A method for coupled optimization of the performance and power generation efficiency of louvered structures in renewable energy generation

Abstract

This invention provides a method for coupled optimization of the structural performance and power generation efficiency of renewable energy power generation louvers. The method includes inputting design parameters; building a parametric geometric model of the renewable energy power generation louver; evaluating structural performance; calculating the annual power generation of the renewable energy power generation louver; performing coupled optimization of structural performance and power generation efficiency; and visualizing the optimization results. This invention integrates the structural design and power generation calculation of renewable energy power generation louver columns, and constructs a fully automated workflow for modeling, calculation, optimization, and visualization result screening of renewable energy power generation louvers. This allows engineers to efficiently determine the economical and reliable cross-section of renewable energy power generation louver columns without relying on manual experience and adjustments, thereby significantly improving the deployment and design efficiency of this type of product.

Description

Technical Field

[0001] This invention relates to the field of renewable energy power generation louver technology, and in particular to a method for coupling optimization of the structural performance and power generation efficiency of renewable energy power generation louvers. Background Technology

[0002] Driven by the "dual-carbon" strategic goal, fully utilizing renewable energy throughout the entire building lifecycle has become an inevitable trend in the industry. In recent years, with continuous breakthroughs in photovoltaic module power generation and increased policy support, renewable energy power generation louver systems have emerged. For example... Figure 1-2 As shown, the mainstream renewable energy power generation louvers currently consist of two main parts: an aluminum alloy support column and the power generation louvers themselves. These two parts are reliably connected by U-shaped fasteners. The power generation louvers themselves employ a sandwich-style composite structure: the top layer is a tempered glass protective layer, the middle layer is the photovoltaic power generation module, and the bottom layer also uses tempered glass as a protective substrate. This multi-layered composite structure ensures both the structural strength of the system and effectively protects the core photovoltaic modules.

[0003] In practical engineering applications, the design of renewable energy power generation louvers is typically led by the curtain wall professionals of architectural design institutes. Engineers use Howock curtain wall engineering software to design the column cross-section based on the project site's load conditions and the specifications of the photovoltaic power generation louvers provided by the photovoltaic manufacturer, ensuring the overall structural stability under wind loads, seismic loads, and their own weight. The total power generation of the renewable energy power generation louvers is calculated by the photovoltaic manufacturer using software such as Green Building Swell. However, this independent design approach neglects the issue of column shadows obstructing the louvers' light reception, often resulting in severe shading of the photovoltaic system during actual deployment, leading to low overall power generation efficiency. Furthermore, due to the lifelong responsibility system for structural design, designers tend to design larger and more conservative column cross-sections, further exacerbating the negative impact of the columns on the power generation efficiency of the louvers. Simultaneously, excessive structural performance also results in a waste of aluminum alloy profile materials. How to scientifically and efficiently balance the mechanical properties of the column profile section, the amount of column profile engineering, and the negative impact of its shadow on renewable energy power generation louvers, in order to improve its power generation efficiency and reduce the overall cost, has become an urgent problem to be solved in the practical application and promotion of this product.

[0004] Currently, the Howok curtain wall engineering software used in China for designing louvered column structures for renewable energy power generation can verify the mechanical properties of column sections under corresponding load conditions, but its design process heavily relies on the subjective experience of engineers. Engineers typically need to enumerate multiple sections (including dimensions such as length, width, and wall thickness) based on their engineering experience for trial calculations and manually select the scheme that meets the mechanical structural requirements and has good cross-sectional economy (i.e., minimizes the amount of aluminum alloy profile material required while meeting mechanical performance requirements). However, this design method has the following problems: low design efficiency, and the engineering quantity indicators of the design results are often subjective optimal solutions rather than globally objective optimal solutions. This leads to low structural efficiency in the design results and waste of materials.

[0005] Currently, domestic software such as PKPM and Green Building Swell can calculate the annual power generation of renewable energy louvers under column shading conditions. However, due to the lack of effective interaction between these software programs and Howock curtain wall engineering design software, users often hesitate to adjust the column cross-section to reduce its shading of the louver's light-receiving surface, fearing that reducing the cross-section size will affect structural safety. This limitation makes it difficult to implement measures to improve the louver's light-receiving surface shading problem by optimizing the column cross-section, thereby increasing photovoltaic power generation efficiency. Summary of the Invention

[0006] (a) Technical problems to be solved

[0007] Based on this, the present invention provides a method for coupled optimization of the performance and power generation efficiency of renewable energy power generation louver structures, in order to solve the problems in the background technology that, due to the lack of integration of structural performance assessment and power generation efficiency optimization, the power generation efficiency is low and the profile material is wasted in actual engineering deployments due to the lack of dynamic performance verification and system tuning capabilities.

