CN115270417A

CN115270417A - Optimization method and system for BIPV system

Info

Publication number: CN115270417A
Application number: CN202210748693.7A
Authority: CN
Inventors: 钟琛; 张金江
Original assignee: Zhejiang Lover Health Science and Technology Development Co Ltd
Current assignee: Zhejiang Lover Health Science and Technology Development Co Ltd
Priority date: 2022-06-28
Filing date: 2022-06-28
Publication date: 2022-11-01

Abstract

The invention belongs to the technical field of photovoltaic array optimization, and particularly relates to an optimization method and system for a BIPV system. The method comprises the following steps: s1, establishing a photovoltaic module layout field model, and determining an annual optimal inclination angle of a photovoltaic array to obtain a photovoltaic array model; s2, determining an optimal inclination angle with seasonality adjustable orientation, and optimizing the photovoltaic array model; s3, determining an optimal azimuth angle of the photovoltaic array, and optimizing the optimized photovoltaic array model; s4, determining the optimal height of the photovoltaic array, and optimizing the optimized photovoltaic array model; and S5, determining the optimal number of the photovoltaic arrays, and optimizing the optimized photovoltaic array model to obtain the finally optimized photovoltaic array model. The invention has the characteristics that the influence of the sunlight intensity difference of different areas on the photovoltaic panel can be comprehensively considered, and the system is more humanized by more convenient and intelligent software simulation.

Description

Optimization method and system for BIPV system

Technical Field

The invention belongs to the technical field of photovoltaic array optimization, and particularly relates to an optimization method and system for a BIPV system.

Background

With the progress of modern society science and technology, the development of building photovoltaic BIPV design is also rapid. However, since the application and research of BIPV embody the intersection of architecture and electrical discipline, the difficulty of its research is reflected in the following main aspects:

1. from the perspective of a photovoltaic power generation system, on one hand, in a design stage, geographical and climate factors and changes of solar radiation are often ignored, and modeling and design of a photovoltaic array only depend on engineering experience, so that the designed photovoltaic system is far from the actual operation effect. On the other hand, due to the influence of temperature illumination intensity, the maximum power of the photovoltaic power generation system changes in real time, the conventional tracking method often generates misjudgment, the tracking error is large, and the tracking speed and the tracking precision are difficult to meet the requirements.

The BIPV system changes a single power supply main body of a building into a power generation and supply complex, can effectively reduce the energy consumption of the building, and simultaneously provides a plurality of new requirements for building technology, such as building appearance, optimized equipment deployment, optimized design of photovoltaic buildings and the like. In order to effectively realize the photovoltaic construction integration, the photovoltaic system needs to be regarded as an integral part of the whole building system, and the whole photovoltaic system and the building system are considered as a whole in the scheme design and analysis process. However, because of the lack of correct computer aided design support, the entire building system and the entire photovoltaic system solution and design flow are often separated from each other, and a true overall design cannot be achieved;

3. limited by the complex environment in which the BIPV apparatus is located, the photovoltaic array is not only shadowed by shadows such as trees, utility poles, but also by higher buildings around it. Local shadow masking can have a non-negligible effect on the output power of a photovoltaic device.

Based on the above background, the subject is to be 120m in a family area²The BIPV system takes local climate characteristics and the type selection and electrical characteristics of the photovoltaic modules into full consideration, and analyzes the influences of photovoltaic array installation direction, inclination angle and shading shadow which restrict the power generation amount based on a numerical simulation method, so as to obtain an optimal design scheme of the system.

Therefore, it is necessary to design an optimization method and system for a BIPV system, which can comprehensively consider the influence of the sunlight intensity difference in different areas on the photovoltaic panel and make the system more humanized by using more convenient and intelligent software simulation.

