CN114110434B - Online digital energy-saving diagnosis and regulation method and system for LNG receiving station - Google Patents
Online digital energy-saving diagnosis and regulation method and system for LNG receiving station Download PDFInfo
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Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
- F17D—PIPE-LINE SYSTEMS; PIPE-LINES
- F17D3/00—Arrangements for supervising or controlling working operations
- F17D3/01—Arrangements for supervising or controlling working operations for controlling, signalling, or supervising the conveyance of a product
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
- F17C—VESSELS FOR CONTAINING OR STORING COMPRESSED, LIQUEFIED OR SOLIDIFIED GASES; FIXED-CAPACITY GAS-HOLDERS; FILLING VESSELS WITH, OR DISCHARGING FROM VESSELS, COMPRESSED, LIQUEFIED, OR SOLIDIFIED GASES
- F17C5/00—Methods or apparatus for filling containers with liquefied, solidified, or compressed gases under pressures
- F17C5/02—Methods or apparatus for filling containers with liquefied, solidified, or compressed gases under pressures for filling with liquefied gases
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
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- F17D5/00—Protection or supervision of installations
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
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- F17D5/00—Protection or supervision of installations
- F17D5/005—Protection or supervision of installations of gas pipelines, e.g. alarm
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
- F17C—VESSELS FOR CONTAINING OR STORING COMPRESSED, LIQUEFIED OR SOLIDIFIED GASES; FIXED-CAPACITY GAS-HOLDERS; FILLING VESSELS WITH, OR DISCHARGING FROM VESSELS, COMPRESSED, LIQUEFIED, OR SOLIDIFIED GASES
- F17C2221/00—Handled fluid, in particular type of fluid
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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, comprising the following steps: acquiring real-time data and historical data of each monitoring medium and monitoring parameter of an LNG receiving station site; classifying, identifying and online calculating the real-time data and the historical data to obtain energy consumption indexes, energy saving indexes, economic indexes and expected values of the energy consumption indexes of all monitoring mediums and monitoring parameters of the LNG receiving station on site; the method and the device for early warning the abnormal energy consumption index of each monitoring medium and each monitoring parameter in the LNG receiving station field 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 fields of production operation, energy-saving optimization and regulation of the LNG receiving station.
Background
The LNG receiving station belongs to a low-energy-consumption factory, but the LNG receiving station in China mainly takes peak regulation, and faces the working condition demands that the downstream gas load fluctuates greatly day and night, the fluctuation amplitude of the gas pressure is high, the peak-valley difference of the gas consumption in winter and summer is large, and the small flow output is maintained continuously for several years in the initial period of production, so that the problems of large emission of evaporation gas (BOG) in the factory, high flare venting, unstable operation even stop of a recondenser, frequent start-stop of operation of a pump, overlarge sea water circulation amount, overhigh reactive power of a power supply system and the like are solved, the selection and arrangement schemes of the upper part of equipment are not reasonable, the problems of overhigh total energy consumption and excessive gas loss of the whole factory are caused, and the operation cost of the LNG receiving station is directly caused to be high. Therefore, a digitized energy metering and energy scheduling optimizing system is urgently needed, on one hand, the energy consumption of different equipment and different subsystems under different operation conditions is monitored in real time by classifying and dividing indexes to perform abnormality alarming and predictive early warning, and on the other hand, the operating parameters of a production line are required to be actively optimized and scheduled, and the production operation process is continuously involved to optimize and reduce the energy consumption of the system so as to continuously improve and iterate, thereby saving energy and reducing consumption 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 thermal energy process medium system and used for heat balance management of the whole plant. However, there are only a few attempts in LNG such cryogenic storage industry, and they are not fully suitable for LNG receiving station field, and they are characterized by monitoring the energy consumption and statistics of equipment and workshop units, and only can passively record energy consumption data without changing process flow or changing new equipment, and practical use is statistics and display, and there is no direct function for energy consumption scheduling and energy consumption reduction in whole plants.
Disclosure of Invention
Aiming at the problems, the invention aims to provide an on-line digital energy-saving diagnosis and regulation method and system for an LNG receiving station, which can scientifically use energy, improve the energy utilization rate and reduce the energy consumption.