[0008] (II) Technical Solution

[0009] To achieve the above objectives, this invention provides a method for coupled optimization of the performance and power generation efficiency of renewable energy power generation louver structures, comprising:

[0010] S1: Input design parameter information, including the geometric variables and load conditions of the renewable energy power generation louvers;

[0011] The geometric variables include the total product height H. v The product's total width W, number of louvers n, spacing between adjacent louvers D, louver width w, louver angle a, column cross-section width wcl_w, column cross-section length wcl_l, column cross-section wall thickness wcl_d, and louver tempered glass thickness t;

[0012] The load conditions include: the type of deployment point, the calculation height z, the basic wind pressure w0, and the dynamic amplification factor β.E Average self-weight of curtain wall components G AK And horizontal earthquake influence coefficient a maxii ;

[0013] S2: Based on the aforementioned geometric variables, construct a parameterized geometric model of the renewable energy power generation louver;

[0014] S3: Based on the aforementioned design parameter information, perform structural performance evaluation; specifically including:

[0015] S301: Based on the total product height H v Calculate the standard value of wind load W for renewable energy power generation louvered columns, taking into account the total width W of the product, the number of louvers n, the type of deployment point, the calculation height z, and the basic wind pressure w0. k ;

[0016] S302: Based on the total width W of the product and the number of louvers n, obtain the single renewable energy power generation louver partition width B; based on the single renewable energy power generation louver partition width B and the standard value of column wind load W... k Calculate the design value q of the maximum load intensity of the wind load line distribution on the louvered column for renewable energy power generation. w ;

[0017] S303: Based on the average self-weight G of the curtain wall components AK Horizontal earthquake influence coefficient a maxii Calculate the design value q of horizontal seismic action for the distribution of the renewable energy power generation louver columns, based on the louver width B and the louver spacing of a single renewable energy power generation louver. e ;

[0018] S304: Design value of maximum load intensity q based on the aforementioned column wind load line distribution w Design value of horizontal seismic action q for column distribution e Calculate the design value q of the combined load of the louvered column for renewable energy power generation;

[0019] S305: Based on the total product height H v Calculate the bending moment M of the louvered column for renewable energy power generation based on the design value q of the combined load of the column and the column. w ;

[0020] S306: Based on the column cross-sectional width wcl_w, column cross-sectional length wcl_l, and column cross-sectional wall thickness wcl_d, calculate the profile characteristics of the renewable energy power generation louver column cross-section, including the profile cross-sectional area A and the column cross-sectional X-axis moment of inertia I. x , Column cross-section Y-axis moment of inertia I y Column section X-axis modulus W x Column section Y-axis section modulus W y and column cross-sectional area moment Ss ;

[0021] S307: Conduct a bending strength performance evaluation of louvered columns for renewable energy power generation;

[0022] The calculated strength value f of the column is obtained according to the following formula:

[0023]

[0024] Among them, the self-weight line load G of the photovoltaic shading louvers K =G AK ×B, the width of the louvered partition for a single renewable energy power generation unit is B = W / n;

[0025] If f≤f a The first Boolean value BL1 will be output as 1 if the condition is not met, and 0 otherwise. a The design value of bending strength of the column profile given in the "Technical Specification for Glass Curtain Wall Engineering";

[0026] S308: Conduct stiffness performance evaluation of louvered columns for renewable energy power generation;

[0027] S309: Conduct shear performance evaluation of louvered columns for renewable energy power generation;

[0028] S310: Based on the total product height H v Calculate the quantity V of the louvered column for renewable energy power generation based on the number of louvers n and the cross-sectional area A of the material. a ;

[0029] S311: Conduct a performance evaluation of the louvered column structure for renewable energy power generation;

[0030] S4: Calculate the annual power generation of the renewable energy power generation louvers based on the parametric geometric model of the renewable energy power generation louvers;

[0031] S5: Perform optimization by coupling structural performance with power generation efficiency.

[0032] Preferably, Grasshopper is the platform used to build the parametric geometric model of the renewable energy power generation louvers.

[0033] Preferably, in S308, the maximum deflection U of the column is calculated according to the following formula. max :

[0034]

[0035] If U max ≤20∧U max ≤D fmaxIf true, the output of the second Boolean value BL2 is 1; otherwise, the output of the second Boolean value BL2 is 0; where the maximum allowable deflection of the column is D. fmax =1000×H v / 180.

[0036] Preferably, in S309, the column shear stress τ is calculated according to the following formula:

[0037]

[0038] Among them, the shear force on the column is Q = q × H v / 2;

[0039] If τ≤[τ], the third Boolean value BL3 will be 1; otherwise, the third Boolean value BL3 will be 0. [τ] is the design value of shear strength of the column profile given in the "Technical Specification for Glass Curtain Wall Engineering".

