Energy efficiency optimization method and device for turbine cargo oil pump

Abstract

A method for optimizing the energy efficiency of a turbine cargo oil pump is provided. First, a gas flow regulating valve is set on the air inlet of the turbine, and a liquid flow regulating valve is set on the liquid outlet of the cargo oil pump. Then, the turbine data and the cargo oil pump data are monitored simultaneously. Then, the output power of the turbine is calculated based on the turbine data, and the energy increment of the liquid cargo before and after passing through the cargo oil pump is calculated based on the cargo oil pump data. Then, the real-time energy efficiency of the turbine cargo oil pump is calculated, and then the real-time energy efficiency and its corresponding regulating valve opening are stored. By analogy, multiple sets of real-time energy efficiency and corresponding valve opening are obtained, and then a mathematical model is constructed and trained. Then, an automatic optimization intelligent algorithm is used to find the optimal operating point from the maturely trained mathematical model, and then the regulating valve is controlled according to the regulating valve opening corresponding to the optimal operating point. This design can not only reflect the energy efficiency optimization of the turbine cargo oil pump as a whole, but also is easy to operate.

Description

Technical Field

[0001] The present invention relates to an energy efficiency optimization design of a turbine cargo oil pump, belongs to the field of liquid cargo loading and unloading equipment in oil and chemical transport ships and offshore oil and gas platforms, and in particular to an energy efficiency optimization method and device for a turbine cargo oil pump. Background Art

[0002] At present, turbine cargo oil pumps use saturated steam generated by boilers to drive turbines, and then the turbines are decelerated by gearboxes to drive centrifugal pumps to operate, thereby realizing crude oil or other liquid cargo loading and unloading operations. Turbine cargo oil pumps are used in large crude oil transport ships and marine engineering equipment to realize the functions of in-ship liquid cargo transfer or external transportation of crude oil and other liquid cargoes. Therefore, turbine cargo oil pumps generally have large displacement and relatively high power. For this reason, the energy efficiency of turbine cargo oil pumps is crucial to energy conservation, emission reduction and cost reduction.

[0003] However, the current energy efficiency evaluation of turbine cargo oil pumps mainly relies on the centrifugal pump characteristic curve provided when the cargo oil pump leaves the factory. The centrifugal pump characteristic curve reflects the relationship between the efficiency of the centrifugal pump and the liquid cargo flow rate at a certain speed. However, in actual applications, the performance of the centrifugal pump is closely related to the head, flow rate, speed, etc. At the same time, the performance of the turbine is closely related to the speed, steam flow rate, temperature, pressure, etc. Therefore, the overall energy efficiency of the turbine cargo oil pump cannot be simply given by the centrifugal pump characteristic curve of the cargo oil pump. It is also affected by the turbine and gearbox. Therefore, the turbine cargo oil pump must be considered as a whole to provide a basis for the energy efficiency optimization control of the turbine cargo oil pump. At present, there is a lack of energy efficiency optimization design in this regard, and it is impossible to achieve efficient operation of the turbine cargo oil pump.

[0004] The information disclosed in this background technology section is only intended to increase the understanding of the overall background of the application, and should not be regarded as acknowledging or suggesting in any form that the information constitutes the prior art already known to ordinary technicians in this field. Summary of the invention

[0005] The purpose of the present invention is to overcome the defects and problems existing in the prior art that the energy efficiency optimization of the turbine cargo oil pump cannot be reflected as a whole, and to provide a method and device for optimizing the energy efficiency of the turbine cargo oil pump that can reflect the energy efficiency optimization of the turbine cargo oil pump as a whole.

[0006] To achieve the above objectives, the technical solution of the present invention is: a method for optimizing the energy efficiency of a turbine cargo oil pump, wherein the turbine cargo oil pump refers to high-temperature and high-pressure steam entering the turbine to expand and do work to drive the turbine to rotate, and then the rotating turbine drives the cargo oil pump to rotate through the gear box to pump oil. The energy efficiency optimization method includes the following steps:

[0007] Data monitoring step: firstly, a gas flow regulating valve is set on the air inlet of the turbine, and a liquid flow regulating valve is set on the liquid outlet of the cargo oil pump, and then the turbine data and the cargo oil pump data are monitored simultaneously, wherein the turbine data includes the outlet pressure, inlet pressure, outlet temperature, inlet temperature, mass flow rate, rotation speed of the turbine, and opening degree of the gas flow regulating valve of the saturated steam on the turbine, and the cargo oil pump data includes the outlet pressure, inlet pressure, mass flow rate of the outlet liquid cargo, mass flow rate of the inlet liquid cargo, and opening degree of the liquid flow regulating valve of the cargo oil pump;

