Multi-level dynamic energy allocation based on workload driving and project-level carbon emission accounting method

Abstract

The application discloses a kind of based on workload driving's multistage dynamic energy distribution and project level carbon emission accounting method, applicable to the field of ocean engineering construction.The method constructs the multistage mapping relationship of specialty-process-workload-energy.Through obtaining the total energy consumption of whole factory level and the actual workload data of each process, each project, after completing consistency check, using three-level distribution mechanism, realize energy from whole factory level to specialty level, process level and project level Gradual accurate distribution.Introduce process activation determination and dynamic normalization mechanism in distribution process, avoid error caused by unexecuted process participating in distribution, and ensure energy conservation through closed adjustment.On this basis, combined with carbon emission factor library, complete project level carbon emission accounting, and store relevant results and parameter information, form traceable, auditable energy distribution and carbon emission accounting link.The application improves the accuracy and fine management level of energy and carbon emission accounting in the field of ocean engineering construction.

Description

Technical Field

[0001] This invention relates to energy management and carbon emission accounting in the field of marine engineering construction, specifically to a multi-level dynamic energy allocation and project-level carbon emission accounting method based on workload-driven approach. Background Technology

[0002] In the field of marine engineering construction, energy consumption is typically statistically analyzed and managed at the plant-wide or specialized level. When calculating carbon emissions, existing methods often rely on proportional conversions based on total energy consumption, making it difficult to accurately trace back to specific projects and processes, leading to significant deviations in project carbon emission results. Furthermore, in scenarios involving concurrent consumption of multiple energy sources, the lack of a unified allocation and accounting mechanism results in insufficient traceability and auditability of related data, hindering the needs for refined management and decision analysis. Summary of the Invention

[0003] To address the aforementioned existing technologies, this invention provides a method for dynamic multi-level energy allocation across professional, process, and project levels during the construction of marine engineering modules, targeting structural and pipeline engineering activities. Based on the actual workload generated at each process stage, this method enables project-level carbon emission accounting. This method is applicable to the construction of marine engineering platforms, marine modules, and related supporting facilities. By constructing a mapping relationship between professional disciplines, processes, workload, and energy, and using the overall plant energy consumption as a foundation, this method breaks down energy consumption level by level to the project level. Based on the energy consumption at each level of the project, it obtains the overall carbon emissions of the project, thereby achieving refined and traceable accounting of energy and carbon emission data.

[0004] To address the aforementioned technical problems, this invention proposes a multi-level dynamic energy allocation and project-level carbon emission accounting method based on workload-driven approaches, comprising the following steps:

[0005] Step 1: Construct a multi-level mapping relationship between profession, process, workload, and energy: The professions involved in marine engineering construction activities are limited to structural engineering and pipeline engineering. Each of these professions is configured with several processes, and an initial allocation ratio β is defined for each process under different energy levels. i , where β i This indicates the theoretical energy consumption allocation weight of the process within its respective specialty and corresponding energy source. Based on this, a mapping relationship table is constructed between specialty, process, workload, and energy. This mapping relationship serves as the basic constraint condition in the subsequent energy allocation and carbon emission calculation process.

[0006] Step 2: Data Collection and Verification: Obtain the total plant-wide energy consumption E_Total for each energy source within the target time interval from the enterprise's daily energy consumption data in the energy management system. E_Total represents the actual metered consumption value of a single energy source within the stated time interval. Obtain the total workload W for each process within the stated time interval from a manufacturing execution system or production ledger system suitable for marine engineering construction. i Total, and the project workload W for each marine engineering project under the corresponding process. i , j Perform a consistency check on the collected data to verify whether it meets the W standard. i Total equals the workload W of each project. i , j The sum of the total workload of the collected processes and the sum of the project workload do not meet the preset consistency constraints. The system pauses the current energy allocation calculation and performs a marking, backtracking, replacement or completion process on the abnormal data until the data meets the calculation constraints before resuming the calculation.

[0007] Step 3: Primary Allocation, Energy Allocation by Specialty Quota: Pre-determine the energy allocation quota α corresponding to the structural and pipeline specialties. k Where k represents the professional identifier, α k This indicates the proportion and weight of the specialty in the total energy consumption of the entire plant; based on the energy allocation quota, the total energy consumption of the entire plant, E_Total, is broken down into the specialty-level energy consumption E_total for each specialty. k Satisfying E k Equal to E_Total and α k The product of the quotas is recorded, along with the version information and source of the quota.

[0008] Step 4, Secondary Allocation, Process Activation Determination and Dynamic Normalization: For each process i under specialty k,

[0009] Based on the total workload W of the process i Total determines the activation status of the process δ i When W i When Total is greater than zero, δ i The value is one, when W i When Total equals zero, δ i The value is zero;

[0010] Based on process activation state δ i With the corresponding original allocation ratio β i Calculate the dynamic normalization coefficient Ω of the professional k under the corresponding energy level. k , where Ω k equal to β of each process under the same specialty i With δi The sum of products; when Ω k When the value is greater than zero, calculate the corrected allocation ratio β of process i. i ', where β i 'equals β i With δ i The product divided by Ω k When Ω k When the value is zero, the process allocation is completed using the preset historical effective allocation ratio, and the allocation strategy used is recorded.