[0040] Preferably, in S311, the first Boolean value, the second Boolean value, and the third Boolean value are multiplied together. If the result of the multiplication is 1, it indicates that the performance of the column structure meets the standard, and the influence coefficient μ is set to 0.1; if the result of the multiplication is 0, it indicates that the performance of the column structure does not meet the standard, and the influence coefficient μ is set to 0.001.

[0041] Set the structural performance fitness function To achieve the integration of two optimization objectives: the cross-sectional engineering quantity and mechanical performance of the louvered column for renewable energy power generation.

[0042] Preferably, S4 specifically includes:

[0043] S401: Calculate the optimal deployment angle for renewable energy generation louvers;

[0044] S402: Calculate the annual power generation of the renewable energy power generation louvers;

[0045] The optimal deployment angle of the renewable energy power generation louver in S401 is taken as the louver angle a in S2 to obtain the renewable energy power generation louver model with the optimal deployment angle, and the annual power generation of the renewable energy power generation louver at the deployment point is calculated.

[0046] Preferably, S5 specifically includes:

[0047] S501: Call the Wallacei multi-objective optimization calculator in Grasshopper software to generate optimization results of coupled optimization of structural performance and power generation efficiency;

[0048] During the optimization process, the Generation Count of the Wallacei multi-objective optimization operator was set to 30, and the Generation Size was set to 25.

[0049] S502: Visualize the optimization results.

[0050] (III) Beneficial Effects

[0051] As can be seen from the above technical solution, the beneficial effects of the proposed method for coupling optimization of the performance and power generation efficiency of renewable energy power generation louver structures are as follows:

[0052] 1. It integrates the two relatively scattered design processes of renewable energy power generation louver column structure design and power generation calculation in the existing technology, and combines them to build a fully automated workflow for modeling, calculation, optimization and visualization result screening of renewable energy power generation louvers. This enables engineers to efficiently determine the cross-section of economical and reliable renewable energy power generation louver columns without relying on human experience and manual debugging, thereby significantly improving the deployment and design efficiency of this type of product.

[0053] 2. Based on the genetic algorithm built into the Wallacei operator in Grasshopper, the efficiency target of the renewable energy power generation louver structure is automatically optimized globally. The result achieves optimal results with minimal light shading and the lowest total engineering cost while meeting structural safety requirements. Compared with existing technologies that rely on manual adjustments to obtain locally optimal column cross-section specifications, this technology, through global optimization, is closer to the true optimal solution. This effectively saves on the amount of aluminum alloy profiles used in the columns, improves the structural efficiency of the design and deployment scheme, avoids material waste caused by structural performance redundancy, and improves the overall economic efficiency of the deployment scheme.

[0054] 3. In existing technologies, the design and power generation calculation of louvered column structures for renewable energy power generation are evaluated by different entities using their respective software interfaces. This leads to manufacturers often not proactively adjusting the column cross-sectional specifications to optimize the deployment scheme when considering shading for power generation efficiency. However, this invention, through the automated global optimization path established by Grasshopper, not only ensures structural safety but also effectively optimizes and reduces the shading of the column shape on the light-receiving surface of the louvers, thereby improving power generation efficiency in practical applications. Attached Figure Description

[0055] The features and advantages of the invention will be more clearly understood by referring to the accompanying drawings, which are schematic and should not be construed as limiting the invention in any way. In the drawings:

[0056] Figure 1 This is a schematic diagram of a renewable energy power generation louver structure in the background art of this invention;

[0057] Figure 2 This is a real-life image of the renewable energy power generation louvers in a building, as described in the background of this invention.

[0058] Figure 3 This is a schematic diagram of the parametric geometric model of the renewable energy power generation louver of the present invention;

[0059] Figure 4 This is a schematic diagram of the renewable energy power generation louver structure performance evaluation module of the present invention;

[0060] Figure 5 This is a visualization interface diagram of the optimization results of the renewable energy power generation louvers in this invention. Detailed Implementation

[0061] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0062] This invention provides a method for coupled optimization of the performance of renewable energy power generation louver structures and power generation efficiency, comprising:

[0063] S1: Input design parameter information, including the geometric variables and load conditions of the renewable energy power generation louvers;

[0064] (1) Geometric variables: Based on the shape characteristics of mainstream renewable energy power generation louver products, the control variables (i.e. geometric variables) of its parametric geometric model can be summarized as the total height H of the product. v The following geometric variables are input ports: total product width W, number of louvers n, spacing between adjacent louvers D, louver width w, louver angle a, column cross-section width wcl_w, column cross-section length wcl_l, column cross-section wall thickness wcl_d, and louver tempered glass thickness t; these are generated using the number slider operator in Grasshopper.

