Energy-saving and carbon-reducing strategy recommendation method based on energy carbon data portrait

Abstract

This invention relates to the field of energy and carbon management technology, and discloses a method for recommending energy-saving and carbon-reduction strategies based on energy and carbon data profiling. The method includes: identifying target energy-consuming units with independent primary energy input, auxiliary power consumption, carbon dioxide emissions, and physical output measurement; selecting a reference window and a current window with the same measurement boundary to obtain four measurement data; normalizing the output scale using physical output to generate a three-dimensional energy and carbon offset ripple, total variation amplitude, and variation direction; when the total variation amplitude is non-zero, retrieving and arranging verified historical cases according to directional proximity to form a candidate measure ranking order and an energy-saving and carbon-reduction recommendation list; and updating the case direction based on post-implementation measurement records with the same caliber. This invention is used for measure recommendation and effect verification in energy and carbon management scenarios.

Description

Technical Field

[0001] This invention relates to the field of energy and carbon management technology, and more specifically, to a method for recommending energy-saving and carbon-reduction strategies based on energy and carbon data profiling. Background Technology

[0002] Industrial enterprises and industrial parks typically have energy management systems that integrate gas meters, auxiliary equipment meters, carbon emission monitoring devices, steam flow meters, and production systems, generating records of energy consumption, emissions, and output. In on-site management, energy and carbon profiles are often displayed by energy type, equipment category, time interval, or individual indicators, and the measures database is frequently searchable by equipment name, energy category, and experience tags. While this approach facilitates daily statistics, changes in production load, steam demand fluctuations, or auxiliary equipment operating status can cause simultaneous changes in main energy input, auxiliary equipment electricity consumption, carbon dioxide emissions, and physical output. Judging solely by absolute values ​​or similar averages can easily lead to normal changes due to increased output being included in priority management items, and it's difficult to distinguish the sources of deviations at the main energy input, auxiliary equipment electricity consumption, and carbon emission ends. Furthermore, implemented energy-saving and carbon-reduction projects typically retain project names, implementation dates, and acceptance results, but the correlation between pre- and post-implementation metering records and subsequent recommendations is insufficient, making it difficult for historical cases to directly support the current candidate measures ranking. For energy and carbon management platforms, it is necessary to transform multiple types of measured records within the same measurement boundary into verifiable profiles without changing the on-site metering points and production control processes, and to form a consistent data link for measure recommendations, suggestion confirmation, and post-implementation verification. Summary of the Invention

[0003] This invention provides a method for recommending energy-saving and carbon-reduction strategies based on energy and carbon data profiling, which solves the technical problems mentioned in the background art.

[0004] To achieve the above-mentioned objectives, the present invention provides the following technical solution.

[0005] An energy conservation and carbon reduction strategy recommendation method based on energy and carbon data profiling is applied to an energy and carbon management platform, including: Identify the target energy-consuming unit, which is an energy-supplying unit with independent main energy input, auxiliary machine power consumption, carbon dioxide emissions and physical output measurement; Select the reference window and the current window that share the same target energy consumption unit and the same metering boundary; The system obtains four measurement data items, consisting of main energy input consumption, auxiliary machine power consumption, carbon dioxide emissions, and physical output. The main energy input consumption is the energy input measurement value excluding auxiliary machine power consumption. The four measurement data items in the reference window and the physical output in the current window are all positive. The output scale is normalized by the physical output amount of the main energy input, auxiliary machine power consumption and carbon dioxide emissions, and a three-dimensional energy carbon offset pattern is generated according to the same caliber. The three-dimensional energy carbon offset pattern includes the main energy input change ratio, power consumption change ratio and carbon emission change ratio, which are fixedly arranged according to the main energy input end, auxiliary machine power consumption end and carbon emission end. Based on the total variation amplitude and direction of the three-dimensional energy carbon offset texture generation; When the total change is non-zero, screen verified historical cases with compatible equipment conditions, and determine the order of candidate measures based on the directional proximity determined by the directional consistency and offset relationship of the main energy input end, auxiliary power consumption end and carbon emission end. The case direction is determined by four quantitative data points with the same caliber before and after the implementation of verified historical cases. Generate a list of energy conservation and carbon reduction recommendations, and update the case direction based on the same measurement records before and after the implementation of candidate measures.

[0006] Compared with the prior art, the present invention has the following substantial features and significant progress: This invention relies on existing metering points and an energy and carbon management platform to incorporate main energy input, auxiliary power consumption, carbon dioxide emissions, and physical output into the same metering boundary. It reduces the interference of output fluctuations on the judgment results by normalizing physical output, and uses a three-dimensional energy and carbon offset pattern to distinguish the sources of offset at the main energy input end, auxiliary power consumption end, and carbon emission end. Based on this, it uses the case direction and directional proximity of verified historical cases to rank candidate measures, ensuring that the energy-saving and carbon-reduction recommendation list corresponds to on-site metering results, equipment conditions, and subsequent verification records. This reduces misrecommendations caused by single indicators or manual weighting, and improves the traceability of the energy and carbon management platform in terms of measure retrieval, sorting, and verification. Attached Figure Description

[0007] Figure 1 This is a mechanism diagram of the energy-saving and carbon-reduction strategy recommendation method based on energy and carbon data profiling of the present invention. Detailed Implementation

[0008] The following description is provided in conjunction with the accompanying drawings. It should be understood that the following embodiments are for illustrative purposes only and are not intended to limit the invention; those skilled in the art can make equivalent substitutions or combinations for the specific implementations.