[0011] Step 5: Determine process-level energy consumption: based on professional-level energy consumption E k and the corrected allocation ratio β i 'Calculate the process-level energy consumption E of process i under the corresponding energy level. i Stage, where E i Stage equals E k With β i The product of ';

[0012] Step Six: Three-level allocation, weighted allocation based on workload: For each project j under process i, based on the project workload W... i , j Total workload of the process W j Total, calculates the project weight γ i , j , where γ i , j equals W i , j With W i The ratio of Total; based on the project weight γ i , j Calculate the project-level energy consumption E of project j under process i. i , j Project, where E i , j Project equals E i Stage and γ i , j The product;

[0013] Step 7, Consistency Verification and Closure Adjustment: For any process, verify whether the sum of energy consumption of each item is equal to the corresponding process-level energy consumption; for any energy, verify whether the sum of energy consumption of all specialties, processes, and items is equal to the total energy consumption of the entire plant; when the verification deviation exceeds the preset threshold, perform numerical adjustment according to the preset closure correction rules, and record the adjustment reasons and results.

[0014] Step 8: Carbon Emission Conversion and Factor Management: Convert project-level energy consumption E i ,j The project is matched with the corresponding energy and year carbon emission factors in the carbon emission factor library to calculate the carbon emissions (CO) of project j. 2j CO 2j It equals the sum of the products of each energy consumption and its corresponding carbon emission factor; the carbon emission factor database manages the factor source, applicable area, validity period and version information in a unified manner;

[0015] Step Nine, Results Output and Audit Records: Output the project-process-energy consumption and corresponding carbon emissions as the accounting results and store them in the database. During data storage, record key information such as data source identifier, parameter version, calculation batch and timestamp simultaneously to form a complete, traceable and auditable energy allocation and carbon emission accounting chain applicable to the field of marine engineering construction.

[0016] Furthermore, in the workload-driven multi-level dynamic energy allocation and project-level carbon emission accounting method of the present invention, wherein:

[0017] In step one, the structural engineering process includes cutting, material preparation, prefabrication assembly, prefabrication welding, prefabrication inspection, delivery to the site, installation and hoisting, installation assembly, installation welding, installation inspection, delivery to the sand room, sandblasting, and painting. The pipeline engineering process includes post-cut delivery, prefabrication assembly, assembly quality inspection, prefabrication welding, welding quality inspection, prefabrication release, release quality inspection, handover and assembly, assembly receiving to painting, assembly release to painting, painting receiving, painting completion, painting handover and assembly, assembly receiving to the site, assembly release to the site, site receiving, hoisting completion, on-site assembly, and on-site welding.

[0018] The structural engineering discipline uses the component weight in tons (T) as the unified unit of measurement for the workload of the process; the pipeline engineering discipline uses the weld equivalent dimension (Dia-inch) as the unified unit of measurement for the workload of the process.

[0019] In step four, when the dynamic normalization coefficient Ω k When β = 1, the corrected allocation ratio β i 'Compared to the original allocation ratio β i Keep it consistent; when Ω k When <1, the original allocation ratio β i Renormalization is performed to prevent inactive processes from participating in energy allocation.

[0020] In step seven, when the consistency verification result has a deviation and exceeds the preset threshold, the project weight γ determined in step six is ​​applied. i , j The deviation is allocated and adjusted so that the sum of the adjusted project-level energy consumption is equal to the corresponding process-level energy consumption and the total plant-level energy consumption.

[0021] In step eight, the carbon emission factor f e This indicates the amount of carbon dioxide emissions corresponding to a unit of energy consumption, expressed in kgCO2 / unit of energy.

[0022] In step nine, the output and stored results should include at least the project identifier, professional identifier, process identifier, and project-level energy consumption E. i , j Project and its corresponding project-level carbon emissions (CO) 2j Simultaneously record the project workload W corresponding to each process. i , j The professional quota α adopted k Corrected allocation ratio β i 'and calculation time information.'

[0023] The types of energy involved in this invention include electricity, natural gas, oxygen, argon, carbon dioxide, tap water and diesel. Each type of energy independently executes the energy allocation and carbon emission accounting process in steps three to eight.

[0024] The method of this invention is applicable to the construction of marine engineering platforms, marine engineering modules and related supporting facilities.

[0025] Compared with the prior art, the beneficial effects of the present invention are:

[0026] This invention proposes a workload-driven multi-level dynamic energy allocation and project-level carbon emission accounting method. First, it constructs a multi-level mapping relationship between profession, process, workload, and energy, associating each process of the structural and pipeline professions with its corresponding standard workload measurement unit, and assigning an original allocation ratio as the theoretical energy consumption allocation weight for each process. Then, it obtains the total plant-wide energy consumption from the energy management system, the total workload of each process and the project workload from the manufacturing execution system, and performs data consistency verification.