[0065] (2) Wind load conditions at the deployment point: including the type of renewable energy power generation louver deployment point, calculation height z, basic wind pressure w0, and dynamic amplification factor β. E The Value List operator is called to construct a selection panel for four types of deployment points: A, B, C, and D. The deployment point types are determined according to the ground roughness type in the "Code for Design of Building Structures" GB50009-2012. The number slider operator in Grasshopper is used to form the input port for other wind load condition variables.

[0066] (3) Horizontal seismic action conditions at the deployment point: The average self-weight G of the renewable energy power generation louver curtain wall components is generated by the number slider operator in Grasshopper. AK The input port; constructing the horizontal seismic influence coefficient 'a' corresponding to different seismic fortification intensities using the valuelist operator in Grasshopper. maxii Input port.

[0067] S2: Based on the aforementioned geometric variables, construct a parameterized geometric model of the renewable energy power generation louver;

[0068] The physical renewable energy power generation louver consists of a column, power generation louvers, and U-shaped fasteners for connecting the two. Therefore, when creating its parametric geometric model using the Grasshopper calculator, this method will follow the physical structure and create separate models for the column, louvers, and U-shaped fasteners. Specifically, this includes:

[0069] Step 1: Call the Line SDL operator to access the total width W of the product and generate the model center positioning line. The endpoints of the center positioning line are the positioning points of the center projection of the first and last columns of the final model. The actual total width of the final model is W' = W + wcl_w.

[0070] Step 2: Call Divide Curve to divide the center positioning lines of the n louvered sections, obtaining n+1 column center positioning points and n initial positioning lines for the louvers; sequentially call Construct Domain, Rectangle, and Offset Curve operators, and connect wcl_w, wcl_l, and wcl_d to generate the cross-section of the renewable energy power generation louvered column, and match the cross-section model with the total product height H. v They are all connected to the Extrude processor to obtain the geometric model of the column.

[0071] Step 3: Call the Expression calculator and input the data of the spacing D between adjacent louvers and the louver width w. Enter the formula n' = (H) into the calculator. v-wcl_w) / D calculates the number of louvers n' per louver; the Series operator is called to generate an arithmetic sequence with an initial value of 0.5wcl_w, an interpolation value of the vertical spacing D of the louvers, and a quantity of n', and this sequence is connected to the Moves operator. The initial positioning lines of the louvers obtained in step 2 are projected and copied according to the arithmetic sequence values ​​to obtain positioning lines of n×n' louvers; the Rectangle operator is called to generate the outer contour lines of the louvers based on the positioning lines, and this contour line and the tempered glass thickness t value are connected to the Extrude operator to obtain the upper half of the tempered glass geometric model of the louvers. The Mirror operator is then used to mirror the lower half of the tempered glass geometric model based on the XY plane of the midpoint of the positioning lines. The gap between the upper and lower glass is the set photovoltaic power generation module model. Thus, the renewable energy power generation louver model is obtained.

[0072] Step 4: Use the End Points operator to find the starting point of the louver positioning line in Step 3. Use the Extrude operator to stretch the positioning line into a surface along the Z-axis vector. Use the Plane Origin operator to adjust the position of this surface so that its geometric center overlaps with the starting point of the louver positioning line. Using this surface as the working reference plane, use the Rectangle operator to generate the outer rectangle of the U-shaped fastener cross-section profile. Use the Offset Curve operator to offset inward to generate the rectangle of the concave part of the U-shaped fastener. Use the Move operator to misalign the inner and outer rectangles. Use the Region Difference operator to find the Boolean difference set of the inner and outer rectangles, which is the cross-section profile of the U-shaped fastener. Finally, use the Loft operator to obtain the geometric model of the U-shaped fastener.

[0073] Step 5: Call the Merge operator to merge the geometric model of the photovoltaic louver and the geometric model of the U-shaped fastener. Using the louver positioning line from Step 3 as the axis, input the louver angle 'a' data to the Rotate operator to rotate the louver model. Call the Merge operator again to integrate the column model with the rotated louver and U-shaped fastener models to obtain the final parametric geometric model of the renewable energy power generation louver, as shown below. Figure 3 As shown.

[0074] S3: Conduct structural performance assessment; such as Figure 4 As shown, it specifically includes:

[0075] S301: Calculate the standard value W of wind load on louvered columns for renewable energy generation. k ;

[0076] With the peak factor g set to 2.5 for all deployment point types, the instantaneous wind pressure gust coefficient β, adapted to the corresponding ground roughness type, is entered into the Expression calculator based on the deployment point type and calculation height z.gz and the wind pressure height variation coefficient μ z Calculation formula:

[0077] For Class A deployment points

[0078] For Class B deployment points

[0079] For Class C deployment points

[0080] For Class D deployment points

[0081] For columns, it is necessary to consider the subordinate area A. v The numerical range is used to determine the local body size coefficient μ. savz : The total height H of the product v The total width W of the product and the number of louvers n are entered into the system. The expression calculator of the formula calculates the dependent area A. v Value; the Panel, Include, and CullPattern operators are called sequentially to perform operations on A. v Automatic numerical determination: When A v μ is present when ∈(0,1]. savz =1, when A v ∈(1,25) has When A v When ∈[25,∞], μ exists savz =0.8.

