Method and apparatus for determining a carbon reduction profile of a building

Abstract

The application discloses a kind of carbon emission reduction portrait determination method and device for building, it is related to building energy saving and emission reduction technical field.The method comprises: obtaining the target data of target building in historical time period;According to the target data of target building, the maximum installed capacity of target building, energy-saving energy of energy consumption system, renewable energy supply energy;According to the maximum installed capacity of target building, energy-saving energy of energy consumption system, renewable energy supply energy, determine the carbon emission reduction proportion value of target building;According to carbon emission reduction proportion value, determine the carbon emission reduction portrait of target building, wherein, carbon emission reduction portrait is used to represent at least one implementation mode to achieve carbon emission reduction proportion value.The present application solves the technical problem that the existing technology only analyzes carbon dioxide emission reduction of building from single emission reduction means, leading to poor carbon dioxide emission reduction effect for building.

Description

Technical Field

[0001] This application relates to the field of building energy conservation and emission reduction technology, and more specifically, to a method and apparatus for determining the carbon emission reduction profile of a building. Background Technology

[0002] As global climate change becomes increasingly severe, the construction industry, as a major energy consumer, plays a crucial role in reducing carbon dioxide emissions. Carbon dioxide emission reduction in the construction industry is achieved through multiple dimensions, including optimized building design, renewable energy utilization, and intelligent scheduling and management. The implementation of these measures typically requires comprehensive consideration of factors such as building type, geographical location, and climate conditions to ensure their effectiveness and economic viability.

[0003] Currently, carbon emission reduction research in the construction industry mainly focuses on carbon emission assessment throughout the building life cycle, the development of energy-saving technologies and materials, and research on policies and regulations. Most studies conduct in-depth analysis from the perspective of a specific emission reduction method. However, the different characteristics of buildings result in significant differences in their energy consumption characteristics. Therefore, using emission reduction methods with different focuses will achieve different emission reduction effects due to the different characteristics of the buildings themselves, leading to the technical problem of poor carbon emission reduction effect of buildings.

[0004] There is currently no effective solution to the above problems. Summary of the Invention

[0005] This application provides a method and apparatus for determining the carbon emission reduction profile of a building, so as to at least solve the technical problem that the existing technology only analyzes the carbon dioxide emission reduction of buildings from a single emission reduction means, resulting in poor carbon dioxide emission reduction effect of buildings.

[0006] According to one aspect of this application, a method for determining a carbon emission reduction profile for a building is provided, comprising: acquiring target data of a target building over a historical period, wherein the target data includes at least building characteristics, building geographical location, and building energy consumption data; determining the target building's maximum installed capacity, energy savings of the energy consumption system, and renewable energy supply based on the target data, wherein the maximum installed capacity represents the maximum total capacity of the target power generation equipment installed in the target building, the energy savings of the energy consumption system represents the maximum energy savings of the target energy consumption system operating in the target building, the renewable energy supply represents the energy supplied by renewable energy corresponding to the target building, and the target power generation equipment is equipment that generates electricity using renewable energy; determining the carbon emission reduction ratio of the target building based on the target building's maximum installed capacity, energy savings of the energy consumption system, and renewable energy supply, wherein the carbon emission reduction ratio is used to determine the amount of carbon dioxide emission reduction that the target building needs to achieve in the future period; and determining the carbon emission reduction profile of the target building based on the carbon emission reduction ratio, wherein the carbon emission reduction profile is used to represent at least one method of achieving the carbon emission reduction ratio.

[0007] Optionally, after obtaining the target data for the target building, the method for determining the carbon emission reduction data for the building further includes: data cleaning and preprocessing of the target data, wherein data cleaning is used to remove outliers in the target data, and preprocessing is used to normalize the target data and unify the measurement units of the target data.

[0008] Optionally, the maximum installed capacity, energy savings of the energy consumption system, and renewable energy supply of the target building are determined based on the target building's target data, including: determining the maximum installed capacity of the target building based on the total periodic power generation of the target building's power generation system, wherein the power generation system is a system that generates electricity through renewable energy; determining the energy savings of the target building's energy consumption system based on the energy consumption data of the target energy consumption system and the target data; obtaining the power generation generated by the target building using renewable energy during the historical time period; obtaining the electricity consumption of the target building during the historical time period; and determining the renewable energy supply of the target building based on the difference between power generation and electricity consumption.

[0009] Optionally, the carbon emission reduction ratio of the target building is determined based on its maximum installed capacity, energy savings of the energy consumption system, and renewable energy supply. This includes: determining a first carbon emission reduction efficiency value for the target building based on its maximum installed capacity, wherein the first carbon emission reduction efficiency value characterizes the efficiency of the target building in reducing carbon dioxide emissions at its maximum installed capacity; determining a second carbon emission reduction efficiency value for the target building based on its energy savings of the energy consumption system, wherein the second carbon emission reduction efficiency value characterizes the efficiency of the target building in reducing carbon dioxide emissions at its energy savings of the energy consumption system; determining a third carbon emission reduction efficiency value for the target building based on its renewable energy supply, wherein the third carbon emission reduction efficiency value characterizes the efficiency of the target building in reducing carbon dioxide emissions at its renewable energy supply; and determining the carbon emission reduction ratio of the target building based on the first, second, and third carbon emission reduction efficiency values.

[0010] Optionally, the first carbon emission reduction efficiency value of the target building is determined based on the maximum installed capacity of the target building, including: determining the first carbon emission reduction efficiency value based on the power generation generated by the target building using renewable energy during a historical period and the maximum installed capacity.

[0011] Optionally, the second carbon emission reduction efficiency value of the target building is determined based on the energy saving of the target building's energy consumption system, including: obtaining the total power consumption of the target building's M energy consumption systems, where M is an integer greater than 1; and determining the second carbon emission reduction efficiency value based on the target building's actual daily average power consumption and the total power consumption, where the actual daily average power consumption represents the total amount of electricity actually used by the target building in a day.

[0012] Optionally, the third carbon emission reduction efficiency value of the target building is determined based on the renewable energy supply of the target building, including: determining the third carbon emission reduction efficiency value based on the total electricity consumption of the target building at the target time and the renewable energy supply of the target building.

