Wall structure optimization method and device, computer equipment and storage medium

Abstract

The invention provides a wall structure optimization method and device, computer equipment and a storage medium, and belongs to the field of building energy saving.The method comprises the steps that economic cost and heat conductivity coefficients of different wall structure layers in a target wall are obtained; determining the initial investment cost of the target wall according to the economic cost, and determining the operation cost of the target wall according to the heat conductivity coefficient; determining the whole life cycle cost and the net present value of the target wall body according to the initial investment cost and the operation cost; constructing an economic model of the target wall according to the net present value and the whole life cycle cost; and the wall thickness of the target wall is kept unchanged, and the thicknesses of different wall structural layers are determined according to the economic model. By comprehensively considering the initial investment cost and the operation cost of different wall structure layers in the target wall, the overall life cycle cost and the net present value of the target wall are accurately determined, and the economic model is constructed according to the life cycle cost and the net present value, so that the energy-saving performance and the economical efficiency of the target wall are greatly improved.

Description

Technical Field

[0001] The present invention belongs to the field of building energy conservation, and in particular relates to a wall structure optimization method, device, computer equipment and storage medium. Background Art

[0002] Since the 1980s, building energy conservation has been a focus of attention. There are many factors that affect building energy consumption, among which the excellent thermal insulation performance of the building's external envelope structure, especially the building's exterior wall, is a very important part. The building's exterior wall structure generally includes a wall base, an insulation layer, and a decorative layer. External wall insulation is a composite energy-saving wall composed of an insulation layer material laid on the outside of the wall base.

[0003] When designing the insulation layer of a building's exterior wall, the economic efficiency of the insulation layer needs to be considered. Therefore, the existing technology generally determines the economic thickness of the insulation layer based on the premise of the best economic efficiency of the insulation layer, and the optimization only considers the influence of the insulation layer. As a result, the overall structure of the exterior wall cannot achieve the best economic efficiency. Summary of the invention

[0004] In order to solve the above problems, the present invention provides a wall structure optimization method, device, computer equipment and storage medium.

[0005] In order to achieve the above object, the present invention provides the following technical solutions:

[0006] Firstly, a wall structure optimization method is provided, comprising:

[0007] Obtain the economic cost and thermal conductivity of different wall structural layers in the target wall;

[0008] Determine the initial investment cost of the target wall according to the economic cost, determine the operating cost of the target wall according to the thermal conductivity; determine the full life cycle cost and net present value of the target wall according to the initial investment cost and the operating cost;

[0009] constructing an economic model of the target wall based on the net present value and the life cycle cost;

[0010] The wall thickness of the target wall is kept unchanged, and the thicknesses of different wall structural layers in the target wall are determined according to the economic model.

[0011] Optionally, the economic cost includes the material and masonry cost of the wall base, the material price of the wall insulation layer, the construction cost of the wall insulation layer, and the cement mortar plastering material and masonry cost. The initial investment cost per unit area of ​​the target wall is determined by the following formula:

[0012] C=C st ·X+C in ·Y+C p +Cpl δ;

[0013] Among them, Cst represents the material and masonry cost of the wall base per unit area; X represents the thickness of the wall base; Cin represents the material unit price of the wall insulation layer; Y represents the thickness of the wall insulation layer; Cp represents the construction cost of the wall insulation layer; Cpl represents the material and masonry cost of cement mortar plastering per unit thickness; δ represents the thickness of the cement mortar plastering layer.

[0014] Optionally, the operating cost includes heating cost, and the heating cost is determined by the following formula:

[0015]

[0016] Among them, CH represents the heating cost caused by the heat consumption of the target wall per unit area; Ce represents the unit fuel price; qe represents the low calorific value of the fuel; η1 represents the heat source efficiency or the heating performance coefficient when a heat pump is used, η2 represents the pipe network transmission efficiency; Q represents the heating load; it is determined by the following formula:

[0017] Q=86.4·K·HDD18;

[0018] Among them, HDD18 represents the number of heating degree days; K represents the heat transfer coefficient of the exterior wall, which is determined by the following formula:

[0019]

[0020] Among them, λx represents the thermal conductivity of the wall base layer; λY represents the thermal conductivity of the wall insulation layer; Rt represents the thermal resistance of other wall structural layers and the heat transfer resistance of the inner and outer surfaces.