[0027] In the method of this invention, a three-level allocation mechanism is adopted in the energy allocation stage: the first level of allocation breaks down the plant-wide energy into professional-level energy consumption according to preset professional quotas; the second level of allocation determines the activation status of the process based on the total workload of the process, calculates the dynamic normalization coefficient, and obtains the corrected allocation ratio to determine the process-level energy consumption; the third level of allocation calculates the project weight based on the proportion of project workload to achieve accurate allocation of project-level energy consumption. After allocation is completed, consistency verification and closed-loop adjustment are performed to ensure that the sum of energy consumption at each level conforms to the conservation principle.

[0028] In the method of this invention, during the carbon emission accounting stage, project-level energy consumption is matched with the corresponding energy type and annual carbon emission factors in the carbon emission factor database, according to CO...2j =Σ i Σ e (E i , j Project×f e Calculate the project's carbon emissions. The carbon emission factor database manages factor sources, applicable regions, validity periods, and version information in a unified manner to ensure the accuracy and traceability of the accounting results.

[0029] The method of this invention finally writes information such as project identifier, professional identifier, process identifier, project-level energy consumption, project-level carbon emissions, project workload, professional quota, corrected allocation ratio and calculation time into the database, and records the data source identifier, parameter version, calculation batch and timestamp, forming a complete traceable and auditable energy allocation and carbon emission accounting chain.

[0030] In summary, this invention, through process activation determination and dynamic normalization mechanisms, can automatically adapt to the actual execution of processes, avoiding errors caused by inactive processes participating in energy allocation. By using project-weighted allocation based on actual workload, it achieves precise breakdown of energy consumption from the plant-wide level to the project level. Through multi-level consistency verification and closed-loop adjustment, it ensures the accuracy and completeness of energy allocation results. This method solves the problems of traditional total quantity proportional conversion methods, such as difficulty in accurately tracing back to specific project and process levels, large deviations in project carbon emission results, and insufficient data traceability and auditability. It significantly improves the level of refined management of energy and carbon emission data in the field of marine engineering construction, meets the needs of refined management and decision analysis, and is applicable to the construction scenarios of marine engineering platforms, marine modules, and related supporting facilities. Attached Figure Description

[0031] Figure 1 This is the overall business framework process of the method of this invention;

[0032] Figure 2 This is a multi-level mapping relationship diagram of profession, process, workload, and energy in the method of this invention;

[0033] Figure 3 This is the overall calculation process for consistency verification and closure adjustment in this invention;

[0034] Figure 4 This is a schematic diagram of project-level carbon emission conversion and factor management in this invention. Detailed Implementation

[0035] The specific engineering physical data involved in the method of this invention mainly comes from objectively generated and measurable physical data during the marine engineering construction process, including but not limited to: the weight in tons (T) of structural components, the equivalent dimensions (Dia-inch) of pipeline welds, the actual metered consumption of various energy sources (such as kilowatt-hours (kWh) of electricity, cubic meters (m³) of natural gas, liters (L) of diesel, tons (T) of industrial gases, and tons (T) of tap water), as well as the corresponding time dimension, project dimension, and process dimension information. All of the above data originates from the manufacturing activities themselves, has clear physical meaning and engineering attributes, and can truly reflect the scale and intensity of the structural and pipeline professional physical construction activities during the construction of marine engineering platforms and modules.

[0036] This invention's method fully considers objective factors that align with natural laws and engineering realities in its overall process design. First, energy consumption and production activities follow the fundamental physical law of "energy conservation and usage correspondence," meaning energy can only be consumed in processes where actual production activities occur. Therefore, the activation status of a process is determined by whether its workload is greater than zero, preventing energy consumption from being allocated to processes where no actual work is being done. Second, energy consumption and production scale conform to the engineering experience principle of "intensity changing with workload." This invention directly links project-level energy consumption to the proportion of workload in each process, allowing energy allocation results to dynamically change with the actual construction workload, rather than relying on a fixed ratio, thus more closely reflecting the real construction process. Third, in scenarios involving parallel energy consumption, this invention adheres to the fundamental principle that different energy sources have independent physical properties and cannot be mixed. Energy is allocated and calculated independently, ensuring the consistency of calculation results in both physical meaning and engineering logic.

[0037] Based on the aforementioned engineering physics data and natural law constraints, this invention achieves significant technical results. On one hand, by constructing a multi-level mapping relationship between specialty, process, workload, and energy, and introducing a process activation determination and dynamic normalization mechanism, adaptive energy allocation at the specialty and process levels is achieved, avoiding energy consumption distribution distortion caused by process shutdowns or temporary non-execution. On the other hand, through a weighted allocation mechanism based on project workload, energy consumption can be precisely drilled down from the plant-wide level to specific projects, enabling quantifiable, calculable, and comparable project-level energy consumption and carbon emission results. Furthermore, through multi-level consistency verification and closed-loop adjustment mechanisms, the energy allocation results at the plant-wide, specialty, process, and project levels meet conservation constraints, significantly improving the completeness and reliability of the calculation results.