[0013] Optionally, the carbon emission reduction ratio of the target building is determined based on the first carbon emission reduction efficiency value, the second carbon emission reduction efficiency value, and the third carbon emission reduction efficiency value, including: obtaining the objective function and constraints, wherein the objective function is used to determine the maximum optimized efficiency of carbon emission reduction for the target building, and the constraints are used to ensure that the optimized efficiency value of the target building satisfies the objective function; determining the weights corresponding to the first carbon emission reduction efficiency value, the second carbon emission reduction efficiency value, and the third carbon emission reduction efficiency value based on the objective function and the constraints; and determining the carbon emission reduction ratio of the target building based on the first carbon emission reduction efficiency value, the second carbon emission reduction efficiency value, the third carbon emission reduction efficiency value, and the weights corresponding to the three.

[0014] Optionally, the carbon emission reduction profile of the target building is determined based on the carbon emission reduction ratio. The carbon emission reduction profile further includes: obtaining a first preset threshold and a second preset threshold, wherein the first preset threshold and the second preset threshold are different thresholds preset according to the degree of carbon emission reduction optimization of the target building; obtaining preset benchmark thresholds corresponding to the maximum installed capacity, energy saving of the energy consumption system, and energy supply from renewable energy sources; and determining the carbon emission reduction profile of the target building based on the carbon emission reduction ratio, the first preset threshold, the second preset threshold, and the preset benchmark threshold.

[0015] According to another aspect of this application, a carbon emission reduction profile determination device for a building is also provided, comprising: a first acquisition unit for acquiring target data of a target building over a historical period, wherein the target data includes at least building characteristics, building geographical location, and building energy consumption data; a first determination unit for determining the target building's maximum installed capacity, energy consumption system energy saving, and renewable energy supply based on the target data, wherein the maximum installed capacity represents the maximum total capacity of the target power generation equipment installed in the target building, the energy consumption system energy saving represents the maximum energy saving of the target energy consumption system operating in the target building, the renewable energy supply represents the energy supplied by renewable energy corresponding to the target building, and the target power generation equipment is equipment that generates electricity using renewable energy; a second determination unit for determining the carbon emission reduction ratio of the target building based on the target building's maximum installed capacity, energy consumption system energy saving, and renewable energy supply, wherein the carbon emission reduction ratio is used to determine the amount of carbon dioxide emission reduction that the target building needs to achieve in the future period; and a third determination unit for determining the carbon emission reduction profile of the target building based on the carbon emission reduction ratio, wherein the carbon emission reduction profile is used to represent at least one method of achieving the carbon emission reduction ratio.

[0016] As described above, this application analyzes the target building based on relevant data across three dimensions: maximum installed capacity, energy savings of the energy consumption system, and renewable energy supply. This analysis yields the target building's total emission reduction optimization ratio (corresponding to the aforementioned carbon emission reduction ratio value). Based on this ratio, relevant personnel can determine the optimization type of the target building. Finally, targeted carbon emission reduction optimization is performed based on the target building's optimization type. Compared to existing technologies that analyze carbon emission reduction from only one aspect, this application combines multiple dimensions for analysis and determines the optimal carbon emission reduction method for the building based on the analysis results. This achieves a technical effect of improving carbon emission reduction efficiency and solves the technical problem of poor carbon dioxide emission reduction performance in existing technologies that analyze carbon dioxide emission reduction from only a single means. Attached Figure Description

[0017] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments of this application and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0018] Figure 1 This is a flowchart of an optional method for determining a carbon reduction profile of a building according to an embodiment of this application;

[0019] Figure 2 This is a flowchart of an optional method for determining a carbon reduction profile of a building according to an embodiment of this application;

[0020] Figure 3 This is a schematic diagram illustrating the emission reduction potential of an optional building in various dimensions according to an embodiment of this application;

[0021] Figure 4 This is a schematic diagram of an optional building carbon imaging system according to an embodiment of this application;

[0022] Figure 5 This is a schematic diagram of an optional carbon reduction profile determination device for a building according to an embodiment of this application. Detailed Implementation

[0023] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.

[0024] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0025] It should also be noted that the information and data collected in this application are authorized by the user or fully authorized by all parties. Furthermore, the collection, storage, use, processing, transmission, provision, disclosure, and application of this data all comply with the relevant laws, regulations, and standards of the relevant regions, and necessary confidentiality measures have been taken. This does not violate public order and good morals, and corresponding access points are provided for users to choose to authorize or refuse. For example, this system has interfaces with relevant users or organizations. Before obtaining relevant information, a request to obtain the information needs to be sent to the aforementioned user or organization through the interface, and the relevant information is obtained only after receiving consent from the aforementioned user or organization.

[0026] According to an embodiment of this application, an embodiment of a method for determining a carbon emission reduction profile for a building is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0027] It should be noted that an intelligent building emission reduction system can serve as the executing entity for the carbon emission reduction profile determination method for buildings in this application embodiment. It is understood that the carbon emission reduction profile determination method for buildings provided in this application embodiment can also be executed by other systems or devices, and this application embodiment does not specifically limit this.

[0028] Figure 1 This is a flowchart of an optional method for determining a carbon reduction profile of a building according to an embodiment of this application, such as... Figure 1 As shown, the method includes the following steps:

[0029] Step S101: Obtain target data of the target building in the historical time period.

[0030] In step S101, the target data includes at least building characteristics, building geographical location, and building energy consumption data.

[0031] Optionally, the target data may also include local sunshine duration, climate type, wind resources, indoor and outdoor temperatures at different times, etc.

[0032] Optionally, building features include, but are not limited to, the building’s floor plan and structure, internal volume, thermal conductivity of the building materials used, shape and area of ​​the roof, wall area and orientation, available ground space, and surrounding obstructions.

[0033] Optionally, building energy consumption data includes, but is not limited to, the building's operating data in the most recent study period, such as the building's annual electricity consumption and the proportion of total energy consumption of major systems.

[0034] Step S102: Determine the maximum installed capacity, energy saving of the energy consumption system, and energy supply of renewable energy for the target building based on the target data of the target building.

[0035] In step S102, the maximum installed capacity represents the maximum total capacity of the target power generation equipment installed in the target building, the energy saving of the energy consumption system represents the maximum energy saving of the target energy consumption system operating in the target building, the renewable energy supply represents the energy supplied by renewable energy corresponding to the target building, and the target power generation equipment is the equipment that generates electricity using renewable energy.

[0036] Optionally, the intelligent building emission reduction system can optimize carbon emission reduction for the target building based on three dimensions: the target building's maximum installed capacity, energy savings of the energy consumption system, and energy supply from renewable energy sources.

