Smart energy management system and method for integrated refining and chemical enterprises

Abstract

The present application relates to a smart energy management system for integrated refining and chemical enterprises, including: an energy real-time monitoring module, which is used to monitor different energy media in the production and operation process of each level according to a preset hierarchical relationship based on real-time energy data; an energy information management module, which is used to generate basic energy statistical data at different time granularities based on real-time energy data and perform energy production and consumption statistics and trend analysis; an energy efficiency analysis module, which is used to input real-time energy data into an energy efficiency analysis model to obtain real-time energy efficiency analysis data of energy production and consumption system equipment; an operation optimization module, which is used to input operating condition data into the system energy optimization model to obtain the optimal load distribution of system equipment, and dispatch and distribute loads according to the optimal load distribution. This system realizes the unified collection, storage, statistics, collation and analysis of energy consumption data of integrated refining and chemical enterprises, helping enterprises to improve the level of refined management and achieve energy conservation and emission reduction goals.

Description

Technical Field

[0001] The present application belongs to the technical field of energy management and data analysis, and specifically relates to a smart energy management system and method for an integrated refining and chemical enterprise. Background Art

[0002] With the transformation of energy structure, the integration of refining and chemical industry has become an important development direction of petrochemical industry. In order to adapt to the changes in demand for oil and petrochemical products, and at the same time improve the utilization rate of oil resources and reduce investment and enterprise costs, the integrated refining and chemical enterprises have gradually developed from the initial simple integration of refining units providing naphtha raw materials for ethylene and aromatics units to a comprehensive integration of mutual supply of refining and petrochemical materials, and sharing of energy resources and public works.

[0003] As a large energy-consuming unit, the integrated refining and chemical enterprise can be divided into a series of factories or equipment units such as petroleum refining, ethylene cracking, and polyolefin plastics according to the production process. With the current development of information construction in petrochemical enterprises, most factories or equipment have their own energy data collection systems. However, the data systems of each factory and equipment are often independent of each other, and it is difficult to achieve timely interconnection and sharing of data from the entire plant. In addition, there is a lack of statistics, collation and analysis of a large amount of data, which cannot meet the daily and refined energy management needs of the enterprise. Therefore, it is necessary to develop an integrated intelligent energy management system to realize the unified collection, storage, statistics, collation and analysis of energy consumption data of integrated refining and chemical enterprises, and provide energy analysis and diagnosis information of different dimensions for enterprise energy managers, so as to help enterprises improve their refined management level and achieve energy conservation and emission reduction goals. Summary of the invention

[0004] 1. Technical issues to be resolved

[0005] In view of the above-mentioned shortcomings and deficiencies of the prior art, the present application provides a smart energy management system and method for an integrated refining and chemical enterprise.

[0006] (II) Technical solution

[0007] In order to achieve the above objectives, this application adopts the following technical solutions:

[0008] In a first aspect, an embodiment of the present application provides a smart energy management system for an integrated refining and chemical enterprise, wherein the smart energy management system is connected to an energy data acquisition system, wherein the energy data acquisition system includes an energy meter, a programmable logic controller, a distributed control system, and a real-time database; the smart energy management system includes:

[0009] The energy real-time monitoring module is used to monitor the operation of different energy media in the production and operation process of each level according to the preset hierarchical relationship based on the real-time energy data obtained from the energy data acquisition system;

[0010] An energy information management module is used to generate basic energy statistics data at different time granularities based on the real-time energy data; perform energy production and consumption statistics and trend analysis on the basic energy statistics data of different energy media at each level according to the hierarchical relationship to obtain production and consumption statistics data and trend analysis data;

[0011] The energy efficiency analysis module is used to input the corresponding real-time energy data of the energy-generating and consuming system equipment into a pre-established energy efficiency analysis model to obtain the real-time energy efficiency analysis data of the energy-generating and consuming system equipment;

[0012] The operation optimization module is used to input the operating condition data within the current operation cycle into a pre-established system energy optimization model to obtain the optimal load distribution of the system equipment, and schedule and distribute the load within the current operation cycle of the system equipment according to the optimal load distribution.