[0038] This invention addresses a long-standing technical problem in marine engineering construction: the difficulty in accurately attributing energy consumption and carbon emissions to specific projects and processes under production models involving multiple parallel projects, overlapping structural and pipeline operations, and centralized energy metering. Traditional methods typically only provide statistics at the plant-wide level, failing to reflect the actual energy consumption differences across projects due to variations in construction scale and process structure, thus affecting the accuracy of project carbon emission accounting results. This invention solves the technical challenge of a lack of direct correlation between energy consumption and project construction activities by introducing a multi-level dynamic allocation method with engineering workload as the core driving factor. This provides project-level carbon emission accounting results with clear engineering and physical basis, meeting the practical needs of marine engineering construction in areas such as refined management, carbon emission control, and decision analysis.

[0039] like Figure 1 As shown, the method of this invention takes marine engineering construction bases as the target and integrates various energy sources such as electricity, diesel, natural gas, industrial gases and tap water into the plant's energy metering system. Based on obtaining the total energy consumption of the entire plant, and combined with the actual operation activities of each process under the structural and pipeline specialties, a multi-level energy allocation method is adopted to allocate energy consumption from the plant level to the specialties and processes, and finally to specific projects, forming project-level energy consumption results. Then, based on the corresponding carbon emission factors, project-level carbon emission results are calculated, providing an accurate and traceable data foundation for dual-carbon management and decision support in the field of marine engineering construction.

[0040] The present invention will be further described below with reference to the accompanying drawings and specific embodiments, but the following embodiments are by no means intended to limit the present invention.

[0041] This invention proposes a multi-level dynamic energy allocation and project-level carbon emission accounting method based on workload-driven approaches, which specifically includes the following steps:

[0042] Step 1: Construct a multi-level mapping relationship between profession, process, workload, and energy.

[0043] The specialties involved in marine engineering construction activities are limited to structural engineering and pipeline engineering. The structural engineering specialties are configured with the following processes: cutting, material preparation, prefabrication assembly, prefabrication welding, prefabrication inspection, on-site delivery, installation and hoisting, installation assembly, installation welding, installation inspection, delivery of sandboxes, sandblasting, and painting. The pipeline engineering specialties are configured with the following processes: post-cutting delivery, prefabrication assembly, assembly quality inspection, prefabrication welding, welding quality inspection, prefabrication release, release quality inspection, handover and assembly, assembly receiving to painting, assembly release to painting, painting receiving, painting completion, painting handover and assembly, assembly receiving to the site, assembly release to the site, site receiving, hoisting completion, on-site assembly, and on-site welding.

[0044] Define the original allocation ratio β for each process under each energy source. i , where β i This represents the theoretical energy consumption allocation weight of the process within its respective specialty and corresponding energy level. Based on this, a mapping relationship is constructed between specialty, process, workload, and energy. Taking structure as an example, the constructed mapping relationship matrix is ​​as follows: Figure 2 As shown, each element in the matrix is ​​β. i The horizontal axis represents all the processes corresponding to the structure, and the vertical axis represents all the energy sources, in the following order: oxygen, carbon dioxide, argon, natural gas, electricity, green electricity, diesel, tap water, solar energy, and high-energy natural gas. This mapping relationship serves as the basic constraint in the subsequent energy allocation and carbon emission calculation process.

[0045] Step 2: Collect and verify basic data.

[0046] The plant-wide total energy consumption E_Total is obtained from the daily energy consumption data of the energy management system within the target time interval, where E_Total represents the actual metered consumption value of a single energy source within the time interval. The total workload W of each process within the time interval is obtained from a manufacturing execution system or production ledger system suitable for marine engineering construction. i Total, and the project workload W for each marine engineering project under the corresponding process. i , j .

[0047] Perform a consistency check on the collected data to verify whether it meets W. i Total equals the workload W of each project. i , j The sum of the total workload of the collected processes and the sum of the project workload do not meet the preset consistency constraints. The system pauses the current energy allocation calculation and performs technical processing procedures such as marking, backtracking, replacing or completing the abnormal data until the data meets the calculation constraints before resuming the calculation.

[0048] Step 3: Primary allocation, energy is split according to professional quotas.

[0049] Predetermine the energy allocation quota α for each specialty. k Where k represents the professional identifier, α k This indicates the weighting of that specialty within the overall plant energy consumption. Based on the aforementioned quota, the total plant-wide energy consumption E_Total is broken down into specialty-level energy consumption E_for each specialty. k Satisfying E k Equal to E_Total and α k The product of the quotas is recorded, along with the version information and source of the quota.

[0050] Step 4: Secondary allocation, process activation determination and dynamic normalization.