[0037] Step S103: Determine the carbon emission reduction ratio of the target building based on its maximum installed capacity, energy savings of the energy consumption system, and energy supply from renewable energy sources.

[0038] In step S103, the carbon emission reduction ratio is used to determine the amount of carbon dioxide emission reduction that the target building needs to achieve in the future.

[0039] Optionally, the intelligent building emission reduction system can use the DEA-BCC model to calculate the emission reduction potential of multiple typical buildings in the region across three dimensions: maximum installed capacity, energy savings of energy consumption systems, and energy supply from renewable energy sources. Finally, the carbon emission reduction ratio of the target building is obtained. The DEA-BCC model is a non-parametric efficiency assessment method designed to evaluate the relative efficiency of a decision-making unit across multiple inputs and outputs. The core idea of ​​the DEA model is to identify relatively efficient units by comparing the relationship between inputs and outputs of decision-making units without pre-determined weights. Compared to the traditional DEA-CCR model, the BCC model considers changes in returns to scale, allowing different evaluation decision-making units to have different scale efficiencies.

[0040] Step S104: Determine the carbon emission reduction profile of the target building based on the carbon emission reduction ratio.

[0041] In step S104, the carbon emission reduction profile is used to characterize at least one way of achieving the carbon emission reduction ratio.

[0042] Optionally, the carbon reduction profile includes a carbon profile labeling system for the target building. Based on the carbon reduction ratio, it can be determined which carbon profile reduction label the target building belongs to. Based on the reduction label, targeted improvements can be made to the target building to reduce its carbon emissions.

[0043] Optionally, Figure 2This is a flowchart of an optional method for determining a carbon reduction profile of a building according to an embodiment of this application, such as... Figure 2 As shown, firstly, specific building parameters, i.e., historical energy consumption data, are collected. Secondly, the theoretical emission reduction values ​​of the building in three dimensions are calculated: maximum installed capacity (A), energy saving of the energy consumption system (B), and energy supply from renewable energy sources (C). Then, the DEA-BCC model is used to construct the frontier surface. The frontier surface refers to the calculation of the emission reduction potential values ​​of multiple typical buildings in this region in these three dimensions. Then, the optimal emission reduction potential value in each dimension is selected (the best of each is combined to form an ideal "frontier surface" that can be achieved). Then, the relative emission reduction potential value of the building in the three dimensions is obtained by combining the frontier surface (the carbon emission reduction ratio value mentioned above). Finally, a label type system is constructed based on the relative emission reduction potential value to obtain the carbon emission reduction profile of this building.

[0044] As can be seen from steps S101 to S104, in this application, firstly, target data of the target building in a historical time period is obtained. The target data includes at least building characteristics, building geographical location, and building energy consumption data. Secondly, based on the target data of the target building, the maximum installed capacity, energy saving of the energy consumption system, and renewable energy supply of the target building are determined. The maximum installed capacity represents the maximum total capacity of the target power generation equipment installed in the target building. The energy saving of the energy consumption system represents the maximum energy saving of the target energy consumption system operating in the target building. The renewable energy supply represents the energy supplied by renewable energy corresponding to the target building. The target power generation equipment is the equipment that generates electricity using renewable energy. Then, based on the maximum installed capacity, energy saving of the energy consumption system, and renewable energy supply of the target building, the carbon emission reduction ratio of the target building is determined. The carbon emission reduction ratio is used to determine the amount of carbon dioxide emission reduction that the target building needs to achieve in the future time period. Finally, based on the carbon emission reduction ratio, the carbon emission reduction profile of the target building is determined. The carbon emission reduction profile is used to represent at least one way to achieve the carbon emission reduction ratio.

[0045] As described above, this application analyzes the target building based on relevant data across three dimensions: maximum installed capacity, energy savings of the energy consumption system, and renewable energy supply. This analysis yields the target building's total emission reduction optimization ratio (corresponding to the aforementioned carbon emission reduction ratio value). Based on this ratio, relevant personnel can determine the optimization type of the target building. Finally, targeted carbon emission reduction optimization is performed based on the target building's optimization type. Compared to existing technologies that analyze carbon emission reduction from only one aspect, this application combines multiple dimensions for analysis and determines the optimal carbon emission reduction method for the building based on the analysis results. This achieves a technical effect of improving carbon emission reduction efficiency and solves the technical problem of poor carbon dioxide emission reduction performance in existing technologies that analyze carbon dioxide emission reduction from only a single means.

[0046] In one optional embodiment, the intelligent building emission reduction system performs data cleaning and preprocessing on the target data. Data cleaning is used to remove outliers in the target data, and preprocessing is used to normalize the target data and unify the measurement units of the target data.

[0047] Optionally, the intelligent building emission reduction system will check for outliers and missing values ​​in the target data, and perform uniform measurement and normalization processing on the target data.

[0048] As can be seen from the above, through data cleaning and preprocessing, the intelligent building emission reduction system can ensure that the data obtained from various data sources is accurate, reliable and suitable for further analysis and utilization. This step provides the system with a clear data foundation, enabling it to more effectively analyze the carbon emission reduction of buildings.

[0049] In one optional embodiment, the intelligent building emission reduction system determines the maximum installed capacity of the target building based on the total periodic power generation of the target building's power generation system, wherein the power generation system is a system that generates electricity through renewable energy. The system determines the energy saving of the target building's energy consumption system based on the energy consumption data of the target energy-consuming system and the target data. Then, it obtains the power generation generated by the target building using renewable energy during the historical time period, obtains the electricity consumption of the target building during the historical time period, and finally determines the renewable energy supply of the target building based on the difference between the power generation and the electricity consumption.

[0050] Optionally, the theoretical optimal values ​​for emission reduction in three dimensions—maximum installed capacity, energy savings in energy consumption systems, and energy supply from renewable energy sources—can be calculated.

[0051] Optionally, the power generation system may include, but is not limited to, photovoltaic systems, wind power systems, hydropower systems, and solar-powered domestic hot water systems.

[0052] Optionally, the maximum installed capacity can be calculated as shown in formula (1):

[0053] E re =E pv +E wind +E other (1)

[0054] Among them, E re E represents the theoretical annual power generation of the entire renewable energy system in the building. pv E represents the annual power generation of the photovoltaic system. wind E represents the annual power generation of the building's integrated wind power system (if applicable). other The building may also generate electricity or save electricity through other renewable energy sources, taking into account its own characteristics, such as solar-powered domestic hot water systems, biomass internal combustion engines, and hydroelectric power generation equipment.