In order to achieve the above purpose, the present invention adopts the following technical scheme: in a first aspect, an on-line digital energy-saving diagnosis and regulation method for an LNG receiving station is provided, including:
acquiring real-time data and historical data of each monitoring medium and monitoring parameter of an LNG receiving station site;
classifying, identifying and online calculating the real-time data and the historical data to obtain energy consumption indexes, energy saving indexes, economic indexes and expected values of the energy consumption indexes of all monitoring mediums and monitoring parameters of the LNG receiving station on site;
and carrying out energy consumption index abnormality 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 the expected values of the energy consumption index, the energy saving index, the economic index and the energy consumption index of each monitoring medium and monitoring parameter of the LNG receiving station on site comprises the following steps:
according to real-time data and historical data of the LNG receiving station site, performing physical property calculation on a monitoring medium of the LNG receiving station site;
calculating monitoring parameters of discontinuous measurement points and indirect measurement points of the LNG receiving station according to real-time data, historical data and physical property calculation results of the LNG receiving station;
determining parameter indexes of each control parameter in each working condition of the LNG receiving station site, and calculating theoretical target values and energy consumption target values of monitoring parameters of each subsystem and each monomer device and low-temperature pipeline in the LNG receiving station site on line based on current values of the control parameters of the classified working conditions;
according to the historical data of the LNG receiving station site, calculating the monitoring parameters and the energy consumption optimization values of the LNG receiving station site based on the current values of the control parameters of the classified working conditions;
according to real-time data of the LNG receiving station site, calculating actual energy consumption indexes of all subsystems in the LNG receiving station site and all monomer equipment and low-temperature pipelines in the LNG receiving station site in real time;
according to the actual energy consumption index of each monitoring medium and the corresponding preset energy consumption index difference value, determining the corresponding energy saving index of each monitoring medium on the LNG receiving station site; according to the energy consumption index and the energy saving index corresponding to each monitoring medium, obtaining the economic index corresponding to each monitoring medium;
and determining the energy consumption index prediction result of each monitoring medium and monitoring parameter in the LNG receiving station site according to the calculated optimized value of the monitoring parameter and the energy consumption and the actual energy consumption index.
Further, the classifying, identifying and online calculating the real-time data and the historical data to obtain the expected values of the energy consumption index, the energy saving index, the economic index and the energy consumption index of each monitoring medium and monitoring parameter of the LNG receiving station on site, and the method further comprises the following steps:
and according to the calculation results, obtaining optimal control parameters or reconstruction schemes of the cold insulation circulation quantity, the LNG storage tank pressure control parameters, the BOG compressor starting time and load, the recondenser temperature control parameters, the output flow time-sharing control parameters and the output temperature control parameters.
Further, the early warning of abnormal energy consumption indexes is performed on each monitoring medium and monitoring parameter in the LNG receiving station field, and the early warning comprises the following steps:
monitoring the temperature, pressure and flow of an on-site subsystem of an LNG receiving station in a real-time curve manner, and marking and pre-warning abnormal deviation points;
and when the obtained energy consumption index exceeds a preset energy consumption index threshold, carrying out energy consumption index abnormality early warning.
In a second aspect, an online digital energy-saving diagnosis and regulation system of an LNG receiving station is provided, which comprises a production data acquisition server and an online diagnosis and regulation server;
the production data acquisition server is used for acquiring real-time data and historical data of each monitoring medium and monitoring parameter on the LNG receiving station site;
the on-line diagnosis and regulation server is used for carrying out classification identification and on-line calculation on the real-time data and the historical data to obtain energy consumption indexes, energy saving indexes, economic indexes and expected values of the energy consumption indexes of all monitoring media and monitoring parameters of the LNG receiving station site, and carrying out abnormal early warning on the energy consumption indexes of all monitoring media and monitoring parameters of the LNG receiving station site.
Further, the online diagnosis and regulation server is internally provided with:
the real-time monitoring module is used for receiving real-time data and historical data of the LNG receiving station site and monitoring power system energy consumption monitoring data of the LNG receiving station in real time;
the physical property calculation module is used for calculating physical properties of the monitoring medium on the LNG receiving station according to the real-time data and the historical data on the LNG receiving station;
the non-measuring point parameter indirect calculation module is used for calculating monitoring parameters of discontinuous measuring points and indirect measuring points of the LNG receiving station according to real-time data, historical data and physical property calculation results of the LNG receiving station;
the classified working condition online calculation module is used for determining parameter indexes of control parameters in each working condition of the LNG receiving station site; on-line calculating theoretical target values and energy consumption target values of monitoring parameters of all subsystems and all monomer devices and low-temperature pipelines in the LNG receiving station on site based on current values of control parameters of the classified working conditions;
the parameter target value online calculation module is used for calculating the monitoring parameters and the energy consumption optimization values of the LNG receiving station site based on the current control parameter values of the classified working conditions according to the historical data of the LNG receiving station site;
the energy consumption online calculation module is used for calculating the actual energy consumption index of each subsystem and each monomer device and low-temperature pipeline in the LNG receiving station site in real time according to the real-time data of the LNG receiving station site;
the on-line energy-saving monitoring module is used for determining the energy-saving index corresponding to each monitoring medium on the LNG receiving station site according to the actual energy consumption index of each monitoring medium and the corresponding preset energy consumption index difference value; according to the energy consumption index and the energy saving index corresponding to each monitoring medium, obtaining the economic index corresponding to each monitoring medium;
and the online energy-saving prediction module is used for determining the energy consumption index prediction results of each monitoring medium and monitoring parameter in the LNG receiving station site 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 on-line energy-saving diagnosis module is used for carrying out real-time curve monitoring on the temperature, pressure and flow of an on-site subsystem of the LNG receiving station and the energy consumption indexes of monitoring parameters of each classified monomer device, the LNG storage tank and the low-temperature pipeline in the subsystem, and marking and abnormality early warning on abnormal deviation points; and when the energy consumption index obtained by the online energy-saving monitoring module exceeds a preset energy consumption index threshold, carrying out energy consumption index abnormality early warning;
and the online energy-saving optimization regulation and control module is used for obtaining optimization control parameters or a modification 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 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.