[0082] For columns, there is a simplified formula for calculating the standard value of wind load W. kvp =β gz ×μ z ×μ savz ×w0, calls the Larger than and Pick's Choose operators to output W. kvp The larger value between 1 and 2 is taken as the final standard value of wind load W on the column. k .

[0083] S302: Calculate the design value q of the maximum load intensity of the wind load line distribution on the louvered column of renewable energy power generation. w ;

[0084] The division calculator is invoked, taking into account the total product width W and the number of louvers n. The single renewable energy power generation louver division width B = W / n is calculated. B is then compared with the standard wind load value W. k Data is jointly accessed and entered into q wk =W kThe Expression calculator of the ×B formula obtains the standard value q of the maximum load intensity of the wind load line distribution on the louvered column for renewable energy power generation. wk With a partial factor of 1.5 for wind load, the design value of the maximum load intensity q of the wind load line distribution is... w =1.5×q wk .

[0085] S303: Calculate the design value q for horizontal seismic action on the distribution of louvered columns for renewable energy power generation. e ;

[0086] a maxii G AK Access input has q EAK =5×a maxii ×G AK The Expression calculator calculates the standard value q of the horizontal seismic action on the distribution of renewable energy power generation louver deployment points. EAK With a partial factor of 1.4 for seismic action, the design value q for horizontal seismic action of the louvered columns for renewable energy power generation is given. e =1.4×q EAK ×B.

[0087] S304: Calculate the design value q of the combined load on the louvered column for renewable energy power generation;

[0088] q w q e The formula q = q is entered into the input process. w +0.5×q e The Expression calculator obtains the design value q of the combined load of the renewable energy power generation louvered column.

[0089] S305: Calculate the bending moment M of the louvered column for renewable energy power generation w ;

[0090] H v , q are used together to input formulas The Expression calculator is used to calculate the bending moment M of the louvered column for renewable energy power generation. w .

[0091] S306: Calculate the cross-sectional profile characteristics of louvered columns for renewable energy power generation;

[0092] By inputting the column cross-section width wcl_w, column cross-section length wcl_l, and column cross-section wall thickness wcl_d, the inner wall width wcl_w' = wcl_w - 2wcl_d and the inner wall length wcl_l' = wcl_l - 2 × wcl_d can be calculated. The Multiplication calculator is then used to input A = wcl_w' × wcl_l' to calculate the profile cross-sectional area A; the Expression calculator is then used to input formula I. x =(wcl_w×wcl_l 3 -wcl_w'×wcl_l' 3 ) / 12 Calculate the moment of inertia I along the X-axis of the column section. x Enter formula I y =(wcl_w 3 ×wcl_l-wcl_w' 3 The moment of inertia I along the Y-axis of the column section is calculated as ×wcl_l') / 12. y ; Enter formula W using the Expression calculator. x =(wcl_w×wcl_l 3 -wcl_w'×wcl_l' 3 ) / (6×wcl_l) to calculate the X-axis section modulus W of the column. x Enter formula W y =(wcl_w 3 ×wcl_l-wcl_w' 3 The Y-axis section modulus W of the column is calculated using (×wcl_l') / (6×wcl_w). y ; Enter formula S using the Expression calculator. s =(wcl_w×wcl_l 2 -wcl_w'×wcl_l' 2 ) / 8 Calculate the cross-sectional area moment S of the column. s .

[0093] S307: Conduct a bending strength performance evaluation of louvered columns for renewable energy power generation;

[0094] According to G AK And B, can be obtained through formula G K =G AK ×B Calculate the self-weight linear load G of the photovoltaic shading louvers. K Call the Expression operator to access H v And A, M w and W x Data, formula input The calculated strength value f of the column is obtained, and the Larger than operator is called to compare f with the design value f of the bending strength of the column profile given in the "Technical Specification for Glass Curtain Wall Engineering". a The numerical relationship, if f ≤ f a If the first boolean value BL1 is 1, then the first boolean value BL1 will be 0; otherwise, it will be 0.

[0095] S308: Conduct stiffness performance evaluation of louvered columns for renewable energy power generation;

[0096] According to H v Through formula D fmax =1000×H v The maximum allowable deflection D of the column is obtained by calculating / 180. fmax Call the Expression operator to access H v q wk M w and W x The data is based on an elastic modulus of 70,000 N / mm² for aluminum alloy profiles. 2 In this case, call the Expression calculator to enter the formula. The maximum deflection U of the column was calculated. max Call the Larger than and Gate and operators to determine U max ≤20∧U max ≤D fmax If true, output the second Boolean value BL2 as 1; otherwise, output the second Boolean value BL2 as 0.