For example, chinese patent document that application number is CN201820206260.8 describes a roof power generation system for large-scale factory building integration, including ridge, photovoltaic power generation usefulness subassembly, maintenance passageway and drainage subassembly, the ridge has certain domatic side back board about including, wholly is the chevron shape, side back board one end crosses for middle ridge, and the other end is equipped with the frame that is used for the buckle concatenation, the subassembly includes the cell board, the cell board includes the body, be equipped with power generation module on the body, a body outside is equipped with between each cell board concatenation usefulness horizontal frame and is equipped with the horizontal lower frame that corresponding concatenation was used in opposite side one side, maintenance passageway includes horizontal maintenance passageway and vertical maintenance passageway, maintenance passageway comprises cell passageway board buckle concatenation, the drainage subassembly includes drainage guide rail and guide rail connecting piece. Although all the devices and components of the whole system are used in coordination with each other to achieve the building, optimization, operation and maintenance integrated construction of a BIPV system, the disadvantage is that the whole building system and the whole photovoltaic system scheme and design flow are often separated from each other due to the lack of correct computer aided design support, and the real overall design cannot be realized.

Disclosure of Invention

The invention provides an optimization method and system for a BIPV system, which can comprehensively consider the influence of sunlight intensity difference in different areas on a photovoltaic panel and enable the system to be more humanized by using more convenient and intelligent software simulation, in order to solve the problems that the BIPV system cannot be more humanized and has poor optimization effect by relying on traditional engineering experience or a single software aided design method in the prior art.

In order to achieve the purpose of the invention, the invention adopts the following technical scheme:

an optimization method for a BIPV system, comprising the steps of:

s1, establishing a photovoltaic module layout field model in PVsyst software, and determining an annual optimal inclination angle of a photovoltaic array in the photovoltaic module layout field to obtain a photovoltaic array model;

s2, dividing the whole year time, determining an optimal inclination angle with seasonality adjustable orientation, and optimizing the photovoltaic array model in the step S1;

s3, determining an optimal azimuth angle of the photovoltaic array, and optimizing the photovoltaic array model optimized in the step S2;

s4, determining the optimal height of the photovoltaic array, and optimizing the photovoltaic array model optimized in the step S3;

and S5, determining the optimal number of the photovoltaic arrays, and optimizing the photovoltaic array model optimized in the step S4 to obtain the finally optimized photovoltaic array model.

Preferably, step S1 includes the steps of:

s11, establishing a photovoltaic module layout field model in PVsyst software according to a given CAD drawing, wherein in the established photovoltaic module layout field model, areas for laying photovoltaic modules are 12m multiplied by 15m on a roof and 3m multiplied by 8.5m on the upper layer of a side stair;

and S12, in the PVsyst optimization interface, simulating according to a preset angle range and step length to obtain the BIPV system power generation amount under different inclination angles, and taking an angle corresponding to the maximum value of the BIPV system power generation amount as an annual optimal inclination angle.

Preferably, step S2 includes the steps of:

s21, dividing the months from 1 month to 3 months, from 10 months to 12 months of the whole year into winter, and dividing the months from 4 months to 9 months into summer;

s22, simulating the inclination angle in summer: setting simulation time to be 4-9 months on an optimized simulation interface of PVsyst, and carrying out simulation according to a preset angle range and step length to obtain a simulation result of the optimal inclination angle in summer and obtain the optimal inclination angle in summer;

s23, simulating the inclination angle in winter: and setting the simulation time to be 10-3 months on an optimized simulation interface of the PVsyst, and performing simulation according to a preset angle range and step length to obtain a simulation result of the optimal inclination angle in winter and obtain the optimal inclination angle in winter.

Preferably, step S3 includes the steps of:

s31, setting an azimuth angle parameter range and a step length on a PVsyst software interface, carrying out simulation to obtain the generated energy of the BIPV system under different azimuth angles, and taking an angle corresponding to the maximum value of the generated energy of the BIPV system as the optimal direction angle of the photovoltaic array;

and S32, adjusting the spacing and dislocation of the photovoltaic array.

Preferably, step S4 includes the steps of:

s41, modifying an original photovoltaic array model on a PVsyst software interface, lifting a photovoltaic array on the right side of a roof upwards by a set height, lifting a photovoltaic array on the left side of the roof by the set height, and simulating to obtain a power generation result of the photovoltaic array model after the height is updated;

and S42, repeating the step S41, and selecting the elevation height corresponding to the maximum value of the generated energy of the BIPV system as the optimal height of the photovoltaic array.

