CN114110434A - Online digital energy-saving diagnosis and regulation and control method and system for LNG receiving station - Google Patents
Online digital energy-saving diagnosis and regulation and control method and system for LNG receiving station Download PDFInfo
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
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- F17C5/00—Methods or apparatus for filling containers with liquefied, solidified, or compressed gases under pressures
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Abstract
The invention relates to an on-line digital energy-saving diagnosis and regulation method and system for an LNG receiving station, which comprises the following steps: acquiring real-time data and historical data of various monitoring media and monitoring parameters on the site of the LNG receiving station; classifying, identifying and online calculating the real-time data and the historical data to obtain energy consumption indexes, energy saving indexes, economic indexes and energy consumption index expected values of various monitoring media and monitoring parameters on the site of the LNG receiving station; the method and the device can be widely applied to the technical fields of production operation, energy-saving optimization and regulation of the LNG receiving station.
Description
Technical Field
The invention relates to an on-line digital energy-saving diagnosis and regulation method and system for an LNG (liquefied natural gas) receiving station, and belongs to the technical field of production operation, energy-saving optimization and regulation of LNG receiving stations.
Background
The LNG receiving station belongs to a low-energy-consumption factory, but the China LNG receiving station mainly adopts a peak regulation type, and faces the working condition requirements that the downstream gas consumption load fluctuates greatly day and night, the gas consumption pressure fluctuation amplitude is high, the difference between the peak and valley of the gas consumption in winter and summer is large, and the small flow output is continuously maintained for several years at the initial stage of operation, so that the operation working conditions of large emission of boil-off gas (BOG) in the factory, high torch emptying capacity, unstable and even stop of the operation of a recondenser, frequent start and stop of the operation of a pump, overlarge seawater circulation quantity, overhigh reactive power of a power supply system and the like become normalized, the selection and arrangement scheme of partial equipment on the upper part is superposed, the problems of overhigh total energy consumption and excessive gas consumption of the whole factory are brought, and the operation cost of the LNG receiving station is high. Therefore, a digital energy metering and energy scheduling optimization system is urgently needed, on one hand, energy consumption of different equipment and different subsystems under different operation conditions is monitored in real time in a classified and indexed manner, abnormity warning and prediction early warning are carried out, on the other hand, operation parameters of a scheduling production line need to be actively optimized, and the energy consumption of the system is optimized and reduced by continuously intervening in a production operation process, so that continuous improvement and iteration are realized, and energy is saved and consumption is reduced to the greatest extent.
The existing method is mainly related to an enterprise-level energy management center, is generally used in high-energy-consumption industries such as power plants, chemical plants and the like, and is particularly concentrated on a heat energy process medium system for heat balance management of the whole plant. However, such methods have only a few attempts in the cryogenic storage and transportation industry of LNG, and are not completely suitable for the field of LNG receiving stations, and such methods are basically characterized by monitoring and counting the energy consumption of equipment and plant units, can only passively record energy data without changing the process flow or replacing new equipment, and have practical application of counting and displaying the energy consumption, and have no direct application in energy consumption scheduling and energy consumption reduction of the whole plant.
Disclosure of Invention
In view of the above problems, the present invention aims to provide an online digital energy-saving diagnosis and regulation method and system for an LNG receiving station, which can scientifically use energy, improve energy utilization rate and reduce energy consumption.
In order to achieve the purpose, the invention adopts the following technical scheme: in a first aspect, an online digital energy-saving diagnosis and regulation method for an LNG receiving station is provided, which includes:
acquiring real-time data and historical data of various monitoring media and monitoring parameters on the site of the LNG receiving station;
classifying, identifying and online calculating the real-time data and the historical data to obtain energy consumption indexes, energy saving indexes, economic indexes and energy consumption index expected values of various monitoring media and monitoring parameters on the site of the LNG receiving station;
and carrying out energy consumption index abnormity early warning on each monitoring medium and monitoring parameter on the LNG receiving station site.
Further, the classifying, identifying and online calculating the real-time data and the historical data to obtain energy consumption indexes, energy saving indexes, economic indexes and energy consumption index expected values of various on-site monitoring media and monitoring parameters of the LNG receiving station includes:
according to the real-time data and the historical data of the LNG receiving station site, physical property calculation is carried out on the monitoring medium of the LNG receiving station site;
according to the real-time data, the historical data and the physical property calculation result of the LNG receiving station site, calculating the monitoring parameters of the discontinuous measuring points and the indirect measuring points of the LNG receiving station site;
determining parameter indexes of control parameters in each working condition of an LNG receiving station site, and calculating theoretical target values and energy consumption target values of monitoring parameters of subsystems, monomer equipment and low-temperature pipelines in the subsystems and the subsystems on the LNG receiving station site on line based on current values of the control parameters of classified working conditions;
calculating on-site monitoring parameters and energy consumption optimization values of the LNG receiving station based on current values of control parameters of classified working conditions according to on-site historical data of the LNG receiving station;
calculating actual energy consumption indexes of each subsystem in the LNG receiving station field and each monomer device and low-temperature pipeline in the subsystem in the LNG receiving station field in real time according to real-time data of the LNG receiving station field;
determining energy-saving indexes corresponding to all monitoring media on the site of the LNG receiving station according to the actual energy consumption indexes of all monitoring media and the corresponding preset energy consumption index difference values; obtaining economic indexes corresponding to the monitoring media according to the energy consumption indexes and the energy saving indexes corresponding to the monitoring media;
and determining the energy consumption index prediction results of each monitoring medium and each monitoring parameter on the site of the LNG receiving station according to the calculated monitoring parameters, the optimized values of the energy consumption and the actual energy consumption indexes.
