Building energy consumption and carbon emission dual control system based on BIM

Abstract

The invention relates to the technical field of building control, in particular to a BIM-based building energy consumption and carbon emission dual control system, which comprises a building element carbon emission analysis module, a building operation strategy optimization module, a building environment adjustment response module and a building performance continuous monitoring module. According to the invention, through real-time tracking and dynamic management, structural information of a building is deeply analyzed by using a BIM technology, design and material use are accurately evaluated, energy consumption and carbon emission prediction are optimized, an internal equipment operation strategy is dynamically adjusted, the energy use efficiency is improved, indoor environment parameters are adjusted, energy consumption is reduced, and through continuous monitoring and strategy updating, the energy utilization efficiency is improved. The optimal performance of the building is maintained in various environments, energy waste is reduced, the cost efficiency is optimized, and the refined control not only improves the operation flexibility of the building, reduces the maintenance cost, but also enhances the living and working environment quality, and supports the sustainable development and environmental protection goal of the building industry.

Description

Technical Field

[0001] The present invention relates to the field of building control technology, and in particular to a dual control system of building energy consumption and carbon emission based on BIM. Background Art

[0002] The field of building control technology mainly involves the automated monitoring and management of building systems and environments to optimize the performance and resource efficiency of buildings, including the regulation and control of temperature, lighting, energy consumption, and security systems within buildings. With the advancement of technology, the field has gradually included intelligent building technology, which uses advanced information and communication technologies to enhance the automation functions of building facilities and optimize environmental, energy, and cost efficiency. Key technologies such as digital tools such as sensor networks, data analysis, and cloud computing are widely used in data collection, processing, and analysis to provide real-time feedback and control all aspects of the building. Technology not only improves the operational efficiency of buildings, but also helps reduce maintenance costs and improve the quality of living and working environments.

[0003] Among them, the dual control system of building energy consumption and carbon emissions is an integrated solution designed to optimize the energy use of buildings and reduce carbon emissions. The system uses advanced monitoring technologies, such as BIM (Building Information Modeling) technology, to track and manage the energy consumption and carbon emissions of buildings during construction and operation in real time. The main uses include automatic adjustment of energy distribution and utilization efficiency inside the building through precise data analysis and prediction models, ensuring that energy waste and carbon footprint are minimized while meeting indoor comfort. This system is particularly suitable for modern construction projects that pursue high energy efficiency and low carbon emission standards, and provides technical support for the sustainable development and environmental protection goals of the construction industry.

[0004] Existing technologies mainly rely on traditional sensor networks and data analysis tools. Although the technology can perform basic monitoring and control, it has obvious deficiencies in real-time processing and comprehensive utilization of data. For example, traditional technologies often face delay problems when processing and analyzing large-scale data, resulting in the inability to update energy management strategies in real time, thus affecting the energy efficiency and carbon emission control of buildings. Existing technologies cannot fully integrate and optimize all operating systems of buildings, resulting in inefficient energy distribution and the inability to ensure indoor comfort while minimizing energy waste and carbon footprint. The limitations of technology are particularly evident in modern construction projects, especially those that pursue high energy efficiency and low carbon emission standards. This deficiency results in buildings being unable to meet the expected environmental protection and energy efficiency standards, and unable to meet the requirements of increasingly stringent environmental protection regulations, thus affecting the sustainability and environmental image of construction projects. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings of the prior art and propose a dual control system of building energy consumption and carbon emissions based on BIM.

[0006] In order to achieve the above purpose, the present invention adopts the following technical solution: The dual control system of building energy consumption and carbon emission based on BIM includes:

[0007] The building element carbon emission analysis module is based on the input BIM model, analyzes the structural information in the BIM model, analyzes the building design and material usage, obtains durability and environmental impact analysis results, and evaluates the initial carbon emission potential of the building, generating initial carbon emission potential assessment results;

[0008] The building operation strategy optimization module adjusts the operation strategy of the internal equipment of the building based on the initial carbon emission potential assessment result, generates an adjusted operation mode, optimizes the building energy consumption and carbon emission performance according to the adjusted operation mode, and generates energy consumption and carbon emission control results;

[0009] The building environment adjustment response module adjusts the internal environment parameters of the building based on the energy consumption and carbon emission control results, optimizes the living and working environment, reduces energy consumption, generates indoor environment optimization records, promotes adaptive adjustment of the building environment according to the indoor environment optimization records, and generates adaptive environment adjustment results;

[0010] The building performance continuous monitoring module monitors the continuous performance of the building based on the adaptive environmental adjustment results, evaluates the effectiveness of the adjustment measures, and generates continuous performance evaluation results. According to the continuous performance evaluation results, the module regularly updates the optimized operation strategy and environmental regulation control to generate the optimal energy consumption and carbon emission adjustment results.

[0011] As a further solution of the present invention, the steps for obtaining the initial carbon emission potential assessment result are specifically as follows:

[0012] Based on the input BIM model, the structural information, including material type, quantity and layout, is extracted from the BIM model, and the basic carbon emission index of each material is calculated using the formula:

[0013]

[0014] Calculate and obtain the basic carbon emission data set, where C a represents the basic carbon emissions, Q a,i represents the quantity of material i, E a,i represents the unit carbon emission index of material i, k a is the material type adjustment factor, f a is the environmental impact factor;

[0015] Based on the basic carbon emission data set, the carbon emission index of each material is adjusted according to durability requirements and environmental impact analysis, referring to the building life and material recycling rate, using the formula:

[0016]

[0017] Calculate the adjusted carbon emission data, where R a Represents the recycling rate of materials, D a represents the durability discount factor, C a Represents basic carbon emissions, s a is the safety factor, E a represents the adjusted carbon emissions data;

[0018] Based on the adjusted carbon emission data, the building design and material usage are analyzed, the durability and environmental impact are evaluated, and the initial carbon emission potential of the building is evaluated to establish an initial carbon emission potential evaluation result.