[0009] This implementation uses the energy and carbon management platform 100 as the execution carrier and the target energy-consuming unit 200 as the processing object. See also Figure 1 , Figure 1The relationship between the energy and carbon management platform 100, the target energy consumption unit 200, the metering data interface 300, the data preprocessing module 400, the profile generation module 500, the historical case library 600, the strategy recommendation module 700, and the implementation verification module 800 is illustrated.

[0010] This implementation method applies to an energy and carbon management platform 100 already deployed in an industrial enterprise or industrial park. This platform 100 can access existing electricity meters, gas meters, heat meters, flow meters, carbon emission monitoring devices, production monitoring systems, carbon accounting records, and historical project archives. The platform 100 utilizes existing metering data and historical case data to generate a list of energy-saving and carbon-reduction recommendations for energy management positions.

[0011] Specifically, when production load, physical output, or operating status changes within a statistical period, how can we avoid misjudgments caused by making recommendations based solely on the absolute value of a single item, and how can we establish comparable data representations between main energy input consumption, auxiliary power consumption, carbon dioxide emissions, and physical output across different dimensions? To this end, the Energy and Carbon Management Platform 100 uses the same target energy-consuming unit, the same metering boundary, the reference window, and the current window as constraints. It normalizes the output scale of main energy input consumption, auxiliary power consumption, and carbon dioxide emissions using physical output, and then generates a three-dimensional energy and carbon offset pattern.

[0012] Figure 1 The energy and carbon management platform 100 can be composed of existing servers, databases, middleware, and business applications. The metering data interface 300 is responsible for acquiring four metering data items within the same metering boundary; the data preprocessing module 400 is responsible for organizing the four metering data items into a calculable and effective statistical period; the profile generation module 500 is responsible for generating three-dimensional energy and carbon offset patterns, total variation amplitude, and variation direction; the historical case library 600 is responsible for storing verified historical cases and their directions; the strategy recommendation module 700 is responsible for determining the order of candidate measures based on directional proximity and measured results; and the implementation verification module 800 is responsible for re-acquiring metering records of the same caliber and updating the case directions after the candidate measures are implemented.

[0013] In a preferred embodiment, the target energy-consuming unit 200 is a gas-fired steam supply unit. This gas-fired steam supply unit typically includes a gas inlet, a boiler body, a blower, a water pump, a flue gas outlet, and a steam header. A gas meter records gas consumption, an auxiliary power meter records auxiliary power consumption, a carbon emission monitoring device records carbon dioxide emissions, and a steam flow meter records steam output.

[0014] Furthermore, the implementation methods for determining the target energy-consuming units and establishing the object catalog are as follows: The energy and carbon management platform 100 first identifies the target energy-consuming unit 200. The target energy-consuming unit 200 is an energy-supplying unit with independent primary energy input, auxiliary power consumption, carbon dioxide emissions, and physical output measurement. Independent primary energy input refers to the energy input measurement value that the energy and carbon management platform 100 can obtain within the enterprise's existing metering boundaries, excluding auxiliary power consumption; auxiliary power consumption refers to the electricity consumption of electric auxiliary equipment related to the operation of the target energy-consuming unit 200; carbon dioxide emissions refer to the emission measurement value within the carbon emission boundary corresponding to the target energy-consuming unit 200 or the enterprise's carbon accounting record value; and physical output measurement refers to the physical output output of the target energy-consuming unit 200 to downstream production or service recipients.

[0015] When establishing the object directory, the Energy and Carbon Management Platform 100 stores enterprises, target energy-consuming units, equipment groups, and metering points according to hierarchical relationships. Enterprises are used for summary management; target energy-consuming units are used to define profiles and recommend applicable objects; equipment groups are used to record similar equipment such as boilers, blowers, and water pumps; and metering points are used to associate with existing metering sources such as gas meters, auxiliary electrical meters, carbon emission monitoring devices, and steam flow meters. The object directory can be stored using an existing relational database, time-series database, or the enterprise's existing ledger system; its field expansion is a standard software implementation.

[0016] The metering point number is a key piece of information in the object catalog. When establishing the object catalog, the energy and carbon management platform 100 associates the metering point numbers of the four metering data items with the target energy-consuming unit 200. The metering point number is used for timestamp association and metering boundary verification: timestamp association ensures that the four metering data items in different systems fall within the same statistical interval; metering boundary verification ensures that the reference window, the current window, and the periods before and after implementation use the same target energy-consuming unit and the same metering boundary.

[0017] In the implementation of the gas-fired steam supply unit, the target energy-consuming unit 200 corresponds to a boiler room or a gas-fired steam supply unit. The object directory can store the gas meter metering point number, auxiliary electromechanical meter metering point number, carbon emission monitoring device metering point number, and steam flow meter metering point number.

[0018] The object directory can also store object type, energy type, equipment category, applicable equipment, implementation conditions, metering boundary version, and activation status. This information is used for subsequent screening of verified historical cases with compatible equipment conditions.

[0019] Furthermore, the implementation methods for selecting the reference window and the current window are as follows: After identifying the target energy-consuming unit 200, the energy and carbon management platform 100 selects a reference window and a current window for the same target energy-consuming unit and the same metering boundary. The reference window provides a comparison benchmark, while the current window reflects the current operating status of the target energy-consuming unit 200. The reference window and the current window can have statistical periods such as hours, days, weeks, or months, but they should both use the same statistical period rules and their data coverage integrity and metering boundary closure should be confirmed by the data preprocessing module 400.