[0013] Optionally, the real-time energy monitoring module is also used to monitor the production and consumption data and balance status of the energy medium, and the process parameters of the energy medium according to a preset total score deviation rate threshold and / or energy conversion rate threshold and / or upper and lower limit thresholds of process parameters, and to alarm and push alarm prompt information for points that exceed the threshold setting.

[0014] Optionally, the energy information management module includes:

[0015] The energy overview unit is used to track and display important energy data, summarize the completion status of the important energy data at different time granularities and conduct year-on-year analysis; the important energy data includes energy consumption statistics at all levels, energy consumption analysis, assessment indicators and energy costs;

[0016] Energy planning unit, used to generate corresponding energy plans based on production plans and historical energy consumption data and display them in charts;

[0017] The statistical balance unit is used to allocate energy losses to different plant devices according to the energy consumption data of all plant devices in the whole plant, either equally or according to the weight of the energy consumption proportion of each device according to actual needs;

[0018] The statistical analysis and performance appraisal unit is used to calculate important energy appraisal indicators based on the whole plant balance data in accordance with national, industry or enterprise standards, determine performance appraisal rules based on the important energy appraisal indicators, historical energy indicators, energy plans, and energy standard indicators, and generate appraisal scores for each factory unit within the enterprise based on the performance appraisal rules.

[0019] Optionally, the energy efficiency analysis module is further used to monitor the operation of the energy production and consumption system based on the real-time energy efficiency analysis data and the trend analysis data, and to issue an alarm for abnormal data that occurs.

[0020] In a second aspect, an embodiment of the present application provides an energy management method for an integrated refining and chemical enterprise, the method comprising:

[0021] S10, based on the real-time energy data obtained from the energy data collection system, the operation of different energy media in the production and operation process of each level is monitored according to the preset hierarchical relationship;

[0022] S20, based on the real-time energy data, generate energy statistical basic data at different time granularities; perform energy production and consumption statistics and trend analysis on the energy statistical basic data of different energy media at each level according to the hierarchical relationship to obtain production and consumption statistical data and trend analysis data;

[0023] S30, for energy-generating and consuming system equipment, inputting corresponding real-time energy data into a pre-established energy efficiency analysis model to obtain real-time energy efficiency analysis data of the energy-generating and consuming system equipment;

[0024] S40, inputting the operating condition data in the current operating cycle into a pre-established system energy optimization model to obtain the optimal load distribution of the system equipment, and scheduling and distributing the load in the current operating cycle of the system equipment according to the optimal load distribution.

[0025] Optionally, the preset hierarchical relationship is the enterprise level, factory level and device level obtained by dividing the hierarchical relationship of the production units.

[0026] Optionally, the operation of different energy media in the production operation process at each level is monitored, including:

[0027] For steam, water, electricity, nitrogen, compressed air, natural gas, coal, and crude oil, the process flow diagrams of energy media are used to display and analyze the production and consumption data and balance of the energy media in the whole plant, as well as the fluctuation of the energy media process parameters in real time;

[0028] According to the preset total score deviation rate threshold, energy conversion rate threshold, and process parameter upper and lower limit thresholds, alarm prompt information is pushed for points that exceed the threshold settings.

[0029] Optionally, S20 includes:

[0030] S21, performing basic statistical operations on the real-time energy data at different time granularities, and storing the generated cumulative energy production and consumption data as basic energy statistical data in a relational database;

[0031] S22. Based on the basic energy data, statistically analyze energy balance, comprehensive production energy consumption, energy consumption structure and trend at different levels, and generate production and consumption statistical data and trend analysis data;

[0032] S23, displaying the production and consumption statistics and the trend analysis data in charts.

[0033] Optionally, the energy efficiency analysis model includes an energy efficiency index calculation model and / or an economic operation evaluation calculation model.

[0034] Optionally, S40 includes:

[0035] Based on historical operation data or equipment mechanism model, obtain the operating load and energy consumption relationship model of each system equipment under actual working conditions;

[0036] According to the operating load and energy consumption relationship model and the operating condition data in the current operating cycle, optimize and adjust the load of each production and consumption equipment to minimize energy consumption;

[0037] Calculate the load margin of the production and consumption equipment and conduct feasibility analysis on scheduling optimization;

[0038] Based on the preset total plant load, a system optimization model that meets the constraints of the total plant load, equipment rated load, and safety factor is established, and the equipment combination and load are adjusted to obtain a comparison of energy consumption before and after optimization and the optimal load distribution of system equipment.