[0055] Optionally, the annual power generation of the photovoltaic system is calculated as shown in formula (2):

[0056]

[0057] In the formula, S area The equivalent solar irradiance area (m²) of the photovoltaic system, γ pr The performance ratio of a photovoltaic system is used to adjust for losses and shading from surrounding elements. It can be derived based on actual conditions. η represents the power generation efficiency of the photovoltaic system, and H... i G represents the daily sunlight duration of the building. i The average daily solar radiation intensity (KW / ㎡·h).

[0058] Optionally, the equivalent solar irradiance S of the photovoltaic system area The calculation method is shown in formula (3):

[0059] A=θ1×A roof +θ2×A wall (3)

[0060] In the formula, θ1 and θ2 are the influence coefficients of the orientation angle of the building's roof and wall-mounted photovoltaic panels, respectively, and A roof A wall This refers to the total area of ​​the building's roof and walls.

[0061] Optionally, the annual power generation of the integrated wind power generation system is calculated as shown in formula (4):

[0062]

[0063] In the formula, ρ is the air density (kg / m³). 3 V iTo integrate the average available wind speed (m / s) per hour for wind power generation systems, where i is the number of hours in a year (365 days × 24 hours equals 8760 hours), A w C represents the swept area (m²). p To integrate the power coefficient of the wind power generation system (which can be determined based on actual conditions, usually between 0 and 1, calculated from the tip speed ratio and blade pitch angle, or simply estimated based on the unit height), K wt This refers to the unit's conversion efficiency.

[0064] Optionally, E other Then, by analyzing the geographical location of the building under study, the available natural resources around it, and its own production characteristics, other renewable and clean energy sources can be fully explored and utilized, such as small-scale hydropower equipment and biomass energy.

[0065] Optionally, the energy consumption of each system in the collected data can be analyzed to identify the systems with higher energy consumption as key systems to be optimized. Generally, the main energy-consuming systems during the building operation phase include heating systems, cooling systems, lighting systems, monitoring systems, various electrical appliances, and, for rural residential buildings, cooking and hot water systems. Among these, heating and cooling systems are among the key energy-consuming systems. Energy consumption of the entire building can be reduced and carbon emissions reduced by using ground source heat pump systems, optimizing building design, optimizing building materials, and improving the coefficient of performance of air conditioning systems. For example, assuming the comfortable temperature inside the building is 18-26 degrees Celsius, the air conditioning system is needed to adjust the temperature when it is unsuitable. Specifically, the energy consumption of the air conditioning system can be calculated using formula (5):

[0066]

[0067] Among them, C tem The annual cumulative power consumption of the air conditioning system is given by S, where ΔT is the difference between the ambient temperature and the ideal temperature. v The volume of the enclosed space (m 3 ), K p The adjustment coefficient, used to correct for changes in heat caused by factors such as personnel flow, capacity, and activity patterns within the building, can be determined based on actual conditions and expert opinions. φ represents the coefficient of performance (COP for heating, EER for cooling), and L... q This refers to the heat loss of a building. The heat loss of a building, L... q The calculation method is shown in formula (6):

[0068]

[0069] In the formula, U i Let A be the thermal conductivity (W / m²·K) of the material of the i-th surface inside the building.i H represents the area of ​​the material of the i-th surface inside the building. i ΔT2 represents the thickness of the material on the i-th surface inside the building; ΔT2 represents the temperature difference between the interior and exterior; and n represents the total number of different materials used to connect the entire single space to the outside, such as the roof, walls, floor, and glass.

[0070] Optionally, based on the above calculations, energy consumption of the air conditioning system in a building can be reduced by improving system performance efficiency (replacing equipment, adding intelligent control, or strengthening maintenance), optimizing building design (such as increasing thermal insulation performance, using double-glazed windows, etc.), and utilizing natural energy sources (such as ground source heat pump technology, natural cold source utilization, energy recovery and utilization, etc.). By comparing and benchmarking against the highest standards of green buildings and related equipment in the current market, the maximum emission reduction potential of the building's air conditioning system can be determined, and then a specific emission reduction plan can be selected through cost-benefit analysis.

[0071] Optionally, by analyzing the deviations between the power generation curves and power consumption curves of renewable resources at different times within a selected minimum study period (determined by the level of detail in actual research), a suitable energy storage capacity configuration can be calculated using existing research methods. Alternatively, renewable energy supply can be maximized through measures such as identifying flexible loads within the building and demand response scheduling.

[0072] As can be seen from the above, summarizing and categorizing current building carbon reduction methods according to three dimensions—maximum installed capacity, energy savings of energy consumption systems, and energy supply from renewable energy sources—facilitates a clear and comprehensive characterization of building carbon emission characteristics and further analysis. Combining these steps, intelligent building emission reduction systems, through data analysis, help building professionals understand and optimize the energy use of target buildings, promoting the development of buildings towards more sustainable and efficient energy utilization. This helps reduce building carbon emissions, lowers energy costs, and improves energy security.

[0073] In one optional embodiment, the intelligent building emission reduction system determines a first carbon emission reduction efficiency value for the target building based on its maximum installed capacity, wherein the first carbon emission reduction efficiency value characterizes the efficiency of the target building in reducing carbon dioxide emissions at its maximum installed capacity. It then determines a second carbon emission reduction efficiency value based on the energy savings of the target building's energy consumption system, wherein the second carbon emission reduction efficiency value characterizes the efficiency of the target building in reducing carbon dioxide emissions at its energy consumption system. Finally, it determines the carbon emission reduction ratio of the target building based on the first, second, and third carbon emission reduction efficiency values.

[0074] Optionally, the emission reduction efficiency value is not limited to the efficiency of reducing carbon dioxide emissions and needs to be considered in conjunction with the actual situation.

[0075] Optionally, in the DEA-BCC model, the input indicators for each decision unit (i.e., building) in this embodiment are the building's floor area, the number of people in the building (which can be the average), and the local clean energy power generation per unit area. The output indicators are the emission reduction potential, i.e., carbon emission reduction efficiency values ​​of the above three dimensions, denoted as y. aj y bj y cj .