Preferably, step S5 includes the steps of:

s51, setting a spacing range and a step length of the photovoltaic arrays on a PVsyst software interface, carrying out simulation to obtain the generated energy of the BIPV system at different spacings, selecting the spacing of the maximum photovoltaic arrays corresponding to the maximum generated energy of the BIPV system, and taking the number of the photovoltaic arrays at the maximum photovoltaic array spacing as the optimal number of the photovoltaic arrays.

The invention also provides an optimization system for a BIPV system, comprising:

the inclination angle optimization module is used for establishing a photovoltaic module layout field model in PVsyst software, determining the annual optimal inclination angle of the photovoltaic array in the photovoltaic module layout field and obtaining a photovoltaic array model;

the orientation seasonally adjustable optimal dip angle optimization module is used for dividing the whole year time, determining the orientation seasonally adjustable optimal dip angle and optimizing the photovoltaic array model;

the azimuth angle optimization module is used for determining the optimal azimuth angle of the photovoltaic array and optimizing the photovoltaic array model;

the height optimization module is used for determining the optimal height of the photovoltaic array and optimizing the photovoltaic array model;

and the quantity optimization module is used for determining the optimal quantity of the photovoltaic arrays and optimizing the photovoltaic array model to obtain the finally optimized photovoltaic array model.

Preferably, the inclination angle optimization module specifically comprises:

establishing a photovoltaic module layout field model in PVsyst software according to a given CAD drawing, wherein in the established photovoltaic module layout field model, areas for laying photovoltaic modules are 12m multiplied by 15m of a roof and 3m multiplied by 8.5m of an upper layer of a side stair;

in the PVsyst optimization interface, simulation is carried out according to a preset angle range and a preset step length to obtain the BIPV system power generation amount under different inclination angles, and an angle corresponding to the maximum value of the BIPV system power generation amount is taken as an annual optimal inclination angle.

Preferably, the orientation seasonally adjustable optimal inclination optimization module specifically includes:

dividing 1-3 months, 10-12 months of the whole year into winter, and 4-9 months into summer;

simulating the inclination angle in summer: setting simulation time to be 4-9 months on an optimized simulation interface of PVsyst, and carrying out simulation according to a preset angle range and step length to obtain a simulation result of the optimal inclination angle in summer and obtain the optimal inclination angle in summer;

simulating the inclination angle in winter: and setting the simulation time to be 10-3 months on an optimized simulation interface of the PVsyst, and performing simulation according to a preset angle range and step length to obtain a simulation result of the optimal inclination angle in winter and obtain the optimal inclination angle in winter.

Preferably, the azimuth angle optimizing module specifically includes:

setting azimuth angle parameter ranges and step lengths on a PVsyst software interface, performing simulation to obtain the generated energy of the BIPV system at different azimuth angles, and taking an angle corresponding to the maximum value of the generated energy of the BIPV system as the optimal direction angle of the photovoltaic array;

and adjusting the spacing and dislocation of the photovoltaic array.

Compared with the prior art, the invention has the beneficial effects that: (1) According to the invention, a proper photovoltaic panel is selected in the large-area photovoltaic array laying, and the arrangement scheme is a scheme with relatively good inclination angle and shielding relation by comprehensively calculating simulation consideration of traditional energy calculation and PVsyst and other software; (2) The method is different from the traditional method of relying on engineering experience or single software aided design while data analysis is achieved, and has certain advancement in the technology; (3) The method not only optimizes the original solar array layout from the aspect of angle adjustment, but also reduces the use of the photovoltaic array according to simulation data, obtains a power generation effect not lower than that of the original design, and optimizes the power generation capacity and the engineering design; (4) The invention has the characteristics that the influence of the sunlight intensity difference of different areas on the photovoltaic panel can be comprehensively considered, and the system is more humanized by more convenient and intelligent software simulation.