Further, the classifying, identifying and online calculating the real-time data and the historical data to obtain energy consumption indexes, energy saving indexes, economic indexes and energy consumption index expected values of various on-site monitoring media and monitoring parameters of the LNG receiving station further comprises:
and obtaining the optimal control parameters or the transformation scheme of the cold insulation circulation quantity, the LNG storage tank pressure control parameters, the BOG compressor starting time and load, the recondensor temperature control parameters, the output flow time-sharing control parameters and the output temperature control parameters according to the calculation results.
Further, the energy consumption index abnormity early warning of each monitoring medium and monitoring parameter on the site of the LNG receiving station includes:
carrying out real-time curve monitoring on the temperature, pressure and flow of a neutron system in an LNG receiving station site and energy consumption indexes of monitoring parameters of various classified monomer devices, LNG storage tanks and low-temperature pipelines in subsystems, and carrying out labeling and abnormal early warning on abnormal deviation points;
and when the obtained energy consumption index exceeds a preset energy consumption index threshold value, carrying out energy consumption index abnormity early warning.
In a second aspect, an on-line digital energy-saving diagnosis and regulation and control system for an LNG receiving station is provided, which comprises a production data acquisition server and an on-line diagnosis and regulation and control server;
the production data acquisition server is used for acquiring real-time data and historical data of various monitoring media and monitoring parameters on the site of the LNG receiving station;
the on-line diagnosis and regulation server is used for carrying out classification recognition and on-line calculation on the real-time data and the historical data to obtain energy consumption indexes, energy-saving indexes, economic indexes and energy consumption index expected values of all monitoring media and monitoring parameters on the site of the LNG receiving station, and carrying out energy consumption index abnormity early warning on all monitoring media and monitoring parameters on the site of the LNG receiving station.
Further, the online diagnosis and regulation server is internally provided with:
the real-time monitoring module is used for receiving on-site real-time data and historical data of the LNG receiving station and monitoring energy consumption monitoring data of the power system of the LNG receiving station in real time;
the physical property calculation module is used for calculating the physical property of the monitoring medium on the site of the LNG receiving station according to the real-time data and the historical data on the site of the LNG receiving station;
the indirect measurement point-free parameter calculation module is used for calculating the monitoring parameters of the on-site discontinuous measurement points and the indirect measurement points of the LNG receiving station according to the on-site real-time data, the historical data and the physical property calculation results of the LNG receiving station;
the classification working condition online calculation module is used for determining parameter indexes of control parameters in each working condition of the LNG receiving station on site; on the basis of the current values of the control parameters of the classified working conditions, calculating theoretical target values and energy consumption target values of monitoring parameters of all subsystems, all monomer equipment and low-temperature pipelines in the subsystems in the LNG receiving station site on line;
the on-line calculation module of the parameter target value is used for calculating the on-site monitoring parameters and the optimized values of energy consumption of the LNG receiving station according to the on-site historical data of the LNG receiving station and based on the current values of the control parameters of the classified working conditions;
the on-line energy consumption calculation module is used for calculating the actual energy consumption indexes of each subsystem and each monomer device and low-temperature pipeline in the LNG receiving station in real time according to the real-time data of the LNG receiving station in site;
the on-line energy-saving monitoring module is used for determining energy-saving indexes corresponding to all monitoring media on the site of the LNG receiving station according to the actual energy consumption indexes of all monitoring media and the corresponding preset energy consumption index difference values; obtaining economic indexes corresponding to the monitoring media according to the energy consumption indexes and the energy saving indexes corresponding to the monitoring media;
and the online energy-saving prediction module is used for determining the energy consumption index prediction results of each monitoring medium and monitoring parameter on the site of the LNG receiving station according to the calculation results of the parameter target value online calculation module and the energy consumption online calculation module.
Further, the online diagnosis and regulation server is also internally provided with:
the online energy-saving diagnosis module is used for carrying out real-time curve monitoring on the temperature, pressure and flow of the on-site neutron system of the LNG receiving station and the energy consumption indexes of monitoring parameters of all classified monomer equipment, the LNG storage tank and the low-temperature pipeline in the subsystem, and carrying out marking and abnormal early warning on abnormal deviation points; when the energy consumption index obtained by the online energy-saving monitoring module exceeds a preset energy consumption index threshold value, performing energy consumption index abnormity early warning;
and the online energy-saving optimization regulation and control module is used for obtaining the optimization control parameters or the transformation scheme of the cold insulation circulation quantity, the LNG storage tank pressure control parameter, the starting time and the load of the BOG compressor, the recondensor temperature control parameter, the output flow time-sharing control parameter and the output temperature control parameter according to the calculation results of the classification working condition online calculation module, the parameter target value online calculation module and the energy consumption online calculation module.
Furthermore, the system also comprises a distributed control system data interface machine and a production management system data interface machine;
the distributed control system data interface is used for receiving the real-time data acquired by the production data acquisition server and sending the real-time data to the online diagnosis and regulation server;
the production management system data interface is used for receiving the historical data acquired by the production data acquisition server and sending the historical data to the online diagnosis and regulation server.
In a third aspect, a processing device is provided, which includes computer program instructions, wherein the computer program instructions, when executed by the processing device, are configured to implement the steps corresponding to the above-mentioned LNG receiving station online digital energy-saving diagnosis and regulation method.
In a fourth aspect, a computer readable storage medium is provided, where the computer readable storage medium has stored thereon computer program instructions, where the computer program instructions, when executed by a processor, are configured to implement the steps corresponding to the above-mentioned LNG receiving station online digital energy-saving diagnosis and regulation method.
Due to the adoption of the technical scheme, the invention has the following advantages:
1. due to the fact that the online diagnosis and regulation server is arranged, the blank that energy is used in real time in the production process of the LNG receiving station on site and loss conditions lack quantitative analysis monitoring, diagnosis and optimization can be effectively solved, and data basis is provided for achieving scientific energy utilization, improving energy utilization rate and reducing energy consumption.