[0076] Optionally, Figure 3 This is a schematic diagram illustrating the emission reduction potential of an optional building in various dimensions according to an embodiment of this application, such as... Figure 3 As shown, the building's emission reduction potential is calculated in three dimensions. In dimension A, the emission reduction potential is calculated based on the building's own scale characteristics, geographical location characteristics, economic considerations, and relevant policy regulations. Cost-benefit calculations, considerations of building size, renewable energy generation capacity, and limitations on installed and grid-connected capacity can also be combined to optimize the building's CO2 emission reduction. In dimension B, the emission reduction potential is calculated based on the building's design and major energy-consuming systems. CO2 emission reduction optimization can be achieved by improving the building envelope, using geothermal energy for heating or cooling, improving the performance efficiency of energy-consuming systems, and mobilizing human initiative. In dimension C, emission reduction potential is calculated through analysis of power generation and consumption deviations at different times, analysis of flexible load demand response potential, and analysis of optimized energy storage configuration. Cost-benefit calculations, the functional efficiency of renewable energy, optimized scheduling, and the configuration of energy storage devices can also be combined to optimize the building's CO2 emission reduction.

[0077] As can be seen from the above, this application conducts a comprehensive energy consumption characteristic analysis of a specific building from multiple dimensions, assesses its energy-saving and emission-reduction potential in terms of maximum installed capacity, energy saving of energy consumption system, and energy supply from renewable energy sources, and thus intuitively analyzes and obtains the total relative emission reduction potential of the assessed building, providing an objective and scientific reference for assessing the carbon emission reduction potential of buildings.

[0078] In one alternative embodiment, the intelligent building emission reduction system determines a first carbon emission reduction efficiency value y based on the target building's electricity generation from renewable energy sources over a historical period and its maximum installed capacity. aj .

[0079] Optionally, y aj The calculation method is shown in formula (7):

[0080]

[0081] Among them, the first carbon emission reduction efficiency value y aj E represents the ratio of the actual renewable energy generation of building j to its theoretical installed capacity at maximum capacity. re * This refers to the actual amount of electricity generated from renewable energy sources.

[0082] As can be seen from the above, by calculating the first carbon emission reduction efficiency value, the emission reduction potential value of a building under the dimension of maximum installed capacity can be obtained. Based on the emission reduction potential value, corresponding emission reduction schemes can be adopted to optimize the emission reduction of the building under this dimension. At the same time, it can provide data support and decision-making basis for the formulation and implementation of subsequent carbon emission reduction strategies.

[0083] In one optional embodiment, the intelligent building emission reduction system first obtains the total power consumption of M energy consumption systems of the target building, where M is an integer greater than 1. Then, it determines a second carbon emission reduction efficiency value based on the actual daily average power consumption of the target building and the total power consumption, where the actual daily average power consumption represents the total amount of electricity actually used by the target building in a day.

[0084] Optionally, y bj The calculation method is shown in formula (8):

[0085]

[0086] Among them, the second carbon emission reduction efficiency value y bj C represents the ratio of the average daily total power consumption of building j in terms of energy saving in the energy consumption system to the power consumption that can be saved or replaced theoretically after optimizing each system. total C represents the building's actual average daily total electricity consumption. s，i Therefore, the theoretical power consumption that the i-th energy consumption system in this building can achieve after optimization is given. There are n systems in total, and the calculated C... tem This refers to the energy consumption of the air conditioning system, which can theoretically be completely replaced by geothermal energy, thus equal to the savings achievable after building optimization.

[0087] As can be seen from the above, the second carbon emission reduction efficiency can be determined based on the actual daily average power consumption and total power consumption of the target building. This allows us to obtain the emission reduction potential value of the building in terms of energy saving in the energy consumption system. Based on the emission reduction potential value, emission reduction optimization can be carried out in terms of energy saving in the energy consumption system. At the same time, the intelligent building emission reduction system can assess the energy consumption of the target building based on the second carbon emission reduction efficiency, providing support and guidance for the subsequent formulation and implementation of precise emission reduction strategies.

[0088] In one alternative embodiment, the smart building emission reduction system determines a third carbon emission reduction efficiency value based on the target building's total electricity consumption at a target time and the target building's renewable energy supply.

[0089] Optionally, y cj The calculation method is shown in formula (9):

[0090]

[0091] Among them, the third carbon emission reduction efficiency value y cj E represents the proportion of renewable energy supplied by building j in each time period under the renewable energy supply dimension. other，t * C represents the amount of electricity generated by backup energy sources (such as grid power purchases and traditional energy sources) to supplement the power supply during time period t. ar，t This represents the total electricity consumption of the building during time period t, where t refers to the 96 time periods in a day. Typically, the time periods are divided into 15-minute intervals, resulting in 4 time periods per hour, for a total of 24 × 4 time periods per day, or 96 time periods.

[0092] As can be seen from the above, by calculating the third carbon emission reduction efficiency value, the emission reduction potential value of a building under the renewable energy supply dimension can be obtained. Based on the emission reduction potential value, corresponding emission reduction schemes can be adopted to optimize the building's emission reduction. Furthermore, the intelligent building emission reduction system can assess the building's energy utilization at different times, providing data support and strategic suggestions for achieving sustainable development goals and reducing carbon emissions.

[0093] In one optional embodiment, the intelligent building emission reduction system first obtains an objective function and constraints. The objective function is used to determine the maximum optimized efficiency of carbon emission reduction for the target building, and the constraints are used to ensure that the optimized efficiency value of the target building satisfies the objective function. Then, based on the objective function and constraints, the weights corresponding to the first, second, and third carbon emission reduction efficiency values ​​are determined. Finally, based on the first, second, and third carbon emission reduction efficiency values ​​and their corresponding weights, the carbon emission reduction ratio of the target building is determined.

[0094] Optionally, the objective function obtained is maxθ, where θ is the objective we want to maximize, i.e., the relative optimization efficiency value of this building.

[0095] Alternatively, the constraints are as shown in equations (10)-(12):

[0096]

[0097]

[0098]

[0099] Where, λ j≥0, j=1,2,……,n, n≥3, x i0 and y r0 These are the values ​​of the building to be evaluated for each input and output indicator, where a, b, and c refer to the three dimensions mentioned above, and λ... j It is a linear combination of coefficients that evaluate the overall optimization efficiency of the building based on the potential of each dimension.

[0100] Optionally, the optimal proportions, i.e. weights, in each of the above dimensions can be calculated based on the objective function and constraints.

[0101] As can be seen from the above, by measuring the carbon emission efficiency of each building, and then finding the optimal weight ratio of each output indicator (emission reduction potential value of each dimension) of the building that can achieve the highest output (i.e. the lowest carbon emission) under a given input indicator based on the objective function and constraints, the efficiency of the comprehensive assessment of the carbon emission reduction potential of buildings can be maximized, providing a reliable basis for the subsequent formulation of emission reduction plans and the emphasis on emission reduction in different dimensions.