Drawings

Fig. 1 is a schematic view of a photovoltaic module layout field provided in an embodiment of the present invention;

FIG. 2 is a diagram illustrating the simulation effect of the embodiment of the present invention when the inclination angle of the photovoltaic array is 42 °;

FIG. 3 is a graph of simulation results for an exemplary embodiment of the present invention when the photovoltaic array is tilted at an angle ranging from 0 to 60 degrees in a step size of 10;

FIG. 4 is a graph of simulation results when the photovoltaic array has a tilt angle in the range of 15 ° -25 ° and a step size of 0.5 in an embodiment of the present invention;

FIG. 5 is a graph of a simulation result of a summer optimal tilt simulation in an embodiment of the present invention;

FIG. 6 is a graph of simulation results for winter optimal tilt simulation in an embodiment of the present invention;

FIG. 7 is a diagram showing a simulation effect of an electric power generation amount in a dual inclination angle case in summer and winter according to an embodiment of the present invention;

FIG. 8 is a graph of simulation results for an azimuth angle in the range of-5 to 5 with a step size of 0.5 in accordance with an embodiment of the present invention;

fig. 9 is a schematic view of the arrangement of photovoltaic panels after updating the azimuth angle according to the embodiment of the present invention;

FIG. 10 is a diagram illustrating the effect of simulating the power generation amount after updating the azimuth angle according to the embodiment of the present invention;

FIG. 11 is a schematic view of an embodiment of the present invention with the photovoltaic array elevated;

FIG. 12 is a diagram illustrating the simulation effect of the power generation amount after the photovoltaic array is raised according to the embodiment of the invention;

FIG. 13 is a schematic diagram of an embodiment of the present invention in which the number of photovoltaic arrays is optimized;

FIG. 14 is a diagram illustrating a simulation effect of power generation amount after optimizing the number of photovoltaic arrays according to an embodiment of the present invention;

FIG. 15 is a graph of simulation results for a photovoltaic array at a pitch of 0.6m-6m in accordance with an embodiment of the present invention;

FIG. 16 is a graph illustrating the simulation effect of multiple optimizations of the PV array spacing in an embodiment of the present invention;

FIG. 17 is a graph of simulation results for the new photovoltaic array model in an embodiment of the present invention;

FIG. 18 is a comparison histogram of new and old photovoltaic array models in accordance with an embodiment of the present invention;

fig. 19 is a flow chart of an optimization method for BIPV system according to the present invention.

Detailed Description

In order to more clearly illustrate the embodiments of the present invention, the following description will explain the embodiments of the present invention with reference to the accompanying drawings. It is obvious that the drawings in the following description are only some examples of the invention, and that for a person skilled in the art, other drawings and embodiments can be derived from them without inventive effort.

Example (b):

as shown in fig. 19, the optimization method for the BIPV system includes the following steps:

For step S1, the building can be laid with a photovoltaic module area of 12m × 15m on the roof and 3m × 8.5m on the upper side stairs, according to the given CAD drawing. Therefore, a simple photovoltaic module layout site is established in PVsyst, as shown in fig. 1. The photovoltaic array was optimized according to the range shown in fig. 1. After the solar panels are arranged, the solar panels are firstly simulated by the inclination angle of 42 degrees, and as shown in fig. 2, the system efficiency is 0.610 and the system power generation is 18152Wh/yr at the moment. This was used as a reference for optimization.

In the PVsyst optimization interface, the inclination angle range is set to 0-60 ° and the step size is 10, and the system power generation amount at different inclinations can be obtained as shown in fig. 3. As can be seen from the data in FIG. 2, the optimum tilt angle falls within the range of 15-25.

Errors due to accuracy problems are eliminated. Setting the angle to be 15-25 degrees and the step length to be 0.5, a more accurate optimal inclination angle in this state can be obtained, as shown in fig. 4. An optimum tilt angle of 19.5 deg. can be obtained for this photovoltaic array arrangement. Under the angle, the system power generation can reach 18336kWh/yr, and about 150 degrees of electricity can be generated in each year compared with a scheme using a 42-degree inclination angle (the system power generation is 18152 kWh/yr).