Further, 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 machine 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 machine 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, including computer program instructions, where the computer program instructions, when executed by the processing device, are configured to implement 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 stores computer program instructions, where the computer program instructions are executed by a processor to implement 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. the invention can effectively solve the problems of real-time energy utilization and lack of quantitative analysis monitoring, diagnosis and optimization of the loss condition in the production process of the LNG receiving station by arranging the on-line diagnosis and regulation server, and provides a data basis for realizing scientific energy utilization, improving the energy utilization rate and reducing the energy consumption.
2. The invention can optimize the three-level energy consumption modes of equipment, systems and plants on the basis of conventional energy metering, statistics and analysis, and on the basis of the conventional indexes of safe and stable operation, takes the energy conservation and consumption reduction as a second index into consideration, performs the optimized scheduling of energy conservation and consumption reduction, converts passive energy consumption monitoring into active energy scheduling combined with production optimization, takes the historical annual classified energy utilization index as a historical datum line, converts the energy conservation index into a more direct economic index in real time according to classification, achieves the aim of saving energy and consumption reduction to the greatest extent, and meets the requirements of optimizing and reducing the energy consumption of the system by actively optimizing the operation parameters of a scheduling production line, continuously intervening in the production operation process, and continuously improving and iterating to save energy and reduce consumption to the greatest extent.
In conclusion, the invention can be widely applied to the technical fields of production operation, energy-saving optimization and regulation of LNG receiving stations.
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 parts are designated with like reference numerals throughout the drawings. In the drawings:
FIG. 1 is a schematic diagram of the overall structure of the system of the present invention;
FIG. 2 is a flow chart of the operation of the on-line diagnostics and regulatory 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 present invention are shown in the drawings, it should be understood that the present invention may 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" are intended to include the plural forms as well, unless the context clearly indicates otherwise. The terms "comprises," "comprising," "includes," "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 an order of performance is explicitly stated. It should also be appreciated 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 ease 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 will be explained as follows:
the LNG receiving station includes an LNG unloading system, an LNG cold-keeping circulation system, an LNG storage tank system, a boil-off gas BOG compressor system (converted from LNG boil-off vaporization), a BOG recondenser system (cooled down and converted into LNG), a high pressure export system (converted from LNG heating vaporization into gaseous natural gas), and a seawater system for heating LNG to vaporize.
The on-line digital energy-saving diagnosis and regulation method and system for the LNG receiving station can solve the problem that the energy utilization and loss conditions of the LNG receiving station lack quantitative analysis monitoring, diagnosis and optimization in the production process, and provide 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 LNG receiving station on-line digital energy-saving diagnosis and regulation system provided by the present invention includes a production data collection (DMP, data Protection Manager) server, an on-line diagnosis and regulation server, a client, a portable computer, a distributed control system (DCS, distributed Control System) data interface machine, and a production management system (PMS, power Production Management System) data interface machine.
The production data acquisition server and the on-line diagnosis and regulation server are arranged on a data layer, the client 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 each monitoring medium and monitoring parameters on the LNG receiving station site, sending the real-time data to the DCS data interface machine and sending the historical data to the PMS data interface machine, wherein the monitoring mediums 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, and real-time power, switching state, bus input power, total output power and load rate of 110kV/6kV/380V three-section buses.
The on-line 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 on-line calculating the real-time data and the historical data to obtain energy consumption indexes, energy saving indexes, economic indexes and expected values of energy consumption indexes of all monitoring media and monitoring parameters on the spot of the LNG receiving station, carrying out abnormal early warning on the energy consumption indexes of all monitoring media and monitoring parameters on the spot of the LNG receiving station, and sending calculation results to the client and the portable computer through the production data acquisition server.
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 in the LNG receiving station.
In a preferred embodiment, as shown in fig. 2, a real-time monitoring module, a physical property calculating module, a parameter indirect calculating module without measuring points, a classification working 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 diagnosis module, an online energy saving prediction module and an online energy saving optimization regulating module are arranged in the online diagnosis and regulating server.
