Natural gas purification plant energy consumption analysis management method and system

Abstract

The invention discloses an energy consumption analysis management method and system for a natural gas purification plant. The method comprises the following steps: acquiring energy consumption data in the purification plant; establishing a data model by using the energy consumption data; calculating energy performance parameters of the data model; energy consumption prediction is carried out by utilizing the energy performance, and meanwhile energy consumption early warning is carried out. Partition classification accurate metering monitoring and real-time statistics of the whole plant can be realized, the labor intensity of workers is reduced, and the energy consumption management efficiency is improved. Future energy consumption is predicted according to historical actual energy consumption, so that energy consumption early warning is realized, and the energy consumption management level is improved; on-line calculation and analysis are carried out through a mathematical model of computer software, and the accuracy and efficiency are improved. The natural gas purification plant energy consumption analysis management module meets the intelligent factory requirements of comprehensive perception and intelligent analysis.

Description

Technical Field

[0001] The invention belongs to the technical field of oil and gas plant management methods, relates to an energy consumption analysis management method for a natural gas purification plant, and also relates to a system applying the method. Background Art

[0002] With the national dual carbon goals, energy control has become a necessary means of energy conservation and consumption reduction. It is an inevitable trend for oilfield enterprises to strengthen energy management by establishing an energy control system to monitor, analyze, diagnose and optimize energy consumption in real time. As the station with the most complex process production units, the most types of energy consumption and relatively high energy consumption in the oil and gas field industry, most natural gas purification plants still use traditional manual meter reading. Some online energy consumption measurement data can be transmitted to DCS, but it is only used for process monitoring. Ultimately, energy consumption is controlled by manual statistics and analysis methods. There are usually the following shortcomings: the whole plant only has total energy consumption measurement, and the energy consumption of each unit and device needs to be estimated by the rated energy consumption and operating time of the equipment, and the management is not precise; manual statistical reports are labor-intensive and can only realize the regular statistical function of energy consumption, with a single function; the calculation and analysis of energy efficiency basically rely on experience, with low efficiency and poor effect, and cannot meet the requirements of intelligent factories with comprehensive perception and intelligent analysis. Summary of the invention

[0003] The purpose of the present invention is to provide a method for analyzing and managing energy consumption of a natural gas purification plant, which solves the problem of low efficiency of energy consumption control in the prior art.

[0004] The technical solution adopted by the present invention is a method for analyzing and managing energy consumption of a natural gas purification plant, comprising the following steps:

[0005] Step 1: Obtain energy consumption data in the purification plant;

[0006] Step 2: Use energy consumption data to establish a data model;

[0007] Step 3: Calculate the energy performance parameters of the data model;

[0008] Step 4: Use energy performance to predict energy consumption and provide energy consumption warning.

[0009] The present invention is also characterized in that:

[0010] In step 1, the energy consumption data in the purification plant can be obtained by manual input, DCS data interaction and reading of energy consumption metering instruments.

[0011] The data model includes the purification plant data model, the basic energy-consuming unit data model and the key energy-consuming equipment data model.

[0012] The purification plant data model and the basic energy unit data model include energy unit attributes, operating parameters, production parameters, energy consumption parameters and process flow indicators; the data model of key energy-consuming equipment includes equipment attributes, operating parameters, production parameters, energy consumption parameters and equipment terminal indicators.

[0013] The basic energy-consuming units include purification units, sulfur recovery units, tail gas treatment units, produced water treatment units, heating units and non-production units. The key energy-consuming equipment includes pump equipment, gas heating furnaces, air compressors, fans and air coolers.

[0014] The energy performance parameter calculation formula is: Among them, m j.e is the unit natural gas energy consumption, Q j is energy consumption, D j is the raw gas processing capacity.

[0015] The energy performance parameters of purification plants and basic energy-consuming units are process flow indicators, and the energy performance parameters of key energy-consuming equipment are equipment terminal indicators.