[0051] For each process i under specialty k, based on the total workload W of the process. i Total determines the activation status of the process δ i When W i When Total is greater than zero, δ i The value is one, when W i When Total equals zero, δ i The value is zero. Based on the process activation state δ i With the corresponding original allocation ratio β i Calculate the dynamic normalization coefficient Ω of the professional k under the corresponding energy. k , where Ω k equal to β of each process under the same specialty i With δ i The sum of products.

[0052] When Ω k When the value is greater than zero, calculate the corrected allocation ratio β of process i. i ', where β i 'equals β i With δ i The product divided by Ω k When Ω k When the value is zero, the process allocation is completed using the preset historical effective allocation ratio, and the allocation strategy used is recorded.

[0053] Step 5: Determine the energy consumption at the process level.

[0054] Based on professional-grade energy consumption E k and the corrected allocation ratio β i 'Calculate the process-level energy consumption E of process i under the corresponding energy level. i Stage, where Eᵢ, Stage equals E k With β i The product of '.

[0055] Step Six: Three-level allocation, project weighted allocation based on workload.

[0056] For each item j under process i, based on the project workload W i , j Total workload of the process W i Total, calculates the project weight γ i , j , where γ i , j equals W i , j With W iThe ratio of Total to Total. Based on the project weight γ. i , j Calculate the project-level energy consumption E of project j under process i. i , j Project, where E i , j Project equals E i Stage and γ i , j The product of.

[0057] Step 7: Consistency check and closure adjustment.

[0058] For any given process, verify whether the sum of energy consumption for all items equals the corresponding process-level energy consumption. For any given energy level, verify whether the sum of energy consumption for all specialties, processes, and items equals the total plant-wide energy consumption. When the verification deviation exceeds a preset threshold, perform numerical adjustments according to preset closed-loop correction rules, and record the reasons and results of the adjustments. Figure 3 As shown.

[0059] Step 8: Carbon emission conversion and factor management.

[0060] Carbon emission calculation factors determine how much carbon emissions are produced per unit of energy consumption. A unified management factor mechanism is needed, such as... Figure 3 As shown, the project-level energy consumption E i , j The project is matched with the corresponding energy and year carbon emission factors in the carbon emission factor library to calculate the carbon emissions (CO) of project j. 2j CO 2j It equals the sum of the products of each energy consumption and its corresponding carbon emission factor. The carbon emission factor database provides unified management of factor sources, applicable regions, validity periods, and version information.

[0061] Step 9: Output Results and Audit Log.

[0062] The project, process, energy consumption, and corresponding carbon emissions are written into the database, and the data source identifier, parameter version, calculation batch, and timestamp are recorded to form a complete, traceable, and auditable energy allocation and carbon emission accounting chain applicable to the field of marine engineering construction.

[0063] Example

[0064] The calculation process in this embodiment is as follows: Figure 4 As shown, two marine engineering module construction projects, denoted as Project P1 and Project P2, are being carried out simultaneously within the marine engineering construction base. The participating disciplines are limited to structural engineering and pipeline engineering, and the energy type is illustrated using electricity as an example.

[0065] During the aforementioned statistical period, the actual plant-wide electricity consumption obtained through the energy management system is as follows:

[0066] E_Total = 10,000 kWh, where E_Total represents the actual metered consumption of this energy by the entire plant during the statistical period.

[0067] For this embodiment, the workload-driven multi-level dynamic energy allocation and project-level carbon emission accounting method includes the following steps:

[0068] Step 1: Constructing a professional-process-workload-energy mapping system based on engineering measurement standards.

[0069] In this embodiment, a workload measurement method that conforms to the actual situation of marine engineering construction is adopted for different professions:

[0070] Structural engineering: The weight of components in tons (T) is used as the unified unit of measurement for the workload of each process.

[0071] Pipeline engineering: Weld equivalent dimensions (Dia-inch) are used as the unified unit of measurement for the workload of the process.

[0072] The structural engineering department sets up installation welding and installation assembly procedures; the pipeline engineering department sets up on-site welding and on-site assembly procedures. For energy consumption, an initial allocation ratio β is assigned to each procedure. i The β i The theoretical energy consumption allocation weight of process i within its respective specialty and under corresponding energy conditions is as follows:

[0073] Structural engineering includes: installation and welding processes: β1=0.6, installation and assembly processes: β2=0.4;

[0074] Pipeline work includes: field welding procedures: β3=0.7, field assembly procedures: β4=0.3;

[0075] Based on the above configuration, a mapping table between specialty, process, workload, and energy is constructed to constrain the subsequent energy allocation calculation process. Where β... i This represents the theoretical energy consumption allocation weight of process i within its respective specialty and under corresponding energy conditions.

[0076] Step 2: Workload Collection and Consistency Verification

[0077] Workload data for each process within the statistical period is collected from the Manufacturing Execution System.

[0078] The workload for structural engineering procedures is as follows (unit: T):

[0079] The installation and welding process includes: total workload of the process W1,Total=100T; workload of project P1 W1,1=60T; workload of project P2 W1,2=40T.

[0080] The installation process includes: total workload of process W2,Total=50T; workload of project P1 W2,1=20T; workload of project P2 W2,2=30T.