[0021] Optionally, determining the net present value of the target wall according to the initial investment cost and the operating cost includes:

[0022] Determine the reduction ΔK of the wall heat transfer coefficient according to the influence of the thermal resistance of the other wall structural layers on the thermal performance of the target wall, and then determine the heating cost saved by the target wall according to the reduction of the wall heat transfer coefficient, and then determine the net present value;

[0023] The wall heat transfer coefficient reduction ΔK is determined by the following formula:

[0024]

[0025] And the reduced heating load ΔQ is determined according to the reduced wall heat transfer coefficient:

[0026] ΔQ=86.4·ΔK·HDD18;

[0027] Then, the heating cost saved per unit area of ​​the target wall ΔCH is determined according to the reduced heating load:

[0028]

[0029] Alternatively, the life cycle cost LCC is determined according to the following formula:

[0030] LCC=P1·C H +P2·C;

[0031] Among them, P1 represents the ratio of the total energy consumption cost within the economic analysis period to the first year, and P2 represents the ratio of the total expenditure within the economic analysis period to the initial investment;

[0032] in:

[0033] P1 = PWF;

[0034] PWF is the present value factor over the life cycle, which is affected by the inflation rate, bank interest rate and insulation material life cycle factors;

[0035] in:

[0036]

[0037] D represents the percentage of initial investment down payment, Ms represents the ratio of annual maintenance cost to initial investment, Rv represents the ratio of resale price to initial investment, Ne represents the service life of building insulation materials, NL represents the loan term, Nmin represents the smaller value of Ne and NL, i represents the energy price growth rate, d represents the discount rate, and m represents the bank loan interest rate;

[0038] Determine the net present value using the following formula:

[0039] LCS=P1·ΔC H -P2·C.

[0041] Optionally, constructing an economic model of the target wall according to the net present value and the life cycle cost includes:

[0042] When the net present value is maximized, the life cycle cost is minimized. The specific formula is as follows:

[0043] Min:LCC=P1·C H +P2·C;

[0044] Max:LCS=P1·ΔC H -P2·C.

[0046] Optionally, the step of maintaining the wall thickness of the target wall unchanged and determining the thickness of different wall structural layers in the target wall according to the economic model includes:

[0047] The total thickness Constant of the wall base and wall insulation layer in the target wall is determined as:

[0048] X+Y=Constant, Constant>0;

[0049] According to the economic model and the total thickness Constant, the thickness of the wall base layer and the thickness of the wall insulation layer in the target wall are determined respectively.

[0050] Secondly, a wall structure optimization device is also provided, comprising:

[0051] An acquisition module, used for acquiring economic costs and thermal conductivity coefficients of different wall structural layers in a target wall;

[0052] A calculation module, used to determine the initial investment cost of the target wall according to the economic cost, and determine the operating cost of the target wall according to the thermal conductivity; and then determine the full life cycle cost and net present value of the target wall according to the initial investment cost and the operating cost;

[0053] A construction module, for constructing an economic model of a target wall according to the net present value and the life cycle cost;

[0054] The determination module is used to keep the wall thickness of the target wall unchanged and determine the thickness of different wall structural layers in the target wall according to the economic model.

[0055] In addition, a computer-readable storage medium is also provided, wherein the storage medium stores a computer program, and when the computer program is executed by a processor, the above-mentioned wall structure optimization method is implemented.

[0056] Finally, a computer device is also provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned wall structure optimization method when executing the program.