[0016] The energy consumption prediction method is as follows: using the Holt-Winters algorithm, first taking the hourly energy consumption of energy-consuming objects in the last 30 days as input data, and obtaining the hourly energy consumption forecast value for today and the future; then taking the daily energy consumption of energy-consuming objects in the last 90 days as input data, and obtaining the daily energy consumption forecast value for this month and the future.

[0017] The energy consumption early warning method is: accumulate today's actual energy performance parameters and the predicted energy consumption values ​​for each hour in the future, and compare them with the preset energy consumption threshold for today, until the accumulated value reaches the set threshold, and then issue an energy consumption early warning, and give the time point when the energy consumption value will exceed the threshold in the future;

[0018] The actual energy performance parameters of this month are accumulated one by one with the predicted energy consumption values ​​for each day in the future, and compared with the preset energy consumption threshold for this month until the accumulated value reaches the set threshold. An energy consumption warning is issued, and the time point when the energy consumption value will exceed the threshold in the future is given.

[0019] Another object of the present invention is to provide an energy consumption analysis and management system for a natural gas purification plant.

[0020] Another technical solution adopted by the present invention is a natural gas purification plant energy consumption analysis and management system, comprising:

[0021] A data acquisition module is used to obtain energy consumption data in the purification plant;

[0022] A model building module, used to build a data model using energy consumption data;

[0023] Energy efficiency calculation module, used to calculate the energy performance parameters of the data model;

[0024] The early warning module is used to use energy performance to predict energy consumption and issue energy consumption early warning.

[0025] The beneficial effects of the present invention are as follows: the energy consumption analysis and management method of the natural gas purification plant of the present invention can realize accurate measurement and monitoring of the energy zoning and classification of the whole plant, real-time statistics, reduce the intensity of manual labor, and improve the efficiency of energy consumption management; by predicting future energy consumption based on historical actual energy consumption, energy consumption warning can be realized, which can improve the level of energy consumption management; through the online calculation and analysis of the mathematical model of computer software, the accuracy and efficiency are improved. The energy consumption analysis and management module of the natural gas purification plant of the present invention meets the requirements of intelligent factories with comprehensive perception and intelligent analysis. DETAILED DESCRIPTION

[0026] The present invention is described in detail below in conjunction with specific implementation modes.

[0027] Example 1

[0028] The energy consumption analysis and management method of a natural gas purification plant includes the following steps:

[0029] Step 1: Obtain energy consumption data in the purification plant;

[0030] Step 2: Use energy consumption data to establish a data model;

[0031] Step 3: Calculate the energy performance parameters of the data model;

[0032] Step 4: Use energy performance to predict energy consumption and provide energy consumption warning.

[0033] Example 2

[0034] The energy consumption analysis and management method of a natural gas purification plant includes the following steps:

[0035] Step 1: Obtain energy consumption data in the purification plant; the acquisition methods include manual entry, DCS data interaction and reading of energy consumption metering instruments.

[0036] Step 2: Use energy consumption data to establish a data model;

[0037] The data model includes the purification plant data model, the basic energy-consuming unit data model and the key energy-consuming equipment data model. The data model of the purification plant and each unit includes the energy-consuming unit attributes, operating parameters, production parameters, energy consumption parameters and process flow indicators. The data model of the key energy-consuming equipment includes equipment attributes, operating parameters, production parameters, energy consumption parameters and equipment terminal indicators. The basic energy-consuming units include purification units, sulfur recovery units, tail gas treatment units, produced water treatment units, heating units and non-production units.

[0038] Step 3: Calculate the energy performance parameters of the data model;

[0039] Step 4: Use energy performance to predict energy consumption and provide energy consumption warning.

[0040] Example 3

[0041] The energy consumption analysis and management method of a natural gas purification plant includes the following steps:

[0042] Step 1: Obtain energy consumption data in the purification plant; the acquisition methods include manual entry, DCS data interaction and reading of energy consumption metering instruments.

