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CN-122022183-A - Construction carbon emission spatialization list construction method and system based on behavior and load coupling

CN122022183ACN 122022183 ACN122022183 ACN 122022183ACN-122022183-A

Abstract

The invention discloses a building carbon emission spatialization list construction method and system based on behavior and load coupling, and relates to the field of environmental information technology and carbon emission accounting. The invention effectively solves the core technical problem of constructing a refined and spatial emission list in the region with the loss of basic energy consumption activity level data, and the generated list can accurately describe the space-time diversity characteristic of the carbon emission of the building, thereby providing a high-precision quantization tool and a reliable decision basis for the pollution and carbon reduction accurate management and control, the land and soil space planning optimization and the regional air quality simulation of urban and rural construction.

Inventors

  • WANG YUAN
  • Ding Zimen
  • XIAN LONG

Assignees

  • 天津大学

Dates

Publication Date
20260512
Application Date
20260211

Claims (8)

  1. 1. The construction method of the spatial list of the carbon emission of the building based on the behavior and load coupling is characterized by comprising the following steps: S1, acquiring macroscopic total amount data of building operation carbon emission of a target area, a building basic geographic information database containing all single building geographic space outlines and functional attribute codes, and resident space-time behavior characteristic data; s2, calculating preliminary carbon emission allocation amounts of various buildings according to the resident space-time behavior characteristic data; S3, calculating the refined carbon emission of each monomer building according to the preliminary carbon emission allocation amount; S4, generating a building carbon emission grid space distribution list covering the whole target area according to the refined carbon emission of all the monomer buildings.
  2. 2. The method for constructing a spatial list of carbon emissions in a building based on behavioral and load coupling according to claim 1, wherein S2 comprises: According to the time-space behavior characteristic data of residents, extracting the daily effective residence time of the residents in various buildings, and calculating the time dimension contribution weight; Acquiring the total occupied area of various buildings according to the basic geographic information data of the buildings, and calculating space dimension contribution weights by combining corresponding personnel bearing density reference values in unit area; Synthesizing a category comprehensive weight coefficient according to the time dimension contribution weight and the space dimension contribution weight; And primarily distributing macroscopic total data to various buildings according to the category comprehensive weight coefficient to obtain the primary carbon emission distribution amount of each category.
  3. 3. The method for constructing a spatial list of carbon emissions in a building based on behavior and load coupling according to claim 2, wherein S3 comprises: aiming at the single building under the target category, calculating a static space load reference value of the single building according to the occupied area of the single building and the corresponding personnel bearing density reference value of the unit area; determining a utilization coefficient according to the function type, the operation time rule and the seasonal use characteristics of the single building; calculating an effective space load value according to the static space load reference value and the utilization coefficient of the single building; And calculating to obtain the refined carbon emission of the monomer building according to the effective space load value of the monomer building.
  4. 4. The method for constructing a spatial list of architectural carbon emissions based on behavioral and load coupling according to claim 2, wherein when synthesizing the class comprehensive weight coefficients, the time dimension contribution weight and the space dimension contribution weight are weighted averaged, wherein a preset adjustment factor is introduced to balance the contributions of the time and space factors.
  5. 5. A method of building carbon emission spatialization inventory construction based on behavioral and load coupling according to claim 3, characterized in that the effective space load value is obtained by multiplying the static space load reference value by the utilization coefficient.
  6. 6. The method for constructing a spatial list of carbon emissions in a building based on behavioral and load coupling according to claim 1, wherein S4 comprises: Correlating the refined carbon emission of all the monomer buildings with the geographic coordinates of all the monomer buildings to form a point source emission space data set; And aggregating the point source emission space data set into regular geographic grid cells with preset scales, and calculating the accumulated total carbon emission in each grid cell.
  7. 7. The method for constructing a spatial list of carbon emission of a building based on coupling of behaviors and loads according to claim 6, wherein the geographic coordinates are centroid coordinates of the outline of the building, and the regular geographic grid cells of a preset scale are geographic grid cells of 1km×1km or 5km×5 km.
  8. 8. A system for building a spatialization inventory of carbon emissions based on behavioral and load coupling, the system for implementing the method of any of claims 1-7, comprising: the acquisition module is used for acquiring macroscopic total amount data of building operation carbon emission of a target area, a building basic geographic information database containing all single building geographic space outlines and functional attribute codes and resident space-time behavior characteristic data; The first calculation module is used for calculating the preliminary carbon emission allocation amount of each building according to the resident space-time behavior characteristic data; The second calculation module is used for calculating the refined carbon emission of each monomer building according to the preliminary carbon emission allocation amount; and the generation module is used for generating a building carbon emission gridding space distribution list covering the whole target area according to the refined carbon emission of all the single buildings.