2. On the basis of conventional energy metering, statistics and analysis, the invention can optimize the energy consumption modes of three levels of equipment, a system and a whole plant, takes energy conservation and consumption reduction as a second important index for optimizing and scheduling energy conservation and consumption reduction in safe and stable operation as a conventional index, converts passive energy consumption monitoring into active energy utilization scheduling combined with production optimization, takes the energy utilization index classified in historical years as a historical baseline, converts the energy conservation index into a more direct economic index in real time according to classification, achieves the aim of maximally saving energy and reducing consumption, meets the requirements of actively optimizing and scheduling production line operation parameters, continuously intervening in the production operation process to optimize and reduce the energy consumption of the system, and continuously improving and iterating to maximally save energy and reduce consumption.
In conclusion, the method can be widely applied to the technical fields of production operation, energy-saving optimization and regulation of the LNG receiving station.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Like reference numerals refer to like parts throughout the drawings. In the drawings:
FIG. 1 is a schematic diagram of the overall architecture of the system of the present invention;
FIG. 2 is a flow chart of the operation of the online diagnosis and regulation server in the system of the present invention.
Detailed Description
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
It is to be understood that the terminology used herein is for the purpose of describing particular example embodiments only, and is not intended to be limiting. As used herein, the singular forms "a", "an" and "the" may be intended to include the plural forms as well, unless the context clearly indicates otherwise. The terms "comprises," "comprising," "including," and "having" are inclusive and therefore specify the presence of stated features, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, elements, components, and/or groups thereof. The method steps, processes, and operations described herein are not to be construed as necessarily requiring their performance in the particular order described or illustrated, unless specifically identified as an order of performance. It should also be understood that additional or alternative steps may be used.
Although the terms first, second, third, etc. may be used herein to describe various elements, components, regions, layers and/or sections, these elements, components, regions, layers and/or sections should not be limited by these terms. These terms may be only used to distinguish one element, component, region, layer or section from another region, layer or section. Terms such as "first," "second," and other numerical terms when used herein do not imply a sequence or order unless clearly indicated by the context. Thus, a first element, component, region, layer or section discussed below could be termed a second element, component, region, layer or section without departing from the teachings of the example embodiments.
For convenience of description, spatially relative terms, such as "inner", "outer", "lower", "upper", and the like, may be used herein to describe one element or feature's relationship to another element or feature as illustrated in the figures. Such spatially relative terms are intended to encompass different orientations of the device in use or operation in addition to the orientation depicted in the figures.
The LNG receiving station is explained as follows:
the LNG receiving station includes an LNG unloading system, an LNG cold-holding circulation system, an LNG storage tank system, a boil-off gas BOG compressor system (to which LNG is converted by boil-off gas), a BOG recondenser system (to which BOG is cooled down and converted into LNG), a high-pressure export system (to which LNG is converted by heat-up gasification into gaseous natural gas), and a seawater system for heating LNG to be gasified.
The online digital energy-saving diagnosis and regulation method and system for the LNG receiving station, provided by the embodiment of the invention, can solve the problems of real-time energy utilization and lack of quantitative analysis, monitoring, diagnosis and optimization of loss conditions in the production process of the LNG receiving station, and provide a data basis for realizing scientific energy utilization, improving the energy utilization rate and reducing the energy consumption.
Example 1
As shown in fig. 1, the online digital energy-saving diagnosis and Control System for an LNG receiving station provided by the present invention includes a Production Data acquisition (DMP) server, an online diagnosis and Control server, a client, a portable computer, a Distributed Control System (DCS) Data interface machine, and a Power Production Management System (PMS) Data interface machine.
The production data acquisition server and the online diagnosis and regulation server are arranged on a data layer, the client computer and the portable computer are arranged on an application layer, and the DCS data interface machine and the PMS data interface machine are arranged on a field layer.
The production data acquisition server is used for acquiring real-time data and historical data of various monitoring media and monitoring parameters on site of the LNG receiving station, transmitting the real-time data to the DCS data interface machine and transmitting the historical data to the PMS data interface machine, wherein the monitoring media comprise LNG, evaporated gas, electricity, nitrogen, seawater, factory water, fuel gas, diesel oil and air, and the monitoring parameters comprise temperature, pressure, flow, liquid level, density, components, flow rate, power, valve opening and switching state, real-time power and motor load rate, 110kV/6kV/380V three-section bus real-time power, switching state, bus input power, total output power and load rate.
The online diagnosis and regulation server is used for monitoring real-time data in the DCS data interface machine and historical data in the PMS data interface machine, classifying, identifying and online calculating the real-time data and the historical data to obtain energy consumption indexes, energy-saving indexes, economic indexes and energy consumption index expected values of all monitoring media and monitoring parameters on the site of the LNG receiving station, performing energy consumption index abnormity early warning on all monitoring media and monitoring parameters on the site of the LNG receiving station, and sending the calculation result to a client and a portable computer through the production data acquisition server.
And the client and the portable computer are used for remotely inquiring the energy consumption index, the energy-saving index and the economic index of each monitoring medium and monitoring parameter on the site of the LNG receiving station.
In a preferred embodiment, as shown in fig. 2, a real-time monitoring module, a physical property calculating module, a non-measuring point parameter indirect calculating module, a classified condition online calculating module, a parameter target value online calculating module, an energy consumption online calculating module, an online energy-saving monitoring module, an online energy-saving diagnosing module, an online energy-saving predicting module and an online energy-saving optimization regulating module are arranged in the online diagnosis and regulation server.
The real-time monitoring module is used for monitoring field historical data of the LNG receiving station from the PMS data interface machine and forming a historical database, monitoring field real-time data of the LNG receiving station from the DCS data interface machine and monitoring energy consumption monitoring data of a power system of the LNG receiving station in real time.