[0057] The wall structure optimization method provided by the present invention has the following beneficial effects:

[0058] By comprehensively considering the initial investment costs and operating costs of different wall structural layers in the target wall, the overall life cycle cost and net present value of the target wall are accurately determined, and an economic model is constructed based on the life cycle cost and net present value. While ensuring that the thickness of the target wall remains unchanged, the optimization is carried out with the goal of minimizing the life cycle cost and maximizing the net present value, which greatly improves the energy saving and economy of the target wall. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] In order to more clearly illustrate the embodiment of the present invention and its design scheme, the following briefly introduces the drawings required for this embodiment. The drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0060] Figure 1 This is a schematic diagram of a wall structure provided in accordance with an exemplary embodiment of the present application.

[0061] Figure 2 A schematic flow chart of a wall structure optimization method provided in the present application according to an exemplary embodiment.

[0062] Figure 3 A block diagram of a device for wall structure optimization provided in the present application according to an exemplary embodiment.

[0063] Figure 4 A schematic diagram of a computer device for implementing a wall structure optimization method provided in this application. DETAILED DESCRIPTION

[0064] In order to enable those skilled in the art to better understand the technical solution of the present invention and implement it, the present invention is described in detail below in conjunction with the accompanying drawings and specific embodiments. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, and cannot be used to limit the scope of protection of the present invention.

[0065] The model established in this application is a composite insulation model in which the structural layer adopts a wall base layer plus a wall insulation layer, only ignoring the cost of the decorative layer and considering the overall combined impact of the base layer and the insulation layer, thus improving the previous model and having great significance for the overall benefits of the building exterior wall.

[0066] This application uses the life cycle cost analysis method to establish an economic evaluation model for composite insulation, calculates the optimal economic thickness combination under different exterior wall thicknesses, and compares it with the external insulation model to analyze the energy-saving advantages of the composite insulation model, while providing a reference for the engineering design of the building exterior wall insulation layer.

[0067] The total cost of the building during its entire life cycle takes into account the initial investment cost and operating cost. The P1-P2 economic model can be used to conduct a comprehensive economic evaluation of the exterior wall structure. This application uses a common exterior wall structure to illustrate the exterior wall structure, which includes: cement mortar plastering + base wall + insulation layer + cement mortar plastering, as shown in the following figure. Figure 1 shown.

[0068] The technical solutions provided by various embodiments of the present application are described in detail below in conjunction with the accompanying drawings.

[0069] Figure 2A schematic diagram of a wall structure optimization method provided in this application, such as Figure 2 As shown, the following steps are included:

[0070] S201. Obtain the economic cost and thermal conductivity of different wall structural layers in the target wall.

[0071] In one embodiment, the economic cost may include the material and masonry cost of the wall base layer, the material price of the wall insulation layer, the construction cost of the wall insulation layer, and the cement mortar plastering material and masonry cost; the thermal conductivity may include the thermal conductivity of the wall base layer and the thermal conductivity of the wall insulation layer. In addition, if the target wall also includes other wall structural layers, the economic cost and thermal conductivity of the corresponding wall structural layers may also be obtained.

[0072] S202. Determine the life cycle cost and net present value of the target wall according to the economic cost and thermal conductivity.

[0073] Specifically, the initial investment cost of the target wall can be determined according to the economic cost, and the operating cost of the target wall can be determined according to the thermal conductivity; and then the full life cycle cost and net present value of the target wall can be determined according to the initial investment cost and the operating cost.

[0074] For example, the initial investment of the insulation wall is composed of the masonry cost of the wall base and the wall insulation layer cost. The initial investment cost of the target insulation wall is determined by the following formula:

[0075] C=C st ·X+C in ·Y+C p +C pl ·δ.

[0077] Among them, C st Characterizes the material and masonry cost of the wall base per unit area, yuan / m 3 ; X represents the thickness of the wall base, m; C in Indicates the unit price of the wall insulation material, yuan / m 3 ; Y represents the thickness of the wall insulation layer, m; C p Represents the construction cost of the wall insulation layer, yuan / m 2 ; C pl Characterizes the unit thickness of cement mortar plastering materials and masonry costs, yuan / m 3 ; δ represents the thickness of cement mortar plaster layer, m.

