[0035] Wherein:
[0036] △p: fan total pressure, kPa;
[0037] △p min : fan total pressure minimum, kPa;
[0038] The fan total pressure minimum △p min The acquisition step includes:
[0039] The fan total pressure under the same load is composed of a set △p i ={△p1, △p2, △p3, …}, the bubble sorting method is used to sort the fan total pressure under the same load, and the fan total pressure minimum △p min Is obtained.
[0040] The relationship between different total pressure early warning factors Y and early warning levels is as follows:
[0041] Total pressure early warning factor Y Early warning level 1.1~1.3 General 1.3~1.5 Moderate Greater than 1.5 Severe
[0042] Further, the calculation formula of the fan energy consumption evaluation factor Z is:
[0043]
[0044] X=Q / Q min
[0045] Y=△p / △p min
[0046]
[0047] The relationship between different fan energy consumption evaluation factors and energy consumption levels is as follows:
[0048] Fan energy consumption evaluation factor Z Energy consumption level 1~1.3 Excellent 1.3~2.5 Moderate Greater than 2.5 Severe
[0049] The application also discloses an online monitoring fan efficiency and energy consumption early warning system, comprising:
[0050] A power meter is installed on the fan to obtain the real-time input power P of the fan motor.
[0051] A flow measuring device is installed at the inlet of the fan to obtain the flow Q of the fan.
[0052] An inlet pressure measuring device is installed at the inlet of the fan to measure the pressure at the inlet of the fan.
[0053] An outlet pressure measuring device is installed at the outlet of the fan to measure the pressure at the outlet of the fan.
[0054] The fan total pressure △p can be obtained by subtracting the fan inlet pressure from the fan outlet pressure, i.e., △p = fan outlet pressure - fan inlet pressure.
[0055] The application further discloses a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to realize the steps of the method.
[0056] Compared with the prior art, the application has the following beneficial effects:
[0057] The application can realize online monitoring of the actual operation efficiency of the fan, draw the fan operation working condition point on the fan performance curve to form a fan operation working condition point diagram, and evaluate the operation state of the fan based on the air volume early warning factor, the total pressure early warning factor and the fan energy consumption evaluation factor, so that a warning signal is given in time when the fan deviates from the optimal operation working condition, the operation and maintenance personnel are reminded to make corresponding feedback, and the fan maintenance is completed in time, which is beneficial to improving the economy of the unit. BRIEF DESCRIPTION OF DRAWINGS
[0058] Figure 1 The figure is a flowchart of the application;
[0059] Figure 2 The figure is a structural schematic diagram of the application;
[0060] Figure 3 The figure is a fan operation working condition point diagram of embodiment 1 of the application. DETAILED DESCRIPTION
[0061] The application will be described in detail below, so that the advantages and features of the application can be more easily understood by those skilled in the art, and the protection scope of the application can be more clearly and explicitly defined.
[0062] The following presents a simplified summary of one or more aspects in order to provide a basic understanding of such aspects. This summary is not an extensive overview of all contemplated aspects, and is intended to neither identify key or critical elements of all aspects nor delineate the scope of any or all aspects. Its sole purpose is to present some concepts of one or more aspects in a simplified form as a prelude to the more detailed description that is presented later.