[0008] Data processing steps: First, the turbine output power Pt is calculated based on the turbine data. At the same time, the energy increment W before and after the liquid cargo passes through the cargo pump is calculated based on the cargo pump data. Then the real-time energy efficiency ηr of the turbine cargo pump is calculated:

[0009] ηr=W / Pt;

[0010] Then the real-time energy efficiency ηr and its corresponding liquid flow control valve opening and gas flow control valve opening are stored. Similarly, the real-time energy efficiency ηr, liquid flow control valve opening and gas flow control valve opening under different working conditions are stored to form energy efficiency historical data, and then the multi-objective optimization mathematical model of turbine cargo oil pump energy efficiency is constructed as follows:

[0011] Maxηr=f(kL,kt), 0≤kL≤1; 0≤kt≤1;

[0012] In the formula, kL is the opening of the liquid flow control valve, and kt is the opening of the gas flow control valve. Then the mathematical model is trained using the energy efficiency historical data until the training is mature.

[0013] Optimization control steps: first use the automatic optimization intelligent algorithm to find the optimal operating point from the mature mathematical model, and then control the liquid flow control valve and gas flow control valve on the turbine cargo oil pump to be optimized according to the opening of the liquid flow control valve and the opening of the gas flow control valve corresponding to the optimal operating point, so as to optimize the operating condition of the turbine cargo oil pump to be optimized.

[0014] The automatic optimization intelligent algorithm is any one of a genetic algorithm, a neural network algorithm, and a simulated annealing algorithm.

[0015] The method for obtaining the energy increment W is as follows:

[0016] W = H * QL;

[0017] Among them, H is the head and QL is the mass flow rate of liquid cargo.

[0018] The method for obtaining the lift H is as follows:

[0019]

[0020] Wherein, ρ is the density of liquid cargo, g is the acceleration of gravity, ΔZ is the vertical height difference between the inlet and outlet of the cargo oil pump; Pout is the outlet pressure value of the cargo oil pump, Pin is the inlet pressure value of the cargo oil pump; V1 is the flow rate of liquid cargo through the inlet of the cargo oil pump, and V2 is the flow rate of liquid cargo through the outlet of the oil pump.

[0021] The method for obtaining V1 and V2 is as follows:

[0022]

[0023]

[0024] Among them, D1 and D2 are the pipeline diameters of liquid cargo at the inlet and outlet of the cargo oil pump respectively.

[0025] The method for obtaining the output power Pt is as follows:

[0026] First, check the saturated steam thermal physical property parameter table according to the time-averaged inlet pressure and inlet temperature to obtain the inlet enthalpy value hin, then check the saturated steam thermal physical property parameter table according to the time-averaged outlet pressure and outlet temperature to obtain the outlet enthalpy value hout, and then obtain the turbine output power Pt according to the following calculation method:

[0027] P t =Q w (h in -h out );

[0028] Where Qw is the time-averaged mass flow rate of saturated steam.

[0029] The time-averaged inlet pressure and inlet temperature refer to the time average of the inlet pressure and the time average of the inlet temperature, and the time-averaged outlet pressure and outlet temperature refer to the time average of the outlet pressure and the time average of the outlet temperature; the time average is obtained according to the following calculation method:

[0030] Assuming that the time average value of the outlet pressure within the time range T is to be measured, a data Pi is measured every Δt time, and there are a total of n = T / Δt data. At this time, the time average value to be obtained is:

[0031]

[0032] An energy efficiency optimization device for the above-mentioned turbine cargo oil pump energy efficiency optimization method, the energy efficiency optimization device comprising a cargo oil pump monitoring module, a turbine monitoring module, a real-time data storage module, a data calculation module, an energy efficiency historical data storage module and an energy efficiency optimization calculation module;

[0033] The output ends of the cargo oil pump monitoring module and the turbine monitoring module are connected to the input end of the real-time data storage module by signal connection, the output end of the real-time data storage module is connected to the input end of the data calculation module by signal connection, the output end of the data calculation module is connected to the input end of the energy efficiency history data storage module by signal connection, the output end of the energy efficiency history data storage module is connected to the input end of the energy efficiency optimization calculation module by signal connection, and the output end of the energy efficiency optimization calculation module is connected to the control end of the gas flow control valve and the liquid flow control valve by signal connection;

[0034] The monitoring objects of the turbine monitoring module are the outlet pressure, inlet pressure, outlet temperature, inlet temperature, mass flow rate, turbine speed, and opening of the gas flow control valve of the saturated steam on the turbine;

[0035] The cargo oil pump monitoring module monitors the cargo oil pump's outlet pressure, inlet pressure, mass flow rate of the outlet liquid cargo, mass flow rate of the inlet liquid cargo, and the opening of the liquid flow regulating valve;

[0036] The storage data of the real-time data storage module includes all the data monitored by the cargo oil pump monitoring module and the turbine monitoring module;