[0078] The operating cost includes heating costs, so the calculation of operating costs should take into account the relationship between the thickness of the main structural layer of the exterior wall and the insulation material and the heat transfer load of the building envelope. According to the current "Civil Building Thermal Design Code" in my country, the thermal performance of the exterior wall in cold areas should mainly meet the needs of winter insulation. The heating load can be calculated using the quasi-steady-state method, so the heat consumption per unit area of ​​the exterior wall can be calculated using the heating degree-day index method.

[0079] The heating cost can be determined by the following formula:

[0080]

[0081] Among them, C H Indicates the heating cost caused by the heat consumption of the target wall per unit area, RMB / m 2 ; C e Indicates the unit fuel price, RMB / kg (or RMB / m 3 or yuan / (kW·h)); q e Characterizes the low calorific value of the fuel, kJ / kg (kJ / m 3 or kJ / (kW·h)); η1 represents the heat source efficiency or the heat pump heating performance coefficient, η2 represents the pipe network transmission efficiency; Q represents the heating load, (kJ) / m 2 ; Determined by the following formula:

[0082] Q=86.4·K·HDD18.

[0084] Among them, HDD18 represents the heating degree days (℃·d); K represents the heat transfer coefficient of the exterior wall (W / (m 2 ℃)) is determined by the following formula:

[0085]

[0086] Among them, λ x Characterizes the thermal conductivity of the wall base, W / (m·K); λ Y Characterizes the thermal conductivity of the wall insulation layer, W / (m·K); R t Characterize the thermal resistance of other wall structural layers and the heat transfer resistance of the inner and outer surfaces, (m 2 ·℃) / W.

[0087] In addition, adding an insulation system to the exterior wall can increase the thermal resistance of the wall, improve the thermal performance of the wall structure, and achieve the purpose of energy saving. The existence of other wall structural layers can also increase the thermal resistance of the wall. Therefore, the reduction ΔK of the wall heat transfer coefficient can be determined based on the impact of the thermal resistance of other wall structural layers on the thermal performance of the target wall, and then the heating cost savings of the target wall can be determined based on the reduction in the wall heat transfer coefficient, and then the net present value can be determined.

[0088] The wall heat transfer coefficient reduction ΔK is determined by the following formula:

[0089]

[0090] And the reduced heating load ΔQ is determined based on the reduction in the wall heat transfer coefficient:

[0091] ΔQ=86.4·ΔK·HDD18.

[0093] Then, the heating cost saved per unit area of ​​the target wall is determined according to the reduced heating load. H :

[0094]

[0095] S203: construct an economic model of the target wall according to the net present value and the life cycle cost.

[0096] During the life cycle, the life cycle cost LCC is the sum of the present value of the wall structure construction cost and the annual operating cost; the net present value LCS is the difference between the present value of the heating cost saved by adding an insulation layer to the wall structure and the present value of the construction cost. Therefore, the life cycle cost LCC can be determined according to the following formula:

[0097] LCC=P1·C H +P2·C.

[0099] Among them, P1 represents the ratio of the total energy consumption cost within the economic analysis period to the first year, and P2 represents the ratio of the total expenditure within the economic analysis period to the initial investment;

[0100] P1 is determined by the following formula:

[0101] P1=PWF.

[0103] PWF is the present value factor over the life cycle, which is affected by the inflation rate, bank interest rate and insulation material life cycle factors;

[0104] P2 is determined by the following formula:

[0105]

[0106] D represents the initial investment down payment percentage, M s Represents the ratio of annual maintenance cost to initial investment, R v Represents the ratio of resale price to initial investment, N e Characterizes the service life of building insulation materials, N L Represents the loan term, N min Characterization of Ne and NL The smaller value in, i represents the energy price growth rate, d represents the discount rate, and m represents the bank loan interest rate;

[0107] Determine the net present value using the following formula:

[0108] LCS=P1·ΔC H -P2·C.