[0020] Let the reference window be denoted as The current window is denoted as In a typical energy-supplying unit, the main energy input is denoted as... The power consumption of auxiliary equipment is recorded as Carbon dioxide emissions are denoted as Physical output is recorded as .in, Energy input metering values ​​derived from sources other than auxiliary equipment power consumption. Derived from auxiliary equipment power consumption metering values, Sourced from carbon emission monitoring devices or corporate carbon accounting records. It originates from the cumulative value of physical output measurement devices or production systems.

[0021] In the gas-fired steam supply unit, the main energy input is the gas consumption, and the actual output is the steam output. The gas consumption at this time is denoted as... The power consumption of auxiliary equipment is still recorded as Carbon dioxide emissions are still recorded as Steam output is denoted as Gas consumption is obtained through a gas meter, auxiliary power consumption is obtained through an auxiliary power meter, carbon dioxide emissions are obtained through a carbon emission monitoring device, and steam output is obtained through a steam flow meter.

[0022] All four measurement data in the reference window are positive, and the current window's physical output is positive. This condition is used to avoid the denominator being zero when normalizing output scale and to ensure that the reference window can serve as a benchmark for comparison of changing proportions. For gas-fired steam supply units, gas consumption, auxiliary equipment power consumption, carbon dioxide emissions, and steam output in the reference window are all positive, and the current window's steam output is positive. If any of the four measurement data in the reference window is not positive, the Energy and Carbon Management Platform 100 will not use the reference window as a benchmark for comparison.

[0023] The reference window allows you to select the historical stable operating cycle of the target energy-consuming unit 200, the previous verifiable statistical cycle, or the benchmark cycle stipulated by the company's management system. The current window allows you to select the statistical cycle in which the most recent quality processing was completed.

[0024] Furthermore, the implementation methods for obtaining four measurement data items and data preprocessing are as follows: like Figure 1 As shown, the target energy-consuming unit 200 provides four metering data items to the metering data interface 300 in the energy and carbon management platform 100. These four data items consist of main energy input consumption, auxiliary machine power consumption, carbon dioxide emissions, and physical output. Main energy input consumption refers to the metered value of energy input excluding auxiliary machine power consumption; auxiliary machine power consumption is the cumulative power consumption of electric auxiliary machines within the statistical window; carbon dioxide emissions are the cumulative emissions given by the carbon emission monitoring device or the enterprise's carbon accounting record; and physical output is the cumulative physical output output by the target energy-consuming unit 200 within the statistical window.

[0025] The metering data interface 300 can read four metering data items using existing system database views, application programming interfaces, batch file imports, or industrial communication gateways. This reading method is a conventional data access method in existing technology, and its function is to hand over the metering records already existing in the enterprise system to the energy and carbon management platform 100 for processing.

[0026] Before generating the triaxial energy carbon offset pattern, the data preprocessing module 400 converts the four measurement data from different systems to the same statistical interval, associates them according to the measurement point number and timestamp, and deletes duplicate four measurement data.

[0027] For missing segments caused by communication interruptions, the data preprocessing module 400 prioritizes rereading frozen instrument values ​​or cumulative values ​​from the production system; if rereading is not possible, it is marked as missing. This missing segment marker prevents incomplete data from entering profile calculations and strategy effectiveness verification. The data preprocessing module 400 can retain original data, processed data, and quality processing records. The quality processing records can include the processing rule number, pre-processing value, post-processing value, processing time, and processing reason. These records are used for audit traceability and are standard data governance measures in the existing energy and carbon management platform.

[0028] The data preprocessing module 400 determines the effective statistical period based on the coverage integrity of the four measurement data items, the closure of measurement boundaries, and the quality processing records, and only uses the effective statistical period to select the reference window and the current window. The coverage integrity of the four measurement data items means that there are usable records for the main energy input, auxiliary power consumption, carbon dioxide emissions, and physical output within the same statistical period; the closure of measurement boundaries means that the four measurement data items all belong to the same target energy-consuming unit 200 and the same measurement boundary; the quality processing records are records used to prove that duplicate records, missing segments, outliers, and unit errors have been processed or marked.

[0029] In the gas and steam supply unit, the data preprocessing module 400 can check whether the cumulative reading of the gas meter is going backwards, whether the reading of the auxiliary electromechanical meter is jumping suddenly, whether the carbon emission monitoring device record remains unchanged for a long time, and whether the unit of the cumulative value of the steam flow meter is consistent. For records confirmed to be due to acquisition failure, the data preprocessing module 400 marks them as invalid; for records formed by actual start-up and shutdown, sudden load changes, or changes in production arrangements, the data preprocessing module 400 retains them.

[0030] The data preprocessing module 400 uses established criteria in existing metering data governance to determine abnormal data: "Backtracking" refers to a subsequent cumulative reading being less than the previous cumulative reading under the same metering point number; "Duplicate four metering data items" refers to multiple records with the same metering point number, timestamp, and data type; "Missing segment" refers to the statistical window lacking the starting or ending cumulative value required to form the cumulative usage; "Sudden jump" refers to an increase in adjacent cumulative readings exceeding the allowed increment range recorded in the enterprise's existing metering management configuration for that metering point; "Unchanged for a long time" refers to cumulative readings remaining unchanged at consecutive sampling points, and the operating status record of the target energy unit 200 not supporting this result; "Unit error" refers to a mismatch between the metering data unit and the metering point configuration unit.

[0031] When multiple anomalies occur simultaneously, the data preprocessing module 400 processes them in the following order: first, metering boundary verification; second, timestamp association; third, duplicate record deletion; fourth, missing segment processing; and fifth, outlier marking. Statistical periods with inconsistent metering boundaries are not included in the valid statistical periods; missing segments are marked as missing when the instrument's frozen value or the production system's cumulative value cannot be read back; the four metering data items marked as missing or invalid are not included in the calculation of the three-dimensional energy carbon offset pattern, directional proximity, and candidate measure ranking order.