[0037] The data calculation module calculates according to the stored data in the real-time data storage module to obtain the output power Pt of the turbine and the energy increment W before and after the cargo oil pump, and then calculates the real-time energy efficiency ηr of the turbine cargo oil pump, and then stores the obtained real-time energy efficiency ηr in the energy efficiency history data storage module;

[0038] The energy efficiency optimization calculation module first constructs a multi-objective optimization mathematical model for energy efficiency of a turbine cargo oil pump according to the energy efficiency historical data stored in the energy efficiency historical data storage module, and performs training until a mature mathematical model is obtained, and then uses an automatic optimization intelligent algorithm to find the optimal operating point from the trained mature mathematical model, and then obtains the opening of the liquid flow regulating valve and the opening of the gas flow regulating valve corresponding to the optimal operating point, and controls the liquid flow regulating valve and the gas flow regulating valve on the turbine cargo oil pump to be optimized according to the obtained opening of the liquid flow regulating valve and the opening of the gas flow regulating valve, so as to optimize the operating condition of the turbine cargo oil pump to be optimized.

[0039] The energy efficiency optimization device also includes an energy efficiency control module, the output end of the energy efficiency optimization calculation module is connected to the input end signal of the energy efficiency control module, and the output end of the energy efficiency control module is connected to the control end signal of the gas flow control valve and the liquid flow control valve;

[0040] After obtaining the opening of the liquid flow control valve and the gas flow control valve corresponding to the optimal operating point, they are first sent to the energy efficiency control module, and then the energy efficiency control module controls the liquid flow control valve and the gas flow control valve on the turbine cargo oil pump to be optimized according to the obtained opening of the liquid flow control valve and the gas flow control valve, so as to optimize the operating condition of the turbine cargo oil pump to be optimized.

[0041] Compared with the prior art, the present invention has the following beneficial effects:

[0042] 1. In a method and device for optimizing the energy efficiency of a turbine cargo oil pump of the present invention, the operation conditions of the turbine and the cargo oil pump in the turbine cargo oil pump are first monitored simultaneously to obtain turbine data and cargo oil pump data, and then the output power Pt of the turbine and the energy increment W before and after the cargo oil pump are calculated based on the turbine data and the cargo oil pump data, and then the real-time energy efficiency ηr of the turbine cargo oil pump is calculated and stored. At this time, a set of energy efficiency history data of "real-time energy efficiency ηr, liquid flow control valve opening, gas flow control valve opening" will be obtained, and then multiple sets of energy efficiency history data will be obtained according to different working conditions, and then all the energy efficiency history data will be used to calculate the real-time energy efficiency ηr, liquid flow control valve opening, gas flow control valve opening, and the energy efficiency history data will be stored. A mathematical model is constructed based on the above, and it is trained to obtain a mature mathematical model. Then, an automatic optimization intelligent algorithm is used to find the optimal operating point from the trained mature mathematical model. Then, according to the opening of the liquid flow regulating valve and the opening of the gas flow regulating valve corresponding to the optimal operating point, the liquid flow regulating valve and the gas flow regulating valve on the turbine cargo oil pump to be optimized are controlled respectively to optimize the operating conditions of the turbine cargo oil pump to be optimized, thereby monitoring and optimizing the energy efficiency of the turbine cargo oil pump as a whole, overcoming the defect of the prior art that only focuses on the optimal operating conditions of the cargo oil pump, which is conducive to the overall optimization of the energy efficiency of the turbine cargo oil pump. Therefore, the present invention can reflect the energy efficiency optimization of the turbine cargo oil pump as a whole.

[0043] 2. In the energy efficiency optimization method and device of a turbine cargo oil pump of the present invention, when calculating the energy increment W before and after the cargo oil pump, the outlet pressure, inlet pressure, mass flow rate of the outlet liquid cargo, and mass flow rate of the inlet liquid cargo of the cargo oil pump are used as the calculation basis. At the same time, when calculating the output power Pt of the turbine, the outlet pressure, inlet pressure, outlet temperature, inlet temperature, mass flow rate, and rotation speed of the saturated steam on the turbine are used as the calculation basis. Moreover, the turbine data and cargo oil pump data are taken at the same time, which can not only directly reflect the operation of the cargo oil pump and the turbine, but also has a wide coverage range, and the effect is more comprehensive, and it is easy to operate and easy to collect. In addition, the opening of the gas flow control valve and the opening of the liquid flow control valve can also be easily collected, which can reduce the difficulty of the collection work and facilitate the instant acquisition of the opening information, thereby ensuring the real-time and comprehensive information as a whole, and then ensuring the effectiveness of the final calculation result, and finally providing a highly efficient energy efficiency optimization control method. Therefore, the present invention not only collects information more accurately, but also has a better energy efficiency optimization effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 It is a structural schematic diagram of the present invention.