[0110] Although improving the thermal insulation performance of the exterior wall can reduce the energy consumption of building heating, it will also increase the construction cost. Therefore, the optimal combination of the exterior wall structure should be the one with the lowest sum of energy consumption and thermal insulation system construction cost, that is, the one with the lowest life cycle cost or the highest net present value. Therefore, the objective function of the optimization model is as follows:

[0111] Min:LCC=P1·C H +P2·C.

[0113] Max:LCS=P1·ΔC H -P2·C.

[0115] S204: Keeping the wall thickness of the target wall unchanged, the thickness of different wall structural layers in the target wall is determined according to the economic model.

[0116] In the process of wall design and manufacturing, in order to reduce the space occupied by the wall and increase the usable area of ​​the building, the comprehensive economic efficiency of the building must be considered, and there are certain requirements for the total thickness of the wall. The optimal structure of the wall should be a structural combination that satisfies the minimum LCC or the maximum LCS under the condition of a certain thickness. Therefore, the constraints of the optimization model are:

[0117] X+Y=Constant, Constant>0.

[0118] Among them, Constant is the total thickness of the wall base and the wall insulation layer in the target wall. According to the economic model and the total thickness Constant, the thickness of the wall base and the thickness of the wall insulation layer in the target wall are determined respectively. The details are as follows:

[0119] Solving the optimization model is actually an extreme value problem of a binary function, which can be solved using the Lagrange multiplier method. Based on the objective function and constraints mentioned above, auxiliary functions L1(X, Y, μ) and L2(X, Y, μ) are established:

[0120] L1(X,Y,μ)=P1·C H +P2·C+μ(X+Y-Constant).

[0122] L2(X,Y,μ)=P1·ΔC H -P2·C+μ(X+Y-Constant).

[0123] The condition for a multivariate function to achieve an extreme value is that the partial derivative of each component is 0. Therefore, the point where the partial derivatives of the three components X, Y, and μ are calculated and made zero is the optimal structural combination of the wall.

[0124] It can be solved as follows:

[0125]

[0126] X=Constant-Y.

[0128] In addition, when the extreme point is obtained, the sum of the thermal resistance values ​​of the base wall and the insulation layer is Substituting the above formula into the equation, we can get:

[0129]

[0130] It can be seen that the total thermal resistance of the wall of the optimal structural combination has nothing to do with the sum of the thickness of the base wall and the insulation layer. This also shows that the heating cost caused by the heat consumption per unit area of ​​the exterior wall is certain, that is, the operating cost is a constant.

[0131] By adopting the above method, the initial investment cost and operating cost of different wall structural layers in the target wall are comprehensively considered, and the overall life cycle cost and net present value of the target wall are accurately determined. An economic model is constructed based on the life cycle cost and net present value. While ensuring that the thickness of the target wall remains unchanged, the optimization is carried out with the goal of minimizing the life cycle cost and maximizing the net present value, which greatly improves the economy of the target wall.

[0132] In order to further illustrate the present solution, the present application also provides an embodiment for illustration.

[0133] The following is an example of a building in Beijing in a cold region to calculate the best combination of exterior wall structures. The wall structure adopts the common 20mm thick cement mortar plastering + aerated concrete blocks + insulation board + 5mm thick cement mortar plastering structure.

[0134] Among them, the base wall adopts sand aerated blocks commonly used in exterior walls, which have outstanding advantages in thermal insulation, compressive strength, and anti-freezing performance. The thermal conductivity coefficient λ X =0.22W / (m·K); The insulation layer uses the commonly used extruded polystyrene (XPS) board as the external wall insulation material, and the thermal conductivity coefficient is λ Y =0.03W / (m·K); Thermal resistance of other structural layers of the wall R t =0.177(m 2·K) / W; specifically, the PWF values ​​are shown in Table 1 below, and the relevant economic indicators are shown in Table 2 below.