For the inclination angle of the photovoltaic array in step S2, the use of a uniform inclination angle throughout the year can reduce maintenance cost, but also results in a reduction in power generation. Therefore, the dual-season inclination optimization based on winter and summer is provided, and under the design mode, 12 months in the whole year are divided into winter and summer by taking 6 months as a reference, and the inclination optimization is respectively carried out.

The simulation is divided into winter from 1 month to 3 months and 10 months to 12 months, and the summer from 4 months to 9 months. Firstly, simulating the summer dip angle. In the optimized simulation interface of PVsyst, the angle range is set to 0 ° -20 °, the step length is 0.5, the simulation time is set to 4 months-9 months, and a simulation graph of the optimal inclination angle in summer can be obtained as shown in fig. 5, and it can be seen that the optimal inclination angle in summer is 7.5 °.

And similarly, simulating the inclination angle in winter. The angle range is set to be 30-60 degrees, the step length is 0.5, the simulation time is set to be 10-3 months, the simulation graph of the optimal inclination angle in winter can be obtained, as shown in fig. 6, and the optimal inclination angle in winter can be seen to be 51 degrees.

The obtained summer and winter optimal tilt angles are respectively led into a power generation model for simulation, and the annual power generation amount under the double-tilt-angle optimization can be obtained as shown in fig. 7. It can be seen that the power generation of the system in this case reaches 19044kWh/yr, which is a further increase of about 1000 degrees/year per year compared to the power generation of 19.5 ° at a single inclination.

According to the design concept, the inclination angle adjusting time of the photovoltaic array can be further subdivided into quarterly or monthly, and even the tracking module and the bracket are used for realizing daily inclination angle adjustment so as to obtain higher annual power generation.

Due to the limitation of the layout field, in the general photovoltaic array layout of the BIPV system, the azimuth angle is generally kept the same as the appearance of the building. In fact, if the influence on the appearance of the building is not considered, the azimuth angle can be finely adjusted for a fixed building so as to achieve better power generation efficiency.

Therefore, the influence of the azimuth angle on the power generation amount of the photovoltaic array is considered, and the photovoltaic array is further optimized under the double-inclination-angle model obtained in the step S3.

Under a double-dip-angle model, azimuth angle parameters are set to be-5 degrees on PVsyst optimization software, and the step length is set to be 0.5, so that the optimal azimuth angle analysis of the photovoltaic array under the condition is obtained, and is shown in fig. 8. It can be seen that the optimum direction angle at this time is 3 °.

Further adjusting the photovoltaic array model, setting the azimuth angle as the optimal azimuth angle, and slightly adjusting the spacing and dislocation of the photovoltaic array to obtain the photovoltaic panel arrangement mode shown in the following fig. 9.

The power generation amount simulation was performed again on the building, and the result is shown in fig. 10 below. It can be seen that although the azimuth angle is updated, the increment of the power generation amount of the photovoltaic panel is only about 100 degrees/year due to other factors such as small modification angle, mutual shielding among modules and the like. This amplification is due primarily to the shadow of the building obscuring the wall beams from the left side.

For the BIPV system, shadow occlusion by a perimeter 60cm wall creates a more severe shadow occlusion for it. In order to obtain the best generated energy, the photovoltaic array is lifted through the support in the step S4 process, and therefore a better optimization effect is obtained.

Under the former optimization model, the original photovoltaic array model is modified on PVsyst software, the photovoltaic array on the right side of the roof is lifted upwards by 60cm, the photovoltaic array on the left side is lifted by 100cm, and the lifted model is shown in fig. 11.

The simulation is carried out under the condition of the basis of the condition in fig. 11, and the photovoltaic array power generation condition after the height is updated can be obtained and is shown in fig. 12. It can be seen that the power generation of the system reaches 20003kWh/yr at this time. Compared with the power generation capacity (19044 kWh/yr) of the common double-dip-angle mode, the optimization can improve the annual power generation capacity by about 1000 degrees. For this optimization, the effect of elevated altitude on power production is significant. But in contrast to this, too high a support may bring more instability factors and higher economic expenditure. After multiple experiments, various conditions are integrated, and finally the optimization mode is considered to be relatively excellent.