[0043] Step 2: Use energy consumption data to establish a data model;

[0044] The data model includes the purification plant data model, the basic energy-consuming unit data model and the key energy-consuming equipment data model. The data model of the purification plant and each unit includes energy-consuming unit attributes, operating parameters, production parameters, energy consumption parameters and process flow indicators. The data model of key energy-consuming equipment includes equipment attributes, operating parameters, production parameters, energy consumption parameters and equipment terminal indicators. The basic energy-consuming units include purification units, sulfur recovery units, tail gas treatment units, produced water treatment units, heating units and non-production units. Take the purification unit as an example, as shown in Table 1; key energy-consuming equipment includes pump equipment, gas heating furnace, air compressor, fan, and air cooler.

[0045] Table 1 Purification unit data model

[0046]

[0047]

[0048] Step 3: Calculate the energy performance parameters of the data model;

[0049] The energy performance parameters of purification plants and basic energy-consuming units are process flow indicators, and the energy performance parameters of key energy-consuming equipment are equipment terminal indicators. Taking the purification unit as an example, the energy performance parameter algorithm is as follows:

[0050] 1) Unit power consumption of natural gas purification process

[0051]

[0052] m j.e :Unit power consumption of natural gas purification process, unit / kWh / 10 4 m 3

[0053] Q j.e : Power consumption, unit: kWh

[0054] Dj : Raw gas processing capacity, unit: m 3

[0055] 2) Unit natural gas purification process fuel gas consumption

[0056]

[0057] m j.g : Unit natural gas purification process gas consumption, unit / kWh / 10 4 m 3

[0058] Q j.g : Fuel gas consumption, unit: m 3

[0059] 3) Comprehensive energy consumption per unit of natural gas purification process

[0060]

[0061] m j : Comprehensive energy consumption of natural gas purification process, unit kgce / 10 4 m 3

[0062] Q j : Comprehensive energy consumption, unit: kgce

[0063] Step 4: Use energy performance to predict energy consumption and provide energy consumption warning.

[0064] Specifically, using the Holt-Winters algorithm, first take the hourly energy consumption of energy-consuming objects in the last 30 days as input data to obtain the energy consumption forecast for each hour in the future; add today's actual energy performance parameters and the energy consumption forecast for each hour in the future one by one, and compare them with the preset energy consumption threshold for today, until the accumulated value reaches the set threshold, an energy consumption warning is issued, and the approximate time point when the energy consumption value will exceed the threshold in the future is given. Then take the daily energy consumption of energy-consuming objects in the last 90 days as input data to obtain the energy consumption forecast for each day in the future of this month; add this month's actual energy performance parameters and the energy consumption forecast for each day in the future of this month one by one, and compare them with the preset energy consumption threshold for this month, until the accumulated value reaches the set threshold, an energy consumption warning is issued, and the approximate time point when the energy consumption value will exceed the threshold in the future is given.

[0065] Example 4

[0066] Energy consumption analysis and management system for natural gas purification plants, including:

[0067] A data acquisition module is used to obtain energy consumption data in the purification plant;

[0068] A model building module, used to build a data model using energy consumption data;

[0069] Energy efficiency calculation module, used to calculate the energy performance parameters of the data model;

[0070] The early warning module is used to use energy performance to predict energy consumption and issue energy consumption early warning.

[0071] The energy consumption analysis and management system for the natural gas purification plant of the present invention also includes a metering instrument management module, which can realize the maintenance, topology management, and calibration tracking of metering instruments throughout the plant; an energy planning and scheduling module, which realizes the production plan, energy plan, energy scheduling management, and scheduling log management of the purification plant;

[0072] The energy cost management module implements energy price management, benefit measurement, performance and cost analysis; the energy performance assessment management module implements performance indicator system maintenance, energy consumption quota management performance analysis, performance accounting and assessment; the comprehensive statistical analysis module implements energy consumption statistical analysis, production capacity forecasting, and energy performance benchmarking; the energy comprehensive management module manages project and construction progress, effect evaluation, and technical case management; the key equipment energy efficiency tracking and optimization module displays the efficiency and key factors of each equipment from high to low according to the efficiency of key energy-consuming equipment, and exports the energy efficiency evaluation report in order of energy efficiency ranking, and compares the data based on big data statistical analysis of continuous equipment operation.