The real-time monitoring module is used for monitoring the historical data of the LNG receiving station site from the PMS data interface machine, forming a historical database, monitoring the real-time data of the LNG receiving station site from the DCS data interface machine, and monitoring the power system energy consumption monitoring data of the LNG receiving station in real time.
The physical property calculation module is used for adopting a conventional fitting mathematical relation in a physical property calculation model (for example, the density can be expressed by a polynomial fitting function of temperature: density=a+b+t+c+t 2 +D*T 3 Or (b)Density= (a+b×t 2 ) And A, B, C, D is a fitting constant, and different specifications can give different fitting formulas, so that physical property calculation of parameters such as temperature, pressure, density, enthalpy and heat value is performed on LNG, seawater, fuel gas, liquid nitrogen and nitrogen on the LNG receiving station site according to the formed historical database and monitored real-time data.
The indirect calculation module of parameter without measuring point is used for adopting the conventional difference calculation and the conventional fitting mathematical relation (can be a linear fitting formula, for example, the density can be expressed by a polynomial fitting function of temperature, wherein the density=A+B+T+C+T) 2 +D*T 3 A, B, C, D are fitting constants, etc.), and according to the formed historical database, the monitored real-time data and the physical property calculation result, parameters such as temperature, pressure, flow, density, heat value, flow rate, power and the like are calculated for the discontinuous measurement points and the indirect measurement points on the LNG receiving station site.
The classification working condition online calculation module is used for dividing the processing condition of the LNG receiving station on-site boil-Off Gas (BOG) into six working conditions of ship unloading working conditions (cold stop circulation), zero external transmission working conditions (BOG emptying), zero gaseous external transmission working conditions (liquid external transmission only), minimum external transmission working conditions (BOG complete processing), day-night peak regulation external transmission working conditions (start-stop pump operation) and supply period external transmission working conditions (day-night Gas peak), and determining the cold stop circulation quantity, LNG storage tank pressure control parameters, BOG compressor starting time and load, recondenser temperature control parameters, external transmission flow time-sharing control parameters and external transmission temperature control parameters in each working condition according to the operation experience optimization result; the classification working condition online calculation model module is further used for calculating 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 field online based on the current value of control parameters of the classification working condition by adopting a material simulation engine, wherein an operation experience optimization result can be manually set according to operation experience, and parameter indexes of pressure control parameters of an LNG storage tank are taken as examples, and can be respectively set as follows under six working conditions: 25 to 30kPA, 22 to 27kPA, 27 to 35kPA, 30 to 40kPA, 15 to 20kPA and 12 to 17kPA. The on-site subsystem of the LNG receiving station comprises an LNG unloading system, an LNG cold insulation circulating system, an LNG storage tank system, a BOG compressor system, a recondenser system, a high-pressure export system, a seawater system, a tank car system, a torch system and a nitrogen system.
The parameter target value online calculation module is used for calculating optimized values of parameters such as temperature, pressure, flow, power and the like and energy consumption of the LNG receiving station site according to historical data of the LNG receiving station site and a fitting mathematical relation obtained by an operation optimization test by 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 based on a control parameter current value of a classified working condition.
The energy consumption online calculation module is used for calculating the actual energy consumption index of each subsystem in the LNG receiving station site and each monomer device and low-temperature pipeline in the LNG receiving station site in 15 minutes and hours 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 an energy consumption online calculation model of each subsystem.
The online energy-saving monitoring module is used for calculating the energy consumption online calculation model of the classified monomer equipment, the energy consumption online calculation model of the LNG storage tank, the calculated values of the energy consumption online calculation model of the low-temperature pipeline and the energy consumption online calculation model of each subsystem and the energy consumption monitoring data of the power system, taking 15 minutes and hours as the unit to count the energy consumption index corresponding to each monitoring medium on the LNG receiving station site, calculating the actual energy consumption index (namely, the energy consumption index counted in 15 minutes and hours) of each monitoring medium and the energy consumption index difference value corresponding to the preset energy consumption index as the energy saving index corresponding to each monitoring medium on the LNG receiving station site, and taking the day, week, month and year as the unit to count the energy saving index. The online energy-saving monitoring module is also used for obtaining economic indexes (namely, the addition and summarization of the energy consumption indexes and the energy saving indexes and the corresponding actual prices) 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.
The on-line energy-saving diagnosis module is used for carrying out real-time curve monitoring on the temperature, the pressure and the flow of ten subsystems in the LNG receiving station site and the energy consumption indexes of monitoring parameters such as the temperature, the pressure and the flow of each classified monomer device, the LNG storage tank and the low-temperature pipeline in the ten subsystems by taking 15 minutes, hours and days as units, marking abnormal deviation points and carrying out abnormal early warning, carrying out curve comparison at the same time point on the real-time curve monitoring result and the calculation result of the parameter target value on-line calculation module, and manually carrying out energy consumption deviation analysis and energy saving potential evaluation; the online energy-saving diagnosis module is also used for carrying out abnormal early warning on the energy consumption index when the energy consumption index obtained by the online energy-saving monitoring module exceeds a preset energy consumption index threshold value, and carrying out manual identification and maintenance on the equipment and pipeline performance.