[0039] (III) Beneficial effects

[0040] The beneficial effects of the present application are as follows: the present application proposes a smart energy management system for integrated refining and chemical enterprises, including: an energy real-time monitoring module, which is used to monitor different energy media in the production and operation process of each level based on real-time energy data according to a preset hierarchical relationship; an energy information management module, which is used to generate basic energy statistical data at different time granularities based on real-time energy data and perform energy production and consumption statistics and trend analysis; an energy efficiency analysis module, which is used to input real-time energy data into an energy efficiency analysis model to obtain real-time energy efficiency analysis data of the energy production and consumption system; an operation optimization module, which is used to input operating condition data into the system energy optimization model to obtain the optimal load distribution of system equipment, and dispatch and distribute the load according to the optimal load distribution. The present system realizes the unified collection, storage, statistics, collation and analysis of energy consumption data of integrated refining and chemical enterprises, helping enterprises to improve the level of refined management and achieve energy conservation and emission reduction goals. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] The present application is described with the aid of the following drawings:

[0042] Figure 1 This is a schematic diagram of the structure of a smart energy management system for an integrated refining and chemical enterprise in one embodiment of the present application;

[0043] Figure 2 This is a functional architecture diagram of a smart energy management system for an integrated refining and chemical enterprise in another embodiment of the present application;

[0044] Figure 3 This is a flow chart of an energy management method for an integrated refining and chemical enterprise in another embodiment of the present application. DETAILED DESCRIPTION

[0045] In order to better explain the present invention and facilitate understanding, the present invention is described in detail below in conjunction with the accompanying drawings through specific implementation methods. It is understood that the specific embodiments described below are only used to explain the relevant inventions, rather than to limit the invention. It should also be noted that the embodiments and features in the embodiments of this application can be combined with each other in the absence of conflict; for ease of description, only the parts related to the invention are shown in the accompanying drawings.

[0046] In a first aspect, the present application proposes a smart energy management system for an integrated refining and chemical enterprise, which is described below through Example 1 and Example 2.

[0047] Embodiment 1

[0048] Figure 1 This is a schematic diagram of the structure of a smart energy management system for an integrated refining and chemical enterprise in one embodiment of the present application. Figure 1 As shown, the smart energy management system 10 is connected to the energy data acquisition system 20, wherein the energy data acquisition system 20 may include energy metering instruments, programmable logic controllers, distributed control systems, and real-time databases; the smart energy management system for a refining and chemical integration enterprise of this embodiment includes:

[0049] The energy real-time monitoring module 101 is used to monitor the operation of different energy media in the production and operation process of each level according to the preset hierarchical relationship based on the real-time energy data obtained from the energy data acquisition system;

[0050] The energy information management module 102 is used to generate energy statistical basic data at different time granularities based on the real-time energy data; perform energy production and consumption statistics and trend analysis on the energy statistical basic data of different energy media at each level according to the hierarchical relationship to obtain production and consumption statistical data and trend analysis data;

[0051] The energy efficiency analysis module 103 is used to input the corresponding real-time energy data of the energy-generating and consuming system equipment into a pre-established energy efficiency analysis model to obtain the real-time energy efficiency analysis data of the energy-generating and consuming system equipment;

[0052] The operation optimization module 104 is used to input the operation condition data in the current operation cycle into a pre-established system energy optimization model to obtain the optimal load distribution of the system equipment, and schedule and distribute the load in the current operation cycle of the system equipment according to the optimal load distribution.

[0053] The system of this application establishes an energy management and control platform that integrates the collection, storage, statistics, organization and analysis of the energy data of the entire plant, realizes real-time tracking, statistics, scientific analysis and management of the energy operation process of the entire plant, and provides strong system support for the company's energy conservation and emission reduction work.

[0054] In order to better understand the present invention, each module in this embodiment is described in detail below.

[0055] In this embodiment, the real-time energy monitoring module is also used to monitor the production and consumption data and balance status of the energy medium, and the process parameters of the energy medium according to the preset total score deviation rate threshold and / or energy conversion rate threshold and / or upper and lower limit thresholds of the process parameters, and to alarm the points that exceed the threshold setting and push alarm prompt information.