[0073] Through the above methods, the energy consumption analysis and management method of the natural gas purification plant of the present invention can realize accurate measurement and monitoring of the energy of the whole plant by zoning and classification, and real-time statistics, thereby reducing the intensity of manual labor; by predicting future energy consumption based on historical actual energy consumption, energy consumption warning can be realized, thereby improving the level of energy consumption management; through online calculation and analysis of mathematical models of computer software, accuracy and efficiency are improved. The energy consumption analysis and management module of the natural gas purification plant of the present invention meets the requirements of intelligent factories with comprehensive perception and intelligent analysis.

Claims

1. A method for analyzing and managing energy consumption of a natural gas purification plant, characterized in that: The following steps are involved: Step 1: Obtain energy consumption data in the purification plant; Step 2: Establish a data model using the energy consumption data; Step 3: Calculate the energy performance parameters of the data model; Step 4: Use the energy performance to predict energy consumption and provide energy consumption warning.

2. The method for energy consumption analysis and management of a natural gas purification plant according to claim 1, characterized in that: The methods for obtaining the energy consumption data in the purification plant described in step 1 include manual entry, DCS data interaction, and reading of energy consumption metering instruments.

3. The method for energy consumption analysis and management of a natural gas purification plant according to claim 1, characterized in that: The data model includes a purification plant data model, a basic energy-consuming unit data model and a key energy-consuming equipment data model.

4. The method for energy consumption analysis and management of a natural gas purification plant according to claim 1, characterized in that: The purification plant data model and basic energy unit data model include energy unit attributes, operating parameters, production parameters, energy consumption parameters and process flow indicators; the data model of key energy-consuming equipment includes equipment attributes, operating parameters, production parameters, energy consumption parameters and equipment terminal indicators.

5. The method for energy consumption analysis and management of a natural gas purification plant according to claim 1, characterized in that: The basic energy-consuming units include purification units, sulfur recovery units, tail gas treatment units, produced water treatment units, heating units and non-production units, and the key energy-consuming equipment includes pump equipment, gas heating furnaces, air compressors, fans and air coolers.

6. The method for energy consumption analysis and management of a natural gas purification plant according to claim 1, characterized in that: The energy performance parameter calculation formula is: Among them, m j，e is the unit natural gas energy consumption, Q j is energy consumption, D j is the raw gas processing capacity.

7. The method for energy consumption analysis and management of a natural gas purification plant according to claim 1, characterized in that: The energy performance parameters of the purification plant and basic energy-consuming units are process flow indicators, and the energy performance parameters of the key energy-consuming equipment are equipment terminal indicators.

8. The method for energy consumption analysis and management of a natural gas purification plant according to claim 1, characterized in that: The energy consumption prediction method is as follows: using the Holt-Winters algorithm, first taking the hourly energy consumption of energy-consuming objects in the last 30 days as input data to obtain the hourly energy consumption prediction value for today and the future; then taking the daily energy consumption of energy-consuming objects in the last 90 days as input data to obtain the daily energy consumption prediction value for this month and the future.

9. The method for energy consumption analysis and management of a natural gas purification plant according to claim 8, characterized in that: The energy consumption early warning method is: today's actual energy performance parameter and the predicted energy consumption value for each hour in the future are accumulated one by one, and compared with the preset energy consumption threshold for today, until the accumulated value reaches the set threshold, an energy consumption early warning is issued, and a time point when the energy consumption value will exceed the threshold in the future is given; The actual energy performance parameters of this month are accumulated one by one with the predicted energy consumption values ​​for each day in the future, and compared with the preset energy consumption threshold for this month until the accumulated value reaches the set threshold. An energy consumption warning is issued, and the time point when the energy consumption value will exceed the threshold in the future is given.

10. The energy consumption analysis and management system of the natural gas purification plant is characterized by: include: A data acquisition module is used to obtain energy consumption data in the purification plant; A model building module, used to build a data model using the energy consumption data; An energy efficiency calculation module, used for calculating energy performance parameters of the data model; The early warning module is used to use the energy performance to predict energy consumption and to issue an early warning of energy consumption.

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