The online energy-saving prediction module is used for determining the temperature, the pressure and the flow of ten subsystems in the LNG receiving station site and the expected values of energy consumption indexes of monitoring parameters such as the temperature, the pressure and the 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 fluctuation judgment and the 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 the monitoring parameter in the LNG receiving station site. The invention can also form the energy consumption index trend curve prediction result of each monitoring medium and the monitoring parameter day planning working condition on the LNG receiving station site for the working condition of pre-judging production in advance of 24 hours.
The online energy-saving optimization regulation and control module is used for carrying out parameter adjustment performance tests on controllable parameters such as cold-keeping circulation quantity, LNG storage tank pressure control parameters, BOG compressor starting time and load, recondenser temperature control parameters, outer output flow time-sharing control parameters, outer output temperature control parameters and the like according to abnormal energy consumption index early warning, energy consumption deviation analysis and energy saving potential evaluation of the online energy-saving diagnosis module, namely a self-fitting method based on general neural network training, and obtaining optimization control parameters or reconstruction schemes (changing local process flow) of the cold-keeping circulation quantity, LNG storage tank pressure control parameters, BOG compressor starting time and load, recondenser temperature control parameters, outer output flow time-sharing control parameters and outer output temperature control parameters according to calculation results of the classification working condition online calculation module, the parameter target value online calculation module and the energy consumption online calculation module, and determining regulation and control decisions, economic operation and energy saving reconstruction schemes of the on-site production line operation parameters and equipment number of the LNG receiving station according to the obtained optimization control parameters or reconstruction schemes.
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 each monitoring medium and monitoring parameter on the LNG receiving station site.
2) And constructing a history database from the history data of the LNG receiving station site.
3) And performing physical property calculation on parameters such as temperature, pressure, density, enthalpy and heat value on LNG, seawater, fuel gas, liquid nitrogen and nitrogen according to the constructed historical database and monitored real-time data by adopting a conventional fitting mathematical relation in the physical property calculation model.
4) And calculating parameters such as temperature, pressure, flow, density, heat value, flow rate, power and the like of the discontinuous measurement points and the indirect measurement points of the LNG receiving station site according to the formed historical database, the monitored real-time data and the physical property calculation result by adopting the conventional difference calculation and the conventional fitting mathematical relation in the indirect calculation model without the measurement point parameters.
5) Dividing the processing condition of the on-site boil-off gas of the LNG receiving station into six working conditions of ship unloading working conditions, zero external transmission working conditions, zero gaseous external transmission working conditions, minimum external transmission working conditions, day-night peak regulation external transmission working conditions and supply-keeping period external transmission working conditions, and determining parameter indexes of cold-keeping circulation quantity, LNG storage tank pressure control parameters, BOG compressor starting time and load, recondenser temperature control parameters, external transmission flow time-sharing control parameters and external transmission temperature control parameters in each working condition according to operation experience optimization results. The classification working condition online calculation model module also adopts an ASPEN material simulation engine to 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 on-site on the basis of the initial parameters and control parameters of the classification working condition.
6) The method comprises the 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, rapidly 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 fitting mathematical relation obtained by an operation optimization test:
(1) taking the optimization start-stop time of an output production line of an LNG receiving station as an example, fitting the mathematical relation comprises:
wherein P is 0 Representing a receiving station outlet initial pressure (Bar); p (P) 1 Represents the receiving station outlet pressure (Bar) at start-up; ΔP 0 Represents the pressure drop per hour (Bar/h) at the outlet of the receiving station before starting the line; ΔP 1 Represents the pressure drop per hour (Bar/h) at the outlet of the receiving station after start-up; t (T) 1 A time interval (h) from the present time to the start of the line; t (T) 2 A time interval (h) from the start of line to the 23 points of the current day is represented; ΔP K The empirical value representing the change in the outlet pressure of the receiving station after the start and stop of the line is about 1.4 (Bar/h), and takes a positive value when the line is started and takes a negative value when the line is stopped.
(2) Taking the calculation of total power consumption during ship unloading as an example, fitting the mathematical relationship includes:
pump power of LNG low pressure export pump:
wherein L is pump (Q rec ) Represent the receiver Q rec An affected pump power (W); Δp (Q) rec ) Represent the receiver Q rec An affected cold insulation line inlet and outlet pressure loss (Pa); s represents a safety coefficient; η (eta) pump Representing pump efficiency; η (eta) motor Representing motor efficiency; q (Q) rec Indicating the total LNG volumetric flow rate for the cold-keeping cycle.