[0019] As a further solution of the present invention, the step of obtaining the adjusted operating mode is specifically:

[0020] Extract key data from the initial carbon emission potential assessment results, including the current energy consumption and carbon emissions of the building's internal equipment, using the formula:

[0021]

[0022] Generate a new energy consumption baseline, where P b,j represents the power of device j, H b,j represents the number of operating hours per year of equipment j, c b is the adjustment coefficient, m represents the total number of devices, E b Indicates the new energy consumption baseline;

[0023] According to the new energy consumption baseline, analyze the equipment operation time and energy consumption data, combine the building usage pattern, optimize the equipment operation time to reduce energy consumption, and use the formula:

[0024]

[0025] Generate adjusted operating efficiency data, where R b,j Represents the energy efficiency improvement ratio of device j, T b is the total operating time of the equipment after adjustment, k b is the efficiency adjustment factor, E b Represents the new energy consumption baseline, P b,j represents the power of device j, O b represents the adjusted operating efficiency data;

[0026] The adjusted operating efficiency data is integrated into the building equipment management, the equipment operation strategy is adjusted, and the adjusted operating mode is generated.

[0027] As a further solution of the present invention, the steps for obtaining the energy consumption and carbon emission control results are specifically as follows:

[0028] Extract the equipment operation time data from the adjusted operation mode and calculate the hourly energy consumption change compared with the old mode using the formula:

[0029]

[0030] The total energy consumption reduction after adjustment is obtained, where P d,j represents the power of device j, H old,j and H new,j Represents the running time of the device in the old mode and the new mode respectively, r d is the energy saving rate, E d Represents the total energy consumption reduction after adjustment;

[0031] To calculate the reduction in carbon emissions using the adjusted total energy consumption reduction, apply the formula:

[0032] C d =E d ·f d

[0033] The expected carbon emission reduction is obtained, where E d represents the total energy consumption reduction after adjustment, f d is the carbon emission factor corresponding to each unit of energy consumption, C d represents the expected reduction in carbon emissions;

[0034] Based on the data of the expected carbon emission reduction, the carbon emission reduction is fed back to the building management configuration through integration, the environmental performance monitoring panel of the building management configuration is updated, the carbon emission data is imported into the database, the real-time data display settings are configured, and the energy efficiency is maintained and optimized by adjusting the strategy to generate energy consumption and carbon emission control results.

[0035] As a further solution of the present invention, the steps of obtaining the indoor environment optimization record are specifically as follows:

[0036] The adjusted energy consumption data is obtained from the energy consumption and carbon emission control results, and the energy consumption data is used to calculate the initial adjustment of the indoor environmental parameters using the formula:

[0037] S c =T c,init ·H c,init ·A c,init ·(1-δ c )

[0038] Calculate the initial comfort index of the indoor environment, where T c,init , H c,initand A c,init are the initial setting values ​​of temperature, humidity and air quality, δ c is the efficiency improvement factor adjusted based on the energy consumption results, S c Indicates the initial comfort index of the indoor environment;

[0039] According to the initial comfort index of the indoor environment, the indoor environmental parameters are adjusted to optimize energy consumption and improve environmental quality, through the formula:

[0040]

[0041] Calculate and obtain new environmental energy consumption indicators, where k c is the energy consumption optimization coefficient, γ c is the energy efficiency coefficient, λ c is the environmental response factor, E c,new Represents the new environmental energy consumption index, S c Indicates the initial comfort index of the indoor environment;

[0042] According to the new environmental energy consumption index, the calculated and adjusted environmental parameters are integrated with the energy consumption data, the environmental control log of the building management is updated, the parameter adjustment values ​​and the impact on energy efficiency and environmental quality are recorded, and the indoor environment optimization record is generated.

[0043] As a further solution of the present invention, the step of obtaining the adaptive environment adjustment result is specifically:

[0044] The environmental parameters before and after the adjustment are captured from the indoor environment optimization record, and the changes in temperature, humidity and air quality are analyzed. The formula is:

[0045] ΔE h =(T h,r -T h,t ) 2 +(H h,r -H h,t ) 2 +(A h,r -A h,t ) 2

[0046] Get the deviation of environmental parameters, where T h,r , H h,r , A h,r are the temperature, humidity and air quality indicators recorded, T h,t , H h,t , A h,t is the target setting value, ΔE h Indicates the deviation of environmental parameters.

[0047] According to the deviation of the environmental parameters, an adaptive adjustment strategy is formulated to optimize the environmental control parameters and improve the comfort of the living and working environment, through the formula:

[0048]

[0049] Get the adjusted environmental response level, where α h and β h is the adjustment factor, λ h is the environmental adaptability coefficient introduced, R h Indicates the adjusted environmental response level, ΔE h Indicates the deviation of environmental parameters;

[0050] According to the adjusted environmental response level, the data of the current building environment is analyzed, key adjustment parameters are determined, optimization strategies are designed, the optimization strategies are implemented in building environment management, and real-time environmental monitoring and adjustment are carried out to generate adaptive environmental adjustment results.

[0051] As a further solution of the present invention, the step of obtaining the continuous performance evaluation result is specifically:

[0052] The current operation data of the building is extracted from the adaptive environmental adjustment results, and the initial energy consumption and carbon emission indicators are calculated using the formula:

[0053]

[0054] Get the adjusted energy consumption of the building, where E h represents the adjusted energy consumption of the building, P h,j represents the power of device j, H h,j represents the running time of device j after adjustment, ∈ h represents the energy efficiency improvement rate, and m represents the total number of devices;

[0055] Using the energy consumption data from the building's adjusted energy consumption, the carbon emissions reduction is estimated using the compound calculation formula:

[0056]

[0057] Calculate the adjusted carbon emissions, where f h is the carbon emission factor, μ h To adjust the additional carbon reduction benefit ratio of the measure, E h represents the adjusted energy consumption of the building, C h represents the adjusted carbon emissions;

[0058] Compare the carbon emissions data in the adjusted carbon emissions with historical performance data, identify trends and deviations through data analysis, optimize operations and maintain building performance, and continuously evaluate performance to generate continuous performance evaluation results.

