JP-2026074510-A - Thermal environment estimation device, thermal environment estimation method, and thermal environment estimation program

Abstract

[Challenge] To improve the technology for estimating the thermal environment of living spaces. [Solution] The thermal environment estimation device comprises a thermal environment simulator 124 that simulates the thermal environment in a three-dimensional model representing the shape of the living space using computational fluid dynamics, and a gap arrangement unit 122 that arranges gaps at the boundary of the living space through which air can circulate in the thermal environment simulation by the thermal environment simulator 124. [Selection Diagram] Figure 4

Inventors

• 宮澤 千顕
• 木村 藍香
• 戸井田 直行

Assignees

• 株式会社LIXIL

Dates

Publication Date

20260507

Application Date

20241021

Claims (11)

1. A simulator that uses computational fluid dynamics to simulate the thermal environment in a three-dimensional model representing the shape of a living space, In the simulation of the thermal environment using the aforementioned simulator, a gap arrangement section is provided at the boundary of the living space, where gaps through which air can circulate are arranged. A thermal environment estimation device equipped with the following features.
2. The thermal environment estimation device according to claim 1, further comprising a learning unit that learns a thermal environment estimation model that outputs the thermal environment in a living space by inputting the shape of the living space, using the results of simulating the thermal environment in a plurality of three-dimensional models having different shapes using the simulator as learning data.
3. The thermal environment estimation device according to claim 2, wherein the learning data includes the three-dimensional model and the simulation results of the thermal environment in the three-dimensional model, rotated or inverted while maintaining the vertical direction.
4. The thermal environment estimation device according to any one of claims 1 to 3, wherein the mesh data constituting the three-dimensional model includes data representing the attributes of the components of the living space.
5. The thermal environment estimation device according to claim 4, wherein the components include at least one of a ceiling, floor, interior wall, exterior wall, window, door, and heating and cooling equipment.
6. On the computer, The steps involve simulating the thermal environment in a three-dimensional model representing the shape of a living space using computational fluid dynamics, In the simulation of the thermal environment in the aforementioned simulation step, the step of arranging gaps that allow air to circulate at the boundary of the living space, A method for estimating the thermal environment to perform this operation.
7. Computers, A simulator that uses computational fluid dynamics to simulate the thermal environment in a three-dimensional model representing the shape of a living space, In the simulation of the thermal environment using the aforementioned simulator, a gap arrangement section is provided at the boundary of the living space, where gaps through which air can circulate are arranged. A thermal environment estimation program designed to function as such.
8. A simulator that uses computational fluid dynamics to simulate the thermal environment in a three-dimensional model representing the shape of a living space, A learning unit learns a thermal environment estimation model that takes the shape of a living space as input and outputs the thermal environment in a living space, using the results of simulating the thermal environment in multiple three-dimensional models having different shapes using the simulator as training data. Equipped with, The learning data includes the three-dimensional model and the simulation results of the thermal environment in the three-dimensional model, rotated or inverted while maintaining the vertical direction, in a thermal environment estimation device.
9. A thermal environment estimation device comprising a thermal environment estimation unit that estimates the thermal environment in a living space by inputting data representing the shape of the living space into a trained thermal environment estimation model that takes data representing the shape of the living space as input and outputs data representing the thermal environment in the living space.
10. The thermal environment estimation device according to claim 9, wherein the thermal environment estimation model is trained using a three-dimensional model representing the shape of the living space and the results of simulating the thermal environment in the living space using computational fluid dynamics as training data.
11. The thermal environment estimation device according to claim 10, wherein the mesh size of the mesh data representing the shape of the living space that the thermal environment estimation unit inputs to the thermal environment estimation model is larger than the mesh size of the mesh data representing the shape of the living space used in the computational fluid dynamics simulation when the thermal environment estimation model was trained.

Description

This disclosure relates to a thermal environment estimation device, a thermal environment estimation method, and a thermal environment estimation program for estimating the thermal environment of a living space. Currently, the government is promoting the widespread adoption of home renovations that improve living comfort. Specifically, efforts are being made to develop technologies that improve the thermal environment of homes while reducing energy consumption, and to promote the adoption of Net Zero Energy Houses (ZEH). A ZEH is defined as "a house that aims to achieve a net-zero balance of annual primary energy consumption by significantly improving the insulation performance of the building envelope, introducing highly efficient equipment systems to achieve substantial energy savings while maintaining the quality of the indoor environment, and incorporating renewable energy." To achieve the government's goal of "achieving ZEH in more than half of newly built custom-designed detached houses by 2020, and in the average new house by 2030," house builders and other companies are developing various technologies to realize ZEH. The insulation performance of building materials used in homes and other structures has improved significantly compared to the past, resulting in substantial energy savings in newly built detached houses. Japanese Patent Publication No. 2003-067448 This is a diagram showing the configuration of the thermal environment estimation system according to the embodiment.This is a flowchart showing the procedure for the thermal environment estimation method according to the embodiment.This is a flowchart showing the procedure for the thermal environment estimation method according to the embodiment.This diagram shows the configuration of the learning device according to the embodiment.This figure shows the configuration of the thermal environment estimation device according to the embodiment.This is a diagram showing an example of a living space.This figure shows an example of a three-dimensional model representing the shape of the living space shown in Figure 6.This figure shows the results of measuring the temperature distribution in the living space shown in Figure 6.This figure shows the results of estimating the temperature distribution in the three-dimensional model shown in Figure 7, using a trained thermal environment estimation model that was learned by the thermal environment estimation method of the embodiment. In the embodiments described herein, a technique for estimating the thermal environment of a living space, such as a house, will be explained. Figure 1 shows the configuration of a thermal environment estimation system according to an embodiment. The thermal environment estimation system 1 comprises a learning device 100, a learning data generation device 150, a thermal environment estimation device 200, a terminal device 2, and an internet 3, which is an example of a communication network connecting these devices. The learning device 100 learns a thermal environment estimation model for estimating the thermal environment of a living space. The learning device 100 uses the results of a computational fluid dynamics (NFD) simulation of the thermal environment in the living space as training data to learn a thermal environment estimation model, which is a surrogate model that acts as a proxy for the NFD simulation. The thermal environment estimation model takes data representing the shape of the living space as input and outputs data representing the thermal environment in the living space. The training data generation device 150 generates training data for the thermal environment estimation model to learn from the training data 100. The training data generation device 150 may be implemented using the same device as the training device 100, or it may be implemented using a different device. In the following description, the training data generation device 150 will be implemented using the same device as the training device 100. The thermal environment estimation device 200 estimates the thermal environment of the living space using a thermal environment estimation model learned by the learning device 100, and presents the estimated thermal environment to the terminal device 2. The thermal environment of the living space may include the temperature distribution of the living space, the average temperature, the temperature at a specific location, etc. The thermal environment estimation device 200 may also present an image representing the thermal environment of the living space superimposed on an image of the living space. According to the thermal environment estimation system 1 of this embodiment, residents can understand the thermal environment of their living space, allowing them to consider renovations to improve the thermal environment. Furthermore, this system promotes renovations to improve the thermal environment of living spaces, thereby contributing to the widespread adop