[0102] In one optional embodiment, the intelligent building emission reduction system obtains a first preset threshold and a second preset threshold, wherein the first preset threshold and the second preset threshold are different thresholds preset according to the degree of carbon emission reduction optimization of the target building, and obtains preset benchmark thresholds corresponding to the maximum installed capacity, energy saving of the energy consumption system, and energy supply of renewable energy, respectively. Then, the carbon emission reduction profile of the target building is determined according to the carbon emission reduction ratio, the first preset threshold, the second preset threshold, and the preset benchmark threshold.

[0103] Optionally, technicians can set a first preset threshold and a second preset threshold according to the actual situation of the target building. Specifically, the two preset thresholds can be set according to the degree of carbon emission reduction optimization that the target building needs to achieve.

[0104] Optionally, the carbon reduction ratio refers to the percentage (degree) of carbon reduction that the target building can achieve to move away from the ideal zero-carbon or the lowest carbon building achievable in the region.

[0105] Optionally, based on the combination of linear coefficients obtained from the above planning model, the comprehensive carbon reduction potential value, i.e., the carbon reduction ratio value P, of the building to be evaluated is calculated. i ,P i The calculation method is shown in formula (13).

[0106]

[0107] Among them, y rj The value of n represents the emission reduction potential of the building to be evaluated in the above three dimensions, where n is greater than or equal to 3.

[0108] Optionally, the specific steps for constructing the carbon emission reduction types in the carbon profile are as follows:

[0109] Step 1: First, determine whether the first preset threshold P is met. Ⅰ If P i ≥P Ⅰ If the result is positive, proceed to step 2; otherwise, proceed to step 3.

[0110] Step 2: Determine if it belongs to the type that does not require further optimization: If y aj ≥y a ′&y bj ≥y b ′&y cj ≥y c If the result is '', it is determined to be an ideal building; otherwise, proceed to step 3.

[0111] Step 3: Next, determine whether the second preset threshold P is met. Ⅱ If P i <P Ⅱ If the result is positive, proceed to step 4; otherwise, proceed to step 5.

[0112] Step 4: Determine if it is a full upgrade: If y aj <y a ′&y bj <y b ′&y cj <y c If the result is '', it is determined to be a fully upgraded building; otherwise, proceed to step 5.

[0113] Step 5: Substitute into the following formula (14) for judgment, y a ′、y b ′ and y c ′ represents the baseline threshold for each dimension, which can be determined by experts based on practical experience:

[0114]

[0115] Among them, the potential types A, B, and C correspond to low installed capacity, high energy consumption, and unbalanced functions, respectively.

[0116] Optionally, Figure 4 This is a schematic diagram of an optional building carbon imaging system according to an embodiment of this application, such as... Figure 4As shown, based on the above steps, the carbon profile is divided into five label types: ideal type, low installed capacity type, high energy consumption type, unbalanced function type, and comprehensive upgrade type. Among them, A, B, and C correspond to the three dimensions of maximum installed capacity, energy saving of energy consumption system, and energy supply from renewable energy sources, respectively. When the relative emission reduction potential in dimension A is the greatest, it indicates that the building is a low-installed-capacity building, meaning that the building can achieve the best emission reduction effect by increasing its installed capacity. When the relative emission reduction potential in dimension B is the greatest, it indicates that the building is a high-energy-consuming building, meaning that the building can achieve the best emission reduction effect by reducing the consumption of its energy system. When the relative emission reduction potential in dimension C is the greatest, it indicates that the building is a functionally unbalanced building, meaning that the building can maximize the supply of renewable energy to achieve the best emission reduction effect by taking measures such as identifying flexible loads and demand response scheduling within the building. When the carbon emission reduction potential values ​​of the building in all three dimensions A, B, and C are lower than the set thresholds, it indicates that the building is a comprehensive upgrade type, meaning that the building needs to be improved in all aspects to achieve the best emission reduction effect. When the carbon emission reduction potential values ​​of the building in all three dimensions A, B, and C are higher than the set thresholds, it indicates that the building is an ideal type, meaning that the building does not need to be modified and has already achieved optimal carbon emission reduction.

[0117] As can be seen from the above, a carbon profile is determined by comparing the carbon emission reduction ratio with the set threshold. Based on the various labels defined in the carbon profile, the carbon emission reduction characteristics of a building can be seen intuitively. Based on the carbon profile label corresponding to the building, emission reduction schemes can be focused on the dimension with the greatest emission reduction potential, thereby achieving better emission reduction results.

[0118] According to an embodiment of this application, an embodiment of a device for determining carbon emission reduction profiles of buildings is also provided. Figure 5 This is a schematic diagram of an optional carbon emission reduction profile determination device for buildings according to an embodiment of this application, such as... Figure 5 As shown, the carbon emission reduction profile determination device for buildings includes: a first acquisition unit 501, a first determination unit 502, a second determination unit 503, and a third determination unit 504.

[0119] Optionally, the first acquisition unit 501 is used to acquire target data of the target building in a historical time period, wherein the target data includes at least building characteristics, building geographical location, and building energy consumption data; the first determination unit 502 is used to determine the maximum installed capacity, energy saving of the energy consumption system, and renewable energy supply of the target building based on the target data of the target building, wherein the maximum installed capacity represents the maximum total capacity of the target power generation equipment installed in the target building, the energy saving of the energy consumption system represents the maximum energy saving of the target energy consumption system operating in the target building, the renewable energy supply represents the energy supplied by renewable energy corresponding to the target building, and the target power generation equipment is equipment that generates electricity using renewable energy; the second determination unit 503 is used to determine the carbon emission reduction ratio of the target building based on the maximum installed capacity, energy saving of the energy consumption system, and renewable energy supply of the target building, wherein the carbon emission reduction ratio is used to determine the amount of carbon dioxide emission reduction that the target building needs to achieve in the future time period; the third determination unit 504 is used to determine the carbon emission reduction profile of the target building based on the carbon emission reduction ratio, wherein the carbon emission reduction profile is used to represent at least one way to achieve the carbon emission reduction ratio.

[0120] Optionally, the first acquisition unit 501 includes: a first processing subunit, used to perform data cleaning and preprocessing on the target data, wherein data cleaning is used to delete outliers in the target data, and preprocessing is used to normalize the target data and unify the measurement units of the target data.