Power of low temperature boil off gas BOG compressor:
wherein L is pump (Q rec ,q br ) Represent the receiver Q rec And q br An affected compressor power (W); k represents a specific heat ratio; q (Q) I (Q rec ,q br ) Represent the receiver Q rec And q br The BOG volume flow (m 3/h) affected; p is p I Representing compressor inlet pressure (Pa); p is p O Representing compressor outlet pressure (Pa); η (eta) B Representing mechanical efficiency; q br Indicating the by-pass line LNG volumetric flow during the soak cycle.
Total power consumption of one ship unloading cycle:
wherein W is T (Q rec ,q br ) Represent the receiver Q rec And q br The total power consumption (kW.h) of the affected ship unloading period;represent the receiver Q rec And q br An affected cold-keeping cycle stage compressor power (W); />Represent the receiver Q rec And q br An affected ship unloading stage compressor power (W); t represents a ship unloading period (h); t (T) unl Indicating the ship unloading time (h).
(3) Taking the operation load experience optimization value calculation under the low-temperature environment of the open frame type seawater gasifier as an example, the fitting mathematical relation comprises:
different maximum load operation data tested under the condition of the output pressure of 4.7MPa, and a fitted curve and a functional relation of the maximum operation load and the sea water temperature under the condition that the processing capacity of the open frame sea water gasifier is 0 when the sea water temperature is 1 ℃ are forced:
F(T)＝-136.207+193.388T-69.3271T 2 +13.7642T 3 -1.01299T 4 (5)
wherein T represents the temperature of seawater.
7) The method comprises the 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 a subsystem energy consumption online calculation model, and 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 (m 3/h) of the storage tank; v (V) LNG Representing the LNG volume (m 3) in the tank; ρ LNG Represents LNG density (kg/m 3); e, e tank Indicating the daily evaporation rate of the storage tank; ρ BOG BOG density (kg/m 3) is indicated.
The low-temperature evaporation gas BOG compressor power is as follows:
wherein W is pump Representing low pressure pump power consumption (W); q (Q) pump Representing the volumetric flow rate (m 3/s) of the low pressure pump export LNG; p (P) drop Representing low pressure pump pressure drop (Pa)) The method comprises the steps of carrying out a first treatment on the surface of the S represents a safety factor; η (eta) pump Representing low pressure pump efficiency; η (eta) motor Indicating motor efficiency.
The power consumption of the low-temperature evaporation gas BOG compressor is as follows:
wherein W is com Represents compressor power consumption (W); p (P) B Representing compressor power (W); k represents a gas insulation index; q (Q) pump Representing the volume flow of BOG processed by the compressor, and m3/s; p (P) 0 、P 1 Representing compressor inlet, outlet pressure (Pa); η (eta) B Indicating compressor efficiency.
8) And calculating the energy consumption on-line calculation model of the classified monomer equipment, the energy consumption on-line calculation model of the LNG storage tank, the calculation value of the energy consumption on-line calculation model of the low-temperature pipeline and the energy consumption on-line calculation model of each subsystem and the energy consumption monitoring data of the power system, taking 15 minutes and hours as units to obtain the energy consumption index corresponding to each monitoring medium on the LNG receiving station site, calculating the difference value between the actual energy consumption index of each monitoring medium and the corresponding preset energy consumption index to obtain the energy saving index corresponding to each monitoring medium on the LNG receiving station site, and carrying out addition statistics according to the accumulated daily, weekly, monthly and annual statistical indexes.
9) And obtaining economic indexes corresponding to the monitoring mediums according to the energy consumption indexes and the energy saving indexes corresponding to the monitoring mediums and the actual prices of the monitoring mediums.
10 Monitoring parameters such as temperature, pressure and flow of classified monomer equipment, an LNG storage tank, a low-temperature pipeline and ten subsystems in the LNG receiving station site and energy consumption indexes in real time in 15 minutes, hours and days, and marking and abnormality early warning abnormal deviation points.
11 Performing curve comparison at the same time point on the real-time curve monitoring result and the parameter target value online calculation result, and manually performing energy consumption deviation analysis and energy saving potential evaluation; and when the obtained energy consumption index exceeds a preset energy consumption index threshold, carrying out energy consumption index abnormality early warning, manually identifying and carrying out equipment and pipeline performance maintenance.
12 Based on the fluctuation judgment and manual presetting of the production working condition, according to the parameter target value on-line calculation result and the energy consumption on-line calculation result, the expected values of the monitoring parameters and the energy consumption indexes such as the temperature, the pressure and the flow of the classified monomer equipment, the LNG storage tank, the low-temperature pipeline and the ten subsystems are calculated, and the average difference value between the historical data and the calculation result of the corresponding parameter target value on-line calculation module is deducted or increased to generate the energy consumption index trend curve prediction result of each monitoring medium and monitoring parameter on the LNG receiving station site.