[0032] Furthermore, the implementation methods for output scale normalization and triaxial energy carbon offset texture are as follows: The portrait generation module 500 receives the reference window and the current window output by the data preprocessing module 400. In order to eliminate the impact of changes in physical output on the main energy input, auxiliary power consumption, and carbon dioxide emissions, the portrait generation module 500 normalizes the output scale of the main energy input, auxiliary power consumption, and carbon dioxide emissions based on the physical output.

[0033] The image generation module 500 generates a three-dimensional energy carbon offset texture based on the same caliber variation. Same caliber variation means that the reference window and the current window involved in the calculation correspond to the same target energy-consuming unit, the same metering boundary, the same statistical interval, the same caliber of the four metering data sources, and the same output scale normalization method; for gas and steam supply units, it is also required that the gas consumption, auxiliary machine power consumption, carbon dioxide emissions, and steam output all come from the same caliber metering records of the same gas and steam supply unit.

[0034] In a typical energy-consuming unit, the main energy input per unit output, auxiliary power consumption per unit output, and carbon emissions per unit output are calculated based on a reference window and the current window, respectively. The main energy input per unit output is denoted as... The electricity consumption of auxiliary equipment per unit output is recorded as Carbon emissions per unit output are denoted as The calculation method is as follows: ,in, Indicates the first The amount of primary energy input per unit of output for each statistical window Indicates the first The main energy input consumption in each statistical window Indicates the first The physical output of each statistical window.

[0035] ,in, Indicates the first Electricity consumption of auxiliary equipment per unit output in each statistical window Indicates the first The auxiliary power consumption of each statistical window. Indicates the first The physical output of each statistical window.

[0036] ,in, Indicates the first Carbon emissions per unit output of a statistical window Indicates the first Carbon dioxide emissions for each statistical window Indicates the first The physical output of each statistical window.

[0037] In a gas-fired steam supply unit, the unit steam gas consumption, the unit steam auxiliary equipment power consumption, and the unit steam carbon emission are calculated as follows: ,in, Indicates the first The unit steam and gas consumption of each statistical window Indicates the first Gas consumption in each statistical window Indicates the first Steam output for each statistical window.

[0038] ,in, Indicates the first Electricity consumption per unit of steam auxiliary equipment in each statistical window Indicates the first The auxiliary power consumption of each statistical window. Indicates the first Steam output for each statistical window.

[0039] ,in, Indicates the first Carbon emission per unit steam in each statistical window Indicates the first Carbon dioxide emissions for each statistical window Indicates the first Steam output for each statistical window.

[0040] The purpose of output scale normalization is that when the target energy-consuming unit 200 experiences an increase in main energy input, auxiliary power consumption, and carbon dioxide emissions due to increased production tasks, the main energy input per unit output, auxiliary power consumption per unit output, and carbon emissions per unit output do not necessarily increase in tandem. In this way, the energy and carbon management platform 100 will not mistakenly identify normal production increases as energy efficiency deterioration simply because of an increase in physical output.

[0041] The image generation module 500 then uses the corresponding unit output in the reference window as a comparison benchmark to generate the proportions of change in main energy input, electricity consumption, and carbon emissions. In a typical energy-supplying unit, the proportions of change in main energy input, electricity consumption, and carbon emissions are calculated as follows: ,in, Indicates the percentage change in primary energy input. This indicates the amount of primary energy input required per unit of output in the current window. This indicates the unit output of primary energy input consumption in the reference window.

[0042] ,in, Indicates the percentage change in electricity consumption. This indicates the power consumption of auxiliary equipment per unit of output in the current window. This indicates the power consumption of auxiliary equipment per unit output in the reference window.

[0043] ,in, Indicates the percentage change in carbon emissions. This indicates the carbon emissions per unit of output for the current window. This indicates the carbon emissions per unit output of the reference window.

[0044] For the gas and steam supply unit, the main energy input consumption is the gas consumption, the main energy input consumption per unit output corresponds to the gas consumption per unit of steam, the auxiliary power consumption per unit output corresponds to the auxiliary power consumption per unit of steam, and the carbon emission per unit output corresponds to the carbon emission per unit of steam.

[0045] ,in, Indicates the first The amount of primary energy input per unit of output for each statistical window Indicates the first The unit steam and gas consumption of each statistical window.

[0046] ,in, Indicates the first Electricity consumption of auxiliary equipment per unit output in each statistical window Indicates the first Electricity consumption of steam auxiliary equipment per unit in each statistical window.

[0047] ,in, Indicates the first Carbon emissions per unit output of a statistical window Indicates the first The amount of carbon emitted per unit of steam in each statistical window.

[0048] The image generation module 500 generates a three-dimensional energy carbon offset pattern according to a fixed arrangement of the main energy input end, auxiliary power consumption end, and carbon emission end. In a typical energy supply unit, the three-dimensional energy carbon offset pattern can be represented as: ,in, This indicates a three-dimensional carbon offset pattern. Indicates the percentage change in primary energy input. Indicates the percentage change in electricity consumption. This indicates the percentage change in carbon emissions. The order of the percentage change in main energy input, electricity consumption, and carbon emissions is fixed.

[0049] In the gas-fired steam supply unit, the three-dimensional carbon offset pattern can be represented as: ,in, This indicates a three-dimensional carbon offset pattern. Indicates the percentage change in primary energy input. Indicates the percentage change in electricity consumption. This indicates the carbon emission variation ratio. In the gas-fired steam supply unit, the gas consumption is used to form the main energy input variation ratio, and the three-dimensional energy carbon offset lines are still fixedly arranged at the main energy input end, auxiliary power supply end, and carbon emission end.