[0056] In this embodiment, the energy information management module includes:

[0057] The energy overview unit is used to track and display important energy data, summarize the completion status of the important energy data at different time granularities and conduct year-on-year analysis; the important energy data includes energy consumption statistics at all levels, energy consumption analysis, assessment indicators and energy costs;

[0058] Energy planning unit, used to generate corresponding energy plans based on production plans and historical energy consumption data and display them in charts;

[0059] The statistical balance unit is used to allocate energy losses to different plant devices according to the energy consumption data of all plant devices in the whole plant, either equally or according to the weight of the energy consumption proportion of each device according to actual needs;

[0060] The statistical analysis and performance appraisal unit is used to calculate important energy appraisal indicators based on the whole plant balance data in accordance with national, industry or enterprise standards, determine performance appraisal rules based on the important energy appraisal indicators, historical energy indicators, energy plans, and energy standard indicators, and generate appraisal scores for each factory unit within the enterprise based on the performance appraisal rules.

[0061] In this embodiment, the energy efficiency analysis module is further used to monitor the operation of the energy production and consumption system based on the real-time energy efficiency analysis data and the trend analysis data, and to issue an alarm for abnormal data that occurs.

[0062] This embodiment effectively controls sudden changes and waste in energy consumption through the production and consumption balance of energy media, calculation and analysis of process efficiency, monitoring and alarm of abnormal operating conditions, and energy system device energy efficiency index limits. By establishing an energy efficiency calculation model for key production / consumption system devices and an optimization scheduling model for important energy media, it assists enterprise managers to timely understand and grasp the operating status and usage of key production / consumption system devices and energy media, and promotes the transformation of their command and decision-making from experience-based to analytical; at the same time, it evaluates and optimizes the operation and scheduling mode of the enterprise, provides data support for improving energy utilization and efficiency, promotes the safe, reliable, efficient and economic operation of the energy resources of the entire plant, and maximizes the benefits of the entire plant.

[0063] Embodiment 2

[0064] Figure 2 This is a functional architecture diagram of a smart energy management system for an integrated refining and chemical enterprise in another embodiment of the present application. Figure 2 As shown in the figure, the system is built on the existing underlying instrument / control layer and real-time database of the enterprise, where the underlying instrument / control layer includes energy metering instruments, PLC / DCS and data acquisition network, and the real-time database is used to store the real-time data of the underlying instrument / control layer. After the system collects the energy metering data of the whole plant and the important production and operation parameters related to energy production and consumption through the real-time data transmission and communication function, each functional module organizes and analyzes the data of the whole plant to support the business functions of each module. Specifically, the main functional modules of the smart energy management system are divided into three parts, namely, the energy real-time monitoring and alarm module, the energy management module and the energy efficiency analysis and operation optimization module. The three modules complement each other, covering the comprehensive energy efficiency indicators at the upper level of the enterprise to the scheduling optimization of important energy media (steam, fuel gas, etc.) at the production level, and the energy efficiency analysis and operation optimization of key production / energy consumption system equipment (such as air compression, circulating water and other systems, thermal power boilers, steam turbines, cracking furnaces and other sets of equipment). The specific functions are introduced as follows:

[0065] 1. Energy real-time monitoring and alarm module

[0066] Based on the group's existing energy metering instruments and data collection networks at all levels, a "highly integrated" comprehensive energy monitoring system is established. According to the different production unit levels (enterprise level, factory level, device level) and energy medium categories (steam, water, electricity, nitrogen, compressed air, natural gas, coal, crude oil, etc.) of the integrated refining and chemical enterprises, monitoring design is carried out level by level and category by category. Through the process-oriented energy medium flow diagram and the setting of thresholds (total score deviation rate, energy conversion rate, upper and lower limits of process parameters, etc.), the production and consumption data and balance of the energy medium of the whole plant, the fluctuation of the energy medium process parameters (such as steam temperature and pressure, electricity-related current, voltage, active and reactive power, etc.) are displayed and analyzed in real time, and alarms are pushed to the points that exceed the threshold setting. Through system gadgets such as data identification information viewing, data history and trend query, it is convenient for production management personnel to view and process abnormal operating data in real time to avoid unnecessary energy consumption caused by untimely processing.