[0045] Figure 2 It is a signal connection schematic diagram of the present invention.

[0046] In the figure: a gas flow regulating valve 1, a gas inlet 11, a liquid flow regulating valve 2, and a liquid outlet 21. DETAILED DESCRIPTION

[0047] The present invention is further described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0048] See also Figure 1 and Figure 2 , a method for optimizing the energy efficiency of a turbine cargo oil pump, wherein the turbine cargo oil pump refers to high-temperature and high-pressure steam entering the turbine to expand and do work to drive the turbine to rotate, and then the rotating turbine drives the cargo oil pump to rotate through a gear box to pump oil, and the energy efficiency optimization method comprises the following steps:

[0049] Data monitoring step: firstly, a gas flow regulating valve 1 is set on the air inlet 11 of the turbine, and a liquid flow regulating valve 2 is set on the liquid outlet 21 of the cargo oil pump, and then the turbine data and the cargo oil pump data are monitored simultaneously, wherein the turbine data includes the outlet pressure, inlet pressure, outlet temperature, inlet temperature, mass flow rate, rotation speed of the turbine, and opening degree of the gas flow regulating valve 1 of the saturated steam on the turbine, and the cargo oil pump data includes the outlet pressure, inlet pressure, mass flow rate of the outlet liquid cargo, mass flow rate of the inlet liquid cargo, and opening degree of the liquid flow regulating valve 2 of the cargo oil pump;

[0050] Data processing steps: First, the turbine output power Pt is calculated based on the turbine data. At the same time, the energy increment W before and after the liquid cargo passes through the cargo pump is calculated based on the cargo pump data. Then the real-time energy efficiency ηr of the turbine cargo pump is calculated:

[0051] ηr=W / Pt;

[0052] Then the real-time energy efficiency ηr and its corresponding liquid flow control valve 2 opening and gas flow control valve 1 opening are stored. Similarly, the real-time energy efficiency ηr, liquid flow control valve 2 opening and gas flow control valve 1 opening under different working conditions are stored to form energy efficiency historical data, and then the multi-objective optimization mathematical model of turbine cargo oil pump energy efficiency is constructed as follows:

[0053] Maxηr=f(kL,kt), 0≤kL≤1; 0≤kt≤1;

[0054] In the formula, kL is the opening of the liquid flow control valve 2, and kt is the opening of the gas flow control valve 1; then the energy efficiency historical data is used to train the mathematical model until the training is mature;

[0055] Optimization control steps: first use the automatic optimization intelligent algorithm to find the optimal operating point from the mature mathematical model, and then control the liquid flow control valve 2 and gas flow control valve 1 on the turbine cargo oil pump to be optimized according to the opening of the liquid flow control valve 2 and the opening of the gas flow control valve 1 corresponding to the optimal operating point, so as to optimize the operating condition of the turbine cargo oil pump to be optimized.

[0056] The automatic optimization intelligent algorithm is any one of a genetic algorithm, a neural network algorithm, and a simulated annealing algorithm.

[0057] The method for obtaining the energy increment W is as follows:

[0058] W = H * QL;

[0059] Among them, H is the head and QL is the mass flow rate of liquid cargo.

[0060] The method for obtaining the lift H is as follows:

[0061]

[0062] Wherein, ρ is the density of liquid cargo, g is the acceleration of gravity, ΔZ is the vertical height difference between the inlet and outlet of the cargo oil pump; Pout is the outlet pressure value of the cargo oil pump, Pin is the inlet pressure value of the cargo oil pump; V1 is the flow rate of liquid cargo through the inlet of the cargo oil pump, and V2 is the flow rate of liquid cargo through the outlet of the oil pump.

[0063] The method for obtaining V1 and V2 is as follows:

[0064]

[0065]

[0066] Among them, D1 and D2 are the pipeline diameters of liquid cargo at the inlet and outlet of the cargo oil pump respectively.

[0067] The method for obtaining the output power Pt is as follows:

[0068] First, check the saturated steam thermal physical property parameter table according to the time-averaged inlet pressure and inlet temperature to obtain the inlet enthalpy value hin, then check the saturated steam thermal physical property parameter table according to the time-averaged outlet pressure and outlet temperature to obtain the outlet enthalpy value hout, and then obtain the turbine output power Pt according to the following calculation method:

[0069] P t =Q w (h in -h out );

[0070] Where Qw is the time-averaged mass flow rate of saturated steam.