[0050] Furthermore, the implementation methods for the total magnitude and direction of change are as follows: The image generation module 500 generates the total variation amplitude and direction of the three-dimensional energy carbon offset pattern. The total variation amplitude is used to represent the overall degree of offset of the three-dimensional energy carbon offset pattern relative to the reference window, and the direction of change is used to indicate that the offset is mainly reflected at the main energy input end, auxiliary power consumption end, carbon emission end, or a combination of multiple ends.

[0051] In a typical energy supply unit, the total variation is calculated as follows: ,in, Indicates the total range of change. Indicates the percentage change in primary energy input. Indicates the percentage change in electricity consumption. This indicates the percentage change in carbon emissions.

[0052] In the gas-fired steam supply unit, the total variation is calculated as follows: ,in, Indicates the total range of change. Indicates the percentage change in primary energy input. Indicates the percentage change in electricity consumption. This indicates the percentage change in carbon emissions.

[0053] When the total change amplitude is non-zero, the image generation module 500 calculates the direction of change. In a typical energy-supplying unit, the direction of change is calculated as follows: ,in, Indicates the direction of change. This indicates a three-dimensional carbon offset pattern. This indicates the total range of change.

[0054] When the total change amplitude is zero, the energy and carbon management platform 100 records that no unit output energy and carbon offset occurs in the current window and stops generating a candidate measure ranking order based on the three-dimensional energy and carbon offset pattern. This process avoids forcibly recommending candidate measures when the three-dimensional energy and carbon offset pattern has no identifiable direction. A total change amplitude of zero indicates that the unit output main energy input, unit output auxiliary power consumption, and unit output carbon emission in the current window relative to the reference window have not shown any changes that can be used for directional matching.

[0055] Furthermore, the implementation methods for screening verified historical cases and forming case directions are as follows: The historical case database stores 600 verified historical cases. Each verified historical case retains at least the following information: target object, metering boundary, applicable equipment, implementation conditions, pre-implementation statistical window, post-implementation statistical window, four pre-implementation metering data points, four post-implementation metering data points, case direction, metered verified energy savings, metered verified emission reductions, and verification status. This information can be derived from the company's existing energy-saving project archives, acceptance records, and historical verification records from the Energy and Carbon Management Platform 100, representing a routine accumulation of existing project management data.

[0056] When the strategy recommendation module 700 filters verified historical cases, it first performs technical compatibility screening based on object type, energy type, and equipment category. Then, based on applicable equipment and implementation conditions, it retains verified historical cases that are compatible with the operating boundary of the target energy-consuming unit 200 and have complete four metering data sets. Equipment compatibility is not a manual score, but rather a means to exclude historical cases where the target energy-consuming unit 200 lacks the corresponding equipment, has inconsistent metering boundaries, does not meet implementation conditions, or has incomplete four metering data sets.

[0057] Operational boundary compatibility must include at least the following criteria: the target energy unit type of the verified historical case is consistent with or comparable to the current target energy unit 200; the energy type is consistent with the energy type corresponding to the main energy input consumption; the equipment category is consistent with or clearly covers the applicable equipment in the target energy unit 200; the verified historical case has metering records with the same caliber before and after implementation; the four metering data in the verified historical case are complete; the physical output of the period before and after implementation is positive; the unit output main energy input consumption, unit output auxiliary power consumption, and unit output carbon emissions in the window before implementation of the verified historical case are all positive, and the metering boundary has not undergone any changes that affect the comparability of the four metering data. Verified historical cases that do not meet any of the above minimum criteria are not included in the directional proximity calculation.

[0058] The case study direction is formed by four metering data points with the same caliber before and after the implementation of verified historical cases. For general energy supply and consumption units, the window before the implementation of verified historical cases is denoted as... After implementation, the window is recorded as First, calculate the main energy input per unit output, auxiliary power consumption per unit output, and carbon emissions per unit output before and after implementation. Then, formulate the case direction in the same way as the target energy unit 200.

[0059] For gas-fired steam supply units, the gas consumption, auxiliary power consumption, carbon dioxide emissions, and steam output before and after implementation in historical cases have been verified to form the case direction. The case direction of each verified historical case is denoted as .

[0060] No. Each verified historical case is recorded as a pre-implementation window. After implementation, the window is recorded as When formulating case study directions, the pre-implementation window is used as a reference, and the post-implementation window is used as the current window. The proportions of changes in main energy input, electricity consumption, and carbon emissions in the case study are formed using the same output scale normalization method.

[0061] Before calculating the change ratios of the main energy input, electricity consumption, and carbon emissions in the case study, the strategy recommendation module 700 checks the... The unit output primary energy input, unit output auxiliary power consumption, and unit output carbon emissions are measured before the implementation of verified historical cases. , or If any one of these is zero, the verified historical case will not be included in the direction proximity calculation; only when the main energy input per unit output, the auxiliary power consumption per unit output, and the carbon emissions per unit output are all positive will the calculation of the case's main energy input change ratio, the case's power consumption change ratio, and the case's carbon emission change ratio continue.

[0062] ,in, Indicates the first The proportion of changes in main energy input in verified historical cases. Indicates the first The unit output and main energy input consumption of the window after the implementation of verified historical cases. Indicates the first The unit output and main energy input consumption of each verified historical case before implementation.

[0063] ,in, Indicates the first The percentage change in electricity consumption for each verified historical case. Indicates the first The unit output auxiliary power consumption of the window after the implementation of the verified historical cases. Indicates the first Electricity consumption of auxiliary equipment in units produced before the implementation of verified historical cases.