[0063] Embodiment 1
[0064] As shown in the figure, a method for online monitoring of fan efficiency and energy consumption early warning comprises the following steps: Figures 1-3
[0065] 1) Install power meter 1 on the fan motor leading bus, and obtain the real-time input power P of the fan motor through the power meter 1;
[0066] 2) Install flow measuring device 3 at the inlet of fan 2 to obtain the fan flow Q;
[0067] 3) Install inlet pressure measuring device 4 and outlet pressure measuring device 5 at the inlet and outlet of fan 2 respectively to measure the inlet pressure and outlet pressure of fan 2 respectively, and then obtain the fan total pressure △p, △p = fan outlet pressure - fan inlet pressure;
[0068] 4) Calculate the actual efficiency η of the fan:
[0069]
[0070] △p: fan total pressure, kPa;
[0071] Q: fan flow, m 3 / s;
[0072] P: real-time input power of fan motor, kW;
[0073] η: actual efficiency of fan, %;
[0074] η1: mechanical efficiency; take 1 when fan 2 is directly connected with the motor; take 0.95-0.98 when connected with a coupling; take 0.9-0.95 when connected with a triangular belt; take 0.85 when connected with a flat belt;
[0075] η2: motor efficiency, take 0.95-0.98;
[0076] 5) Mark the fan flow Q and fan total pressure △p on the fan performance curve respectively, and monitor the fan operating condition point in real time;
[0077] 6) Calculate the air volume early warning factor X
[0078] The fan flow under the same load forms a set Q i ={Q1, Q2, Q3, …}, the fan flow under the same load is sorted by bubble sorting method, and the minimum fan flow Q min is obtained; the air volume early warning factor X = Q / Q min is established, different early warning levels are given according to X, as shown in Table 1, reminding the operating personnel to adjust the air volume and the maintenance personnel to treat the system air leakage, different early warning levels can be given different colors according to actual needs, which is easier to observe;
[0079] Table 1
[0080] Wind volume early warning factor X Early warning level 1.1~1.2 General 1.2~1.3 Moderate Greater than 1.3 Severe
[0081] 7) Calculate the total pressure early warning factor Y
[0082] The fan total pressure under the same load is composed of a set △p i ={△p1, △p2, △p3, …}, the bubble sorting method is used to sort the fan total pressure under the same load, and the minimum fan total pressure △p min is obtained; the total pressure early warning factor Y=△p / △p min is established, different warning levels are given according to Y, as shown in Table 2, reminding the operation and maintenance personnel to take measures to reduce the system resistance, different warning levels can be given different colors according to actual needs, which is easier to observe;
[0083] Table 2
[0084] Total pressure early warning factor Y Early warning level 1.1~1.3 General 1.3~1.5 Moderate Greater than 1.5 Severe
[0085] 8) Calculate the fan energy consumption evaluation factor Z
[0086] According to the actual air volume and total pressure of the fan, the theoretical efficiency η of the fan is obtained from the fan performance curve 理论效率 , the actual efficiency, flow rate and total pressure of the fan are normalized, that is:
[0087]
[0088] Further, the fan energy consumption evaluation factor Z is calculated:
[0089]
[0090] According to Z, different energy consumption levels are given, as shown in Table 3.
[0091] Table 3
[0092] Fan energy consumption evaluation factor Z Energy consumption level 1~1.3 Excellent 1.3~2.5 Moderate Greater than 2.5 Severe
[0093] The application also discloses an online monitoring fan efficiency and energy consumption early warning system, comprising:
[0094] A power meter 1 is installed on the fan 2, and is used to obtain the real-time input power P of the fan motor;
[0095] A flow measuring device 3 is installed at the inlet of the fan 2, and is used to obtain the flow rate Q of the fan;
[0096] An inlet pressure measuring device 4 is installed at the inlet of the fan 2, and is used to measure the pressure at the inlet of the fan;
[0097] An outlet pressure measuring device 5 is installed at the outlet of the fan 2, and is used to measure the pressure at the outlet of the fan;
[0098] The fan total pressure Δp can be obtained by subtracting the fan inlet pressure from the fan outlet pressure, that is, Δp = fan outlet pressure - fan inlet pressure.
[0099] Fan A and fan B of a certain power plant are adjustable blade axial flow fans produced by Shanghai Blower Factory, with a model of FAF26.6-14-1, a fan rotating speed of 980 r / min, a rated wind pressure of 4538 Pa, a rated wind volume of 229 m / s, and a rated power of 1400 kW. 3 The fan flow and fan total pressure of fan A and fan B under different loads are measured online, and the fan flow and fan total pressure under different loads are marked on the fan performance curve as shown in the figure, so as to monitor the fan operating condition point and operating efficiency in real time. Figure 3
[0100] The parts or structures not specifically described in the present application can adopt the prior art or existing products, which will not be described here.
[0101] The above is only an embodiment of the present application, and does not limit the patent range of the present application, and any equivalent structure or equivalent process transformation using the content of the present application specification, or direct or indirect application in other related technical fields, are also included in the patent protection range of the present application.