[0135] Table 1 PWF values

[0136]

[0137] Table 2 Related economic indicators

[0138] name unit Numeric name unit Numeric Heating degree days HDD18 ℃·d 2470 <![CDATA[P2]]> / 1 <![CDATA[Sand aerated block materials and construction unit price C gt > <![CDATA[Yuan / m 3 > 535 <![CDATA[Unit price of cement mortar C pl > <![CDATA[Yuan / m 3 > 300 <![CDATA[Unit price C of thermal insulation layer material in > <![CDATA[Yuan / m 3 > 990 <![CDATA[Insulation layer construction cost C p > <![CDATA[Yuan / m 2 > 33

[0139] In order to compare the impact of different energy forms on the optimal structural combination, this application also calculates the heating systems of three heat source types: coal-fired boilers, gas boilers and ground source heat pumps. The main parameters are shown in Table 3 below.

[0140] Table 3 Main parameters of three types of heat sources

[0141] Heat source form <![CDATA[q e ]]> <![CDATA[η1]]> <![CDATA[η2]]> <![CDATA[C e ]]> Coal-fired boiler 29307kJ / kg 0.9 0.92 714 yuan / t Gas boiler <![CDATA[35600kJ / m 3 ]]> 1.02 0.92 <![CDATA[2.4 yuan / m 3 > Ground Source Heat Pump 3600kJ / (kW·h) 3 1 0.58 yuan / (kW·h)

[0142] In addition, considering the actual application, the total thickness Constant of the wall base and wall insulation layer in the constraint conditions in the above formula is taken as 150mm~500mm, and the optimal structural combination thickness of the wall, the full life cycle cost and the net present value are calculated respectively. The calculation results are shown in Table 4 below.

[0143] Table 4 Calculation results of optimal wall structural combination thickness, life cycle cost and net present value

[0144]

[0145]

[0146] The table data can be used to determine the optimal structural combination thickness and the corresponding life cycle cost and net present value under a given total thickness of the base wall and insulation layer.

[0147] In addition, it can be found that the economic insulation layer thickness, full-cycle cost and net present value trends of the three different heat source forms are basically the same. With the increase of the total thickness of the base wall and the insulation layer, the X value and LCC value of the optimal structural combination increase, and the Y value and LCS value decrease. Therefore, the total thickness cannot be too large, which will increase consumption costs and reduce savings, which is not conducive to energy saving.

[0148] The embodiment adopted in the present application is to comprehensively consider the base layer and the insulation layer, and solve the optimal combined thickness of the two under a certain total thickness of the wall. The external insulation model of the wall generally first gives the structural layer material, thickness, etc., and only considers the economic thickness of the external insulation layer. The calculation method is as follows:

[0149]

[0150]

[0151] Wherein, A is the thickness of the structural layer, which is a preset constant.

[0152] The derivative of the above formula is equal to zero, and the obtained Y value is the economic thickness of the insulation layer.

[0153]

[0154] Still taking Beijing as an example, the external insulation model and the composite insulation model both use the same wall structure as above. The specific steps are: given the thickness of the aerated concrete block, first use the external insulation model to solve the economic thickness, life cycle cost and net present value of the external insulation layer, and then use the sum of the two as the constraint condition of the composite insulation model, that is, the sum of the thickness of the two is determined to be unchanged, so as to solve the relevant values ​​of the composite insulation model. The specific results are shown in Table 5 below.

[0155] Table 5 Related values ​​of composite insulation model

[0156]

[0157]

[0158] It can be seen from Table 5 above that when the sum of the thickness of the wall base and the insulation layer is the same, compared with the traditional external insulation model, the economic evaluation model of the composite insulation model in the technical solution proposed in this application has certain economic advantages. It can be clearly seen that the full life cycle cost is smaller and the net present value is greater. The wall base also uses the same blocks. When the sum of the thickness of the wall base and the wall insulation layer is the same, compared with the external insulation model, the average life cycle cost savings of the three energy forms of the composite insulation model are 1.79%, 2.08%, and 1.93%, respectively. This shows that comprehensive consideration of the wall base and the insulation layer has certain economic advantages. When the thickness of the base wall is very large, the calculated thickness of the insulation layer appears negative, indicating that at this time, insulation will reduce the economy of the composite energy-saving wall.