[0064] ,in, Indicates the first The percentage change in carbon emissions from verified historical cases. Indicates the first The unit output carbon emissions of a window after the implementation of a verified historical case. Indicates the first The unit output carbon emissions of each verified historical case before implementation.

[0065] ,in, Indicates the first A verified historical case of three-dimensional carbon offset texture. This indicates the percentage change in the main energy input of the case. This indicates the percentage change in electricity consumption in the case study. This indicates the percentage change in carbon emissions in the case study.

[0066] ,in, Indicates the first The total change range of each verified historical case. This indicates the percentage change in the main energy input of the case. This indicates the percentage change in electricity consumption in the case study. This indicates the percentage change in carbon emissions in the case study.

[0067] In one implementation, the first For each verified historical case, the case direction can be first determined to establish the case change ratio, and then the length can be normalized. If the first... The verified historical case is marked with a three-dimensional carbon offset pattern. The total change in the case is recorded as Then the case direction can be represented as: ,in, Indicates the first Case directions based on verified historical cases, Indicates the first A verified historical case of three-dimensional carbon offset texture. Indicates the first The total change range of each verified historical case. If If the value is zero, then the verified historical case is not considered a valid case for direction matching.

[0068] Furthermore, the implementation methods for directional proximity and candidate measure ranking are as follows: When the total change is non-zero, the strategy recommendation module 700 filters verified historical cases with compatible equipment conditions and determines the order of candidate measures based on the directional proximity relationship determined by the directional consistency and offset relationship of the main energy input end, auxiliary power consumption end, and carbon emission end. The directional proximity is used to indicate the change direction of the target energy-consuming unit 200 and the first... The degree of consistency between the case directions of verified historical cases.

[0069] In one implementation, the directional proximity is calculated using a cosine value: ,in, Indicates the target energy consumption unit 200 and the first directional similarity between verified historical cases This indicates the triaxial carbon offset pattern of the target energy unit 200. Indicates the first Case directions based on verified historical cases, The L2 norm of the triaxial carbon shifting fringes is represented. This represents the L2 norm of the case direction. The lower bound for the direction proximity is -1, and the upper bound is 1.

[0070] The greater the directional proximity, the closer the target energy unit 200 is to the first energy input terminal, auxiliary power terminal, and carbon emission terminal in terms of their relative directional orientation. A verified historical case. If the directional proximity is close to 1, it means that the target energy unit 200 and the verified historical case have strong directional consistency at the three ends; if the directional proximity is close, it means that the offset relationship between the two is not obvious; if the directional proximity is negative, it means that the directional relationship between the two is opposite at at least one end.

[0071] When determining the order of candidate measures, the strategy recommendation module 700 first arranges them from high to low according to directional proximity. If the directional proximity is the same, they are arranged from high to low according to the emission reductions verified in the historical cases corresponding to the candidate measures; if the emission reductions verified in the historical cases corresponding to the candidate measures are still the same, they are arranged from high to low according to the energy savings verified in the historical cases corresponding to the candidate measures.

[0072] Verified emission reductions and energy savings are derived from the measured verification results of verified historical cases. Verified emission reductions are used to prioritize candidate measures with higher emission reduction effects among those with similar directional similarity. Verified energy savings are used to further determine the ranking among candidate measures with similar directional similarity and verified emission reductions. If all three remain identical, the Energy and Carbon Management Platform 100 can provide stable output based on case number, measure number, or creation time.

[0073] Furthermore, the implementation method for generating the energy conservation and carbon reduction recommendation list is as follows: After the strategy recommendation module 700 determines the order of candidate measures, the energy and carbon management platform 100 generates a list of energy-saving and carbon-reduction recommendations. This list is intended for energy management positions and is used to plan on-site inspections, maintenance, commissioning, or retrofitting.

[0074] When generating a list of energy conservation and carbon reduction recommendations, each recommendation records the target energy-consuming unit, the recommended action, the expected energy savings, the expected emission reduction, the metering points to be retained, and the verification cycle. The target energy-consuming unit clarifies the object of the recommendation; the recommended action describes the on-site verification, maintenance, commissioning, or modification tasks that energy management personnel can arrange; the expected energy savings and expected emission reduction illustrate the historical effects of the candidate measures; and the metering points to be retained and the verification cycle are used to obtain consistent metering records after the implementation of the candidate measures.

[0075] The recording criteria for expected energy savings and expected emission reductions should be consistent with those for measured results in verified historical cases. Expected energy savings should at least correspond to the metered and verified energy savings obtained from changes in main energy input and auxiliary power consumption in verified historical cases, and expected emission reductions should at least correspond to the metered and verified emission reductions obtained from changes in carbon dioxide emissions in verified historical cases. If a conversion factor or emission factor version is used for conversion, the conversion factor or emission factor version should remain consistent between the pre-implementation window and the post-implementation window of the verified historical case.

[0076] The expected energy savings and expected emission reductions are determined based on the metered and verified energy savings and emission reductions in the verified historical cases corresponding to the candidate measures. For gas-fired steam supply units, the expected energy savings can be determined based on the measured changes in gas consumption or auxiliary power consumption in the verified historical cases, and the expected emission reductions can be determined based on the measured changes in carbon dioxide emissions in the verified historical cases.

[0077] The metering points to be retained include the metering point numbers used to obtain the four metering data. For gas and steam supply units, the metering points to be retained may include the gas metering point number, the auxiliary machine metering point number, the carbon emission monitoring device metering point number, and the steam flow metering point number. The verification cycle can be determined according to the company's management system as one or more effective statistical cycles after the completion of the measures, but the verification cycle must meet the requirements of the same target energy-consuming unit, the same metering boundary, and positive physical output.