The property calculation module is configured to use a conventional fitting mathematical relationship in the property calculation model (e.g., density can be expressed as a polynomial fitting function of temperature: density a + B T + C T)2+D*T3Or density ═ a + B ═ T2) And (C) T-D), A, B, C, D are fitting constants, and the like, different fitting formulas can be given by different specifications, and physical property calculation of parameters such as temperature, pressure, density, enthalpy value, calorific value and the like is carried out on the LNG, seawater, fuel gas, liquid nitrogen and nitrogen at the LNG receiving station site according to the formed historical database and the monitored real-time data.
The non-measuring point parameter indirect calculation module is used for adopting conventional difference calculation and conventional fitting mathematical relation (can be a linear fitting formula, for example, the density can be expressed by a polynomial fitting function of the temperature: the density is A + B T + C T)2+D*T3A, B, C, D are fitting constants, etc.), and according to the formed historical database, the monitored real-time data and the physical property calculation results, the parameters such as temperature, pressure, flow, density, heat value, flow speed, power and the like are calculated for the discontinuous measurement points and the indirect measurement points of the LNG receiving station.
The classification working condition on-line calculation module is used for dividing the processing conditions of the LNG receiving station field boil-Off Gas (BOG) into six working conditions of ship unloading working conditions (cold insulation stopping circulation), zero out-delivery working conditions (BOG emptying), zero Gas out-delivery working conditions (only liquid out-delivery), minimum out-delivery working conditions (BOG complete processing), day and night peak regulation out-delivery working conditions (pump starting and stopping operation) and guarantee period out-delivery working conditions (day and night Gas peak), and determining the parameter indexes of cold insulation circulation amount, LNG storage tank pressure control parameters, start-up time and load of a BOG compressor, recondensor temperature control parameters, output flow time-sharing control parameters and output temperature control parameters in each working condition according to the operation experience optimization result; the classification working condition online calculation model module is also used for adopting a material simulation engine to online calculate theoretical target values and energy consumption target values of parameters such as temperature, pressure, flow and power of each subsystem and each monomer device and low-temperature pipeline in the LNG receiving station site based on the current values of the control parameters of the classification working conditions, wherein the operation experience optimization result can be manually set according to operation experience, and the parameter indexes of the LNG storage tank pressure control parameters are taken as an example, and can be respectively set as follows under six working conditions: 25-30 kPA, 22-27 kPA, 27-35 kPA, 30-40 kPA, 15-20 kPA and 12-17 kPA. The subsystems of the LNG receiving station site comprise an LNG unloading system, an LNG cold insulation circulating system, an LNG storage tank system, a BOG compressor system, a recondensor system, a high-pressure output system, a seawater system, a tank car system, a flare system and a nitrogen system.
The parameter target value on-line calculation module is used for calculating parameters such as temperature, pressure, flow, power and the like and optimized values of energy consumption of the LNG receiving station on site according to historical data of the LNG receiving station on site and a fitted mathematical relation obtained by an operation optimization test and based on the current values of control parameters of classified working conditions by adopting a classified single equipment parameter target value on-line calculation model, an LNG storage tank parameter target value on-line calculation model, a low-temperature pipeline parameter target value on-line calculation model and a parameter target value on-line calculation model of each subsystem.
The energy consumption online calculation module is used for calculating the actual energy consumption indexes of each subsystem and each monomer device and each low-temperature pipeline in the LNG receiving station site in real time by taking 15 minutes and hours as units according to the real-time data of the LNG receiving station site by adopting a classified monomer device energy consumption online calculation model, an LNG storage tank energy consumption online calculation model, a low-temperature pipeline energy consumption online calculation model and each subsystem energy consumption online calculation model.
The online energy-saving monitoring module is used for counting calculated values of the classified monomer equipment energy consumption online calculation model, the LNG storage tank energy consumption online calculation model, the low-temperature pipeline energy consumption online calculation model, the subsystem energy consumption online calculation models and power system energy consumption monitoring data, taking 15 minutes and hours as units to serve as energy consumption indexes corresponding to monitoring media on the site of the LNG receiving station, summing actual energy consumption indexes (namely energy consumption indexes counted by taking 15 minutes and hours as units) of the monitoring media and corresponding preset energy consumption index differences to energy saving indexes corresponding to the monitoring media on the site of the LNG receiving station, and taking days, weeks, months and years as units to sum and count the energy saving indexes. The online energy-saving monitoring module is further configured to obtain economic indicators (i.e., the sum of the energy consumption indicators and the energy-saving indicators and the corresponding actual prices) corresponding to the monitoring media according to the energy consumption indicators and the energy-saving indicators corresponding to the monitoring media and the actual prices of the monitoring media.
The online energy-saving diagnosis module is used for carrying out real-time curve monitoring on energy consumption indexes of monitoring parameters such as temperature, pressure and flow of ten subsystems in an LNG receiving station site and temperature, pressure and flow of each classified monomer device, an LNG storage tank and a low-temperature pipeline in the ten subsystems in units of 15 minutes, hours and days, carrying out annotation and abnormal early warning on abnormal deviation points, carrying out curve comparison of the real-time curve monitoring result and the calculation result of the parameter target value online calculation module at the same time point, and carrying out energy consumption deviation analysis and energy-saving potential evaluation manually; the online energy-saving diagnosis module is also used for carrying out energy consumption index abnormity early warning when the energy consumption index obtained by the online energy-saving monitoring module exceeds a preset energy consumption index threshold value, manually identifying and carrying out equipment and pipeline performance maintenance.