[0059] As a further solution of the present invention, the steps for obtaining the optimal energy consumption and carbon emission adjustment results are specifically as follows:

[0060] Data from the continuous performance evaluation results, including current energy consumption and carbon emissions, are extracted and used as a baseline to calculate the energy saving potential after optimization using the formula:

[0061]

[0062] Get the expected energy consumption after adjusting the strategy, where P w,j Represents the power of device i, H w,j is the raw operating hours, ΔH w,j is the adjusted reduction in operating hours, β w is the energy efficiency factor, E w represents the expected energy consumption after adjusting the strategy;

[0063] Using the expected energy consumption after the adjustment strategy, combined with environmental regulation technology and real-time operation data, carbon emissions are recalculated through the formula:

[0064] C w =E w γ w ·(1-ρ w )

[0065] Get the optimized carbon emission index, where γ w is the carbon emission factor per unit of energy consumption, ρ w is the percentage of additional carbon emission reduction, C w is the optimized carbon emission index, E w represents the expected energy consumption after adjusting the strategy;

[0066] Integrate the optimized carbon emission indicators, conduct periodic evaluation and adjustment of building operation strategies, compare historical and current data through the data analysis platform, evaluate the effectiveness of environmental regulation measures, and generate optimal energy consumption and carbon emission adjustment results.

[0067] Compared with the prior art, the advantages and positive effects of the present invention are:

[0068] In the present invention, by real-time tracking and dynamic management of building energy consumption and carbon emissions, the building performance and resource efficiency are optimized. By using BIM technology to deeply analyze structural information, a comprehensive evaluation of building design and material use is achieved, so as to more accurately predict and adjust the building's energy consumption and carbon emission potential. By dynamically adjusting the operation strategy of the building's internal equipment, not only energy distribution is optimized, but also the use efficiency is significantly improved. By adjusting the indoor environmental parameters of the building in real time, while optimizing the living and working environment, energy consumption is reduced. The performance of the building is continuously monitored and the operation strategy is regularly updated, so that the building can maintain the best performance state under changing environmental conditions, thereby reducing energy waste and carbon footprint, and optimizing environmental, energy and cost efficiency. This refined control and optimization improves the flexibility of building operations, reduces maintenance costs, and improves the quality of living and working environments, providing strong technical support for the sustainable development and environmental protection goals of the construction industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0069] Figure 1 is a system flow chart of the present invention;

[0070] Figure 2 A flow chart showing the initial carbon emission potential assessment results in the present invention;

[0071] Figure 3 is a flow chart of the adjusted operating mode in the present invention;

[0072] Figure 4 It is a flow chart of the energy consumption and carbon emission control results in the present invention;

[0073] Figure 5 A flow chart of indoor environment optimization record in the present invention;

[0074] Figure 6 A flow chart of the adaptive environment adjustment results in the present invention;

[0075] Figure 7 A flow chart showing the continuous performance evaluation results in the present invention;

[0076] Figure 8 This is a flow chart of the optimal energy consumption and carbon emission adjustment results in the present invention. DETAILED DESCRIPTION

[0077] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0078] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, "multiple" means two or more, unless otherwise clearly and specifically defined.

[0079] See also Figure 1 The dual control system of building energy consumption and carbon emissions based on BIM includes:

[0080] The building element carbon emission analysis module is based on the input BIM model, analyzes the structural information in the BIM model, analyzes the building design and material usage, obtains durability and environmental impact analysis results, and evaluates the initial carbon emission potential of the building, generating initial carbon emission potential assessment results;

[0081] The building operation strategy optimization module adjusts the operation strategy of the building's internal equipment based on the initial carbon emission potential assessment results, generates an adjusted operation mode, optimizes the building's energy consumption and carbon emission performance according to the adjusted operation mode, and generates energy consumption and carbon emission control results;

[0082] The building environment adjustment response module adjusts the internal environment parameters of the building based on the energy consumption and carbon emission control results, optimizes the living and working environment, reduces energy consumption, generates indoor environment optimization records, promotes the adaptive adjustment of the building environment according to the indoor environment optimization records, and generates adaptive environment adjustment results;

[0083] The building performance continuous monitoring module monitors the continuous performance of the building based on the adaptive environmental adjustment results, evaluates the effectiveness of the adjustment measures, and generates continuous performance evaluation results. According to the continuous performance evaluation results, it regularly updates the optimized operation strategy and environmental regulation control to generate the optimal energy consumption and carbon emission adjustment results.

[0084] The initial carbon emission potential assessment results include durability index, environmental impact score, and estimated carbon emission values; the energy consumption and carbon emission control results include energy saving ratio, carbon emission reduction, and operating efficiency; indoor environment optimization records include temperature setting, humidity adjustment, and air quality indicators; adaptive environment adjustment results include adaptive adjustment score, response time, and accuracy adjustment; continuous performance evaluation results include energy consumption tracking, carbon emission monitoring, and environmental stability evaluation; the optimal energy consumption and carbon emission adjustment results include update cycle, energy saving results, and carbon emission reduction effects.

[0085] See also Figure 2, the specific steps for obtaining the initial carbon emission potential assessment results are:

[0086] Based on the input BIM model, the structural information, including material type, quantity and layout, is extracted from the BIM model, and the basic carbon emission index of each material is calculated using the formula:

[0087]

[0088] Calculate and obtain the basic carbon emission data set, where C a represents the basic carbon emissions, Q a,i represents the quantity of material i, E a,i represents the unit carbon emission index of material i, k a is the material type adjustment factor, f a is the environmental impact factor;

[0089] Based on the basic carbon emission data set, the carbon emission index of each material is adjusted according to durability requirements and environmental impact analysis, referring to the building life and material recycling rate, using the formula:

[0090]

[0091] Calculate the adjusted carbon emission data, where R a Represents the recycling rate of materials, D a represents the durability discount factor, C a Represents basic carbon emissions, s a is the safety factor, E a represents the adjusted carbon emissions data;

[0092] Based on the adjusted carbon emission data, the building design and material usage are analyzed, the durability and environmental impact are evaluated, and the initial carbon emission potential of the building is evaluated to establish the initial carbon emission potential assessment results.

