CN114818095A - Green building elastic constraint energy-saving optimization method - Google Patents

Abstract

The invention provides an energy-saving optimization method for elastic constraints of green buildings, which acquires and organizes the detailed information of all energy-consuming equipment in the green building, records and classifies the equipment, and simultaneously constructs an energy-consumption factor correlation model to obtain a set of fuzzy preliminary elements; A set of fuzzy preparatory elements for green building energy consumption, determine elastic constraints, and build an energy-saving optimization model; use the energy-saving optimization model to manage and control the energy conservation of green buildings, and obtain the optimal energy-saving plan. The invention solves the technical problems of poor user experience and poor self-adaptation in the prior art, and realizes the technical effect of strong user experience and strong self-adaptation.

Description

An energy-saving optimization method with elastic constraints for green buildings

technical field

The invention relates to the technical field of environment-friendly buildings, in particular to an energy-saving optimization method for elastic constraints of green buildings.

Background technique

Green building refers to the building that saves resources to the maximum extent, protects the environment and reduces pollution, provides people with healthy, suitable and efficient use space, and coexists in harmony with nature during the whole life cycle of the building. In order to deal with environmental problems, establish a resource-saving and environment-friendly society, practice the scientific concept of development, and achieve sustainable development, my country has been promoting the development of green buildings for a long time.

"CN2020114532095" "an energy-saving and environmentally friendly green building" invented by Chen Changwen includes vertical wall panels, bottom supporting wall panels, supporting partitions and roof. The wall plate and the supporting partition are arranged between the two vertical wall plates; the outer side wall of the inner threaded cylinder is symmetrically connected with one end of the two traction steel ropes, and the traction steel ropes go around the No. 1 fixed pulley and the No. 2 fixed pulley in turn. The pulley, the No. 1 fixed pulley and the No. 2 fixed pulley are all rotatably arranged on the support partition; the other end of the traction steel rope is fixedly connected to the side wall of the connecting plate, and the connecting plate is fixedly arranged on the U-shaped connecting plate, and the U-shaped connecting plate is fixed on the U-shaped connecting plate. The connecting plate is fixedly arranged on the No. 2 limit plate. The energy-saving and environmentally friendly green building still adopts the assembled installation method, and a closed building is formed by combining multiple assembled main bodies.

However, in the process of implementing the technical solutions of the embodiments of the present application, the inventors of the present application found that the above-mentioned technologies have at least the technical problems of poor user experience and poor self-adaptation.

SUMMARY OF THE INVENTION

The present invention solves the technical problems of poor user experience and poor self-adaptation in the prior art by providing an energy-saving optimization method for elastic constraints of green buildings, and realizes the technical effect of strong user experience and strong self-adaptation.

The present invention provides a green building elastic constraint energy saving optimization method, comprising the following steps:

S1. Acquire and sort out the detailed information of all energy-consuming equipment in the green building, record and classify the equipment, and construct an energy-consumption factor correlation model to obtain a set of fuzzy preliminary elements;

S2. According to the set of fuzzy preparatory elements of green building energy consumption, determine the elastic constraint conditions, and construct an energy-saving optimization model at the same time;

S3. Use the energy-saving optimization model to manage and control the energy-saving of green buildings, and obtain the optimal energy-saving plan.

Further, the step S1 includes:

Define the physical factors affecting the set P, and at the same time, classify and analyze all energy-consuming equipment and households in the green building to obtain the set S. By defining the potential relationship matrix CNT between P and S, it provides a basis for the input of subsequent model construction.

Further, the step S1 includes:

Construct the energy consumption factor correlation model Mode, as follows:

；S表示设备及住户因素影响集合，

；CNT表示P与S之间的潜在关系矩阵；QP表示物理因素影响集合对应的权重集合，

；QS表示设备及住户因素影响集合对应的权重集合，

；OUT表示模型的输出，即关于绿色建筑能耗的模糊预备元素集合。Among them, P represents the physical factor influence set

; S represents the influence set of equipment and household factors,

; CNT represents the potential relationship matrix between P and S; QP represents the weight set corresponding to the physical factor influence set,

; QS represents the weight set corresponding to the influence set of equipment and household factors,

; OUT represents the output of the model, that is, a set of fuzzy preliminary elements about the energy consumption of green buildings.