[0081] The workload for pipeline-related procedures is as follows (unit: Dia-inch):

[0082] The on-site welding process includes: Total workload of process W3,Total=80Dia-inch; Workload of project P1 W3,1=50Dia-inch; Workload of project P2 W3,2=30Dia-inch.

[0083] The on-site assembly process includes: total workload of process W4,Total=20Dia-inch; workload of project P1 W4,1=10Dia-inch; workload of project P2 W4,2=10Dia-inch.

[0084] After verification, each process satisfies the condition that "the total workload of the process is equal to the sum of the workloads of the corresponding projects", and the data is valid.

[0085] Step 3, Primary Allocation – Energy Splitting Based on Specialized Quotas

[0086] Predetermine the energy allocation quota α for structural and pipeline engineering under electrical conditions. k , where α k The weighting of specialty k in the total energy consumption of the plant is represented by the following values: structural specialty: α1 = 0.6, pipeline specialty: α2 = 0.4.

[0087] Accordingly, the total plant-level energy consumption E_Total is broken down into specialized energy consumption, including: structural specialized energy consumption: E1=E_Total×α1=6,000kWh, and pipeline specialized energy consumption: E2=E_Total×α2=4,000kWh.

[0088] Step 4, Secondary Allocation – Process Activation and Dynamic Normalization Processing

[0089] Taking structural engineering as an example, since the installation and welding process and the installation group process both generate effective engineering workload within the statistical period, the total workload of the process is greater than zero. Therefore, the corresponding process activation states δ1 and δ2 are both set to 1.

[0090] Based on process activation state δ i Compared with the original allocation ratio β iThe dynamic normalization coefficient Ω1 of the calculation structure under electrical conditions is given by: Ω1 = β1 × δ1 + β2 × δ2 = 0.6 × 1 + 0.4 × 1 = 1.0.

[0091] When the dynamic normalization coefficient Ω1 equals 1, it indicates that all processes involved in the calculation under the structural discipline are active, and the original allocation ratios have met the normalization constraints. Therefore, after dynamic normalization, the corrected allocation ratio β of each process... i 'and the corresponding original allocation ratio β i To maintain consistency, specifically:

[0092] Installation and welding process: β1'=0.6; Installation and assembly process: β2'=0.4.

[0093] It should be noted that when some processes under the structural discipline do not generate engineering workload within the statistical period, the corresponding δ i When the value is 0, the dynamic normalization coefficient Ω1 will be less than 1, and the adjusted allocation ratio β will be... i The original allocation ratio will be renormalized to avoid inactive processes from participating in energy allocation.

[0094] Step 5: Calculation of process-level energy consumption

[0095] Based on professional-level energy consumption and the corrected allocation ratio, the process-level energy consumption of each process in the structural engineering discipline is calculated, including:

[0096] Installation and welding process: E1, Stage = 6,000 × 0.6 = 3,600 kWh;

[0097] Installation assembly process: E2, Stage = 6,000 × 0.4 = 2,400 kWh.

[0098] Step Six: Weighted Allocation of Projects Based on Workload

[0099] Taking the structural installation and welding process as an example, the project weight γ is calculated based on the project workload and the total workload of the process. i , j :

[0100] γ1,1=60 / 100=0.6; γ1,2=40 / 100=0.4.

[0101] Based on this, calculate the project-level energy consumption:

[0102] Project P1: E1,1,Project=2,160kWh; Project P2: E1,2,Project=1,440kWh.

[0103] The remaining processes and pipeline work were allocated in the same way, based on tonnage and dia-inch workload respectively.

[0104] Step 7: Consistency Verification and Closure Processing

[0105] After completing steps three through six, the total energy consumption of the entire plant has been obtained. Professional-grade energy consumption Process-level energy consumption and project-level energy consumption Based on this, a consistency check is performed on the energy allocation results.

[0106] First, for any process i, verify whether the sum of the project-level energy consumption of all items j under that process is equal to the process-level energy consumption of that process, wherein: the sum of the project-level energy consumption is equal to the sum of all items j under that process. The sum of the values, wherein the process-level energy consumption is the value calculated in step five. .

[0107] When the sum of the project-level energy consumption equals the corresponding process-level energy consumption, the energy allocation result at that process level is considered to meet the consistency requirement.

[0108] Secondly, a plant-wide verification was conducted to check whether the sum of the energy consumption at the project level for all specialties, processes, and projects equaled the total energy consumption at the plant level. .

[0109] If the verification result at any level deviates and exceeds the preset threshold, the project weight determined in step six shall apply. The deviation is allocated and adjusted so that the sum of the adjusted project-level energy consumption is equal to the corresponding process-level energy consumption and the total plant-level energy consumption.

[0110] Step 8: Carbon Emission Conversion and Carbon Emission Factor Management

[0111] After obtaining the project-level energy consumption results, carbon emission conversion calculations are performed on the project-level energy consumption.