The online energy-saving prediction module is used for determining the temperature, pressure and flow of ten subsystems in the LNG receiving station site and the energy consumption index expected values of monitoring parameters such as the temperature, pressure and flow of each classified monomer device, the LNG storage tank and the low-temperature pipeline in the ten subsystems according to the calculation results of the parameter target value online calculation module and the energy consumption online calculation module based on the change judgment and manual presetting of the production working condition, deducting or increasing the average difference value of the historical data and the calculation results of the corresponding parameter target value online calculation module, and generating the energy consumption index trend curve prediction results of each monitoring medium and monitoring parameter in the LNG receiving station site. The method can also form the energy consumption index trend curve prediction result of each monitoring medium and each monitoring parameter daily planned working condition on the site of the LNG receiving station for the working condition of prejudging production 24 hours in advance.
The on-line energy-saving optimization regulation and control module is used for carrying out parameter adjustment performance tests on controllable parameters such as the cold insulation circulation quantity, the LNG storage tank pressure control parameter, the BOG compressor starting time and load, the recondensor temperature control parameter, the output flow time-sharing control parameter and the output temperature control parameter according to the energy consumption index abnormity early warning, the energy consumption deviation analysis and the energy saving potential evaluation of the on-line energy-saving diagnosis module, namely obtaining the optimization control parameters or the transformation scheme (changing the local process flow) of the cold insulation circulation quantity, the LNG storage tank pressure control parameter, the BOG compressor starting time and load, the recondensor temperature control parameter, the output flow time-sharing control parameter and the output temperature control parameter according to the calculation results of the classification working condition on-line calculation module, the parameter target value on-line calculation module and the energy consumption on-line calculation module based on the self-fitting method of the general neural network training, and determining the regulation and control decision, economic operation and energy-saving transformation scheme of the on-site production line operation parameters and the equipment number of the LNG receiving station according to the obtained optimized control parameters or transformation scheme.
Example 2
The embodiment provides an online digital energy-saving diagnosis and regulation method for an LNG receiving station, which comprises the following steps:
1) and acquiring real-time data and historical data of various monitoring media and monitoring parameters on the site of the LNG receiving station.
2) And forming a historical database by using historical data of the LNG receiving station on site.
3) And (3) performing physical property calculation on parameters such as temperature, pressure, density, enthalpy value, calorific value and the like on the LNG, seawater, fuel gas, liquid nitrogen and nitrogen by adopting a conventional fitting mathematical relation in the physical property calculation model according to a formed historical database and monitored real-time data.
4) And calculating parameters such as temperature, pressure, flow, density, heat value, flow rate, power and the like of the discontinuous measuring points and the indirect measuring points of the LNG receiving station on site by adopting a conventional difference value calculation and a conventional fitting mathematical relation in a non-measuring point parameter indirect calculation model according to a formed historical database, monitored real-time data and a physical property calculation result.
5) Dividing the processing condition of the LNG receiving station on-site evaporation gas into six working conditions of an unloading working condition, a zero-out-delivery working condition, a zero-gas-state out-delivery working condition, a minimum out-delivery working condition, a day and night peak-regulation out-delivery working condition and an output working condition in a guarantee period, and determining the parameter indexes of a cold-insulation circulation quantity, an LNG storage tank pressure control parameter, the starting time and load of a BOG compressor, a recondenser temperature control parameter, an output flow time-sharing control parameter and an output temperature control parameter in each working condition according to an operation experience optimization result. And the classification working condition on-line calculation model module also adopts an ASPEN material simulation engine, and on the basis of the initial parameters and the control parameters of the classification working conditions, the theoretical target values and the energy consumption target values of the temperature, the pressure, the flow, the power and other parameters of each subsystem and each monomer device and low-temperature pipeline in the LNG receiving station on site are calculated on line.
6) The method comprises the following steps of adopting a classified monomer equipment parameter target value online calculation model, an LNG storage tank parameter target value online calculation model, a low-temperature pipeline parameter target value online calculation model and each subsystem parameter target value online calculation model, and quickly calculating empirical optimization values of parameters such as temperature, pressure, flow and power and energy consumption based on initial parameters according to historical data and a fitting mathematical relation obtained by an operation optimization test:
taking the optimized start-stop time of the output production line of the LNG receiving station as an example, the fitting mathematical relation comprises the following steps:
wherein, P0Representing the receiving station outlet initial pressure (Bar); p1Represents the receiving station outlet pressure (Bar) at start-up; delta P0Representing the pressure drop per hour (Bar/h) at the outlet of the receiving station before starting the line; delta P1The pressure drop per hour (Bar/h) of the outlet of the receiving station after the line is started is shown; t is1Representing the time interval (h) from the current time to the starting time of the line; t is2Represents the time interval (h) from the start of the line to the 23 o' clock of the day; delta PKThe empirical value of the pressure change of the outlet of the receiving station after the line is started and stopped is about 1.4(Bar/h), and the empirical value is a positive value when the line is started and a negative value when the line is stopped.
Taking the total power consumption calculation during ship unloading as an example, fitting a mathematical relation comprises:
pump power of the LNG low-pressure delivery pump:
wherein L ispump(Qrec) Represents a group of atoms to QrecThe affected pump power (W); Δ p (Q)rec) Represents a group of atoms to QrecThe pressure loss (Pa) of the inlet and outlet of the cold insulation pipeline; s represents a safety factor; etapumpRepresents pump efficiency; etamotorRepresents motor efficiency; qrecRepresenting the total volumetric flow of LNG for the cold retention cycle.
Power of low temperature boil-off gas BOG compressor:
wherein L ispump(Qrec,qbr) Represents a group of atoms to QrecAnd q isbrThe affected compressor power (W); k represents a specific heat ratio; qI(Qrec,qbr) Represents a group of atoms to QrecAnd q isbr(ii) the effected BOG volumetric flow (m 3/h); p is a radical ofIRepresents the compressor inlet pressure (Pa); p is a radical ofORepresents the compressor outlet pressure (Pa); etaBRepresents mechanical efficiency; q. q.sbrRepresenting the bypass line LNG volumetric flow during the cold holding cycle.