In the above optimization design, it is easy to find that more photovoltaic arrays are additionally installed on the roof with smaller area in order to reach the rated installation amount. This will inevitably lead to shadowing between the photovoltaic panels, resulting in loss of efficiency. Therefore, the number of photovoltaic arrays is reduced by adopting the process of step S5, so that higher efficiency and economic benefit are achieved.

Firstly, analyzing the dual-inclination angle model after the height is optimized. The photovoltaic array originally arranged on the right side of the roof plane is formed by combining 5 x 19 photovoltaic modules, and a row of photovoltaic modules is reduced to be combined by changing into 5 x 18 photovoltaic modules. The layout model after photovoltaic modules and pitches are re-planned is shown in fig. 13.

After the model shown in fig. 13 is subjected to electric quantity simulation again, the photovoltaic array power generation situation after the number is updated is shown in fig. 14. It can be seen that, with a reduced number of photovoltaic modules, the overall power generation does not decrease, but rather increases slightly. This is because the number of modules is reduced, and the number of gaps between the modules in the rows is increased, thereby reducing the waste of efficiency caused by shadow masking. The annual power generation amount of the photovoltaic panel after the number optimization reaches 20816kWh/yr, and can be improved by about 800 degrees compared with the average annual power generation amount of the previous optimization model.

Simulation of module gaps is also supported in PVsyst software. As shown in fig. 15, the step size is 0.5, which is a simulation of the power generation amount of the photovoltaic array at a distance of 0.6m to 6 m. It can be seen that as the module clearance increases, the power generation rises progressively. Considering the comprehensive site factors, the better array interval is set to be 1.5m-2.5 m. A plurality of experiments are performed according to the simulation result, and finally a relatively good optimization situation is obtained, as shown in fig. 16. In this case, the annual energy production of the system can reach 22286kWh/yr, and only 132 photovoltaic modules are needed.

Under comprehensive consideration, the scheme not only increases the generating capacity, but also reduces the installation quantity of the photovoltaic modules, saves the layout cost and is the optimal optimization scheme at present.

An optimization scheme integrating various advantages can be obtained through software simulation: reduce the shadow through promoting the support height and shelter from promptly, reduce the quantity of photovoltaic module in order to increase the module interval, promote monolithic photovoltaic module's generating efficiency. Since the photovoltaic array arrangement is adjusted under multiple optimization, the initial angle analysis may not be accurate enough, and the model is subjected to angle analysis again and compared.

The radiation profile of the new model (132 photovoltaic modules, no sub-mount elevation) at the optimal radiation angle of 42 ° is first recalculated and compared with the old model (154 photovoltaic modules, no sub-mount elevation). Comparative data are shown in table 1 below:

TABLE 1 optimal radiation angle annual system data comparison table

Model classes	System generated energy	Efficiency of the system
			Novel model	20219	0.679
Old model	18152	0.610

And then the annual optimal dip angle of the new model is analyzed again, so that the simulation of the annual optimal dip angle under the new model can be obtained as shown in fig. 17. It can be seen that the new model (132 photovoltaic modules, no auxiliary support raised, 24 °) was slightly different from the old model (154 photovoltaic modules, no auxiliary support raised, 19.5 °) at the annual optimum inclination angle. Simple data pairs for the old and new models are shown in table 2 below:

TABLE 2 annual optimum dip angle annual system data comparison table

Model classes	System generated energy	Efficiency of the system
			Novel model	20804	0.728
Old model	18366	0.717

The azimuth angle and the seasonal adjustable inclination angle are also carried out by the same method. Finally, a comparison histogram of the four arrangement modes after the control of a single variable is obtained as shown in fig. 19.