[0093] Basic carbon emissions formula:

[0094]

[0095] Q a,i : the quantity of material i, in tons;

[0096] E a,i : unit carbon emission index of material i, in kg CO2 / ton;

[0097] k a : Material type adjustment coefficient, taking into account the variability of carbon emissions of different materials;

[0098] f a: Environmental impact coefficient, considering the impact of material production environment on carbon emissions;

[0099] Assuming the building uses three main materials, set the following values ​​for each material:

[0100] Material 1: Q a,1 =500 tons, E a,1 =2.0kgCO2 / ton;

[0101] Material 2: Q a,2 =300 tons, E a,2 =1.5kgCO2 / ton;

[0102] Material 3: Q a,3 =200 tons, E a,3 =3.0kgCO2 / ton;

[0103] k a =0.1, indicating that the carbon emission index of all materials increases by 10%, f a =0.05, environmental impact coefficient;

[0104] Calculate C a :

[0105] C a =(500·2.0·(1+0.1)·0.05)+(300·1.5·(1+0.1)·0.05)+(200·3.0·(1+0.1)·0.05)

[0106] C a =(500·2.0·1.1·0.05)+(300·1.5·1.1·0.05)+(200·3.0·1.1·0.05)

[0107] C a =(55)+(24.75)+(33)C a =112.75

[0108] This represents a total carbon emission of 112.75kgCO2.

[0109] The formula for adjusted carbon emissions data is:

[0110]

[0111] C a : The basic carbon emission data obtained from the previous step;

[0112] R a : Material recycling rate;

[0113] D a: Durability discount factor;

[0114] s a : Safety factor, considering the impact of the safety margin of building design on carbon emissions;

[0115] Assumption: R a =0.2, indicating that 20% of the material can be recycled, D a =0.8, durability discount factor, s a =0.9, safety factor, using C a =112.75kgCO2;

[0116] Calculate E a :

[0117]

[0118] This represents a carbon footprint of 125.83 kg CO2 after adjusting for recycling and durability.

[0119] See also Figure 3 , the specific steps for obtaining the adjusted operating mode are:

[0120] Extract key data from the initial carbon emission potential assessment results, including the current energy consumption and carbon emissions of the building's internal equipment, using the formula:

[0121]

[0122] Generate a new energy consumption baseline, where P b,j represents the power of device j, H b,j represents the number of operating hours per year of equipment j, c b is the adjustment coefficient, m represents the total number of devices, E b Indicates the new energy consumption baseline;

[0123] Based on the new energy consumption baseline, analyze the equipment operation time and energy consumption data, and optimize the equipment operation time to reduce energy consumption based on the building usage pattern. Use the formula:

[0124]

[0125] Generate adjusted operating efficiency data, where R b,j Represents the energy efficiency improvement ratio of device j, T b is the total operating time of the equipment after adjustment, k b is the efficiency adjustment factor, E b Represents the new energy consumption baseline, P b,j represents the power of device j, O b represents the adjusted operating efficiency data;

[0126] Integrate the adjusted operating efficiency data into building equipment management, adjust the equipment operation strategy, and generate the adjusted operating mode.

[0127] New energy consumption baseline formula:

[0128]

[0129] P b,j : the power of device j, in kilowatts (kW);

[0130] H b,j : The number of operating hours per year of equipment j;

[0131] c b : Adjustment factor, used to reflect changes in energy consumption due to expected efficiency improvements or equipment updates;

[0132] Assume there are three main types of equipment in the building, and set the following values ​​for each:

[0133] Device 1: P b,1 =100kW, H b,1 =2000 hours / year;

[0134] Device 2: P b,2 =150kW, H b,2 =2500 hours / year;

[0135] Device 3: P b,3 =200kW, H b,3 =1800 hours / year;

[0136] c b =0.05 (i.e. 5% efficiency improvement);

[0137] Calculate E b :

[0138] E b =(100·2000·1.05)+(150·2500·1.05)+(200·1800·1.05

[0139] E b =(210000)+(393750)+(378000)=981750

[0140] This means that after accounting for equipment efficiency improvements, the annual energy consumption baseline for the entire building is 981,750 kWh.

[0141] Adjusted operating efficiency data formula:

[0142]

[0143] Eb : The new energy consumption baseline obtained from the previous formula;

[0144] R b,j : Energy efficiency improvement ratio of equipment j;

[0145] T b : Total running time of the equipment after adjustment;

[0146] k b : Efficiency adjustment coefficient, considering the optimization of total energy consumption distribution;

[0147] Assumed parameter value: k b =0.9 (the efficiency of energy consumption is improved after optimization);

[0148] Equipment energy efficiency improvement ratio: R b,1 =0.1, R b,2 =0.15, R b,3 =0.2;

[0149] Total operating time after equipment adjustment T b =8760 hours / year (all year operation);

[0150] Calculate O b :

[0151]

[0152] This means that by adjusting the equipment operation strategy, the new operation efficiency is 0 b ≈0.388, that is, the effective operating time supported by each unit of energy consumption increases, reducing the overall energy consumption.

[0153] See also Figure 4 , the specific steps for obtaining energy consumption and carbon emission control results are:

[0154] Extract the equipment operation time data from the adjusted operation mode and calculate the hourly energy consumption change compared with the old mode using the formula:

[0155]

[0156] The total energy consumption reduction after adjustment is obtained, where P d,j represents the power of device j, H old,j and H new,j Represents the running time of the device in the old mode and the new mode respectively, r d is the energy saving rate, E d Represents the total energy consumption reduction after adjustment;

[0157] To calculate the reduction in carbon emissions using the adjusted total energy consumption reduction, apply the formula:

[0158] C d =E d ·f d

[0159] The expected carbon emission reduction is obtained, where E d represents the total energy consumption reduction after adjustment, f d is the carbon emission factor corresponding to each unit of energy consumption, C d represents the expected reduction in carbon emissions;

[0160] Based on the data of expected carbon emission reduction, the carbon emission reduction is fed back to the building management configuration through integration, the environmental performance monitoring panel of the building management configuration is updated, the carbon emission data is imported into the database, the real-time data display settings are configured, and the energy efficiency is maintained and optimized by adjusting the strategy to generate energy consumption and carbon emission control results.