Total power consumption for one ship unloading cycle:
wherein, WT(Qrec,qbr) Represents a group of atoms to QrecAnd q isbrTotal power consumption of the ship unloading period (kW. h) affected;
represents a group of atoms to QrecAnd q isbr(ii) an affected cold-retention cycle stage compressor power (W);
represents a group of atoms to QrecAnd q isbrThe compressor power (W) of the affected ship unloading stage; t represents the ship unloading period (h); t isunlRepresents the time (h) to unload the ship.
Taking the empirical optimization value calculation of the operation load of the open-frame seawater vaporizer under the low-temperature environment as an example, the fitting mathematical relation comprises the following steps:
the method comprises the following steps of testing different maximum load operation data under the condition that the output pressure is 4.7MPa, and forcing a curve fitted under the condition that the treatment capacity of the open rack type seawater vaporizer is 0 when the seawater temperature is 1 ℃ and the functional relation between the maximum operation load and the seawater temperature:
F(T)＝-136.207+193.388T-69.3271T2+13.7642T3-1.01299T4 (5)
wherein T represents the seawater temperature.
7) The method comprises the following steps of adopting a classified monomer equipment energy consumption online calculation model, an LNG storage tank energy consumption online calculation model, a low-temperature pipeline energy consumption online calculation model and each subsystem energy consumption online calculation model, calculating actual energy consumption indexes of each subsystem and each monomer equipment and low-temperature pipeline in an LNG receiving station site in real time by taking 15 minutes and hours as units according to initial parameters and current parameters in real time data:
the BOG evaporation capacity of the storage tank is as follows:
wherein,
represents the BOG evaporation capacity (m3/h) of the storage tank; vLNGRepresents the LNG volume (m3) in the storage tank; rhoLNGDenotes the LNG density (kg/m 3); e.g. of the typetankRepresenting the daily evaporation rate of the storage tank; rhoBOGIndicates the BOG density (kg/m 3).
The power of the low-temperature boil-off gas BOG compressor is as follows:
wherein, WpumpRepresents the low-pressure pump power consumption (W); qpumpRepresents the volume flow (m3/s) of the low-pressure pump output LNG; pdropRepresenting a low pressure pump pressure drop (Pa); s represents a safety factor; etapumpRepresents low pressure pump efficiency; etamotorIndicating motor efficiency.
The power consumption of the low-temperature boil-off gas BOG compressor is as follows:
wherein, WcomRepresents compressor power consumption (W); pBRepresenting the compressor power (W); k represents a gas adiabatic index; qpumpRepresents the volume flow of BOG processed by the compressor, m 3/s; p0、P1Represents the compressor inlet and outlet pressure (Pa); etaBIndicating compressor efficiency.
8) And counting the calculated values of the classified monomer equipment energy consumption online calculation model, the LNG storage tank energy consumption online calculation model, the low-temperature pipeline energy consumption online calculation model, the subsystem energy consumption online calculation model and the power system energy consumption monitoring data by taking 15 minutes and hours as units to be energy consumption indexes corresponding to all monitoring media on the site of the LNG receiving station, summing the actual energy consumption indexes of all the monitoring media and the energy consumption index difference values preset correspondingly to be energy saving indexes corresponding to all the monitoring media on the site of the LNG receiving station, and summing and counting the accumulated day, week, month and year statistical indexes.
9) And obtaining the economic indexes corresponding to the monitoring media according to the energy consumption indexes and the energy saving indexes corresponding to the monitoring media and the actual prices of the monitoring media.
10) And monitoring parameters such as temperature, pressure and flow and energy consumption indexes of the classified monomer equipment, the LNG storage tank, the low-temperature pipeline and the ten subsystems in the LNG receiving station site are subjected to real-time curve monitoring by taking 15 minutes, hours and days as units, and abnormal deviation points are labeled and subjected to abnormal early warning.
11) Performing curve comparison of the real-time curve monitoring result and the parameter target value online calculation result at the same time point, and performing energy consumption deviation analysis and energy-saving potential evaluation manually; and when the obtained energy consumption index exceeds a preset energy consumption index threshold value, carrying out energy consumption index abnormity early warning, manually identifying and carrying out equipment and pipeline performance maintenance.
12) Based on the change judgment and manual presetting of the production working condition, according to the parameter target value online calculation result and the energy consumption online calculation result, calculating the monitoring parameters such as temperature, pressure and flow of the classified monomer equipment, the LNG storage tank, the low-temperature pipeline and the ten subsystems and the expected value of the energy consumption index, deducting or increasing the average difference value of the historical data and the calculation result of the corresponding parameter target value online calculation module, and generating the energy consumption index trend curve prediction result of each monitoring medium and monitoring parameter on the site of the LNG receiving station.
13) According to the energy consumption index abnormity early warning, the energy consumption deviation analysis and the energy-saving potential evaluation, parameter adjustment performance tests are carried out on controllable parameters such as the cold insulation circulation quantity, the LNG storage tank pressure control parameter, the BOG compressor starting time and load, the recondenser temperature control parameter, the output flow time-sharing control parameter and the output temperature control parameter, the optimal control parameters or the transformation scheme of the cold insulation circulation quantity, the LNG storage tank pressure control parameter, the BOG compressor starting time and load, the recondenser temperature control parameter, the output flow time-sharing control parameter and the output temperature control parameter are obtained, and the regulation decision, the economic operation and the energy-saving transformation scheme of the LNG receiving station field production line operation parameters and the equipment number are determined according to the obtained optimal control parameters or the transformation scheme.
