CN-121997433-A - Photovoltaic laying area optimization method based on temperature field distribution

CN121997433ACN 121997433 ACN121997433 ACN 121997433ACN-121997433-A

Abstract

The invention provides a photovoltaic laying area optimization method based on temperature field distribution, which relates to the technical field of photovoltaic laying, and adopts a heat transfer technology under the influence of an internal heat source, and adopts the photovoltaic surface temperature field distribution characteristics under extreme working conditions in winter to evaluate annual thermal environment influence trend, solve the problem of power generation prediction deviation caused by insufficient factors of traditional photovoltaic temperature data, and adopts an isotherm delimiting partition and optimized gradient Wen Oujie determination method to quantify the boundary expansion process of a high-temperature area into multistage adjustable control, systematically evaluate the influence of a thermal environment, realize the accurate regulation and control of the heat source interference avoidance degree and the photovoltaic laying area, effectively avoid the efficiency attenuation and potential safety hazards caused by local high temperature, construct an evaluation model, evaluate multiple laying modes through temperature loss, leveling electric cost and investment recovery period indexes, select an optimal laying scheme, and greatly improve the overall efficiency of a roof photovoltaic system.

Inventors

WANG QIONG
CHEN YINUO
ZHAO NANNAN
LIU YANFENG
LI YONG
FU YUQING
ZHANG YULING

Assignees

西安建筑科技大学

Dates

Publication Date: 20260508
Application Date: 20260129

Claims (8)

1. The photovoltaic laying area optimization method based on the temperature field distribution is characterized by comprising the following steps of: building a plant roof thermal environment simulation model, acquiring plant roof temperature field distribution data time by time, and selecting a temperature field under an extremely low-temperature working condition in winter as a thermal characteristic representation standard; The isotherm delimits and is laid in a zoning and optimizing mode, a plurality of stepped closed loop isotherms with continuous temperature thresholds are generated based on the plant roof temperature field distribution data, and the roof is divided into a high-temperature attenuation zone and a low-temperature safety zone through the closed loop isotherms; Generating a gradient avoidance strategy, and generating a plurality of gradient paving schemes according to the stepped closed loop isotherm, wherein no photovoltaic component is paved in the high-temperature attenuation region, and the photovoltaic component is paved in the low-temperature safety region to the maximum extent; and establishing a multi-objective evaluation system of leveling degree electricity cost and dynamic investment recovery period, evaluating the gradient paving schemes, and selecting an optimal paving scheme based on the evaluation result.
2. The method for optimizing a photovoltaic laying area based on temperature field distribution according to claim 1, wherein the temperature field simulation comprises the steps of: establishing a same-size 3D geometric model of a factory building comprising an internal heat source and a building structure; setting core boundary conditions including heat source surface temperature parameters, plant opening wind speed boundary conditions, solar radiation parameters and convection heat transfer parameters in a plant; based on the model and boundary conditions, performing grid division on a calculation domain to generate a discrete grid for numerical calculation; and acquiring time-by-time photovoltaic temperature field distribution data of the roof through simulation calculation.
3. The photovoltaic laying area optimization method based on temperature field distribution according to claim 2 is characterized in that grid division is specifically that a minimum unit mass value is set to be 0.0015-0.0016, angle refinement processing is conducted on all calculation domains, a unit size scale factor is set to be 0.3-0.4, and the total unit grid number is controlled to be 500,000-550,000.
4. The photovoltaic laying area optimization method based on temperature field distribution according to claim 1, wherein a high-temperature attenuation region is arranged in the closed loop isotherm, and a low-temperature safety region is arranged outside the closed loop isotherm.
5. The photovoltaic laying area optimization method based on temperature field distribution according to claim 1, wherein in the isotherm delimiting and partitioning optimization laying step, the step of generating a plurality of continuous temperature threshold closed loop isotherms is specifically: And taking the highest point in the photovoltaic temperature field distribution as a center, and outwards expanding at preset temperature change intervals to generate a plurality of closed loop isotherms with temperature values decreasing in sequence.
6. The photovoltaic laying area optimization method based on temperature field distribution according to claim 5, wherein the preset temperature change interval is 1 ℃, and the number of closed loop isotherms is 9.
7. A method of optimizing a photovoltaic lay-out area based on a temperature field distribution according to claim 1, wherein the number of graded lay-out schemes corresponds to the number of closed loop isotherms; For each isotherm, a lay-down scheme is generated that requires that the photovoltaic module not be laid down in the region not below the isotherm temperature threshold and that the photovoltaic module be laid down in the region below the isotherm temperature threshold.
8. A method of optimizing photovoltaic installation area based on temperature field distribution according to claim 1, characterized in that the criteria for selecting an optimal installation solution is to select a solution where the electrical cost of leveling and the dynamic investment recovery period reach a minimum simultaneously.