[0097] S309: Conduct shear performance evaluation of louvered columns for renewable energy power generation;

[0098] According to H v And q, which can be expressed by the formula Q = q × H v / 2 Calculate the shear force Q on the column. Call the Expression calculator to access, I x S s And Q data, call the Expression calculator to enter the formula. The column shear stress τ is calculated, and the Larger than operator is called to determine the relationship between τ and the design value of shear strength of column profile [τ] given in the "Technical Specification for Glass Curtain Wall Engineering". If τ≤[τ], the third Boolean value BL3 is output as 1, otherwise the third Boolean value BL3 is output as 0.

[0099] S310: Calculate the quantity V of the renewable energy power generation louvered column project. a ;

[0100] n, Hv Data A and B are jointly accessed to the system containing formula V. a =A×H v In the ×(n+1) Expreesion operator, the total engineering quantity V of the renewable energy power generation louvered column is calculated. a .

[0101] S311: Conduct a performance evaluation of the louvered column structure for renewable energy power generation;

[0102] The Multiplication operator is invoked to input the Boolean values ​​(including the first, second, and third Boolean values) output from S306, S307, and S308. These Boolean values ​​are multiplied to obtain the performance evaluation result of the renewable energy power generation louvered column structure. If all indicators meet the standards, the multiplication result is 1 (indicating the column structure performance meets the standards); if at least one indicator fails to meet the standards, the multiplication result is 0 (indicating the column structure performance fails to meet the standards). The Stream Filter operator is invoked to embed data of 0.1 and 0.001 in channels 0 (indicating the column structure performance fails to meet the standards) and 1 (indicating the column structure performance meets the standards) respectively as the influence coefficient μ for matching the performance evaluation result of the column structure. The Expresion operator is invoked to input the formula. Let μ be related to the total engineering volume V of the column. a For columns that meet structural performance requirements and have a small overall project volume, a larger κ value will be obtained; for columns that do not meet structural performance requirements, although their V... a The value is smaller, but because an influence coefficient μ of 0.1 is applied, the κ value of this section will still be low, and it will be eliminated in subsequent optimizations.

[0103] This invention optimizes two objectives—the cross-sectional engineering quantity and mechanical performance of the louvered column for renewable energy power generation—by setting a structural performance fitness function. This approach achieves integration while simultaneously ensuring that column sections with low workload but substandard mechanical properties are eliminated in subsequent optimizations by setting a penalty factor (influence coefficient μ). This key point simplifies the original three optimization objectives—workload, mechanical properties, and power generation efficiency—into two: structural effectiveness and power generation efficiency, shortening the optimization process and improving optimization efficiency.

[0104] S4: Calculate the annual power generation of renewable energy generation louvers; specifically including:

[0105] S401: Calculate the optimal deployment angle for renewable energy generation louvers;

[0106] The Listitem operator is invoked to read any louver from the parametric geometric model of the renewable energy power generation louvers in S2; the SimplifiedPhotovoltaicsModule operator is invoked to generate parameters for the renewable energy power generation module, and the core setting item mountType of this operator is set to 2; the PhotovoltaicsSurface operator is invoked to connect the parameters of the renewable energy power generation module and the louver model to calculate the estimated power generation of a single louver under unshaded conditions; the SunPathShading operator is invoked to connect the estimated power generation of a single louver under unshaded conditions and the louver model to calculate the shadow conditions of the renewable energy power generation louvers obscured by the pillar; finally, the TOF operator is invoked to connect the single louver model and the shadow conditions to obtain the optimal deployment angle data of the renewable energy power generation louvers at the deployment point.

[0107] S402: Calculate the annual power generation of the renewable energy power generation louvers;

[0108] The optimal deployment angle of the renewable energy power generation louvers is input into the louver angle 'a' in S2 to generate a renewable energy power generation louver model with the optimal deployment angle. The PhotovoltaicsSurface operator is called, and the renewable energy power generation module parameters generated in S401 and the renewable energy power generation louver model with the optimal deployment angle are input to calculate the estimated power generation of the renewable energy power generation louvers under unshaded conditions. The SunPathShading operator is called, and the estimated power generation of the renewable energy power generation louvers under unshaded conditions and the renewable energy power generation louver model with the optimal deployment angle are input to calculate the shadow conditions of the renewable energy power generation louver model under the obstruction of the pillar. The DCtoACderateFacor operator is called, and the shadow conditions generated in the previous step are input to obtain the derating factor for DC to AC conversion under the shadow conditions of the deployment point. Finally, the PhotovoltaicsSurface operator is called again, and the renewable energy power generation module parameters generated in S401, the renewable energy power generation louver model with the optimal deployment angle, and the derating factor generated in the previous step are input to calculate the annual power generation of the renewable energy power generation louvers at the deployment point.