[0161] The formula for the adjusted total energy consumption reduction is:

[0162]

[0163] P d,j : The power of device j, expressed in kilowatts (kW);

[0164] H old,j : The operating time of the device in the old mode, in hours;

[0165] H new,j : The operating time of the device in the new mode, in hours;

[0166] r d : Energy saving rate, reflecting the proportion of energy saving achieved due to optimization measures;

[0167] Assume that the building has three types of equipment and set the following parameters:

[0168] Device 1: P d,1 =100kW, H old,1 =5000 hours, H new,1 =4500 hours;

[0169] Device 2: P d,2 =200kW, H old,2 =6000 hours, H new,2 =5500 hours;

[0170] Device 3: P d,3 =150kW, H old,3 =4000 hours, H new,3 =3500 hours;

[0171] r d =0.05 (5% energy saving rate);

[0172] Calculate E d :

[0173] E d =(100·(5000-4500)·(1-0.05))+(200·(6000-5500)·(1-0.05))+(150·(4000-3500)·(1-0.05))

[0174] E d =(100 500 0.95)+(200 500 0.95)+(150 500 0.95)

[0175] E d =47500+95000+71250E d =213750

[0176] This means that by optimizing the operation strategy, the total energy consumption saved in one year is expected to be 213,750 kWh.

[0177] The formula for expected carbon emission reduction is:

[0178] C d =E d ·f d

[0179] E d : The energy consumption reduction obtained from the previous formula;

[0180] f d : Carbon emission factor corresponding to unit energy consumption, in kilograms of CO2 / kWh;

[0181] Assumed value: f d = 0.7kgCO2 / kWh, assuming this is determined by the average carbon intensity of the local grid;

[0182] Calculate C d :

[0183] C d =213750·0.7C d =149625

[0184] This means that through optimization measures, the estimated reduction in carbon emissions is 149,625 kg CO2 per year.

[0185] See also Figure 5 , the specific steps for obtaining indoor environment optimization records are:

[0186] Get the adjusted energy consumption data from the energy consumption and carbon emission control results, and use the energy consumption data to calculate the initial adjustment of indoor environmental parameters using the formula:

[0187] S c =T c,init ·H c,init ·A c,init ·(1-δ c )

[0188] Calculate the initial comfort index of the indoor environment, where T c,init , H c,init and A c,init are the initial setting values ​​of temperature, humidity and air quality, δ c is the efficiency improvement factor adjusted based on the energy consumption results, S c Indicates the initial comfort index of the indoor environment;

[0189] According to the initial comfort index of the indoor environment, adjust the indoor environmental parameters to optimize energy consumption and improve environmental quality, through the formula:

[0190]

[0191] Calculate and obtain new environmental energy consumption indicators, where k c is the energy consumption optimization coefficient, γ c is the energy efficiency coefficient, λ c is the environmental response factor, E c,new Represents the new environmental energy consumption index, S c Indicates the initial comfort index of the indoor environment;

[0192] According to the new environmental energy consumption indicators, the calculated and adjusted environmental parameters are integrated with the energy consumption data, the environmental control log of the building management is updated, the parameter adjustment values ​​and their impact on energy efficiency and environmental quality are recorded, and the indoor environment optimization record is generated.

[0193] The formula for the initial comfort index of the indoor environment is:

[0194] S c =T c,init ·H c,init ·A c,init ·(1-δ c )

[0195] T c,init : Initial temperature setting value, assumed to be 22°C, represents the average temperature set indoors;

[0196] H c,init : Initial humidity setting value, assumed to be 50%, which is the standard setting for indoor comfortable humidity;

[0197] Ac,init : Initial air quality index, assumed to be 100, representing a good indoor air quality level;

[0198] δ c : Energy consumption optimization factor, assumed to be 0.05, i.e. 5% energy saving target;

[0199] Calculate S c :

[0200] S c =22·50·100·(1-0.05)

[0201] S c =22·50·100·0.95=104500

[0202] This calculation shows that after taking into account the energy consumption optimization factor, the comprehensive comfort index of the indoor environment is 104500, which is a comprehensive indicator that takes into account the standardized product of temperature, humidity and air quality.

[0203] The formula of the new environmental energy consumption index is:

[0204]

[0205] S c : The comprehensive comfort index obtained from the previous formula;

[0206] k c : Energy consumption optimization coefficient, assumed to be 1.2, reflects further adjustments to energy consumption;

[0207] γ c : Energy efficiency coefficient, assumed to be 0.8, represents the energy efficiency of existing equipment;

[0208] λ c : Environmental response factor, assumed to be 0.9, takes into account the sensitivity of the device in response to environmental adjustments;

[0209] Calculate E c,new :

[0210]

[0211] This result shows that, taking into account energy efficiency and environmental response factors, the new environmental energy consumption index is 147802, which represents the expected energy consumption calculated to maintain the same comfort level after adjusting environmental parameters.

[0212] See also Figure 6 , the specific steps for obtaining the adaptive environment adjustment results are:

[0213] Capture the environmental parameters before and after adjustment from the indoor environment optimization records, analyze the changes in temperature, humidity and air quality, and use the formula:

[0214] ΔE h =(T h,r -T h,t ) 2 +(H h,r -H h,t ) 2 +(A h,r -A h,t ) 2

[0215] Get the deviation of environmental parameters, where T h,r , H h,r , A h,r are the temperature, humidity and air quality indicators recorded, T h,t , H h,t , A h,t is the target setting value, ΔE h Indicates the deviation of environmental parameters.