[0071] The time-averaged inlet pressure and inlet temperature refer to the time average of the inlet pressure and the time average of the inlet temperature, and the time-averaged outlet pressure and outlet temperature refer to the time average of the outlet pressure and the time average of the outlet temperature; the time average is obtained according to the following calculation method:

[0072] Assuming that the time average value of the outlet pressure within the time range T is to be measured, a data Pi is measured every Δt time, and there are a total of n = T / Δt data. At this time, the time average value to be obtained is:

[0073]

[0074] An energy efficiency optimization device for the above-mentioned turbine cargo oil pump energy efficiency optimization method, the energy efficiency optimization device comprising a cargo oil pump monitoring module, a turbine monitoring module, a real-time data storage module, a data calculation module, an energy efficiency historical data storage module and an energy efficiency optimization calculation module;

[0075] The output ends of the cargo oil pump monitoring module and the turbine monitoring module are connected to the input end signal of the real-time data storage module, the output end of the real-time data storage module is connected to the input end signal of the data calculation module, the output end of the data calculation module is connected to the input end signal of the energy efficiency history data storage module, the output end of the energy efficiency history data storage module is connected to the input end signal of the energy efficiency optimization calculation module, and the output end of the energy efficiency optimization calculation module is connected to the control end signal of the gas flow control valve 1 and the liquid flow control valve 2;

[0076] The monitoring objects of the turbine monitoring module are the outlet pressure, inlet pressure, outlet temperature, inlet temperature, mass flow rate, turbine speed, and opening degree of the gas flow control valve 1 of the saturated steam on the turbine;

[0077] The cargo oil pump monitoring module monitors the cargo oil pump's outlet pressure, inlet pressure, mass flow rate of the outlet liquid cargo, mass flow rate of the inlet liquid cargo, and the opening of the liquid flow regulating valve 2;

[0078] The storage data of the real-time data storage module includes all the data monitored by the cargo oil pump monitoring module and the turbine monitoring module;

[0079] The data calculation module calculates according to the stored data in the real-time data storage module to obtain the output power Pt of the turbine and the energy increment W before and after the cargo oil pump, and then calculates the real-time energy efficiency ηr of the turbine cargo oil pump, and then stores the obtained real-time energy efficiency ηr in the energy efficiency history data storage module;

[0080] The energy efficiency optimization calculation module first constructs a multi-objective optimization mathematical model for energy efficiency of a turbine cargo oil pump according to the energy efficiency historical data stored in the energy efficiency historical data storage module, and performs training until a mature mathematical model is obtained, and then uses an automatic optimization intelligent algorithm to find the optimal operating point from the trained mature mathematical model, and then obtains the opening of the liquid flow control valve 2 and the opening of the gas flow control valve 1 corresponding to the optimal operating point, and controls the liquid flow control valve 2 and the gas flow control valve 1 on the turbine cargo oil pump to be optimized according to the obtained opening of the liquid flow control valve 2 and the opening of the gas flow control valve 1, so as to optimize the operating condition of the turbine cargo oil pump to be optimized.

[0081] The energy efficiency optimization device also includes an energy efficiency control module, the output end of the energy efficiency optimization calculation module is connected to the input end signal of the energy efficiency control module, and the output end of the energy efficiency control module is connected to the control end signal of the gas flow control valve 1 and the liquid flow control valve 2;

[0082] After obtaining the opening of the liquid flow control valve 2 and the gas flow control valve 1 corresponding to the optimal operating point, they are first sent to the energy efficiency control module, and then the energy efficiency control module controls the liquid flow control valve 2 and the gas flow control valve 1 on the turbine cargo oil pump to be optimized according to the obtained opening of the liquid flow control valve 2 and the gas flow control valve 1, so as to optimize the operating condition of the turbine cargo oil pump to be optimized.

[0083] The principle of the present invention is described as follows:

[0084] In the present invention, 0-1 in “0≤kL≤1; 0≤kt≤1” indicates that the valve is from closed to fully open.

[0085] Embodiment 1:

[0086] See also Figure 1 and Figure 2 , a method for optimizing the energy efficiency of a turbine cargo oil pump, wherein the turbine cargo oil pump refers to high-temperature and high-pressure steam entering the turbine to expand and do work to drive the turbine to rotate, and then the rotating turbine drives the cargo oil pump to rotate through a gear box to pump oil, and the energy efficiency optimization method comprises the following steps:

[0087] Data monitoring step: firstly, a gas flow regulating valve 1 is set on the air inlet 11 of the turbine, and a liquid flow regulating valve 2 is set on the liquid outlet 21 of the cargo oil pump, and then the turbine data and the cargo oil pump data are monitored simultaneously, wherein the turbine data includes the outlet pressure, inlet pressure, outlet temperature, inlet temperature, mass flow rate, rotation speed of the turbine, and opening degree of the gas flow regulating valve 1 of the saturated steam on the turbine, and the cargo oil pump data includes the outlet pressure, inlet pressure, mass flow rate of the outlet liquid cargo, mass flow rate of the inlet liquid cargo, and opening degree of the liquid flow regulating valve 2 of the cargo oil pump;