14) The method comprises the steps of manually inputting the Control decision, the economic operation and the energy-saving transformation scheme of the operation parameters and the number of equipment of the on-site production line of the LNG receiving station into a Distributed Control System (DCS), which is a Control center of the LNG receiving station and is a commercial complete set of integrated Control equipment, so as to remotely change the Control operation parameters and enter a new cycle.
Example 3
This embodiment provides a processing device corresponding to the on-line digital energy-saving diagnosis and regulation and control method of the LNG receiving station provided in embodiment 1, where the processing device may be a processing device for a client, such as a mobile phone, a laptop, a tablet computer, a desktop computer, and the like, so as to execute the method of embodiment 1.
The processing equipment comprises a processor, a memory, a communication interface and a bus, wherein the processor, the memory and the communication interface are connected through the bus so as to complete mutual communication. The memory stores a computer program capable of running on the processing device, and the processing device executes the online digital energy-saving diagnosis and regulation and control method for the LNG receiving station provided in this embodiment 1 when running the computer program.
In some implementations, the Memory may be a high-speed Random Access Memory (RAM), and may also include a non-volatile Memory, such as at least one disk Memory.
In other implementations, the processor may be various general-purpose processors such as a Central Processing Unit (CPU), a Digital Signal Processor (DSP), and the like, and is not limited herein.
Example 4
The present embodiment provides a computer program product corresponding to the LNG receiving station online digital energy-saving diagnosis and regulation method provided in this embodiment 1, and the computer program product may include a computer readable storage medium on which computer readable program instructions for executing the LNG receiving station online digital energy-saving diagnosis and regulation method described in this embodiment 1 are loaded.
The computer readable storage medium may be a tangible device that retains and stores instructions for use by an instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory device, or any combination of the foregoing.
The above embodiments are only used for illustrating the present invention, and the structure, connection mode, manufacturing process, etc. of the components may be changed, and all equivalent changes and modifications performed on the basis of the technical solution of the present invention should not be excluded from the protection scope of the present invention.
Claims (10)
1. An on-line digital energy-saving diagnosis and regulation method for an LNG receiving station is characterized by comprising the following steps:
acquiring real-time data and historical data of various monitoring media and monitoring parameters on the site of the LNG receiving station;
classifying, identifying and online calculating the real-time data and the historical data to obtain energy consumption indexes, energy saving indexes, economic indexes and energy consumption index expected values of various monitoring media and monitoring parameters on the site of the LNG receiving station;
and carrying out energy consumption index abnormity early warning on each monitoring medium and monitoring parameter on the LNG receiving station site.
2. The on-line digital energy-saving diagnosis and regulation and control method for the LNG receiving station, as claimed in claim 1, wherein the classifying, identifying and on-line calculating are performed on the real-time data and the historical data to obtain energy consumption indexes, energy-saving indexes, economic indexes and energy consumption index expected values of monitoring media and monitoring parameters of the LNG receiving station on site, comprising:
according to the real-time data and the historical data of the LNG receiving station site, physical property calculation is carried out on the monitoring medium of the LNG receiving station site;
according to the real-time data, the historical data and the physical property calculation result of the LNG receiving station site, calculating the monitoring parameters of the discontinuous measuring points and the indirect measuring points of the LNG receiving station site;
determining parameter indexes of control parameters in each working condition of an LNG receiving station site, and calculating theoretical target values and energy consumption target values of monitoring parameters of subsystems, monomer equipment and low-temperature pipelines in the subsystems and the subsystems on the LNG receiving station site on line based on current values of the control parameters of classified working conditions;
calculating on-site monitoring parameters and energy consumption optimization values of the LNG receiving station based on current values of control parameters of classified working conditions according to on-site historical data of the LNG receiving station;
calculating actual energy consumption indexes of each subsystem in the LNG receiving station field and each monomer device and low-temperature pipeline in the subsystem in the LNG receiving station field in real time according to real-time data of the LNG receiving station field;
determining energy-saving indexes corresponding to all monitoring media on the site of the LNG receiving station according to the actual energy consumption indexes of all monitoring media and the corresponding preset energy consumption index difference values; obtaining economic indexes corresponding to the monitoring media according to the energy consumption indexes and the energy saving indexes corresponding to the monitoring media;
and determining the energy consumption index prediction results of each monitoring medium and each monitoring parameter on the site of the LNG receiving station according to the calculated monitoring parameters, the optimized values of the energy consumption and the actual energy consumption indexes.
3. The on-line digital energy-saving diagnosis and regulation and control method for the LNG receiving station as claimed in claim 2, wherein the real-time data and the historical data are classified, identified and calculated on-line to obtain energy consumption indexes, energy-saving indexes, economic indexes and energy consumption index expected values of monitoring media and monitoring parameters of the LNG receiving station on site, further comprising:
and obtaining the optimal control parameters or the transformation scheme of the cold insulation circulation quantity, the LNG storage tank pressure control parameters, the BOG compressor starting time and load, the recondensor temperature control parameters, the output flow time-sharing control parameters and the output temperature control parameters according to the calculation results.
4. The on-line digital energy-saving diagnosis and regulation and control method for the LNG receiving station as claimed in claim 1, wherein the energy consumption index abnormality early warning for each monitoring medium and monitoring parameter of the LNG receiving station on site comprises:
carrying out real-time curve monitoring on the temperature, pressure and flow of a neutron system in an LNG receiving station site and energy consumption indexes of monitoring parameters of various classified monomer devices, LNG storage tanks and low-temperature pipelines in subsystems, and carrying out labeling and abnormal early warning on abnormal deviation points;
and when the obtained energy consumption index exceeds a preset energy consumption index threshold value, carrying out energy consumption index abnormity early warning.