[0216] According to the deviation of environmental parameters, formulate adaptive adjustment strategies, optimize environmental control parameters and improve the comfort of living and working environment, through the formula:

[0217]

[0218] Get the adjusted environmental response level, where α h and β h is the adjustment factor, λ h is the environmental adaptability coefficient introduced, R h Indicates the adjusted environmental response level, ΔE h Indicates the deviation of environmental parameters;

[0219] According to the adjusted environmental response level, analyze the data of the current building environment, determine the key adjustment parameters, design optimization strategies, implement optimization strategies in building environment management, and conduct real-time environmental monitoring and adjustment to generate adaptive environmental adjustment results.

[0220] Deviation formula of environmental parameters:

[0221] ΔE h =(T h,r -T h,t ) 2 +(H h,r -H h,t ) 2 +(A h,r -A h,t ) 2

[0222] T h,r : The recorded temperature is assumed to be 22 degrees;

[0223] T h,t : Target temperature, assumed to be 24 degrees;

[0224] H h,r : Humidity in the record, assumed to be 50%;

[0225] H h,t : Target humidity, assumed to be 45%;

[0226] A h,r : The recorded air quality index, assumed to be 80;

[0227] A h,t : Target air quality index, assumed to be 75;

[0228] Calculate the square of the temperature difference:

[0229] (T h,r -T h,t ) 2 =(22-24) 2 =4

[0230] Calculate the square of the humidity difference:

[0231] (H h,r -H h,t ) 2 =(50-45) 2 =25

[0232] Calculate the square of the difference in air quality:

[0233] (A h,r -A h,t ) 2 =(80-75) 2 =25

[0234] Calculate the total deviation ΔE h :

[0235] ΔE h =4+25+25=54

[0236] This means that the deviation value of the total environmental parameter is 54, which is used to measure the change before and after the environmental adjustment.

[0237] The formula for the adjusted environmental response level is:

[0238]

[0239] α h: Adjustment factor, assumed to be 1.5, which indicates the intensity of the adjustment effect;

[0240] β h : Adjustment speed coefficient, assuming it is 0.8, which indicates the slowness of the adjustment speed;

[0241] λ h : Environmental adaptability coefficient, assumed to be 0.9, which reflects the sensitivity of environmental adjustment;

[0242] ΔE h : The total deviation calculated by the previous formula;

[0243] Calculate R h :

[0244]

[0245] This means that after adaptive adjustment, the environmental response level is about 95.45, which is a high value, indicating that a greater adjustment intensity is required to achieve the target environmental state.

[0246] See also Figure 7 ,The specific steps for obtaining the continuous performance evaluation results are:

[0247] The current operating data of the building is extracted from the adaptive environmental adjustment results, and the initial energy consumption and carbon emission indicators are calculated using the formula:

[0248]

[0249] Get the adjusted energy consumption of the building, where E h represents the adjusted energy consumption of the building, P h,j represents the power of device j, H h,j represents the running time of device j after adjustment, ∈ h represents the energy efficiency improvement rate, and m represents the total number of devices;

[0250] Using the energy consumption data from the building's adjusted energy consumption, estimate the carbon emissions reduction using the compound calculation formula:

[0251]

[0252] Calculate the adjusted carbon emissions, where f h is the carbon emission factor, μ h To adjust the additional carbon reduction benefit ratio of the measure, E h represents the adjusted energy consumption of the building, C h represents the adjusted carbon emissions;

[0253] Compare carbon emissions data from adjusted carbon emissions with historical performance data, identify trends and deviations through data analysis, optimize operations and maintain building performance, and continuously evaluate performance to generate continuous performance evaluation results.

[0254] Adjusted energy consumption formula for buildings:

[0255]

[0256] P h,j : The power of device k, in kilowatts (kW);

[0257] H h,j : The running time of device k after adjustment, in hours;

[0258] ∈ h : Energy efficiency improvement rate, which indicates the proportion of energy consumption reduced due to efficiency improvement;

[0259] Assume that there are two main types of equipment in a building and set the following parameters:

[0260] Device 1: P h,1 =50kW, H h,1 =1500 hours,∈ h =0.10;

[0261] Device 2: P h,2 =75kW, H h,2 = 2000 hours, ∈ h =0.10;

[0262] Calculate E h :

[0263] E h =(50·1500·(1-0.10))+(75·2000·(1-0.10))

[0264] E h =(50·1500·0.90)+(75·2000·0.90)

[0265] E h =67500+135000=202500

[0266] This represents an adjusted total energy consumption of 202,500 kWh, a result that shows the reduction in energy consumption resulting from the efficiency improvement measures.

[0267] Adjusted carbon emissions formula:

[0268]

[0269] E h: The energy consumption reduction calculated from the previous step;

[0270] f h : Carbon emission factor corresponding to unit energy consumption, assumed to be 0.0004 tons CO2 / kWh;

[0271] μ h : The additional carbon emission reduction benefit ratio due to adjustment measures is set to 0.05;

[0272] Calculate C h :

[0273]

[0274] This result indicates that the energy efficiency improvements will reduce CO2 emissions by an estimated 482,143 tonnes per year.

[0275] See also Figure 8 , the specific steps for obtaining the optimal energy consumption and carbon emission adjustment results are:

[0276] Data from the continuous performance evaluation results, including current energy consumption and carbon emissions, are extracted and used as a baseline to calculate the energy saving potential after optimization using the formula:

[0277]

[0278] Get the expected energy consumption after adjusting the strategy, where P w,j Represents the power of device i, H w,j is the raw operating hours, ΔH w,j is the adjusted reduction in operating hours, β w is the energy efficiency factor, E w represents the expected energy consumption after adjusting the strategy;

[0279] Using the expected energy consumption after adjusting the strategy, combined with environmental regulation technology and real-time operation data, recalculate carbon emissions through the formula:

[0280] C w =E w γ w ·(1-ρ w )

[0281] Get the optimized carbon emission index, where γ w is the carbon emission factor per unit of energy consumption, ρ w is the percentage of additional carbon emission reduction, C w is the optimized carbon emission index, E w represents the expected energy consumption after adjusting the strategy;

[0282] Integrate optimized carbon emission indicators to periodically evaluate and adjust building operation strategies. Through the data analysis platform, compare historical and current data, evaluate the effectiveness of environmental regulation measures, and generate optimal energy consumption and carbon emission adjustment results.