[0067] This module realizes online real-time monitoring of the first, second and third level (i.e. enterprise level, factory level and device level) energy metering data of the entire plant, important production and operation parameters related to energy production and consumption, energy efficiency indicators of key energy systems and equipment, and key indicators of the entire plant and its branches.

[0068] 2. Energy management module

[0069] This module provides an integrated, open information integration platform for various business applications of the group's energy management, covering functions such as energy information overview, energy planning, statistical balance, statistical analysis, and performance appraisal. Based on the characteristics of the company's production and operation management, this module first performs basic statistical operations on the energy metering data in the real-time database at different time granularities (shifts, days, months, and years), and stores the generated cumulative energy production and consumption in a relational database. Then, using the calculated energy basic data, statistically analyze the energy balance, comprehensive production energy consumption, energy consumption structure and trends, and other information at different levels (enterprise level, factory level, and device level), and finally achieve overall supervision of the energy production and consumption of the group's branches in the form of rich charts and graphs to meet the group's refined management needs.

[0070] The energy overview function is mainly used to assist leadership management decisions, track and display important energy data such as energy consumption statistics, energy consumption analysis, assessment indicators and energy costs at all levels; summarize the completion status of various important energy data at different time granularities (day, month, year) and conduct year-on-year analysis.

[0071] The energy plan function automatically formulates a corresponding and executable energy plan based on the production plan and combines historical energy consumption data for display in the form of charts. This function is the premise for energy management to change from the post-statistical analysis mode to the plan setting and process statistical analysis tracking mode.

[0072] The statistical balance function can automatically allocate energy losses to different factory devices according to the energy consumption data of all factory devices in the whole factory, according to the actual needs, or according to the weight of the energy consumption proportion of each device, so as to achieve energy balance for the whole factory. The statistical analysis and performance evaluation functions automatically calculate important energy evaluation indicators (such as comprehensive energy consumption, comprehensive energy consumption per unit product, etc.) according to national, industry or enterprise standards based on the balance data of the whole factory, and then analyze the comparison of these energy consumption indicators with the level of the same period, the completion status compared with the energy plan, and the compliance status compared with the energy standards. Based on this, the performance evaluation rules are designed to automatically generate the evaluation scores of each factory unit within the enterprise on a monthly or quarterly basis (if the production stability of the factory is to be controlled, the energy indicators of different teams of the same device can also be evaluated and evaluated), so as to help enterprises conduct internal and external benchmarking analysis, continuously improve problems in the process of energy consumption and use, and continuously improve energy performance levels.

[0073] 3. Energy efficiency analysis and operation optimization module

[0074] The energy efficiency analysis function of this module focuses on the key energy production / energy consumption systems, devices or equipment of the enterprise. Referring to national, industry or process equipment standards, the energy efficiency indicators or general calculation models for economic operation evaluation (the circulating water system can use the water-electricity ratio model, the boiler can use the positive and negative balance efficiency model, the compressor can use the specific power model, etc.) are converted into the system's built-in script statements. By transferring the data information of the real-time database to the calculation model script statement, the energy efficiency data reflecting the current operating status of the system, device or equipment is automatically calculated, and the energy efficiency analysis data can be displayed in real time in the form of trend lines. Once an abnormality occurs in the system, device or equipment, its efficiency abnormality point will be reflected on the trend line. Therefore, the efficiency abnormality point can be used to timely alarm, reminding the production and operation and maintenance personnel to deal with it in time to avoid sudden changes and waste of energy consumption.

[0075] The operation evaluation function is to evaluate the operation links of key production / energy consumption systems, that is, to evaluate the production and use of important energy media (such as steam, fuel gas, etc.) at the dispatching level, and provide support for operation optimization and energy saving. This function achieves the optimal load distribution of system equipment by establishing optimization models for each system while ensuring the energy demand and safe operation of the whole plant, thereby achieving energy saving effects. The specific optimization idea is: based on historical operation data or equipment mechanism model, obtain the relationship model between the operating load and energy consumption of each system equipment under actual working conditions. According to the relationship between load and energy consumption, under the known equipment operating conditions, the load of these equipment can be optimized and adjusted to minimize energy consumption. At the same time, the load margin of these equipment is calculated to conduct a feasibility analysis on whether these equipment can participate in the subsequent dispatch optimization. Finally, under the premise of meeting the total load of the whole plant, a system optimization model is established under the constraints of the whole plant load, equipment rated load, safety factor, etc., and the equipment combination and load are adjusted to minimize energy consumption. Finally, the energy consumption comparison before and after optimization and system operation suggestions are given for dispatching to conduct economic operation analysis.