Claims
1. A method for monitoring the efficiency of a fan online and giving energy consumption early warning, characterized in that, It comprises the following steps: Online acquisition of real-time input power of fan motor, fan flow, fan total pressure and unit load, then calculation of fan actual efficiency and online real-time monitoring of fan operation working point; Calculation of early warning factor and fan energy consumption evaluation factor, prompting of different early warning levels and energy consumption levels; The early warning factor comprises air volume early warning factor X and total pressure early warning factor Y; The calculation formula of the air volume early warning factor X is: X = Q / Q min ; Wherein: Q: Fan flow, m3 / s 3 / s; Q min : minimum flow rate of the fan, m 3 / s; The fan flow minimum value Q min The obtaining step comprises: The fan flow under the same load is composed of a set Q i ={Q1, Q2, Q3, …}, the fan flow under the same load is sorted by bubble sorting method, and the minimum fan flow Q min is obtained. The relationship between different air volume early warning factor X and early warning level is: When the air volume early warning factor X is 1.1-1.2, the early warning level is general; When the air volume early warning factor X is 1.2-1.3, the early warning level is moderate; When the air volume early warning factor X is greater than 1.3, the early warning level is severe; The calculation formula of the total pressure early warning factor Y is: Y = Δp / Δp min ; Wherein: △p: fan total pressure, kPa; △p min : minimum value of fan total pressure, kPa; The fan total pressure minimum value Δp min The obtaining step comprises: The fan total pressure under the same load is composed of a set Δp i ={△p1,△p2,△p3,…}, bubble sort is used to sort the fan total pressure under the same load, and the minimum fan total pressure Δp min is obtained. The relationship between different total pressure early warning factor Y and early warning level is: When the total pressure early warning factor Y is 1.1-1.3, the early warning level is general; When the total pressure early warning factor Y is 1.3-1.5, the early warning level is moderate; When the total pressure early warning factor Y is greater than 1.5, the early warning level is severe; The calculation formula of the fan energy consumption evaluation factor Z is: ; ; Wherein: X: air volume early warning factor; Y: total pressure early warning factor; The relationship between different fan energy consumption evaluation factor and energy consumption level is: When the fan energy consumption evaluation factor Z is 1-1.3, the energy consumption level is excellent; When the fan energy consumption evaluation factor Z is 1.3-2.5, the energy consumption level is moderate; When the fan energy consumption evaluation factor Z is greater than 2.5, the energy consumption level is severe.
2. The method for monitoring the efficiency of a fan online and giving energy consumption early warning according to claim 1, characterized in that, The steps of online acquisition of real-time input power of fan motor, fan flow and fan total pressure comprise: Installation of power meter on the busbar of fan motor, acquisition of real-time input power P of fan motor through the power meter; Installation of flow measurement device at the inlet of fan to acquire fan flow Q; Installation of inlet pressure measurement device and outlet pressure measurement device at the inlet and outlet of fan respectively to measure the pressure at the inlet and outlet of fan respectively, and then obtain fan total pressure △p, △p=fan outlet pressure-fan inlet pressure.
3. The method for monitoring the efficiency of a fan on line and giving energy consumption early warning according to claim 1, characterized in that, The calculation formula of the fan actual efficiency is: ; Wherein: △p: fan total pressure, kPa; Q: Fan flow, m3 / s 3 / s; P: real-time input power of fan motor, kW; η: fan actual efficiency, %; η1: mechanical efficiency; η2: motor efficiency, 0.95-0.
98.
4. The method for monitoring the efficiency of a fan online and giving energy consumption early warning according to claim 1, characterized in that, The steps of online real-time monitoring of fan operation working point comprise: Marking of fan flow and fan total pressure on the fan performance curve to complete online real-time monitoring of fan operation working point.
5. A computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to realize the steps of the method in any one of claims 1-4.
Citation Information
Patent Citations
Fan online monitoring method, device and system based on cloud computing
CN113153794A
Fan energy consumption optimizing system
CN206071926U