[0088] Data processing steps: first, the output power Pt of the turbine is calculated based on the turbine data. At the same time, the energy increment W before and after the liquid cargo passes through the cargo pump is calculated based on the cargo pump data, and then the real-time energy efficiency ηr of the turbine cargo pump is calculated: ηr=W / Pt; then the real-time energy efficiency ηr and its corresponding liquid flow control valve 2 opening and gas flow control valve 1 opening are stored, and so on, the real-time energy efficiency ηr, liquid flow control valve 2 opening and gas flow control valve 1 opening under different working conditions are stored to form energy efficiency historical data, and then the multi-objective optimization mathematical model of turbine cargo pump energy efficiency is constructed as follows: Maxηr=f(kL, kt), 0≤kL≤1; 0≤kt≤1; where kL is the opening of the liquid flow control valve 2, and kt is the opening of the gas flow control valve 1; then the mathematical model is trained using the energy efficiency historical data until the training is mature;

[0089] Optimization control steps: firstly, an automatic optimization intelligent algorithm (preferably any one of a genetic algorithm, a neural network algorithm, and a simulated annealing algorithm) is used to find the optimal operating point from a maturely trained mathematical model, and then the liquid flow regulating valve 2 and the gas flow regulating valve 1 opening corresponding to the optimal operating point are respectively controlled on the liquid flow regulating valve 2 and the gas flow regulating valve 1 on the turbine cargo oil pump to be optimized, so as to optimize the operating condition of the turbine cargo oil pump to be optimized.

[0090] Embodiment 2:

[0091] The basic content is the same as that of Example 1, except that:

[0092] The method for obtaining the energy increment W is as follows:

[0093] W = H * QL;

[0094] Among them, H is the head and QL is the mass flow rate of liquid cargo.

[0095] The method for obtaining the lift H is as follows:

[0096]

[0097] Wherein, ρ is the density of liquid cargo, g is the acceleration of gravity, ΔZ is the vertical height difference between the inlet and outlet of the cargo oil pump; Pout is the outlet pressure value of the cargo oil pump, Pin is the inlet pressure value of the cargo oil pump; V1 is the flow rate of liquid cargo through the inlet of the cargo oil pump, and V2 is the flow rate of liquid cargo through the outlet of the oil pump.

[0098] The method for obtaining V1 and V2 is as follows:

[0099]

[0100]

[0101] Among them, D1 and D2 are the pipeline diameters of liquid cargo at the inlet and outlet of the cargo oil pump respectively.

[0102] Embodiment 3:

[0103] The basic content is the same as that of Example 1, except that:

[0104] The method for obtaining the output power Pt is as follows:

[0105] First, check the saturated steam thermal physical property parameter table according to the time-averaged inlet pressure and inlet temperature to obtain the inlet enthalpy value hin, then check the saturated steam thermal physical property parameter table according to the time-averaged outlet pressure and outlet temperature to obtain the outlet enthalpy value hout, and then obtain the turbine output power Pt according to the following calculation method:

[0106] P t =Q w (h in -h out );

[0107] Where Qw is the time-averaged mass flow rate of saturated steam.

[0108] Embodiment 4:

[0109] The basic content is the same as that of Example 1, except that:

[0110] An energy efficiency optimization device for the above-mentioned turbine cargo oil pump energy efficiency optimization method, the energy efficiency optimization device comprising a cargo oil pump monitoring module, a turbine monitoring module, a real-time data storage module, a data calculation module, an energy efficiency historical data storage module and an energy efficiency optimization calculation module;

[0111] The output ends of the cargo oil pump monitoring module and the turbine monitoring module are connected to the input end signal of the real-time data storage module, the output end of the real-time data storage module is connected to the input end signal of the data calculation module, the output end of the data calculation module is connected to the input end signal of the energy efficiency history data storage module, the output end of the energy efficiency history data storage module is connected to the input end signal of the energy efficiency optimization calculation module, and the output end of the energy efficiency optimization calculation module is connected to the control end signal of the gas flow control valve 1 and the liquid flow control valve 2;

[0112] The monitoring objects of the turbine monitoring module are the outlet pressure, inlet pressure, outlet temperature, inlet temperature, mass flow rate, turbine speed, and opening of the gas flow control valve 1 of the saturated steam on the turbine;

[0113] The cargo oil pump monitoring module monitors the cargo oil pump's outlet pressure, inlet pressure, mass flow rate of the outlet liquid cargo, mass flow rate of the inlet liquid cargo, and the opening of the liquid flow regulating valve 2;

[0114] The storage data of the real-time data storage module includes all the data monitored by the cargo oil pump monitoring module and the turbine monitoring module;