[0121] Optionally, the first determining unit 502 includes: a first determining subunit, a second determining subunit, a first acquiring subunit, a second acquiring subunit, and a third determining subunit. The first determining subunit is used to determine the maximum installed capacity of the target building based on the total periodic power generation of the target building's power generation system, wherein the power generation system is a system that generates electricity using renewable energy. The second determining subunit is used to determine the energy savings of the target building's energy consumption system based on the energy consumption data of the target energy-consuming system and target data. The first acquiring subunit is used to acquire the power generation generated by the target building using renewable energy during a historical time period. The second acquiring subunit is used to acquire the electricity consumption of the target building during a historical time period. The third determining subunit is used to determine the renewable energy supply of the target building based on the difference between power generation and electricity consumption.

[0122] Optionally, the second determining unit 503 includes: a fourth determining subunit, a fifth determining subunit, a sixth determining subunit, and a seventh determining subunit. The fourth determining subunit is used to determine a first carbon emission reduction efficiency value for the target building based on its maximum installed capacity, wherein the first carbon emission reduction efficiency value characterizes the efficiency of the target building in reducing carbon dioxide emissions at its maximum installed capacity. The fifth determining subunit is used to determine a second carbon emission reduction efficiency value for the target building based on the energy savings of its energy consumption system, wherein the second carbon emission reduction efficiency value characterizes the efficiency of the target building in reducing carbon dioxide emissions at its energy consumption system. The sixth determining subunit is used to determine a third carbon emission reduction efficiency value for the target building based on its renewable energy supply, wherein the third carbon emission reduction efficiency value characterizes the efficiency of the target building in reducing carbon dioxide emissions at its renewable energy supply. The seventh determining subunit is used to determine the carbon emission reduction ratio of the target building based on the first, second, and third carbon emission reduction efficiency values.

[0123] Optionally, the fourth determining subunit includes: a first determining module, used to determine a first carbon emission reduction efficiency value based on the power generation and maximum installed capacity of the target building using renewable energy during a historical period.

[0124] Optionally, the fifth determining subunit includes: a first acquisition module and a second determining module. The first acquisition module is used to acquire the total power consumption of M energy systems of the target building, where M is an integer greater than 1. The second determining module is used to determine a second carbon emission reduction efficiency value based on the actual daily average power consumption of the target building and the total power consumption, where the actual daily average power consumption represents the total electricity actually used by the target building in a day.

[0125] Optionally, the sixth determining subunit includes: a third determining module, used to determine a third carbon emission reduction efficiency value based on the total electricity consumption of the target building at the target time and the renewable energy supply of the target building.

[0126] Optionally, the seventh determining subunit includes: a second acquisition module, a fourth determining module, and a fifth determining module. The second acquisition module is used to acquire the objective function and constraints, wherein the objective function is used to determine the maximum optimized carbon reduction efficiency of the target building, and the constraints are used to ensure that the optimized efficiency value of the target building satisfies the objective function; the fourth determining module is used to determine the weights corresponding to the first, second, and third carbon reduction efficiency values ​​based on the objective function and constraints; the fifth determining module is used to determine the carbon reduction ratio of the target building based on the first, second, and third carbon reduction efficiency values ​​and their corresponding weights.

[0127] Optionally, the second determining unit 503 includes: a third acquiring subunit, a fourth acquiring subunit, and an eighth determining subunit. The third acquiring subunit is used to acquire a first preset threshold and a second preset threshold, wherein the first preset threshold and the second preset threshold are different thresholds preset based on the carbon emission reduction optimization degree of the target building; the fourth acquiring subunit is used to acquire preset benchmark thresholds corresponding to the maximum installed capacity, energy saving of the energy consumption system, and energy supply from renewable energy sources; the eighth determining subunit is used to determine the carbon emission reduction profile of the target building based on the carbon emission reduction ratio, the first preset threshold, the second preset threshold, and the preset benchmark threshold.

[0128] The sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0129] In the above embodiments of this application, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0130] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For instance, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling, direct coupling, or communication connection may be through some interfaces; the indirect coupling or communication connection between units or modules may be electrical or other forms.

[0131] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0132] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0133] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, read-only memory (ROM), random access memory (RAM), portable hard drive, magnetic disk, or optical disk.

[0134] The above description is only a preferred embodiment of this application. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of this application, and these improvements and modifications should also be considered within the scope of protection of this application.

Claims

1. A method for determining a carbon emission reduction profile for buildings, characterized in that, include: Obtain target data of the target building over a historical period, wherein the target data includes at least building characteristics, building geographical location, and building energy consumption data; Based on the target data of the target building, determine the maximum installed capacity, energy saving of the energy consumption system, and renewable energy supply of the target building. The maximum installed capacity represents the maximum total capacity of the target power generation equipment installed in the target building. The energy saving of the energy consumption system represents the maximum energy saving of the target energy consumption system operating in the target building. The renewable energy supply represents the energy supplied by renewable energy corresponding to the target building. The target power generation equipment is the equipment that generates electricity using the renewable energy. Based on the target building's maximum installed capacity, energy savings of the energy consumption system, and energy supply from renewable energy sources, the carbon emission reduction ratio of the target building is determined, wherein the carbon emission reduction ratio is used to determine the amount of carbon dioxide emission reduction that the target building needs to achieve in the future time period; A carbon reduction profile of the target building is determined based on the carbon reduction ratio, wherein the carbon reduction profile is used to characterize at least one way of achieving the carbon reduction ratio; The determination of the carbon emission reduction ratio of the target building based on its maximum installed capacity, energy savings of the energy consumption system, and renewable energy supply includes: determining a first carbon emission reduction efficiency value for the target building based on its maximum installed capacity, wherein the first carbon emission reduction efficiency value characterizes the efficiency of the target building in reducing carbon dioxide emissions at the maximum installed capacity; determining a second carbon emission reduction efficiency value for the target building based on its energy consumption system energy savings, wherein the second carbon emission reduction efficiency value characterizes the efficiency of the target building in reducing carbon dioxide emissions at the energy consumption system energy savings; and determining a third carbon emission reduction efficiency value for the target building based on its renewable energy supply, wherein the third carbon emission reduction efficiency value characterizes the efficiency of the target building in reducing carbon dioxide emissions at the maximum installed capacity; and determining a third carbon emission reduction efficiency value for the target building based on its renewable energy supply. The efficiency of carbon dioxide emission reduction under the renewable energy supply dimension; determining the carbon emission reduction ratio of the target building based on the first carbon emission reduction efficiency value, the second carbon emission reduction efficiency value, and the third carbon emission reduction efficiency value, including: obtaining an objective function and constraints, wherein the objective function is used to determine the maximum optimized efficiency of carbon emission reduction of the target building, and the constraints are used to ensure that the optimized efficiency value of the target building satisfies the objective function; determining the weights corresponding to the first carbon emission reduction efficiency value, the second carbon emission reduction efficiency value, and the third carbon emission reduction efficiency value according to the objective function and the constraints; and determining the carbon emission reduction ratio of the target building based on the first carbon emission reduction efficiency value, the second carbon emission reduction efficiency value, the third carbon emission reduction efficiency value, and the weights corresponding to the three.