[0112] Specifically, the project-level energy consumption E of project j under each process i and each energy type will be calculated. i , j The project corresponds to the carbon emission factor f in the carbon emission factor database for the energy type and applicable year. e Perform matching. Where, f e This indicates the amount of carbon dioxide emissions corresponding to a unit of energy consumption, expressed in kgCO2 / unit of energy.

[0113] The carbon emissions of project j (CO) 2j Calculate as follows:

[0114] CO 2j =Σ i Σ e (E i , j Project×f e );

[0115] In this embodiment, taking electricity as an example, the carbon emission factor for the corresponding year is selected as:

[0116] f_electric = 0.570 kgCO2 / kWh;

[0117] Based on this, carbon emission conversion is performed on the electricity consumption of project j to obtain project-level carbon emission results. The carbon emission factor is the unit energy carbon emission coefficient corresponding to the energy type and statistical year, and is uniformly managed by the carbon emission factor database.

[0118] Step 9: Output and Recording Results

[0119] The calculation results obtained from steps three through eight are output and stored. These results include at least project identifier, professional identifier, process identifier, and project-level energy consumption. and the corresponding project-level carbon emissions (CO) 2j .

[0120] At the same time, record the project workload corresponding to each process. The unit of measurement for structural engineering workload is component weight in tons (T), while the unit of measurement for pipeline engineering workload is weld equivalent dimension (Dia-inch). The applicable professional quotas are also recorded. Corrected allocation ratio This includes calculation time information, thereby generating records of energy distribution and carbon emission accounting results applicable to the field of marine engineering construction.

[0121] Although the present invention has been described above in conjunction with the accompanying drawings, the present invention is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many improvements and changes under the guidance of the present invention without departing from the spirit of the present invention, and these improvements and changes are all within the protection scope of the present invention.

Claims

1. A multi-level dynamic energy allocation and project-level carbon emission accounting method based on workload-driven approach, characterized in that, Includes the following steps: Step 1: Construct a multi-level mapping relationship between specialty, process, workload, and energy. The specialties involved in marine engineering construction activities are limited to structural engineering and pipeline engineering. Each of these specialties comprises several processes, and for each process, an initial allocation ratio β is defined under various energy sources. i , where β i This represents the theoretical energy consumption allocation weight of the process within its respective specialty and corresponding energy level. Based on this, a mapping table is constructed, representing the specialty, process, workload, and energy consumption. This mapping table is a matrix, where each element represents the original allocation ratio β. i The horizontal axis of this matrix represents all the processes corresponding to the structural discipline, and the vertical axis represents all the energy sources corresponding to each process, specifically oxygen, carbon dioxide, argon, natural gas, electricity, green electricity, diesel, tap water, solar energy, and high-energy natural gas. The above mapping relationship serves as the basic constraint condition for energy allocation and carbon emission calculation in subsequent steps two to eight. Step 2: Collect and verify basic data; The total plant-wide energy consumption E_Total is obtained from the enterprise's energy management system, where E_Total represents the actual metered consumption of a single energy source within the target time interval. The total workload W of each process within the time interval is obtained from a manufacturing execution system or production ledger system suitable for marine engineering construction. i Total, and the project workload W for each marine engineering project under the corresponding process. i , j ; Perform a consistency check on the collected data to verify whether it meets W. i Total equals the workload W of each project. i , j The sum of the total workload of the collected processes and the sum of the project workload do not meet the preset consistency constraints. The system pauses the current energy allocation calculation and performs a marking, backtracking, replacement or completion process on the abnormal data until the data meets the calculation constraints before resuming the calculation. Step 3: Primary allocation, breaking down energy according to professional quotas; Predetermine the energy allocation quota α corresponding to the structural and pipeline specialties. k Where k represents the professional identifier, α k This indicates the proportion and weight of the specialty in the total energy consumption of the plant; Based on the energy allocation quota, the total energy consumption of the entire plant, E_Total, is broken down into the professional-level energy consumption, E_Total, for each specialty. k Satisfying E k Equal to E_Total and α k The product of the quotas is recorded, along with the version information and source of the quota. Step 4: Secondary allocation, process activation determination and dynamic normalization; For each process i under specialty k, based on the total workload W of the process. i Total determines the activation status of the process δ i When W i When Total is greater than zero, δ i The value is one, when W i When Total equals zero, δ i The value is zero; based on the process activation state δ i With the corresponding original allocation ratio β i Calculate the dynamic normalization coefficient Ω of the professional k under the corresponding energy. k , where Ω k equal to β of each process under the same specialty i With δ i The sum of products; When Ω k When the value is greater than zero, calculate the corrected allocation ratio β of process i. i ', where β i 'equals β i With δ i The product divided by Ω k When Ω k When the value is zero, the process allocation is completed using the preset historical effective allocation ratio, and the allocation strategy used is recorded. Step 5: Determine the energy consumption at the process level; Based on professional-grade energy consumption E k and the corrected allocation ratio β i 'Calculate the process-level energy consumption E of process i under the corresponding energy level. i Stage, where E i Stage equals E k With β i The product of '; Step Six: Three-tier allocation, project weighted allocation based on workload; For each item j under process i, based on the project workload W i , j Total workload of the process W i Total, calculates the project weights γi. j , where γ i , j equals W i , j With W i The ratio of Total; based on the project weight γ i , j Calculate the project-level energy consumption E of project j under process i. i , j Project, where E i , j Project equals E i Stage and γ i , j The product; Step 7: Consistency verification and closure adjustment; For any process, verify whether the sum of energy consumption of each item is equal to the corresponding process-level energy consumption; for any energy, verify whether the sum of energy consumption of all specialties, processes and items is equal to the total energy consumption of the entire plant; when the verification deviation exceeds the preset threshold, perform numerical adjustment according to the preset closed correction rule, and record the reason and result of the adjustment. Step 8: Carbon Emission Conversion and Factor Management; Project-level energy consumption E i , j The project corresponds to the energy and annual carbon emission factor f in the carbon emission factor database. e Perform matching and calculate the carbon emissions (CO) of project j. 2j CO 2j It equals the sum of the products of each energy consumption and its corresponding carbon emission factor; the carbon emission factor database manages the factor source, applicable area, validity period and version information in a unified manner; Step Nine: Output Results and Audit Log; The project, process, energy consumption, and corresponding carbon emissions are stored in the database. During the data storage process, the data source identifier, parameter version, calculation batch, and timestamp are recorded simultaneously. Finally, a complete energy allocation and carbon emission accounting chain with traceability and auditability is output, which is applicable to the construction scenarios of marine engineering platforms, marine engineering modules, and related supporting facilities.