[0115] The data calculation module calculates according to the stored data in the real-time data storage module to obtain the output power Pt of the turbine and the energy increment W before and after the cargo oil pump, and then calculates the real-time energy efficiency ηr of the turbine cargo oil pump, and then stores the obtained real-time energy efficiency ηr in the energy efficiency history data storage module;

[0116] The energy efficiency optimization calculation module first constructs a multi-objective optimization mathematical model for energy efficiency of a turbine cargo oil pump according to the energy efficiency historical data stored in the energy efficiency historical data storage module, and performs training until a mature mathematical model is obtained, and then uses an automatic optimization intelligent algorithm to find the optimal operating point from the trained mature mathematical model, and then obtains the opening of the liquid flow control valve 2 and the opening of the gas flow control valve 1 corresponding to the optimal operating point, and controls the liquid flow control valve 2 and the gas flow control valve 1 on the turbine cargo oil pump to be optimized according to the obtained opening of the liquid flow control valve 2 and the opening of the gas flow control valve 1, so as to optimize the operating condition of the turbine cargo oil pump to be optimized.

[0117] The above description is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above embodiment. Any equivalent modifications or changes made by ordinary technicians in this field based on the contents disclosed by the present invention should be included in the protection scope recorded in the claims.

Claims

1. A method for optimizing the energy efficiency of a turbine cargo oil pump, wherein the turbine cargo oil pump is a method in which high-temperature and high-pressure steam enters a turbine to expand and do work to drive the turbine to rotate, and then the rotating turbine drives the cargo oil pump to rotate through a gear box to pump oil. Features The energy efficiency optimization method comprises the following steps: Data monitoring step: firstly, a gas flow control valve (1) is arranged on the gas inlet (11) of the turbine, and a liquid flow control valve (2) is arranged on the liquid outlet (21) of the cargo oil pump, and then the turbine data and the cargo oil pump data are monitored simultaneously, wherein the turbine data includes the outlet pressure, inlet pressure, outlet temperature, inlet temperature, mass flow rate, rotation speed of the turbine saturated steam, and the opening degree of the gas flow control valve (1); and the cargo oil pump data includes the outlet pressure, inlet pressure, mass flow rate of the outlet liquid cargo, mass flow rate of the inlet liquid cargo, and the opening degree of the liquid flow control valve (2); Data processing steps: First, the turbine output power Pt is calculated based on the turbine data. At the same time, the energy increment W before and after the liquid cargo passes through the cargo pump is calculated based on the cargo pump data. Then the real-time energy efficiency ηr of the turbine cargo pump is calculated: ηr=W / Pt; Then the real-time energy efficiency ηr and its corresponding opening of the liquid flow control valve (2) and the opening of the gas flow control valve (1) are stored. Similarly, the real-time energy efficiency ηr, the opening of the liquid flow control valve (2) and the opening of the gas flow control valve (1) under different working conditions are stored to form energy efficiency historical data, and then the multi-objective optimization mathematical model of the turbine cargo oil pump energy efficiency is constructed as follows: Maxηr=f(kL,kt), 0≤kL≤1; 0≤kt≤1; In the formula, kL is the opening of the liquid flow control valve (2), and kt is the opening of the gas flow control valve (1). Then, the mathematical model is trained using the energy efficiency historical data until the training is mature. Optimization control steps: firstly, an automatic optimization intelligent algorithm is used to find the optimal operating point from a maturely trained mathematical model, and then the liquid flow control valve (2) and the gas flow control valve (1) on the turbine cargo oil pump to be optimized are controlled according to the opening of the liquid flow control valve (2) and the opening of the gas flow control valve (1) corresponding to the optimal operating point, so as to optimize the operating condition of the turbine cargo oil pump to be optimized.

2. The method for optimizing the energy efficiency of a turbine cargo oil pump according to claim 1, Features: The automatic optimization intelligent algorithm is any one of a genetic algorithm, a neural network algorithm, and a simulated annealing algorithm.

3. A method for optimizing the energy efficiency of a turbine cargo oil pump according to claim 1 or 2, Features: The method for obtaining the energy increment W is as follows: W=H*Q L ; Among them, H is the head, Q L is the mass flow rate of liquid cargo.

4. The method for optimizing the energy efficiency of a turbine cargo oil pump according to claim 3, Features: The method for obtaining the lift H is as follows: Where ρ is the density of the liquid cargo, g is the acceleration of gravity, ΔZ is the vertical height difference between the inlet and outlet of the cargo oil pump; P out is the outlet pressure of the cargo oil pump, P in V is the inlet pressure of the cargo oil pump; 1 is the flow rate of liquid cargo through the cargo oil pump inlet, V 2 It is the flow rate of liquid cargo through the oil pump outlet.