[0076] The smart energy management system designed in this embodiment forms different energy management functional modules for integrated refining and chemical enterprises in accordance with the principles of systematization, informatization, standardization and refinement of energy management, thereby effectively solving the problem that the energy data of the entire plant of the integrated refining and chemical enterprise is difficult to be timely communicated and shared, and lacks statistics, collation and analysis of a large amount of data, and cannot meet the requirements of daily and refined energy management.

[0077] Embodiment 3

[0078] The second aspect of the present application provides an energy management method for an integrated refining and chemical enterprise. Figure 3 FIG. 1 is a flow chart of an energy management method for an integrated refining and chemical enterprise in another embodiment of the present application. Figure 3 As shown, the energy management method of this embodiment includes:

[0079] S10, based on the real-time energy data obtained from the energy data collection system, the operation of different energy media in the production and operation process of each level is monitored according to the preset hierarchical relationship;

[0080] S20, based on the real-time energy data, generate energy statistical basic data at different time granularities; perform energy production and consumption statistics and trend analysis on the energy statistical basic data of different energy media at each level according to the hierarchical relationship to obtain production and consumption statistical data and trend analysis data;

[0081] S30, for energy-generating and consuming system equipment, inputting corresponding real-time energy data into a pre-established energy efficiency analysis model to obtain real-time energy efficiency analysis data of the energy-generating and consuming system equipment;

[0082] S40, inputting the operating condition data in the current operating cycle into a pre-established system energy optimization model to obtain the optimal load distribution of the system equipment, and scheduling and distributing the load in the current operating cycle of the system equipment according to the optimal load distribution.

[0083] The present invention establishes an energy management system that collects, stores, organizes, analyzes and optimizes plant-wide data based on the existing energy metering instruments and data acquisition networks at all levels in various factories and devices of an integrated refining and chemical enterprise, realizes the interconnection and sharing of plant-wide energy data, and provides enterprise managers with multi-dimensional data analysis and diagnosis information.

[0084] In order to better understand the present invention, each step in this embodiment is described below.

[0085] In this embodiment, the preset hierarchical relationship may be the enterprise level, factory level, and device level obtained by dividing the hierarchical relationship of the production units.

[0086] In this embodiment, the operation monitoring of different energy media during the production operation of each level may include:

[0087] For steam, water, electricity, nitrogen, compressed air, natural gas, coal, and crude oil, the process flow diagrams of energy media are used to display and analyze the production and consumption data and balance of the energy media in the whole plant, as well as the fluctuation of the energy media process parameters in real time;

[0088] According to the preset total score deviation rate threshold, energy conversion rate threshold, and process parameter upper and lower limit thresholds, alarm prompt information is pushed for points that exceed the threshold settings.

[0089] In this embodiment, S20 may include:

[0090] S21, performing basic statistical operations on the real-time energy data at different time granularities, and storing the generated cumulative energy production and consumption data as basic energy statistical data in a relational database;

[0091] S22. Based on the basic energy data, statistically analyze energy balance, comprehensive production energy consumption, energy consumption structure and trend at different levels, and generate production and consumption statistical data and trend analysis data;

[0092] S23, displaying the production and consumption statistics and the trend analysis data in charts.

[0093] The energy management method of this embodiment uses the collected energy metering data to automatically analyze and calculate data such as energy production and consumption balance, energy consumption structure and trend, energy consumption indicators (such as comprehensive energy consumption, unit consumption, etc.) according to different production work calendars (year, month, day, shift) and different production unit levels (enterprise level, factory level, device level), and realizes overall supervision of the energy production and consumption of integrated refining and chemical enterprises in the form of rich graphical presentations, thereby meeting the daily and refined energy management needs of enterprises.

[0094] In this embodiment, the energy efficiency analysis model may include an energy efficiency index calculation model and / or an economic operation evaluation calculation model.