5. An on-line digital energy-saving diagnosis and regulation system of an LNG receiving station is characterized by comprising a production data acquisition server and an on-line diagnosis and regulation server;
the production data acquisition server is used for acquiring real-time data and historical data of various monitoring media and monitoring parameters on the site of the LNG receiving station;
the on-line diagnosis and regulation server is used for carrying out classification recognition and on-line calculation on the real-time data and the historical data to obtain energy consumption indexes, energy-saving indexes, economic indexes and energy consumption index expected values of all monitoring media and monitoring parameters on the site of the LNG receiving station, and carrying out energy consumption index abnormity early warning on all monitoring media and monitoring parameters on the site of the LNG receiving station.
6. The on-line digital energy-saving diagnosis and regulation system of the LNG receiving station as claimed in claim 5, wherein the on-line diagnosis and regulation server is internally provided with:
the real-time monitoring module is used for receiving on-site real-time data and historical data of the LNG receiving station and monitoring energy consumption monitoring data of the power system of the LNG receiving station in real time;
the physical property calculation module is used for calculating the physical property of the monitoring medium on the site of the LNG receiving station according to the real-time data and the historical data on the site of the LNG receiving station;
the indirect measurement point-free parameter calculation module is used for calculating the monitoring parameters of the on-site discontinuous measurement points and the indirect measurement points of the LNG receiving station according to the on-site real-time data, the historical data and the physical property calculation results of the LNG receiving station;
the classification working condition online calculation module is used for determining parameter indexes of control parameters in each working condition of the LNG receiving station on site; on the basis of the current values of the control parameters of the classified working conditions, calculating theoretical target values and energy consumption target values of monitoring parameters of all subsystems, all monomer equipment and low-temperature pipelines in the subsystems in the LNG receiving station site on line;
the on-line calculation module of the parameter target value is used for calculating the on-site monitoring parameters and the optimized values of energy consumption of the LNG receiving station according to the on-site historical data of the LNG receiving station and based on the current values of the control parameters of the classified working conditions;
the on-line energy consumption calculation module is used for calculating the actual energy consumption indexes of each subsystem and each monomer device and low-temperature pipeline in the LNG receiving station in real time according to the real-time data of the LNG receiving station in site;
the on-line energy-saving monitoring module is used for determining energy-saving indexes corresponding to all monitoring media on the site of the LNG receiving station according to the actual energy consumption indexes of all monitoring media and the corresponding preset energy consumption index difference values; obtaining economic indexes corresponding to the monitoring media according to the energy consumption indexes and the energy saving indexes corresponding to the monitoring media;
and the online energy-saving prediction module is used for determining the energy consumption index prediction results of each monitoring medium and monitoring parameter on the site of the LNG receiving station according to the calculation results of the parameter target value online calculation module and the energy consumption online calculation module.
7. The on-line digital energy-saving diagnosis and regulation system of the LNG receiving station as claimed in claim 6, wherein the on-line diagnosis and regulation server further comprises:
the online energy-saving diagnosis module is used for carrying out real-time curve monitoring on the temperature, pressure and flow of the on-site neutron system of the LNG receiving station and the energy consumption indexes of monitoring parameters of all classified monomer equipment, the LNG storage tank and the low-temperature pipeline in the subsystem, and carrying out marking and abnormal early warning on abnormal deviation points; when the energy consumption index obtained by the online energy-saving monitoring module exceeds a preset energy consumption index threshold value, performing energy consumption index abnormity early warning;
and the online energy-saving optimization regulation and control module is used for obtaining the optimization control parameters or the transformation scheme of the cold insulation circulation quantity, the LNG storage tank pressure control parameter, the starting time and the load of the BOG compressor, the recondensor temperature control parameter, the output flow time-sharing control parameter and the output temperature control parameter according to the calculation results of the classification working condition online calculation module, the parameter target value online calculation module and the energy consumption online calculation module.
8. The on-line digital energy-saving diagnosis and regulation system for the LNG receiving station as claimed in claim 5, wherein the system further comprises a distributed control system data interface machine and a production management system data interface machine;
the distributed control system data interface is used for receiving the real-time data acquired by the production data acquisition server and sending the real-time data to the online diagnosis and regulation server;
the production management system data interface is used for receiving the historical data acquired by the production data acquisition server and sending the historical data to the online diagnosis and regulation server.
9. A processing device comprising computer program instructions, wherein the computer program instructions, when executed by the processing device, are adapted to implement the steps corresponding to the method for on-line digital energy-saving diagnosis and regulation of an LNG receiving station of any one of claims 1 to 4.
10. A computer readable storage medium having stored thereon computer program instructions, wherein the computer program instructions, when executed by a processor, are configured to implement the steps corresponding to the LNG receiving station online digital energy saving diagnosis and regulation method of any one of claims 1 to 4.
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| CN114674114A (en) * | 2022-03-23 | 2022-06-28 | 中海石油气电集团有限责任公司 | Intelligent monitoring and operation optimization method and system for LNG liquefaction process |
| CN114674114B (en) * | 2022-03-23 | 2023-12-05 | 中海石油气电集团有限责任公司 | Intelligent monitoring and operation optimizing method and system for LNG liquefaction process |
| CN114877250A (en) * | 2022-05-05 | 2022-08-09 | 成都秦川物联网科技股份有限公司 | Intelligent gas supply method and device for vaporization automatic control type LNG distributed energy Internet of things |
| CN114877250B (en) * | 2022-05-05 | 2023-05-19 | 成都秦川物联网科技股份有限公司 | Intelligent gas supply method and device for vaporization self-control LNG distributed energy Internet of things |
| CN114967887A (en) * | 2022-08-01 | 2022-08-30 | 中国工业互联网研究院 | Energy consumption management method, device and equipment based on industrial intelligence and storage medium |
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