2. The method for determining the carbon emission reduction profile of a building according to claim 1, characterized in that, After obtaining the target data for the target building, the method for determining the carbon emission reduction profile of the building further includes: The target data is cleaned and preprocessed, wherein the data cleaning is used to remove outliers in the target data, and the preprocessing is used to normalize the target data and unify the measurement units of the target data.

3. The method for determining the carbon emission reduction profile of a building according to claim 1, characterized in that, Based on the target data of the target building, determine the maximum installed capacity, energy savings of the energy consumption system, and energy supply from renewable energy sources for the target building, including: The maximum installed capacity of the target building is determined based on the total periodic power generation of the power generation system of the target building, wherein the power generation system is a system that generates electricity using the renewable energy source; The energy savings of the target building's energy consumption system are determined based on the energy consumption data of the target energy consumption system and the target data. Obtain the amount of electricity generated by the target building using the renewable energy source during the historical time period; Obtain the electricity consumption of the target building during the historical time period; The renewable energy supply for the target building is determined based on the difference between the electricity generated and the electricity consumed.

4. The method for determining the carbon emission reduction profile of a building according to claim 1, characterized in that, Determining the first carbon emission reduction efficiency value of the target building based on its maximum installed capacity includes: The first carbon emission reduction efficiency value is determined based on the electricity generated by the target building using the renewable energy source during the historical period and the maximum installed capacity.

5. The method for determining the carbon emission reduction profile of a building according to claim 1, characterized in that, The second carbon emission reduction efficiency value of the target building is determined based on the energy savings of its energy consumption system, including: Obtain the total power consumption of the M energy systems of the target building, where M is an integer greater than 1; The second carbon emission reduction efficiency value is determined based on the sum of the actual daily average power consumption of the target building and the total power consumption, wherein the actual daily average power consumption represents the total amount of electricity actually used by the target building in a day.

6. The method for determining the carbon emission reduction profile of a building according to claim 1, characterized in that, The third carbon emission reduction efficiency value of the target building is determined based on its renewable energy supply, including: The third carbon emission reduction efficiency value is determined based on the total electricity consumption of the target building at the target time and the renewable energy supply of the target building.

7. The method for determining the carbon emission reduction profile of a building according to claim 1, characterized in that, The carbon emission reduction profile of the target building is determined based on the carbon emission reduction ratio value. The carbon emission reduction profile also includes: Obtain a first preset threshold and a second preset threshold, wherein the first preset threshold and the second preset threshold are different thresholds preset according to the degree of carbon emission reduction optimization of the target building; Obtain the preset benchmark thresholds corresponding to the maximum installed capacity, energy saving of the energy consumption system, and energy supplied by renewable energy, respectively; The carbon emission reduction profile of the target building is determined based on the carbon emission reduction ratio, the first preset threshold, the second preset threshold, and the preset benchmark threshold.

8. A device for determining the carbon emission reduction profile of a building, characterized in that, include: The first acquisition unit acquires target data of the target building, wherein the target data includes at least building characteristics, building geographical location, and building energy consumption data; The first determining unit determines the maximum installed capacity, energy saving of the energy consumption system, and renewable energy supply of the target building based on the target data of the target building. The maximum installed capacity represents the maximum total capacity of the target power generation equipment installed in the target building. The energy saving of the energy consumption system represents the maximum energy saving of the target energy consumption system operating in the target building. The renewable energy supply represents the energy supplied by renewable energy corresponding to the target building. The target power generation equipment is equipment that generates electricity using the renewable energy. The second determining unit determines the carbon emission reduction ratio of the target building based on the target building's maximum installed capacity, energy saving of the energy consumption system, and energy supply from renewable energy sources. The carbon emission reduction ratio is used to determine the amount of carbon dioxide emission reduction that the target building needs to achieve in the future. The third determining unit determines the carbon emission reduction profile of the target building based on the carbon emission reduction ratio value, wherein the carbon emission reduction profile is used to characterize at least one way of achieving the carbon emission reduction ratio value. The second determining unit includes: a fourth determining subunit, configured to determine a first carbon emission reduction efficiency value of the target building based on its maximum installed capacity, wherein the first carbon emission reduction efficiency value characterizes the efficiency of the target building in reducing carbon dioxide emissions under the maximum installed capacity dimension; a fifth determining subunit, configured to determine a second carbon emission reduction efficiency value of the target building based on the energy saving of the target building's energy consumption system, wherein the second carbon emission reduction efficiency value characterizes the efficiency of the target building in reducing carbon dioxide emissions under the energy saving of the energy consumption system dimension; a sixth determining subunit, configured to determine a third carbon emission reduction efficiency value of the target building based on the renewable energy supply of the target building, wherein the third carbon emission reduction efficiency value characterizes the efficiency of the target building in reducing carbon dioxide emissions under the renewable energy supply dimension; and a seventh determining subunit, configured to determine a carbon emission reduction ratio value of the target building based on the first carbon emission reduction efficiency value, the second carbon emission reduction efficiency value, and the third carbon emission reduction efficiency value. The seventh determining subunit includes: a second acquisition module, used to acquire an objective function and constraints, wherein the objective function is used to determine the maximum optimized carbon emission reduction efficiency of the target building, and the constraints are used to ensure that the optimized efficiency value of the target building satisfies the objective function; a fourth determining module, used to determine the weights corresponding to the first carbon emission reduction efficiency value, the second carbon emission reduction efficiency value, and the third carbon emission reduction efficiency value according to the objective function and the constraints; and a fifth determining module, used to determine the carbon emission reduction ratio of the target building according to the first carbon emission reduction efficiency value, the second carbon emission reduction efficiency value, the third carbon emission reduction efficiency value, and the weights corresponding to the three.

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