2. The multi-level dynamic energy allocation and project-level carbon emission accounting method based on workload-driven approach according to claim 1, characterized in that, In step one, the structural engineering process includes cutting, material preparation, prefabrication assembly, prefabrication welding, prefabrication inspection, delivery to the site, installation and hoisting, installation assembly, installation welding, installation inspection, delivery to the sand room, sandblasting, and painting. The pipeline engineering process includes post-cut delivery, prefabrication assembly, assembly quality inspection, prefabrication welding, welding quality inspection, prefabrication release, release quality inspection, handover and assembly, assembly receiving to painting, assembly release to painting, painting receiving, painting completion, painting handover and assembly, assembly receiving to the site, assembly release to the site, site receiving, hoisting completion, on-site assembly, and on-site welding.

3. The multi-level dynamic energy allocation and project-level carbon emission accounting method based on workload-driven approach according to claim 1, characterized in that, The structural engineering discipline uses the component weight in tons (T) as the unified unit of measurement for the workload of the process; the pipeline engineering discipline uses the weld equivalent dimension (Dia-inch) as the unified unit of measurement for the workload of the process.

4. The multi-level dynamic energy allocation and project-level carbon emission accounting method based on workload-driven approach according to claim 1, characterized in that, In step four, when the dynamic normalization coefficient Ω k When β = 1, the corrected allocation ratio β i 'Compared to the original allocation ratio β i Keep it consistent; when Ω k When <1, the original allocation ratio β i Renormalization is performed to prevent inactive processes from participating in energy allocation.

5. The multi-level dynamic energy allocation and project-level carbon emission accounting method based on workload-driven approach according to claim 1, characterized in that, In step seven, when the consistency verification result has a deviation and exceeds a preset threshold, the project weight γ determined in step six is ​​applied. i , j The deviation is allocated and adjusted so that the sum of the adjusted project-level energy consumption is equal to the corresponding process-level energy consumption and the total plant-level energy consumption.

6. The multi-level dynamic energy allocation and project-level carbon emission accounting method based on workload-driven approach according to claim 1, characterized in that, In step eight, the carbon emission factor f e This indicates the amount of carbon dioxide emissions corresponding to a unit of energy consumption, expressed in kgCO2 / unit of energy.

7. The method for multi-level dynamic energy allocation and project-level carbon emission accounting based on workload-driven approach according to claim 1, characterized in that, In step nine, the output and stored results should include at least the project identifier, professional identifier, process identifier, and project-level energy consumption E. i , j Project and its corresponding project-level carbon emissions (CO) 2j Simultaneously record the project workload W corresponding to each process. i , j The professional quota α adopted k Corrected allocation ratio β i 'and calculation time information.' 8. The multi-level dynamic energy allocation and project-level carbon emission accounting method based on workload-driven approach according to claim 1, characterized in that: The types of energy include oxygen, carbon dioxide, argon, natural gas, electricity, green electricity, diesel, tap water, solar energy, and high-energy natural gas. Steps three through eight are performed independently for each type of energy.

9. An application of a workload-driven multi-level dynamic energy allocation and project-level carbon emission accounting method, characterized in that, The workload-driven multi-level dynamic energy allocation and project-level carbon emission accounting method described in any one of claims 1 to 8 is applicable to the construction scenarios of marine engineering platforms, marine engineering modules and related supporting facilities.

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