Description

Construction carbon emission spatialization list construction method and system based on behavior and load coupling Technical Field The invention relates to the field of environmental information technology and carbon emission accounting, in particular to a building carbon emission spatialization list construction method and system based on behavior and load coupling. Background The construction operation stage is an important field of urban and rural energy consumption and carbon emission, and the emission has a long-term locking effect, so that the construction of a high-resolution and spatial construction carbon emission list is important. Currently, the accounting and inventory construction methods of building operation carbon emissions are mainly divided into two categories: the first type is a "bottom-up" physical model approach. The method relies on detailed monomer building information such as building envelope structures, equipment energy efficiency, time-by-time operation conditions and the like, energy consumption is calculated through energy consumption simulation software (such as EnergyPlus, deST), and carbon emission is calculated by combining emission factors. The method has high precision, but has extremely strict data requirements, and needs a large number of building physical parameters and operation records which are difficult to acquire. In remote areas with severe cold such as Tibet, the building archives are not complete and monitoring facilities are lacking, so that the method has serious inapplicability and is difficult to apply in a large scale. The second category is "top-down" statistical distribution. The method is based on regional energy consumption statistics, and distributes regional energy consumption statistics to smaller space units according to a certain proportion (such as building area, population and economic index). In the prior art, common distribution agent indexes comprise night light data, land utilization data, household registration population distribution and the like. However, these methods have a significant disadvantage in that, first, they fail to adequately consider the actual use strength and time law of the building. For example, high-intensity energy usage characteristics of public buildings during daytime and commercial buildings in a busy season can be ignored only in terms of static building areas or population allocation, resulting in distortion of the positioning of the discharge space. Secondly, when the emission is distributed to a micro space unit (such as a geographic grid or a single building), the existing method relies on simple spatial interpolation or average distribution, and a refined distribution model capable of reasonably representing different building functions and spatial bearing differences is lacking, so that the generated grid list space has poor heterogeneity and can not accurately reflect emission hot spots. In addition, the current inventory work has focused on single greenhouse gas (CO 2) accounting independent of emissions inventory of atmospheric pollutants (e.g., SO2, NOx, PM 2.5). This "carbon pollution control" model makes it difficult to evaluate the synergistic benefits of an energy saving or energy replacement measure for improving local air quality while reducing carbon emissions. Therefore, how to develop a list construction method which can not only overcome the data bottleneck, but also finely reflect the space-time distribution rule of the carbon emission of the building and provide support for cooperative treatment in the areas with weak basic activity level data and special clean energy structures (such as the Tibet mainly based on hydropower), and the method becomes a technical problem to be solved in the current environmental management and urban sustainable development fields. Disclosure of Invention In order to solve the technical problems in the background, the invention provides the following technical scheme: a building carbon emission spatialization list construction method based on behavior and load coupling comprises the following steps: S1, acquiring macroscopic total amount data of building operation carbon emission of a target area, a building basic geographic information database containing all single building geographic space outlines and functional attribute codes, and resident space-time behavior characteristic data; s2, calculating preliminary carbon emission allocation amounts of various buildings according to the resident space-time behavior characteristic data; S3, calculating the refined carbon emission of each monomer building according to the preliminary carbon emission allocation amount; S4, generating a building carbon emission grid space distribution list covering the whole target area according to the refined carbon emission of all the monomer buildings. Preferably, the S2 includes: According to the time-space behavior characteristic data of residents, extracting the daily effectiv