[0159] Based on the same inventive concept, the present invention also provides a device for optimizing wall structure, such as Figure 3 As shown, the device comprises:

[0160] An acquisition module 301 is used to acquire the economic cost and thermal conductivity of different wall structural layers in the target wall;

[0161] A calculation module 302 is used to determine the initial investment cost of the target wall according to the economic cost, and determine the operating cost of the target wall according to the thermal conductivity; and then determine the full life cycle cost and net present value of the target wall according to the initial investment cost and the operating cost;

[0162] A construction module 303 is used to construct an economic model of the target wall according to the net present value and the life cycle cost;

[0163] The determination module 304 is used to keep the wall thickness of the target wall unchanged and determine the thickness of different wall structural layers in the target wall according to the economic model.

[0164] By adopting the above-mentioned device, the initial investment cost and operating cost of different wall structural layers in the target wall are comprehensively considered, and then the overall life cycle cost and net present value of the target wall are accurately determined, and an economic model is constructed based on the life cycle cost and net present value. While ensuring that the thickness of the target wall remains unchanged, the optimization is carried out with the minimum life cycle cost and the maximum net present value as the goals, which greatly improves the energy saving and economy of the target wall.

[0165] This specification also provides a computer-readable storage medium, which stores a computer program, which can be used to execute the above Figure 2 A wall structure optimization method is provided.

[0166] This manual also provides Figure 4 Computer equipment such as Figure 4 As shown in the figure, at the hardware level, the computer device includes a processor, an internal bus, a network interface, a memory, and a non-volatile memory, and may also include other hardware required for the business. The processor reads the corresponding computer program from the non-volatile memory into the memory and then runs it to achieve the above Figure 2 A wall structure optimization method is provided.

[0167] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0168] The present invention is described with reference to flowcharts and / or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as a combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0169] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0170] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0171] It should be noted that the above specific implementation method can enable those skilled in the art to more fully understand the invention, but does not limit the invention in any way. Therefore, although the present specification and embodiments have described the invention in detail, those skilled in the art should understand that the invention can still be modified or replaced by equivalents; and all technical solutions and improvements that do not deviate from the spirit and scope of the invention are included in the protection scope of the patent for the invention. Any figure mark in the claims should not be regarded as limiting the claims involved.

Claims

1. A wall structure optimization method, characterized in that: include: Obtain the economic cost and thermal conductivity of different wall structural layers in the target wall; Determine the initial investment cost of the target wall according to the economic cost, determine the operating cost of the target wall according to the thermal conductivity; determine the full life cycle cost and net present value of the target wall according to the initial investment cost and the operating cost; constructing an economic model of the target wall based on the net present value and the life cycle cost; The wall thickness of the target wall is kept unchanged, and the thicknesses of different wall structural layers in the target wall are determined according to the economic model.

2. The wall structure optimization method according to claim 1, characterized in that: The economic cost includes the material and masonry cost of the wall base, the material price of the wall insulation layer, the construction cost of the wall insulation layer, and the cement mortar plastering material and masonry cost. The initial investment cost per unit area of ​​the target wall is determined by the following formula: C=C st ·X+C in ·Y+C p +C pl ·δ; Among them, C st Indicates the material and masonry cost of the wall base per unit area; X indicates the thickness of the wall base; C in Indicates the unit price of the wall insulation material; Y indicates the thickness of the wall insulation layer; C p Characterizes the construction cost of the wall insulation layer; C pl Characterizes the unit thickness of cement mortar plastering materials and masonry costs; δ characterizes the thickness of cement mortar plastering layer.