Further, the step S2 includes:

Through the preliminary operation set obtained in step S1, the elastic constraints of energy consumption are further stipulated as follows:

；AX表示满足约束条件的函数表达式，M表示约束条件个数；X表示影响能耗的变量集，

，N表示变量个数；

表示该约束条件为弹性约束；B表示约束函数AX的限定条件门限，

；

表示所有变量满足的最低门限，

。where A represents the constraint matrix,

; AX represents the function expression that satisfies the constraints, M represents the number of constraints; X represents the variable set that affects energy consumption,

, N represents the number of variables;

Indicates that the constraint condition is an elastic constraint; B represents the limit condition threshold of the constraint function AX,

;

represents the lowest threshold satisfied by all variables,

.

Further, the step S2 includes:

The elastic constraint energy-saving optimization model of green building is constructed as follows:

表示M个约束函数。Among them, F represents the objective function set; X represents the variable set that affects energy consumption; C represents the variable corresponding coefficient matrix;

represents M constraint functions.

Further, the step S3 includes:

。For the green building constrained energy-saving optimization model, when solving the optimal solution, it is regarded as solving a differential equation system, and the constraint matrix A is simplified by introducing a conjugate symmetric simplified matrix, and the optimization is calculated according to the nature of the equivalent substitution of the simplified matrix. model optimal solution

.

The present invention has at least the following technical effects or advantages:

1. The present invention finds and classifies the influencing factors of green building energy consumption, further determines the influence index between the influencing factors, and more comprehensively summarizes the influencing factors of green buildings, so that users can have a better experience.

2. The present invention obtains a set of fuzzy preparatory elements for energy consumption of green buildings by constructing a correlation model of energy consumption factors. For different green buildings, the input matrix and set of the model only need to be modified and adjusted correspondingly to obtain the corresponding energy consumption. The set of fuzzy preliminary elements improves the adaptability of the method of the present invention.

3. The present invention determines the constraints of the optimization model by using the energy consumption-based preparatory element set to fully examine the comprehensiveness of the green building, and under the premise of strong self-adaptation, a more perfect user experience can be obtained.

4. The present invention lays a good foundation for finding the optimal solution by defining the elastic constraint energy-saving optimization model of the green building, and obtaining the specific constraint function expression through function transformation.

5. By introducing a simplified matrix, the present invention simplifies the constraint matrix when solving the optimization model, thereby reducing the complexity of the solution and the accuracy of the solution.

Description of drawings

Fig. 1 is the flow chart of a kind of green building elastic restraint energy-saving method according to the present invention;

FIG. 2 is a simplified diagrammatic method in a method for energy saving by elastic restraint of a green building according to the present invention.

Detailed ways

The technical solutions in the embodiments of the present application are to solve the above-mentioned technical problems, and the general idea is as follows:

Firstly, the detailed information of all energy-consuming equipment in the green building is obtained and sorted, the equipment is recorded and classified, and the energy consumption factor correlation model is constructed at the same time to obtain a set of fuzzy preliminary elements; Constraints of green buildings, construct an energy-saving optimization model, and at the same time functionalize the model to provide a convenient mode for obtaining the optimal solution; finally, the energy-saving optimization model is used to manage and control the energy conservation of green buildings, and the constraints in the constraints of the model are introduced by introducing a simplified matrix. The matrix is simplified to obtain the optimal energy saving plan. By searching for the influencing factors of green building energy consumption and classifying them, the influence index between the influencing factors is further determined, and the influencing factors of green buildings are more comprehensively summarized, so that users can have a better experience; The factor correlation model is used to obtain the set of fuzzy preliminary elements of green building energy consumption. For different green buildings, only the input matrix and set of the model need to be modified and adjusted correspondingly to obtain the corresponding set of fuzzy preliminary elements of energy consumption, which improves the cost. The self-adaptability of the invention method; by using the energy consumption-based preparatory element set to determine the constraints of the optimization model, the comprehensiveness of the green building can be fully checked, and a more perfect user experience can be obtained under the premise of strong self-adaptation; Define the elastic constraint energy-saving optimization model of green building, and obtain the specific constraint function expression through function transformation, which lays a good foundation for finding the optimal solution; by introducing a simplified matrix, when solving the optimization model, the constraint matrix is simplified , which reduces the complexity of the solution and the accuracy of the solution.

In order to better understand the above technical solutions, the above technical solutions will be described in detail below with reference to the accompanying drawings and specific embodiments.