[0095] In this embodiment, S40 may include:

[0096] Based on historical operation data or equipment mechanism model, obtain the operating load and energy consumption relationship model of each system equipment under actual working conditions;

[0097] According to the operating load and energy consumption relationship model and the operating condition data in the current operating cycle, optimize and adjust the load of each production and consumption equipment to minimize energy consumption;

[0098] Calculate the load margin of the production and consumption equipment and conduct feasibility analysis on scheduling optimization;

[0099] Based on the preset total plant load, a system optimization model that meets the constraints of the total plant load, equipment rated load, and safety factor is established, and the equipment combination and load are adjusted to obtain a comparison of energy consumption before and after optimization and the optimal load distribution of system equipment.

[0100] For the production scheduling of key energy-producing / consuming system devices and important energy media (such as steam, fuel gas, etc.) that the enterprise is concerned about, the system evaluates the current operating status of the system devices and the scheduling of energy media and provides optimization suggestions based on energy efficiency indicators, economic operation evaluation indicators or analysis models of historical operating data, providing data support for the enterprise's energy-saving technical transformation and energy optimization scheduling, which helps to improve the enterprise's energy utilization efficiency and reduce energy consumption costs.

[0101] It should be noted that, in the claims, any reference signs placed between parentheses shall not be construed as limiting the claims. The word "comprising" does not exclude the presence of components or steps not listed in the claims. The word "a" or "an" preceding a component does not exclude the presence of a plurality of such components. The invention can be implemented by means of hardware comprising several distinct components, and by means of a suitably programmed computer.

[0102] In addition, it should be noted that, in the description of this specification, the description of the terms "one embodiment", "some embodiments", "embodiment", "example", "specific example" or "some examples" refers to the specific features, structures, materials or characteristics described in conjunction with the embodiment or example included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine different embodiments or examples described in this specification and the features of different embodiments or examples, unless they are contradictory.

[0103] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments after knowing the basic creative concept. Therefore, the claims should be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present invention.

[0104] Obviously, those skilled in the art can make various modifications and variations to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention should also include these modifications and variations.

Claims

1. A smart energy management system for an integrated refining and chemical enterprise, characterized in that: The smart energy management system is connected to an energy data acquisition system, which includes an energy meter, a programmable logic controller, a distributed control system and a real-time database; The smart energy management system comprises: The energy real-time monitoring module is used to monitor the operation of different energy media in the production and operation process of each level according to the preset hierarchical relationship based on the real-time energy data obtained from the energy data acquisition system; The preset hierarchical relationship is the enterprise level, factory level and device level obtained by dividing the hierarchical relationship of the production units; An energy information management module is used to generate basic energy statistics data at different time granularities based on the real-time energy data; perform energy production and consumption statistics and trend analysis on the basic energy statistics data of different energy media at each level according to the hierarchical relationship to obtain production and consumption statistics data and trend analysis data; The energy efficiency analysis module is used to input the corresponding real-time energy data of the energy production and consumption system equipment into a pre-established energy efficiency analysis model to obtain the real-time energy efficiency analysis data of the energy production and consumption system; An operation optimization module is used to input the operation condition data in the current operation cycle into a pre-established system energy optimization model to obtain the optimal load distribution of the system equipment, and to dispatch and distribute the load in the current operation cycle of the system equipment according to the optimal load distribution; Among them, the operation optimization module obtains the operating load and energy consumption relationship model of each system equipment under actual working conditions based on historical operation data or equipment mechanism model; optimizes and adjusts the load of each production and consumption equipment based on the operating load and energy consumption relationship model and the operating condition data in the current operation cycle to minimize energy consumption; calculates the load margin of the production and consumption equipment and conducts a feasibility analysis of scheduling optimization; based on the preset total plant load, establishes a system optimization model that meets the constraints of the total plant load, equipment rated load, and safety factor, adjusts the equipment combination and load, and obtains the energy consumption comparison before and after optimization and the optimal load distribution of the system equipment.

2. The smart energy management system for an integrated refining and chemical enterprise according to claim 1 is characterized in that: The energy real-time monitoring module is also used to monitor the production and consumption data and balance status of the energy medium, and the energy medium process parameters according to the preset total score deviation rate threshold and / or energy conversion rate threshold and / or process parameter upper and lower limit thresholds, and to alarm and push alarm prompt information for points that exceed the threshold setting.