3. The method according to claim 2, characterized in that The operating cost includes heating cost, which is determined by the following formula: Among them, C H Characterizes the heating cost caused by the heat consumption of the target wall per unit area; C e Represents the unit fuel price; q e Characterizes the low calorific value of the fuel; η1 characterizes the heat source efficiency or the heating performance coefficient when a heat pump is used; η2 characterizes the pipe network transmission efficiency; Q characterizes the heating load; determined by the following formula: Q=86.4·K·HDD18; Among them, HDD18 represents the number of heating degree days; K represents the heat transfer coefficient of the exterior wall, which is determined by the following formula: Among them, λ x Characterizes the thermal conductivity of the wall base; λ Y Characterizes the thermal conductivity of the wall insulation layer; R t Characterize the thermal resistance of other wall structural layers and the heat transfer resistance of internal and external surfaces.

4. The method according to claim 3, characterized in that Determining the net present value of the target wall based on the initial investment cost and operating cost includes: Determine the reduction ΔK of the wall heat transfer coefficient according to the influence of the thermal resistance of the other wall structural layers on the thermal performance of the target wall, and then determine the heating cost saved by the target wall according to the reduction of the wall heat transfer coefficient, and then determine the net present value; The wall heat transfer coefficient reduction ΔK is determined by the following formula: And the reduced heating load ΔQ is determined according to the reduced wall heat transfer coefficient: ΔQ=86.4·ΔK·HDD18; Then, the heating cost saved per unit area of ​​the target wall is determined according to the reduced heating load. H :

5. The method according to claim 4, characterized in that The life cycle cost LCC is determined according to the following formula: LCC=P1·C H +P2·C; Among them, P1 represents the ratio of the total energy consumption cost within the economic analysis period to the first year, and P2 represents the ratio of the total expenditure within the economic analysis period to the initial investment; in: P1 = PWF; PWF is the present value factor over the life cycle, which is affected by the inflation rate, bank interest rate and insulation material life cycle factors; in: D represents the initial investment down payment percentage, M s Represents the ratio of annual maintenance cost to initial investment, R v Represents the ratio of resale price to initial investment, N e Characterizes the service life of building insulation materials, N L Represents the loan term, N min Characterization of Ne and N L The smaller value in, i represents the energy price growth rate, d represents the discount rate, and m represents the bank loan interest rate; Determine the net present value using the following formula: LCS=P1·ΔC H -P2·C。 6. The method according to claim 5, characterized in that The economic model for constructing the target wall based on the net present value and life cycle cost includes: When the net present value is maximized, the life cycle cost is minimized. The specific formula is as follows: Min:LCC=P1·C H +P2·C; Max:LCS=P1·ΔC H -P2·C。 7. The method according to claim 6, characterized in that The step of maintaining the wall thickness of the target wall unchanged and determining the thickness of different wall structural layers in the target wall according to the economic model comprises: The total thickness Constant of the wall base and wall insulation layer in the target wall is determined as: X+Y=Constant, Constant>0; According to the economic model and the total thickness Constant, the thickness of the wall base layer and the thickness of the wall insulation layer in the target wall are determined respectively.

8. A wall structure optimization device, characterized in that: include: An acquisition module, used for acquiring economic costs and thermal conductivity coefficients of different wall structural layers in a target wall; A calculation module, used to determine the initial investment cost of the target wall according to the economic cost, and determine the operating cost of the target wall according to the thermal conductivity; and then determine the full life cycle cost and net present value of the target wall according to the initial investment cost and the operating cost; A construction module, for constructing an economic model of a target wall according to the net present value and the life cycle cost; The determination module is used to keep the wall thickness of the target wall unchanged and determine the thickness of different wall structural layers in the target wall according to the economic model.

9. A computer-readable storage medium, characterized in that: The storage medium stores a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

10. A computer device, characterized in that: The method comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the method described in any one of claims 1 to 7 is implemented.

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