13 According to the abnormal early warning of energy consumption index, energy consumption deviation analysis and energy saving potential evaluation, carrying out parameter adjustment performance tests on controllable parameters such as cold insulation circulation quantity, LNG storage tank pressure control parameters, BOG compressor starting time and load, recondenser temperature control parameters, external flow time-sharing control parameters, external flow temperature control parameters and the like, obtaining optimized control parameters or reconstruction schemes of the cold insulation circulation quantity, LNG storage tank pressure control parameters, BOG compressor starting time and load, recondenser temperature control parameters, external flow time-sharing control parameters and external flow temperature control parameters, and determining regulation and control decisions, economic operation and energy saving reconstruction schemes of on-site production line operation parameters and equipment number of an LNG receiving station according to the obtained optimized control parameters or reconstruction schemes.
14 The control decision of the on-site production line operation parameters and the equipment number of the LNG receiving station, and the economic operation and energy-saving reconstruction scheme are manually input into a Distributed Control System (DCS) (Distributed Control System, which is a control center of the LNG receiving station and is a commercial integrated control device), so as to remotely change the control operation parameters and enter a new cycle.
Example 3
The present embodiment provides a processing device corresponding to the online digital energy-saving diagnosis and regulation method of the LNG receiving station provided in the present embodiment 1, where the processing device may be a processing device for a client, for example, a mobile phone, a notebook computer, a tablet computer, a desktop computer, etc., so as to execute the method of embodiment 1.
The processing device 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 communication among each other. The memory stores a computer program that can be run on the processing device, and when the processing device runs the computer program, the on-line digital energy-saving diagnosis and regulation method for the LNG receiving station provided in this embodiment 1 is executed.
In some implementations, the memory may be high-speed random access memory (RAM: random Access Memory), and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.
In other implementations, the processor may be a Central Processing Unit (CPU), a Digital Signal Processor (DSP), or other general-purpose processor, which is not limited herein.
Example 4
The present embodiment provides a computer program product corresponding to the on-line digital energy saving diagnosis and regulation method for an LNG receiving station provided in the present embodiment 1, where the computer program product may include a computer readable storage medium having computer readable program instructions for executing the on-line digital energy saving diagnosis and regulation method for an LNG receiving station described in the present embodiment 1.
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 storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any combination of the preceding.
The foregoing embodiments are only for illustrating the present invention, wherein the structures, connection modes, manufacturing processes, etc. of the components may be changed, and all equivalent changes and modifications performed on the basis of the technical solutions of the present invention should not be excluded from the protection scope of the present invention.
Claims (6)
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 each monitoring medium and monitoring parameter of an LNG receiving station site;
classifying, identifying and online calculating the real-time data and the historical data to obtain energy consumption indexes, energy saving indexes, economic indexes and expected values of the energy consumption indexes of all monitoring mediums and monitoring parameters of the LNG receiving station on site;
performing energy consumption index abnormality early warning on each monitoring medium and monitoring parameters on the LNG receiving station site;
the classification, identification and online calculation are carried out on the real-time data and the historical data to obtain the expected values of the energy consumption index, the energy saving index, the economic index and the energy consumption index of each monitoring medium and monitoring parameter of the LNG receiving station on site, comprising the following steps:
according to real-time data and historical data of the LNG receiving station site, performing physical property calculation on a monitoring medium of the LNG receiving station site;
calculating monitoring parameters of discontinuous measurement points and indirect measurement points of the LNG receiving station according to real-time data, historical data and physical property calculation results of the LNG receiving station;
determining parameter indexes of each control parameter in each working condition of the LNG receiving station site, and calculating theoretical target values and energy consumption target values of monitoring parameters of each subsystem and each monomer device and low-temperature pipeline in the LNG receiving station site on line based on current values of the control parameters of the classified working conditions;
according to the historical data of the LNG receiving station site, calculating the monitoring parameters and the energy consumption optimization values of the LNG receiving station site based on the current values of the control parameters of the classified working conditions;
according to real-time data of the LNG receiving station site, calculating actual energy consumption indexes of all subsystems in the LNG receiving station site and all monomer equipment and low-temperature pipelines in the LNG receiving station site in real time;
according to the actual energy consumption index of each monitoring medium and the corresponding preset energy consumption index difference value, determining the corresponding energy saving index of each monitoring medium on the LNG receiving station site; according to the energy consumption index and the energy saving index corresponding to each monitoring medium, obtaining the economic index corresponding to each monitoring medium;
according to the calculated optimized values of the monitoring parameters and the energy consumption and the actual energy consumption index, determining the energy consumption index prediction result of each monitoring medium and monitoring parameter of the LNG receiving station on site;
the method comprises the steps of carrying out classification identification and online calculation on real-time data and historical data to obtain energy consumption indexes, energy saving indexes, economic indexes and expected values of energy consumption indexes of all monitoring media and monitoring parameters of an LNG receiving station on site, and further comprises the following steps:
and according to the calculation results, obtaining optimal control parameters or reconstruction schemes of the cold insulation circulation quantity, the LNG storage tank pressure control parameters, the BOG compressor starting time and load, the recondenser temperature control parameters, the output flow time-sharing control parameters and the output temperature control parameters.