[0283] The expected energy consumption formula after adjusting the strategy is:

[0284]

[0285] P w,i : The power of device i, in kilowatts (kW);

[0286] H w,i : The number of operating hours of equipment i before adjustment;

[0287] ΔH w,i : The number of operating hours reduced by equipment i due to optimization measures;

[0288] β w : Energy efficiency improvement factor, indicating the improvement of energy efficiency;

[0289] Assume there are two devices and set the following parameters for each device:

[0290] Device 1: P w,1 =50kW, H w,1 =4000 hours, ΔH w,1 =500 hours, β w =0.95;

[0291] Device 2: P w,2 =75kW, H w,2 =3000 hours, ΔH w,2 =300 hours, β w =0.95;

[0292] Calculate E w :

[0293] E w =(50·(4000-500)·0.95)+(75·(3000-300)·0.95)

[0294] E w =(50·3325·0.95)+(75·2700·0.95)

[0295] E w =(157687.5)+(192375)=350062.5

[0296] This means that the total expected energy consumption after adjusting the strategy is 350062.5 kWh, showing the total energy consumption reduction brought about by the energy efficiency improvement measures.

[0297] Optimized carbon emission index formula:

[0298] C w =E w γ w ·(1-ρ w )

[0299] E w : Energy consumption calculated in the previous step;

[0300] γ w : Carbon emission factor per unit of energy consumption, assumed to be 0.0004 tons CO2 / kWh;

[0301] ρ w : The additional carbon emission reduction percentage due to the implementation of new technology is set to 0.05;

[0302] Calculate C w :

[0303] C w =350062.5·0.0004·(1-0.05)

[0304] C w =350062.5 · 0.0004 · 0.95

[0305] C w =133.02375

[0306] This result shows that after adjustment, it is expected that approximately 133 tons of CO2 emissions will be reduced each year.

[0307] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. The dual control system of building energy consumption and carbon emission based on BIM is characterized by: The system comprises: The building element carbon emission analysis module is based on the input BIM model, analyzes the structural information in the BIM model, analyzes the building design and material usage, obtains durability and environmental impact analysis results, and evaluates the initial carbon emission potential of the building, generating initial carbon emission potential assessment results; The building operation strategy optimization module adjusts the operation strategy of the internal equipment of the building based on the initial carbon emission potential assessment result, generates an adjusted operation mode, optimizes the building energy consumption and carbon emission performance according to the adjusted operation mode, and generates energy consumption and carbon emission control results; The building environment adjustment response module adjusts the internal environment parameters of the building based on the energy consumption and carbon emission control results, optimizes the living and working environment, reduces energy consumption, generates indoor environment optimization records, promotes adaptive adjustment of the building environment according to the indoor environment optimization records, and generates adaptive environment adjustment results; The building performance continuous monitoring module monitors the continuous performance of the building based on the adaptive environmental adjustment results, evaluates the effectiveness of the adjustment measures, and generates continuous performance evaluation results. According to the continuous performance evaluation results, the module regularly updates the optimized operation strategy and environmental regulation control to generate the optimal energy consumption and carbon emission adjustment results.

2. The BIM-based building energy consumption and carbon emission dual control system according to claim 1 is characterized in that: The steps for obtaining the initial carbon emission potential assessment results are specifically as follows: Based on the input BIM model, the structural information, including material type, quantity and layout, is extracted from the BIM model, and the basic carbon emission index of each material is calculated using the formula: Calculate and obtain the basic carbon emission data set, where C a represents the basic carbon emissions, Q a,i represents the quantity of material i, E a,i represents the unit carbon emission index of material i, k a is the material type adjustment factor, f a is the environmental impact factor; Based on the basic carbon emission data set, the carbon emission index of each material is adjusted according to durability requirements and environmental impact analysis, referring to the building life and material recycling rate, using the formula: Calculate the adjusted carbon emission data, where R a Represents the recycling rate of materials, D a represents the durability discount factor, C a Represents basic carbon emissions, s a is the safety factor, E a represents the adjusted carbon emission data; Based on the adjusted carbon emission data, the building design and material usage are analyzed, the durability and environmental impact are evaluated, and the initial carbon emission potential of the building is evaluated to establish an initial carbon emission potential evaluation result.

3. The BIM-based building energy consumption and carbon emission dual control system according to claim 2 is characterized in that: The steps for obtaining the adjusted operating mode are specifically as follows: Extract key data from the initial carbon emission potential assessment results, including the current energy consumption and carbon emissions of the building's internal equipment, using the formula: Generate a new energy consumption baseline, where P b,j represents the power of device j, H b,j represents the number of operating hours per year of equipment j, c b is the adjustment coefficient, m represents the total number of devices, E b Indicates the new energy consumption baseline; According to the new energy consumption baseline, analyze the equipment operation time and energy consumption data, combine the building usage pattern, optimize the equipment operation time to reduce energy consumption, and use the formula: Generate adjusted operating efficiency data, where R b,j Represents the energy efficiency improvement ratio of device j, T b is the total operating time of the equipment after adjustment, k b is the efficiency adjustment factor, E b Represents the new energy consumption baseline, P b,j represents the power of device j, O b represents the adjusted operating efficiency data; The adjusted operating efficiency data is integrated into the building equipment management, the equipment operation strategy is adjusted, and the adjusted operating mode is generated.