Referring to accompanying drawing 1, a kind of green building elastic constraint energy saving optimization method specifically includes the following steps:

S1. Acquire and sort out the detailed information of all energy-consuming equipment in the green building, record and classify the equipment, and construct an energy-consumption factor correlation model to obtain a set of fuzzy preliminary elements;

Green building energy consumption factors include: building envelope, building orientation and shape, window insulation and shading, window shading and window-to-wall ratio, occupant behavior, local energy-saving policies, local environment, climatic conditions, all equipment in the building; The equipment described above includes: heating equipment, refrigeration equipment, power supply equipment, gas supply equipment, water supply equipment, etc.

S11. According to the green building physical information, the physical information is irreversible attribute information about the green building;

，所述集合P表示对绿色建筑能耗影响的物理因素的影响因子。By visiting and investigating and consulting the relevant documents published by the Meteorological Bureau and the government, such as the "Code for Thermal Engineering Design of Civil Buildings", the set C of influence elements for green buildings determined by local climatic conditions and set G of influence elements for green buildings determined by local energy-saving policies were obtained. ; The set C includes elements such as light intensity, light duration, rainfall, and rainfall duration; the set G includes factors affecting thermal insulation of enclosure structures, factors affecting thermal insulation of maintenance structures, factors affecting moisture resistance of enclosure structures, and factors affecting natural ventilation , building shading influence factors, etc. In the present invention, the physical factor influence set P is defined,

, the set P represents the influencing factors of physical factors that affect the energy consumption of green buildings.

S12. Aiming at the impact of equipment in green buildings on energy consumption, define a set of equipment influence factors, and combine them with the set of physical factors to construct a network of equipment relationships to obtain a set of fuzzy preliminary elements.

，其中E表示耗电设备的所有特征引起的能耗因子构成的集合；W表示耗水设备的所有特征引起的能耗因子构成的集合；Ga表示耗气设备的所有特征引起的能耗因子构成的集合；T表示供暖设备的所有特征引起的能耗因子构成的集合；Pe表示住户的所有特征引起的能耗因子构成的集合。There are several energy-consuming equipments inside the green building. The energy-consuming equipments include: heating equipment, cooling equipment, power supply equipment, gas supply equipment, water supply equipment, etc. In the present invention, the equipments are classified into the following categories: , water consumption equipment, gas consumption equipment, heating equipment (carbon consumption). At the same time, the resident situation is also used as a part of the equipment impact factor set, that is, the definition set S,

, where E represents the set of energy consumption factors caused by all features of power-consuming equipment; W represents the set of energy-consumption factors caused by all features of water-consuming equipment; Ga represents the composition of energy consumption factors caused by all features of gas-consuming equipment T represents the set of energy consumption factors caused by all features of heating equipment; Pe represents the set of energy consumption factors caused by all features of households.

The present invention further determines the influence index among the influencing factors by searching and classifying the influencing factors of the energy consumption of the green building, and more comprehensively summarizes the influencing factors of the green building, so that the user has a better experience.

As a specific embodiment, a network of influences of set P and set S on energy consumption is obtained through investigation, and a set of fuzzy preliminary elements is obtained.

Construct the energy consumption factor correlation model Mode, as follows:

；S表示设备及住户因素影响集合,

；CNT表示P与S之间的潜在关系矩阵；QP表示物理因素影响集合对应的权重集合,

；QS表示设备及住户因素影响集合对应的权重集合,

；OUT表示模型的输出，即关于绿色建筑能耗的模糊预备元素集合。Among them, P represents the physical factor influence set

; S represents the influence set of equipment and household factors,

; CNT represents the potential relationship matrix between P and S; QP represents the weight set corresponding to the physical factor influence set,

;QS represents the weight set corresponding to the influence set of equipment and household factors,

; OUT represents the output of the model, that is, a set of fuzzy preliminary elements about the energy consumption of green buildings.

Among them, the elements in the matrix CNT represent the mutual influence index between the elements of the sets P and S, and if there is no relationship between the two, the value of the corresponding position element of the matrix is 0.

表示矩阵的点乘，即逐个相乘；

表示矩阵的转置。in,

Represents the dot multiplication of the matrix, that is, multiplication one by one;

Represents the transpose of a matrix.