[0109] This invention calculates the optimal rotation angle of the renewable energy power generation louver at the deployment point, and corrects the optimization geometric model with this angle data before optimization, ensuring that the optimization result is the optimal angle, that is, the true maximum power generation efficiency.

[0110] S5: Perform coupled optimization of structural performance and power generation efficiency; specifically including:

[0111] S501: Call the Wallacei multi-objective optimization calculator to generate optimization results for coupled optimization of structural performance and power generation efficiency;

[0112] Since the Wallacei multi-objective optimization calculator can only handle minimum optimization problems, while this technology aims to maximize the structural performance and power generation efficiency of renewable energy power generation louvers, it is necessary to call the One Over calculator to take the reciprocal of the structural performance evaluation data obtained in S3 and the annual power generation calculation data obtained in S4 and input them into the Number calculator to meet the basic requirements for the subsequent operation of the optimization calculator.

[0113] The Wallacei multi-objective optimization operator is invoked. The Number operator from the previous operation is connected to the Objectives (optimization objectives) interface. The column cross-section width wcl_w, column cross-section length wcl_l, and column cross-section wall thickness wcl_d set in S1 are connected as variables to the Genes (optimization variables) interface of the Wallacei operator. The renewable energy power generation louver model with the optimal deployment angle in S4 is connected to the Phenotype (optimization phenotype) interface.

[0114] Enter the Wallacei multi-objective optimization calculator settings interface. In order to control the optimization time and balance optimization efficiency and the reliability of optimization results, set Generation Count to 30 and Generation Size to 25 to complete the construction and optimization of the coupled optimization module of structural performance and power generation efficiency.

[0115] This invention utilizes the Grasshopper low-code visual coding platform to unify the evaluation and calculation interface for the performance and power generation efficiency of renewable energy louver structures. With the support of a unified data foundation, it achieves the collaborative optimization of the performance and power generation efficiency of renewable energy power generation louver structures by calling the Wallacei calculator.

[0116] S502: Visualize the optimization results;

[0117] After the optimization process is completed, enter the Wallacei multi-objective optimization operator settings interface, export all Pareto front solutions as optimization results; call the Dsitributor operator to access the Fitness optimization result data exported from the Wallacei operator, and realize the visualization of the optimization result model.

[0118] The Tree Statistics and Tree Branch operators are called sequentially to process the grouped optimization results data from the Wallacei output WPHenotypes. The Decode Genome operator is then called, and the Genes (optimization variables) values ​​(i.e., the column cross-section width wcl_w, column cross-section length wcl_l, and column cross-section wall thickness wcl_d for each Pareto solution) are indexed based on the grouped encoding of the optimization results. Finally, the Sequencer and Visualiser operators are called sequentially to convert the Genes (optimization variables) of the optimization results into a gene decoding table for visualization.

[0119] Enter the visual interface, such as Figure 5 As shown, curtain wall engineers can vertically compare the values ​​of optimization variables for each optimization result in the gene decoding table, eliminate optimization results that are abrupt for a certain variable class, and at the same time view the optimized structure visualization model and the corresponding structural performance and power generation efficiency fitness values ​​below it. Based on the actual engineering needs, they can select the most suitable optimization scheme for the deployment point from the optimization solution set.

[0120] This invention realizes the geometric model of the optimization results of renewable energy power generation louvers and the visualization of the variable data corresponding to the optimization results through the combination of arithmetic units, which helps curtain wall engineers to more intuitively select the final deployment scheme from the optimization solution.