[0078] The list of energy-saving and carbon-reduction recommendations can be pushed to energy management positions through the Energy and Carbon Management Platform 100 page, the work order system, or report files. The Energy and Carbon Management Platform 100 can retain statuses such as recommended, confirmed, postponed, rejected, under implementation, completed, and verified.

[0079] Furthermore, the implementation method for updating the case direction after the candidate measures are implemented is as follows: After the candidate measure is implemented, the implementation verification module 800 updates the case direction based on the same measurement records before and after implementation. For implemented candidate measures, the implementation verification module 800 records the start time, completion time, target, and measurement boundary. Within the period before and after implementation, where the target energy-consuming unit, the same measurement boundary, and the physical output are positive, the implementation verification module 800 re-acquires four measurement data items.

[0080] The metering records before and after implementation must be consistent in terms of target energy consumption units, metering boundaries, metering point numbers, or be verified as comparable through metering boundary verification, and have consistent statistical cycle rules, and the physical output must be positive. For gas and steam supply units, the metering records before and after implementation must include gas consumption, auxiliary equipment power consumption, carbon dioxide emissions, and steam output before and after implementation.

[0081] When the target energy-consuming units, metering boundaries, physical output, and four complete metering data are consistent before and after implementation, the implementation verification module 800 will write the new case direction, total change range, metering vouchers, actual energy savings, and actual emission reductions into the valid case set. Metering vouchers may include the original metering record index, data processing records, statistical window number, and verification conclusion.

[0082] When the four measurement data are incomplete, the implementation verification module 800 marks it as pending verification and does not update the case direction. The pending verification status indicates that the implementation record of the candidate measure already exists, but the conditions for updating the case direction using measured data are not yet met.

[0083] Actual energy savings and actual emission reductions can be obtained or calculated from the metering records before and after implementation, based on the company's existing accounting standards.

[0084] Actual energy savings are determined at least by changes in main energy input and auxiliary power consumption in metering records with the same caliber before and after implementation. Actual emission reductions are determined at least by changes in carbon dioxide emissions in metering records with the same caliber before and after implementation. For gas-fired steam supply units, actual energy savings are determined at least by gas consumption and auxiliary power consumption before and after implementation, and actual emission reductions are determined at least by carbon dioxide emissions before and after implementation. If conversion to a uniform energy consumption or uniform emission level is required, the existing conversion factor or emission factor version used by the enterprise and consistent with the period before and after implementation should be adopted.

[0085] As an optional implementation, the steam demand, boiler operating status, and the operating status of the blower and water pump of the gas-fired steam supply unit are all within historically stable ranges. The gas consumption, auxiliary power consumption, and carbon dioxide emissions in the current window relative to the reference window may change slightly in sync with steam output, but after steam output normalization, the changes in gas consumption per unit of steam, auxiliary power consumption per unit of steam, and carbon emissions per unit of steam are small. The total variation calculated by the profile generation module 500 can be zero or close to zero. If the total variation is zero, the energy and carbon management platform 100 records that no energy and carbon offset per unit output occurs in the current window and stops generating the candidate measure ranking order based on the three-dimensional energy and carbon offset pattern.

[0086] As an optional implementation, the steam output of the gas-fired steam supply unit remains comparable, but the gas consumption increases significantly relative to the reference window, while the changes in auxiliary power consumption and carbon dioxide emissions are small or asynchronous with the changes in gas consumption. After the profile generation module 500 normalizes the steam output, the proportion of changes in the main energy input better reflects the changes at the main energy input end compared to the proportions of changes in power consumption and carbon emissions. The three-dimensional energy carbon offset pattern retains a fixed arrangement of the main energy input end, auxiliary power consumption end, and carbon emission end, enabling the strategy recommendation module 700 to retrieve verified historical cases that are closer to the offset of the main energy input end. After calculating the directional proximity, the strategy recommendation module 700 prioritizes candidate measures that are close to the direction of change and are compatible with the equipment conditions. If two candidate measures have the same directional proximity, they are further compared step by step according to the metered verified emission reduction and the metered verified energy saving.

[0087] As an optional implementation, changes in the operating efficiency or operating period of electric auxiliary equipment such as blowers and water pumps can lead to an increase in the electricity consumption per unit of steam auxiliary equipment relative to the reference window. After the data preprocessing module 400 confirms that the auxiliary equipment meter records are complete and the current steam output is positive, the profile generation module 500 calculates the electricity consumption change ratio. Since the three-dimensional energy carbon offset pattern is fixedly arranged according to the main energy input end, the auxiliary equipment electricity consumption end, and the carbon emission end, changes in the electricity consumption change ratio will not be masked by changes in the main energy input ratio or carbon emission ratio. When the strategy recommendation module 700 filters verified historical cases with compatible equipment conditions in the historical case library 600, it will exclude historical cases incompatible with auxiliary equipment based on object type, energy type, and equipment category, and retain verified historical cases with compatible operating boundaries and complete four metering data. Subsequently, a candidate measure order is formed based on directional proximity, so that the energy-saving and carbon reduction suggestion list can correspond to the actual offset of the auxiliary equipment electricity consumption end.

[0088] Although embodiments of this application have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of this application, and all such modifications and variations fall within the scope defined by the appended claims.