The present invention obtains a set of fuzzy preparatory elements for energy consumption of green buildings by constructing a correlation model of energy consumption factors, and only needs to modify and adjust the input matrix and set of the model for different green buildings to obtain the corresponding fuzzy preparatory energy consumption. The set of elements improves the adaptability of the method of the present invention.

S2. According to the set of fuzzy preparatory elements of green building energy consumption, determine the elastic constraint conditions, and construct an energy-saving optimization model at the same time;

When determining the constraints of green building optimization, the present invention follows the criteria for green building energy saving, land saving, water saving, material saving and environment, from land saving and outdoor environment, energy saving and energy utilization, water saving and water resources utilization, Constraints are formulated in terms of material saving and material resource utilization.

S21. Determine green building constraints and objective functions

，其中F表示目标函数集；X表示影响能耗的变量集；C表示变量对应系数矩阵。Determine the objective function for green building power consumption, water consumption, gas consumption...N related energy consumption

, where F represents the objective function set; X represents the variable set that affects energy consumption; C represents the variable corresponding coefficient matrix.

The elastic constraints corresponding to energy consumption are:

；AX表示满足约束条件的函数表达式，M表示约束条件个数；X表示影响能耗的变量集，

，N表示变量个数；

表示该约束条件为弹性约束；B表示约束函数AX的限定条件门限，

；

表示所有变量满足的最低门限，

。where A represents the constraint matrix,

; AX represents the function expression that satisfies the constraints, M represents the number of constraints; X represents the variable set that affects energy consumption,

, N represents the number of variables;

Indicates that the constraint condition is an elastic constraint; B represents the limit condition threshold of the constraint function AX,

;

represents the lowest threshold satisfied by all variables,

.

The present invention determines the constraint conditions of the optimization model by using the energy consumption-based preparatory element set to fully check the comprehensiveness of the green building, and under the premise of strong self-adaptation, a more perfect user experience can be obtained.

S22. Build an energy-saving optimization model with elastic constraints for green buildings

As a specific embodiment, the green building elastic constraint energy-saving optimization model of the present invention is:

表示M个约束函数。in,

represents M constraint functions.

The invention lays a good foundation for finding the optimal solution by defining the elastic constraint energy saving optimization model of the green building, and obtaining the specific constraint function expression through function transformation.

S3. Use the energy-saving optimization model to manage and control the energy-saving of green buildings, and obtain the optimal energy-saving plan.

Constrained energy-saving optimization model for green buildings:

When solving the optimal solution, it can be regarded as solving a system of differential equations, namely:

To simplify the constraint matrix A, the present invention defines a simplified matrix with conjugate symmetry:

表示取自约束矩阵A中的i阶矩阵，例如

，

表示矩阵的秩。参照附图2，可更好理解简化矩阵性质。in,

Represents a matrix of order i taken from the constraint matrix A, e.g.

,

Represents the rank of the matrix. Referring to Figure 2, the simplified matrix properties can be better understood.

Decompose the constraint matrix A with the simplified matrix to get:

Then, the solution process of the differential equation can be equivalent to:

，由于矩阵

为对角阵，则取满足

对角线上的取值范围，同时满足

的约束条件的取值即为所求微分方程的解

。According to the property of the equivalent substitution of the simplified matrix, we can get

, since the matrix

is a diagonal matrix, then take satisfying

The value range on the diagonal, while satisfying

The value of the constraint condition is the solution of the differential equation to be sought

.

By introducing a simplified matrix, the invention simplifies the constraint matrix when solving the optimization model, thereby reducing the complexity of the solution and the accuracy of the solution.

取和，即可得到最低能耗，在取得该最优解的前提下，变量A与X的值，即为可选的情况。The final optimal solution

The minimum energy consumption can be obtained by taking the sum. On the premise of obtaining the optimal solution, the values of the variables A and X are optional.

To sum up, the energy-saving optimization method for elastic constraint of a green building according to the present invention is completed.