The present invention also provides an optimization system for a BIPV system, comprising:

the orientation seasonally adjustable optimal inclination angle optimization module is used for dividing the whole year time, determining the orientation seasonally adjustable optimal inclination angle and optimizing the photovoltaic array model;

The inclination angle optimization module specifically comprises:

The optimal inclination angle optimization module with seasonally adjustable orientation specifically comprises:

The azimuth angle optimization module specifically comprises:

setting an azimuth angle parameter range and a step length on a PVsyst software interface, carrying out simulation to obtain the generated energy of the BIPV system under different azimuth angles, and taking an angle corresponding to the maximum value of the generated energy of the BIPV system as the optimal direction angle of the photovoltaic array;

and adjusting the spacing and dislocation of the photovoltaic array.

The height optimization module specifically comprises:

determining the optimal height of the photovoltaic array, and optimizing the optimized photovoltaic array model;

the quantity optimization module specifically comprises:

and determining the optimal number of the photovoltaic arrays, and optimizing the optimized photovoltaic array model to obtain the finally optimized photovoltaic array model.

According to the invention, a proper photovoltaic panel is selected in large-area photovoltaic array laying, and the arrangement scheme is that the scheme with relatively good inclination angle and shielding relation is obtained by comprehensively calculating simulation consideration of traditional energy calculation and PVsyst and other software; the method is different from the traditional method of relying on engineering experience or single software aided design while data analysis is achieved, and has certain advancement in the technology; the method not only optimizes the original solar array layout in terms of angle adjustment, but also reduces the use of the photovoltaic array according to simulation data, obtains a power generation effect not lower than that of the original design, and optimizes the power generation amount and the engineering design; the invention has the characteristics that the influence of the sunlight intensity difference of different areas on the photovoltaic panel can be comprehensively considered, and the system is more humanized by more convenient and intelligent software simulation.

The foregoing has outlined rather broadly the preferred embodiments and principles of the present invention and it will be appreciated that those skilled in the art may devise variations of the present invention that are within the spirit and scope of the appended claims.

Claims

1. Optimization method for a BIPV system, characterized in that it comprises the following steps:

2. Optimization method for BIPV systems according to claim 1, characterized in that step S1 comprises the following steps:

s11, establishing a photovoltaic module layout field model in PVsyst software according to a given CAD drawing, wherein in the established photovoltaic module layout field model, areas for laying photovoltaic modules are areas with the roof area of 12m multiplied by 15m and the upper layer area of 3m multiplied by 8.5m of the lateral stair;

3. The optimization method for the BIPV system according to claim 2, wherein step S2 comprises the steps of:

s21, dividing 1-3 months, 10-12 months of the whole year into winter, and 4-9 months into summer;

4. The optimization method for the BIPV system according to claim 3, wherein the step S3 comprises the steps of:

and S32, adjusting the spacing and dislocation of the photovoltaic array.

5. The optimization method for the BIPV system according to claim 4, wherein the step S4 comprises the steps of:

6. The optimization method for the BIPV system according to claim 5, wherein the step S5 comprises the steps of:

7. An optimization system for a BIPV system, comprising:

the inclination angle optimization module is used for establishing a photovoltaic module layout field model in PVsyst software, and determining the annual optimal inclination angle of the photovoltaic array in the photovoltaic module layout field to obtain a photovoltaic array model;

8. The optimization system for the BIPV system according to claim 7, wherein the tilt angle optimization module is specifically:

establishing a photovoltaic module layout site model in PVsyst software according to a given CAD drawing, wherein in the established photovoltaic module layout site model, areas for laying the photovoltaic modules are areas with the roof size of 12m multiplied by 15m and the upper layer of the side stair size of 3m multiplied by 8.5 m;

9. Optimization system for BIPV systems according to claim 7, characterized in that said seasonally oriented adjustable optimal tilt angle optimization module is in particular:

dividing the whole year from 1 month to 3 months, from 10 months to 12 months into winter, and from 4 months to 9 months into summer;

10. The optimization system for a BIPV system according to claim 7, wherein the azimuth optimization module is specifically:

and adjusting the spacing and dislocation of the photovoltaic array.