Claims

1. A method for recommending energy-saving and carbon-reduction strategies based on energy and carbon data profiling, applied to an energy and carbon management platform, characterized in that... include: Identify the target energy-consuming unit, which is an energy-supplying unit with independent main energy input, auxiliary machine power consumption, carbon dioxide emissions and physical output measurement; Select the reference window and the current window that share the same target energy consumption unit and the same metering boundary; The system obtains four measurement data items, consisting of main energy input consumption, auxiliary machine power consumption, carbon dioxide emissions, and physical output. The main energy input consumption is the energy input measurement value excluding auxiliary machine power consumption. The four measurement data items in the reference window and the physical output in the current window are all positive. The output scale is normalized by the physical output amount of the main energy input, auxiliary machine power consumption and carbon dioxide emissions, and a three-dimensional energy carbon offset pattern is generated according to the same caliber. The three-dimensional energy carbon offset pattern includes the main energy input change ratio, power consumption change ratio and carbon emission change ratio, which are fixedly arranged according to the main energy input end, auxiliary machine power consumption end and carbon emission end. Based on the total variation amplitude and direction of the three-dimensional energy carbon offset texture generation; When the total change is non-zero, screen verified historical cases with compatible equipment conditions, and determine the order of candidate measures based on the directional proximity determined by the directional consistency and offset relationship of the main energy input end, auxiliary power consumption end and carbon emission end. The case direction is determined by four quantitative data points with the same caliber before and after the implementation of verified historical cases. Generate a list of energy conservation and carbon reduction recommendations, and update the case direction based on the same measurement records before and after the implementation of candidate measures.

2. The energy-saving and carbon-reduction strategy recommendation method based on energy and carbon data profiling according to claim 1, characterized in that, The target energy-consuming unit is a gas-steam supply unit. The main energy input is the gas consumption, which is obtained through a gas meter. The auxiliary power consumption is obtained through an auxiliary power meter. The carbon dioxide emissions are obtained through a carbon emission monitoring device. The actual output is the steam output, which is obtained through a steam flow meter.

3. The method for recommending energy-saving and carbon-reduction strategies based on energy and carbon data profiling according to claim 1, characterized in that, When establishing the object directory, the metering point number of the four metering data items is associated with the target energy-consuming unit. The metering point number is used for timestamp association and metering boundary verification.

4. The method for recommending energy-saving and carbon-reduction strategies based on energy and carbon data profiling according to claim 1, characterized in that, Before generating the three-dimensional carbon offset pattern, the four measurement data from different systems are converted to the same statistical interval, associated by measurement point number and timestamp, and duplicate of the four measurement data are deleted; for missing segments caused by communication interruption, the frozen value of the instrument or the cumulative value of the production system is read back first, and if it cannot be read back, it is marked as missing; the effective statistical period is determined according to the coverage integrity of the four measurement data, the closure of the measurement boundary and the quality processing record, and the effective statistical period is used only to select the reference window and the current window.

5. The method for recommending energy-saving and carbon-reduction strategies based on energy and carbon data profiling according to claim 1, characterized in that, When generating the three-dimensional carbon offset texture, the main energy input consumption per unit output, the auxiliary power consumption per unit output, and the carbon emission per unit output are formed based on the reference window and the current window, respectively. The main energy input change ratio, the power consumption change ratio, and the carbon emission change ratio are formed with the corresponding unit output in the reference window as the comparison benchmark.

6. The method for recommending energy-saving and carbon-reduction strategies based on energy and carbon data profiling according to claim 1, characterized in that, When the total change amplitude is zero, it is recorded that no unit output energy carbon shift occurs in the current window, and the generation of the candidate measure arrangement order based on the triaxial energy carbon shift pattern is stopped.

7. The method for recommending energy-saving and carbon-reduction strategies based on energy and carbon data profiling according to claim 1, characterized in that, When screening the verified historical cases, technical compatibility is first screened according to object type, energy type and equipment category, and the verified historical cases that are compatible with the operating boundary of the target energy unit and have complete four metering data are retained according to applicable equipment and implementation conditions.

8. The method for recommending energy-saving and carbon-reduction strategies based on energy and carbon data profiling according to claim 1, characterized in that, When determining the order of the candidate measures, they are first arranged from high to low according to the directional proximity; if the directional proximity is the same, they are arranged from high to low according to the emission reductions verified by measurement in the verified historical cases corresponding to the candidate measures; if the emission reductions verified by measurement are still the same, they are arranged from high to low according to the energy savings verified by measurement in the verified historical cases corresponding to the candidate measures.

9. The method for recommending energy-saving and carbon-reduction strategies based on energy and carbon data profiling according to claim 1, characterized in that, When generating the energy conservation and carbon reduction recommendation list, each recommendation records the target energy-consuming unit, the recommended action, the expected energy saving, the expected emission reduction, the metering points to be retained, and the verification cycle. The expected energy saving and the expected emission reduction are determined based on the metered and verified energy saving and emission reduction in the verified historical cases corresponding to the candidate measures. The metering points to be retained and the verification cycle are used to obtain metering records of the same caliber after the implementation of the candidate measures.

10. The method for recommending energy-saving and carbon-reduction strategies based on energy and carbon data profiling according to claim 1, characterized in that, When updating the case direction, the start time, completion time, target, and measurement boundary of the implemented candidate measures are recorded. Within the implementation period with the same target energy consumption unit, the same measurement boundary, and positive physical output, the four measurement data are re-acquired. When the target energy consumption unit, measurement boundary, physical output, and the four measurement data are consistent before and after the implementation period, the new case direction, the total change range, measurement certificate, actual energy saving, and actual emission reduction are written into the valid case set. When the four measurement data are incomplete, the case is marked as pending verification and the case direction is not updated.

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