3. The smart energy management system for an integrated refining and chemical enterprise according to claim 1 is characterized in that: The energy information management module includes: The energy overview unit is used to track and display important energy data, summarize the completion status of the important energy data at different time granularities and conduct year-on-year analysis; the important energy data includes energy consumption statistics at all levels, energy consumption analysis, assessment indicators and energy costs; Energy planning unit, used to generate corresponding energy plans based on production plans and historical energy consumption data and display them in charts; The statistical balance unit is used to allocate energy losses to different plant devices according to the energy consumption data of all plant devices in the whole plant, either equally or according to the weight of the energy consumption proportion of each device according to actual needs; The statistical analysis and performance appraisal unit is used to calculate important energy appraisal indicators based on the whole plant balance data in accordance with national, industry or enterprise standards, determine performance appraisal rules based on the important energy appraisal indicators, historical energy indicators, energy plans, and energy standard indicators, and generate appraisal scores for each factory unit within the enterprise based on the performance appraisal rules.

4. The smart energy management system for an integrated refining and chemical enterprise according to claim 1, characterized in that: The energy efficiency analysis module is also used to monitor the operation of the energy production and consumption system based on the real-time energy efficiency analysis data and the trend analysis data, and to issue an alarm for abnormal data that occurs.

5. An energy management method for an integrated refining and chemical enterprise, characterized in that: The method includes: S10, based on the real-time energy data obtained from the energy data collection system, the operation of different energy media in the production and operation process of each level is monitored according to the preset hierarchical relationship; The preset hierarchical relationship is the enterprise level, factory level and device level obtained by dividing the hierarchical relationship of the production units; S20, based on the real-time energy data, generate energy statistical basic data at different time granularities; perform energy production and consumption statistics and trend analysis on the energy statistical basic data of different energy media at each level according to the hierarchical relationship to obtain production and consumption statistical data and trend analysis data; S30, for energy-generating and consuming system equipment, inputting corresponding real-time energy data into a pre-established energy efficiency analysis model to obtain real-time energy efficiency analysis data of the energy-generating and consuming system equipment; S40, inputting the operating condition data in the current operating cycle into a pre-established system energy optimization model to obtain the optimal load distribution of the system equipment, and dispatching and distributing the load in the current operating cycle of the system equipment according to the optimal load distribution; S40 includes: Based on historical operation data or equipment mechanism model, obtain the operating load and energy consumption relationship model of each system equipment under actual working conditions; According to the operating load and energy consumption relationship model and the operating condition data in the current operating cycle, optimize and adjust the load of each production and consumption equipment to minimize energy consumption; Calculate the load margin of the production and consumption equipment and conduct feasibility analysis on scheduling optimization; Based on the preset total plant load, a system optimization model that meets the constraints of the total plant load, equipment rated load, and safety factor is established, and the equipment combination and load are adjusted to obtain a comparison of energy consumption before and after optimization and the optimal load distribution of system equipment.

6. The energy management method for an integrated refining and chemical enterprise according to claim 5, characterized in that: Monitor the operation of different energy media in the production process at all levels, including: For steam, water, electricity, nitrogen, compressed air, natural gas, coal, and crude oil, the process flow diagrams of energy media are used to display and analyze the production and consumption data and balance of the energy media in the whole plant, as well as the fluctuation of the energy media process parameters in real time; According to the preset total score deviation rate threshold, energy conversion rate threshold, and process parameter upper and lower limit thresholds, alarm prompt information is pushed for points that exceed the threshold settings.

7. The energy management method for an integrated refining and chemical enterprise according to claim 5, characterized in that: The S20 includes: S21, performing basic statistical operations on the real-time energy data at different time granularities, and storing the generated cumulative energy production and consumption data as basic energy statistical data in a relational database; S22. Based on the basic energy statistical data, statistically analyze energy balance, comprehensive production energy consumption, energy consumption structure and trend at different levels to generate production and consumption statistical data and trend analysis data; S23, displaying the production and consumption statistics and the trend analysis data in charts.

8. The energy management method for an integrated refining and chemical enterprise according to claim 5, characterized in that: The energy efficiency analysis model includes an energy efficiency index calculation model and / or an economic operation evaluation calculation model.

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