2. The method for online digital energy-saving diagnosis and regulation of the LNG receiving station according to claim 1, wherein the method for carrying out energy consumption index anomaly early warning on each monitoring medium and monitoring parameters of the LNG receiving station field comprises the following steps:
monitoring the temperature, pressure and flow of an on-site subsystem of an LNG receiving station in a real-time curve manner, and marking and pre-warning abnormal deviation points;
and when the obtained energy consumption index exceeds a preset energy consumption index threshold, carrying out energy consumption index abnormality early warning.
3. 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 each monitoring medium and monitoring parameter on the LNG receiving station site;
the on-line diagnosis and regulation server is used for classifying, identifying and on-line calculating the real-time data and the historical data to obtain energy consumption indexes, energy saving indexes, economic indexes and expected values of the energy consumption indexes of all monitoring media and monitoring parameters of the LNG receiving station site, and carrying out abnormal early warning on the energy consumption indexes of all monitoring media and monitoring parameters of the LNG receiving station site;
the online diagnosis and regulation server is internally provided with:
the real-time monitoring module is used for receiving real-time data and historical data of the LNG receiving station site and monitoring power system energy consumption monitoring data of the LNG receiving station in real time;
the physical property calculation module is used for calculating physical properties of the monitoring medium on the LNG receiving station according to the real-time data and the historical data on the LNG receiving station;
the non-measuring point parameter indirect calculation module is used for calculating monitoring parameters of discontinuous measuring points and indirect measuring points of the LNG receiving station according to real-time data, historical data and physical property calculation results of the LNG receiving station;
the classified working condition online calculation module is used for determining parameter indexes of control parameters in each working condition of the LNG receiving station site; on-line calculating theoretical target values and energy consumption target values of monitoring parameters of all subsystems and all monomer devices and low-temperature pipelines in the LNG receiving station on site based on current values of control parameters of the classified working conditions;
the parameter target value online calculation module is used for calculating the monitoring parameters and the energy consumption optimization values of the LNG receiving station site based on the current control parameter values of the classified working conditions according to the historical data of the LNG receiving station site;
the energy consumption online calculation module is used for calculating the actual energy consumption index of each subsystem and each monomer device and low-temperature pipeline in the LNG receiving station site in real time according to the real-time data of the LNG receiving station site;
the on-line energy-saving monitoring module is used for determining the energy-saving index corresponding to each monitoring medium on the LNG receiving station site according to the actual energy consumption index of each monitoring medium and the corresponding preset energy consumption index difference value; according to the energy consumption index and the energy saving index corresponding to each monitoring medium, obtaining the economic index corresponding to each monitoring medium;
the on-line energy-saving prediction module is used for determining the energy consumption index prediction results of each monitoring medium and monitoring parameter of the LNG receiving station on site according to the calculation results of the parameter target value on-line calculation module and the energy consumption on-line calculation module;
the online diagnosis and regulation server is also internally provided with:
the on-line energy-saving diagnosis module is used for carrying out real-time curve monitoring on the temperature, pressure and flow of an on-site subsystem of the LNG receiving station and the energy consumption indexes of monitoring parameters of each classified monomer device, the LNG storage tank and the low-temperature pipeline in the subsystem, and marking and abnormality early warning on abnormal deviation points; and when the energy consumption index obtained by the online energy-saving monitoring module exceeds a preset energy consumption index threshold, carrying out energy consumption index abnormality early warning;
and the online energy-saving optimization regulation and control module is used for obtaining optimization control parameters or a modification 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 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.
4. An LNG receiving station on-line digital energy saving diagnostic and regulatory system as defined in claim 3, further comprising a distributed control system data interface and a production management system data interface;
the distributed control system data interface machine 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 machine 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.
5. A processing device comprising computer program instructions, wherein the computer program instructions, when executed by the processing device, are configured to implement the steps corresponding to the method for online digital energy conservation diagnosis and regulation of LNG receiving stations according to any one of claims 1-2.
6. A computer readable storage medium, wherein computer program instructions are stored on the computer readable storage medium, wherein the computer program instructions, when executed by a processor, are configured to implement the steps corresponding to the method for online digital energy saving diagnosis and regulation of LNG receiving stations according to any of claims 1-2.
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