4. The BIM-based building energy consumption and carbon emission dual control system according to claim 3 is characterized in that: The steps for obtaining the energy consumption and carbon emission control results are specifically as follows: Extract the equipment operation time data from the adjusted operation mode and calculate the hourly energy consumption change compared with the old mode using the formula: The total energy consumption reduction after adjustment is obtained, where P d,j represents the power of device j, H old,j and H new,j Represents the running time of the device in the old mode and the new mode respectively, r d is the energy saving rate, E d Represents the total energy consumption reduction after adjustment; To calculate the reduction in carbon emissions using the adjusted total energy consumption reduction, apply the formula: C d =E d ·f d The expected carbon emission reduction is obtained, where E d represents the total energy consumption reduction after adjustment, f d is the carbon emission factor corresponding to each unit of energy consumption, C d represents the expected reduction in carbon emissions; Based on the data of the expected carbon emission reduction, the carbon emission reduction is fed back to the building management configuration through integration, the environmental performance monitoring panel of the building management configuration is updated, the carbon emission data is imported into the database, the real-time data display settings are configured, and the energy efficiency is maintained and optimized by adjusting the strategy to generate energy consumption and carbon emission control results.

5. The BIM-based building energy consumption and carbon emission dual control system according to claim 4 is characterized in that: The steps for obtaining the indoor environment optimization record are specifically as follows: The adjusted energy consumption data is obtained from the energy consumption and carbon emission control results, and the energy consumption data is used to calculate the initial adjustment of the indoor environmental parameters using the formula: S c =T c,init ·H c,init ·A c,init ·(1-δ c ) Calculate the initial comfort index of the indoor environment, where T c,init , H c,init and A c,init are the initial setting values ​​of temperature, humidity and air quality, δ c is the efficiency improvement factor adjusted based on the energy consumption results, S c Indicates the initial comfort index of the indoor environment; According to the initial comfort index of the indoor environment, the indoor environmental parameters are adjusted to optimize energy consumption and improve environmental quality, through the formula: Calculate and obtain new environmental energy consumption indicators, where k c is the energy consumption optimization coefficient, γ c is the energy efficiency coefficient, λ c is the environmental response factor, E c,new Represents the new environmental energy consumption index, S c Indicates the initial comfort index of the indoor environment; According to the new environmental energy consumption index, the calculated and adjusted environmental parameters are integrated with the energy consumption data, the environmental control log of the building management is updated, the parameter adjustment values ​​and the impact on energy efficiency and environmental quality are recorded, and the indoor environment optimization record is generated.

6. The BIM-based building energy consumption and carbon emission dual control system according to claim 5 is characterized in that: The steps for obtaining the adaptive environment adjustment result are specifically as follows: The environmental parameters before and after the adjustment are captured from the indoor environment optimization record, and the changes in temperature, humidity and air quality are analyzed. The formula is: ΔE h =(T h,r -T h,t ) 2 +(H h,r -H h,t ) 2 +(A h,r -A h,t ) 2 Get the deviation of environmental parameters, where T h,r , H h,r , A h,r are the temperature, humidity and air quality indicators recorded, T h,t , H h,t , A h,t is the target setting value, ΔE h Indicates the deviation of environmental parameters. According to the deviation of the environmental parameters, an adaptive adjustment strategy is formulated to optimize the environmental control parameters and improve the comfort of the living and working environment, through the formula: Get the adjusted environmental response level, where α h and β h is the adjustment factor, λ h is the environmental adaptability coefficient introduced, R h Indicates the adjusted environmental response level, ΔE h Indicates the deviation of environmental parameters; According to the adjusted environmental response level, the data of the current building environment is analyzed, key adjustment parameters are determined, optimization strategies are designed, the optimization strategies are implemented in building environment management, and real-time environmental monitoring and adjustment are carried out to generate adaptive environmental adjustment results.

7. The BIM-based building energy consumption and carbon emission dual control system according to claim 6 is characterized in that: The steps for obtaining the continuous performance evaluation results are specifically as follows: The current operation data of the building is extracted from the adaptive environmental adjustment results, and the initial energy consumption and carbon emission indicators are calculated using the formula: Get the adjusted energy consumption of the building, where E h represents the adjusted energy consumption of the building, P h,j represents the power of device j, H h,j represents the running time of device j after adjustment, ∈ h represents the energy efficiency improvement rate, and m represents the total number of devices; Using the energy consumption data from the building's adjusted energy consumption, the carbon emissions reduction is estimated using the compound calculation formula: Calculate the adjusted carbon emissions, where f h is the carbon emission factor, μ h To adjust the additional carbon reduction benefit ratio of the measure, E h represents the adjusted energy consumption of the building, C h represents the adjusted carbon emissions; Compare the carbon emissions data in the adjusted carbon emissions with historical performance data, identify trends and deviations through data analysis, optimize operations and maintain building performance, and continuously evaluate performance to generate continuous performance evaluation results.

8. The BIM-based building energy consumption and carbon emission dual control system according to claim 7 is characterized in that: The steps for obtaining the optimal energy consumption and carbon emission adjustment results are specifically as follows: Data from the continuous performance evaluation results, including current energy consumption and carbon emissions, are extracted and used as a baseline to calculate the energy saving potential after optimization using the formula: Get the expected energy consumption after adjusting the strategy, where P w,j Represents the power of device i, H w,j is the raw operating hours, ΔH w,j is the adjusted reduction in operating hours, β w is the energy efficiency factor, E w represents the expected energy consumption after adjusting the strategy; Using the expected energy consumption after the adjustment strategy, combined with environmental regulation technology and real-time operation data, carbon emissions are recalculated through the formula: C w =E w ·c w ·(1-p w ) Get the optimized carbon emission index, where γ w is the carbon emission factor per unit of energy consumption, ρ w is the percentage of additional carbon emission reduction, C w is the optimized carbon emission index, E w represents the expected energy consumption after adjusting the strategy; Integrate the optimized carbon emission indicators, conduct periodic evaluation and adjustment of building operation strategies, compare historical and current data through the data analysis platform, evaluate the effectiveness of environmental regulation measures, and generate optimal energy consumption and carbon emission adjustment results.

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