Description

Photovoltaic laying area optimization method based on temperature field distribution Technical Field The invention relates to the technical field of photovoltaic paving, in particular to a photovoltaic paving area optimization method based on temperature field distribution. Background Along with the promotion of the 'double carbon' target, photovoltaic power generation has become an important way for energy conservation and carbon reduction of iron and steel enterprises, and the roof area of a factory building is large, so that the factory building roof photovoltaic is suitable for paving large-area photovoltaic, and accordingly, the factory building roof photovoltaic is paid attention. At present, roof photovoltaic laying considers laying angles, shadow shielding and the like, and is concentrated on geometric parameters (such as inclination angles and azimuth angles) and shadow analysis, temperature rise of heat sources in a factory building on a roof and a photovoltaic panel is ignored, systematic evaluation on thermal environment influence is lacked, and meanwhile, temperature distribution of the factory building roof has obvious non-uniformity, and the temperature distribution is concentrated on a region right above the heat sources or in a region with poor ventilation by Wen Ouduo. If the temperature field characteristics are ignored, the photovoltaic panel is directly covered on the full roof, so that the power generation efficiency in a high-temperature area is suddenly reduced, and even a local hot spot effect is caused, so that the overall efficiency of the roof photovoltaic system is affected. In view of the above, the present inventors have specifically devised a photovoltaic laying area optimization method based on temperature field distribution, which results therefrom. Disclosure of Invention In order to solve the problems, the technical scheme of the invention is as follows: A photovoltaic laying area optimization method based on temperature field distribution comprises the following steps: building a plant roof thermal environment simulation model, acquiring plant roof temperature field distribution data time by time, and selecting a temperature field under an extremely low-temperature working condition in winter as a thermal characteristic representation standard; The isotherm delimits and is laid in a zoning and optimizing mode, a plurality of stepped closed loop isotherms with continuous temperature thresholds are generated based on the plant roof temperature field distribution data, and the roof is divided into a high-temperature attenuation zone and a low-temperature safety zone through the closed loop isotherms; Generating a gradient avoidance strategy, and generating a plurality of gradient paving schemes according to the stepped closed loop isotherm, wherein no photovoltaic component is paved in the high-temperature attenuation region, and the photovoltaic component is paved in the low-temperature safety region to the maximum extent; and establishing a multi-objective evaluation system of leveling degree electricity cost and dynamic investment recovery period, evaluating the gradient paving schemes, and selecting an optimal paving scheme based on the evaluation result. Preferably, the temperature field simulation comprises the steps of: Establishing a same-size 3D model of a factory building comprising an internal heat source and a building structure; setting core boundary conditions including heat source surface temperature parameters, plant opening wind speed boundary conditions, solar radiation parameters and convection heat transfer parameters in a plant; based on the model and boundary conditions, performing grid division on a calculation domain to generate a discrete grid for numerical calculation; and acquiring time-by-time photovoltaic temperature field distribution data of the roof through simulation calculation. Preferably, the grid division is specifically that a minimum unit quality value is set to be 0.0015-0.0016, angle refinement treatment is carried out on all calculation domains, a unit size scale factor is set to be 0.3-0.4, and the total unit grid number is controlled to be 500,000-550,000. Preferably, a high-temperature attenuation region is arranged in the closed loop isotherm, and a low-temperature safety region is arranged outside the closed loop isotherm. Preferably, in the step of the isotherm delimiting and partitioning optimizing paving, the step of generating the stepped closed loop isotherms with a plurality of continuous temperature thresholds is specifically: And taking the highest point in the photovoltaic temperature field distribution as a center, and outwards expanding at preset temperature change intervals to generate a plurality of closed loop isotherms with temperature values decreasing in sequence. Preferably, the preset temperature change interval is 1 ℃, and the number of the closed loop isotherms is 9. Preferably, the number of graded paving