Effect research:

The technical solution of the present invention effectively solves the technical problems of poor user experience and poor self-adaptation, and the above-mentioned system or method has undergone a series of effect investigations, and the factors affecting the energy consumption of green buildings are searched and classified. , further determine the influence index between the influencing factors, and more comprehensively summarize the influencing factors of green buildings, so that users can have a better experience; Different green buildings only need to modify and adjust the input matrix and set of the model correspondingly to obtain the corresponding set of fuzzy preliminary elements of energy consumption, which improves the adaptability of the method of the present invention; Determine the constraints of the optimization model, fully examine the comprehensiveness of the green building, and obtain a more perfect user experience under the premise of strong self-adaptation; by defining the elastic constraint energy-saving optimization model of the green building, and obtain the specific energy-saving optimization model through function transformation. The constraint function expression of , lays a good foundation for finding the optimal solution; by introducing a simplified matrix, when solving the optimization model, the constraint matrix is simplified, which reduces the complexity of the solution and the accuracy of the solution.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block in the flowcharts and/or block diagrams, and combinations of flows and/or blocks in the flowcharts and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to the processor of a general purpose computer, special purpose computer, embedded processor or other programmable data processing device to produce a machine such that the instructions executed by the processor of the computer or other programmable data processing device produce Means for implementing the functions specified in one or more of the flowcharts and/or one or more blocks of the block diagrams.

These computer program instructions can also be loaded on a computer or other programmable data processing device to cause a series of operational steps to be performed on the computer or other programmable device to produce a computer-implemented process such that The instructions provide steps for implementing the functions specified in one or more of the flowcharts and/or one or more blocks of the block diagrams.

Although preferred embodiments of the present invention have been described, additional changes and modifications to these embodiments may occur to those skilled in the art once the basic inventive concepts are known. Therefore, the appended claims are intended to be construed to include the preferred embodiment and all changes and modifications that fall within the scope of the present invention.

It will be apparent to those skilled in the art that various modifications and variations can be made in the present invention without departing from the spirit and scope of the invention. Thus, provided that these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims (6)

1. a green building elastic constraint energy-saving optimization method, is characterized in that, comprises the following steps: S1. Acquire and sort out the detailed information of all energy-consuming equipment in the green building, record and classify the equipment, and construct an energy-consumption factor correlation model to obtain a set of fuzzy preliminary elements; S2. According to the set of fuzzy preparatory elements of green building energy consumption, determine the elastic constraint conditions, and construct an energy-saving optimization model at the same time; S3. Use the energy-saving optimization model to manage and control the energy-saving of green buildings, and obtain the optimal energy-saving plan. 2 . The method for optimizing energy conservation with elastic constraints in a green building according to claim 1 , wherein the step S1 comprises: Define the physical factors affecting the set P, and at the same time, classify and analyze all energy-consuming equipment and households in the green building to obtain the set S. By defining the potential relationship matrix CNT between P and S, it provides a basis for the input of subsequent model construction. 3. The method for optimizing energy conservation with elastic constraints in a green building according to claim 1, wherein the step S1 comprises: Construct the energy consumption factor correlation model Mode, as follows:

Among them, P represents the physical factor influence set

; S represents the influence set of equipment and household factors,

; CNT represents the potential relationship matrix between P and S; QP represents the weight set corresponding to the physical factor influence set,

; QS represents the weight set corresponding to the influence set of equipment and household factors,

; OUT represents the output of the model, that is, a set of fuzzy preliminary elements about the energy consumption of green buildings. 4. The method for optimizing energy conservation with elastic constraints in a green building according to claim 3, wherein the step S2 comprises: Through the preliminary operation set obtained in step S1, the elastic constraints of energy consumption are further stipulated as follows:

where A represents the constraint matrix,

; AX represents the function expression that satisfies the constraints, M represents the number of constraints; X represents the variable set that affects energy consumption,

, N represents the number of variables;

Indicates that the constraint condition is an elastic constraint; B represents the limit condition threshold of the constraint function AX,

;

represents the lowest threshold satisfied by all variables,

. 5. The method for optimizing energy conservation with elastic constraints in a green building according to claim 4, wherein the step S2 comprises: The elastic constraint energy-saving optimization model of green building is constructed as follows:

Among them, F represents the objective function set; X represents the variable set that affects energy consumption; C represents the variable corresponding coefficient matrix;

represents M constraint functions. 6. The method for optimizing energy conservation with elastic constraints in a green building according to claim 1, wherein the step S3 comprises: For the green building constrained energy-saving optimization model, when solving the optimal solution, it is regarded as solving a differential equation system, and the constraint matrix A is simplified by introducing a conjugate symmetric simplified matrix, and the optimization is calculated according to the nature of the equivalent substitution of the simplified matrix. model optimal solution

.

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