5. The method for optimizing the energy efficiency of a turbine cargo oil pump according to claim 4, Features: The V 1 、V 2 The method to obtain is as follows: Among them, D 1 , D 2 They are respectively the diameters of the pipelines for liquid cargo at the inlet and outlet of the cargo oil pump.

6. A method for optimizing energy efficiency of a turbine cargo oil pump according to claim 1 or 2, Features: The method for obtaining the output power Pt is as follows: First, check the saturated steam thermal physical property parameter table according to the time-averaged inlet pressure and inlet temperature to obtain the inlet enthalpy value hin, then check the saturated steam thermal physical property parameter table according to the time-averaged outlet pressure and outlet temperature to obtain the outlet enthalpy value hout, and then obtain the turbine output power Pt according to the following calculation method: P t =Q w (h in -h out ); Among them, Q w is the mass flow rate averaged over the saturated steam time.

7. A method for optimizing energy efficiency of a turbine cargo oil pump according to claim 6, Features: The time-averaged inlet pressure and inlet temperature refer to the time average of the inlet pressure and the time average of the inlet temperature, and the time-averaged outlet pressure and outlet temperature refer to the time average of the outlet pressure and the time average of the outlet temperature; the time average is obtained according to the following calculation method: Assuming that the time average value of the outlet pressure within the time range T is to be measured, a data Pi is measured every Δt time, and there are a total of n = T / Δt data. At this time, the time average value to be obtained is:

8. An energy efficiency optimization device comprising the energy efficiency optimization method for a turbine cargo oil pump according to claim 1 or 2, Features: The energy efficiency optimization device includes a cargo oil pump monitoring module, a turbine monitoring module, a real-time data storage module, a data calculation module, an energy efficiency historical data storage module and an energy efficiency optimization calculation module; The output ends of the cargo oil pump monitoring module and the turbine monitoring module are signal-connected to the input end of the real-time data storage module, the output end of the real-time data storage module is signal-connected to the input end of the data calculation module, the output end of the data calculation module is signal-connected to the input end of the energy efficiency history data storage module, the output end of the energy efficiency history data storage module is signal-connected to the input end of the energy efficiency optimization calculation module, and the output end of the energy efficiency optimization calculation module is signal-connected to the control end of the gas flow control valve (1) and the liquid flow control valve (2); The monitoring objects of the turbine monitoring module are the outlet pressure, inlet pressure, outlet temperature, inlet temperature, mass flow rate, turbine speed, and opening degree of the gas flow control valve (1) of the saturated steam on the turbine; The cargo oil pump monitoring module monitors the cargo oil pump's outlet pressure, inlet pressure, outlet liquid cargo mass flow, inlet liquid cargo mass flow, and the opening of the liquid flow regulating valve (2); The storage data of the real-time data storage module includes all the data monitored by the cargo oil pump monitoring module and the turbine monitoring module; The data calculation module calculates according to the stored data in the real-time data storage module to obtain the output power Pt of the turbine and the energy increment W before and after the cargo oil pump, and then calculates the real-time energy efficiency ηr of the turbine cargo oil pump, and then stores the obtained real-time energy efficiency ηr in the energy efficiency history data storage module; The energy efficiency optimization calculation module first constructs a turbine cargo oil pump energy efficiency multi-objective optimization mathematical model based on the energy efficiency historical data stored in the energy efficiency historical data storage module, and performs training until a mature mathematical model is obtained, and then uses an automatic optimization intelligent algorithm to find the optimal operating point from the trained mature mathematical model, and then obtains the opening of the liquid flow control valve (2) and the opening of the gas flow control valve (1) corresponding to the optimal operating point, and controls the liquid flow control valve (2) and the gas flow control valve (1) on the turbine cargo oil pump to be optimized based on the obtained opening of the liquid flow control valve (2) and the opening of the gas flow control valve (1), so as to optimize the operating condition of the turbine cargo oil pump to be optimized.

9. The energy efficiency optimization device for a turbine cargo oil pump according to claim 8, Features: The energy efficiency optimization device also includes an energy efficiency control module, the output end of the energy efficiency optimization calculation module is signal-connected to the input end of the energy efficiency control module, and the output end of the energy efficiency control module is signal-connected to the control end of the gas flow control valve (1) and the liquid flow control valve (2); After obtaining the opening of the liquid flow control valve (2) and the opening of the gas flow control valve (1) corresponding to the optimal operating point, they are first sent to the energy efficiency control module, and then the energy efficiency control module controls the liquid flow control valve (2) and the gas flow control valve (1) on the turbine cargo oil pump to be optimized according to the obtained opening of the liquid flow control valve (2) and the gas flow control valve (1), so as to optimize the operating condition of the turbine cargo oil pump to be optimized.

Images