[0121] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for coupled optimization of the performance and power generation efficiency of a renewable energy power generation louver structure, characterized in that, include: S1: Input design parameter information, including the geometric variables and load conditions of the renewable energy power generation louvers; The geometric variables include the total product height Hv, the total product width W, the number of louvers n, the spacing between adjacent louvers D, the louver width w, the louver angle a, the column cross-section width wcl_w, the column cross-section length wcl_l, the column cross-section wall thickness wcl_d, and the louver tempered glass thickness t. The load conditions include: the type of deployment point, the calculation height z, the basic wind pressure w0, and the dynamic amplification factor β. E Average self-weight of curtain wall components G AK And the horizontal earthquake influence coefficient amaxii; S2: Based on the aforementioned geometric variables, construct a parameterized geometric model of the renewable energy power generation louver; S3: Based on the aforementioned design parameter information, perform structural performance evaluation; specifically including: S301: Based on the total product height Hv, total product width W, number of louvers n, type of deployment point, calculation height z, and basic wind pressure w0, calculate the standard value of wind load Wk for renewable energy power generation louver column; S302: Based on the total width W of the product and the number of louvers n, obtain the single renewable energy power generation louver partition width B; based on the single renewable energy power generation louver partition width B and the standard value of wind load Wk of the column, calculate the maximum load intensity design value qw of the wind load line distribution of the renewable energy power generation louver column; S303: Based on the average self-weight G of the curtain wall components AK The horizontal seismic influence coefficient amaxii and the single renewable energy power generation louver spacing width B are used to calculate the design value qe of the horizontal seismic action of the renewable energy power generation louver column distribution. S304: Based on the design value of the maximum load intensity qw of the column wind load line distribution and the design value of the horizontal seismic action qe of the column distribution, calculate the design value of the combined load q of the renewable energy power generation louver column; S305: Based on the total height Hv of the product and the design value of the combined load q of the column, calculate the bending moment Mw of the renewable energy power generation louver column; S306: Based on the column cross-section width wcl_w, column cross-section length wcl_l, and column cross-section wall thickness wcl_d, calculate the profile characteristics of the renewable energy power generation louver column cross-section, including the profile cross-sectional area A, column cross-section X-axis moment of inertia Ix, column cross-section Y-axis moment of inertia Iy, column cross-section X-axis modulus Wx, column cross-section Y-axis modulus Wy, and column cross-section area moment Ss; S307: Conduct a bending strength performance evaluation of louvered columns for renewable energy power generation; The calculated strength value f of the column is obtained according to the following formula: Among them, the self-weight line load G of the photovoltaic shading louvers K =G AK ×B, the width of the louvered partition for a single renewable energy power generation unit is B = W / n; If f≤fa, the first Boolean value BL1 is output as 1; otherwise, the first Boolean value BL1 is output as 0. fa is the design value of the bending strength of the column profile given in the "Technical Specification for Glass Curtain Wall Engineering". S308: Conduct stiffness performance evaluation of louvered columns for renewable energy power generation; S309: Conduct shear performance evaluation of louvered columns for renewable energy power generation; S310: Based on the total height Hv of the product, the number of louvers n, and the cross-sectional area A of the material, calculate the engineering quantity Va of the renewable energy power generation louver column; S311: Conduct a performance evaluation of the louvered column structure for renewable energy power generation; S4: Calculate the annual power generation of the renewable energy power generation louvers based on the parametric geometric model of the renewable energy power generation louvers; S5: Perform optimization by coupling structural performance with power generation efficiency.

2. The method according to claim 1, characterized in that, Grasshopper is the platform used to build the parametric geometric model of the renewable energy power generation louver.

3. The method according to claim 2, characterized in that, In S308, the maximum deflection Umax of the column is calculated according to the following formula: If Umax≤20∧Umax≤Dfmax is true, then the output second Boolean value BL2 is 1; otherwise, the output second Boolean value BL2 is 0. The maximum allowable deflection of the column is Dfmax=1000×Hv / 180.

4. The method according to claim 3, characterized in that, In S309, the column shear stress τ is calculated according to the following formula: Among them, the shear force on the column is Q = q × Hv / 2; If τ≤[τ], the third Boolean value BL3 will be 1; otherwise, the third Boolean value BL3 will be 0. [τ] is the design value of shear strength of the column profile given in the "Technical Specification for Glass Curtain Wall Engineering".

5. The method according to claim 4, characterized in that, In S311, the first Boolean value, the second Boolean value, and the third Boolean value are multiplied together. If the result of the multiplication is 1, it means that the performance of the column structure meets the standard, and the influence coefficient μ is set to 0.1; if the result of the multiplication is 0, it means that the performance of the column structure does not meet the standard, and the influence coefficient μ is set to 0.

001. Set the structural performance fitness function To achieve the integration of two optimization objectives: the cross-sectional engineering quantity and mechanical performance of the louvered column for renewable energy power generation.

6. The method according to claim 5, characterized in that, S4 specifically includes: S401: Calculate the optimal deployment angle for renewable energy generation louvers; S402: Calculate the annual power generation of the renewable energy power generation louvers; The optimal deployment angle of the renewable energy power generation louver in S401 is taken as the louver angle a in S2 to obtain the renewable energy power generation louver model with the optimal deployment angle, and the annual power generation of the renewable energy power generation louver at the deployment point is calculated.

7. The method according to claim 6, characterized in that, S5 specifically includes: S501: Call the Wallacei multi-objective optimization calculator in Grasshopper software to generate optimization results of coupled optimization of structural performance and power generation efficiency; During the optimization process, the Generation Count of the Wallacei multi-objective optimization operator was set to 30, and the Generation Size was set to 25. S502: Visualize the optimization results.

Images