System and method for thermo-fluid management of conditioned space

Patent metadata

Field	Value
Publication number	US-10949583-B2
Application number	US-201716310757-A
Country	US
Kind code	B2
Filing date	Jun 8, 2017
Priority date	Jun 16, 2016
Publication date	Mar 16, 2021
Grant date	Mar 16, 2021

Abstract

This disclosure relates generally to conditioned spaces, and more particularly to a system and method for thermo-fluid management in the conditioned space. In one embodiment, the method includes retrieving geometry and operational information of the conditioned space from a conditioned space data. A 3D geometry of the conditioned space is automatically generated in a format suitable for a mesh generation model for numerical analysis by parsing the conditioned space data. A mesh is created within the 3D geometry using the mesh generation model. A simulation data is generated based at least on an operational data of the plurality of components. The simulation data is applied on the mesh to simulate a thermo-fluid model of the conditioned space.

First claim

We claim:

1. A processor-implemented method for thermo-fluid management of a conditioned space having a plurality of components, the method comprising:
obtaining, via one or more hardware processors, a data input file comprising conditioned space data associated with the conditioned space;
automatically generating a 3D geometry of the conditioned space in a format suitable for a mesh generation model for numerical analysis, via the one or more hardware processors, wherein automatically generating the 3D geometry for numerical analysis comprises:
parsing the conditioned space data to obtain a geometrical data associated with the plurality of components of the conditioned space, wherein the geometrical data represents the plurality of components by a plurality of points, a plurality of lines and a plurality of surfaces with corresponding naming conventions,
creating, based on the parsed geometrical data, the 3D geometry of the conditioned space having the plurality of components in the format suitable for a mesh analysis;
creating a mesh within the 3D geometry using the mesh generation model, via the one or more hardware processors;
generating simulation data based at least on an operational data of the plurality of components, via the one or more hardware processors, the operational data representative of operational specifications of the plurality of components; and
applying the simulation data on the mesh to simulate a thermo-fluid model of the conditioned space, via the one or more hardware processors,
wherein creating the 3D geometry comprises obtaining a plurality of corner points from a plurality line pairs selected from the plurality of lines, and arranging each corner point of the plurality of corner points in an order of appearance in the conditioned space based on an identification of a nearest point in a direction corresponding to each corner point.

2. The method of claim 1 , further comprising assembling a component name-attribute list from the conditioned space data, the component name-attribute list comprising names of the plurality of components and a plurality of keywords associated with attributes of the plurality of components.

3. The method of claim 2 , wherein parsing the conditioned space data comprises:
iteratively checking for presence of each of the plurality of components of the component name-attribute list in the data input file;
extracting geometrical data of a set of components from among the plurality of components that are determined to be present in the data input file;
for each of the set of components, preparing point coordinates and assigning names for the set of components; and
storing the set of components with assigned names and respective point coordinates to obtain the parsed conditioned space data.

4. The method of claim 3 , wherein obtaining the plurality of corner points comprises:
performing iteratively, for a plurality of line pairs selected from the plurality of lines:
selecting a line pair from the data input file and determining distance measure between corresponding end-points of the line pair; and
determining whether lines of the line pair have one common point based on the distance measure between end-points for the line pair, wherein one non-zero distance measure and one zero distance measure between the end-points of the line pair is indicative of a corner point between the line pair.

5. The method of claim 4 , wherein creating the 3D geometry of the conditioned space further comprises:
performing iteratively for each component of the set of components selected from the component name-attribute list:
determining one or more sets of lines from the plurality of lines based on a set of corner points associated with the component, and assigning names to the set of lines based on the names of the set of corner points used to create the set of lines;

creating a plurality of surfaces by one or more set of lines from the plurality of lines appearing in single plane, and assigning names to the plurality of surfaces based on the names of the one or more sets of lines used to create the plurality of surfaces; and
combining the plurality of surfaces to create the 3D geometry, and assigning a name to the 3D geometry.

6. The method of claim 1 , wherein
generating the simulation data comprises:
parsing the conditioned space data to obtain operational data associated with the plurality of components; and
converting the operational data into the format suitable for computational fluid dynamics (CFD) analysis.

7. A system for thermo-fluid management of a conditioned space having a plurality of components, the system comprising:
one or more memories storing instructions; and
one or more hardware processors coupled to the one or more memories, wherein said
one or more hardware processors are configured by said instructions to:
obtain a data input file comprising conditioned space data associated with the conditioned space;
automatically generate a 3D geometry of the conditioned space in a format suitable for a mesh generation model for numerical analysis, wherein to automatically generating the 3D geometry, the one or more hardware processors are configured by said instructions to:
parse the conditioned space data to obtain a geometrical data associated with the plurality of components of the conditioned space, wherein the geometrical data represents the plurality of components by a plurality of points, a plurality of lines and a plurality of surfaces with corresponding naming conventions,
create, based on the parsed geometrical data, the 3D geometry of the conditioned space having the plurality of components in the format suitable for a mesh analysis;

create a mesh within the 3D geometry using the mesh generation model;
generate simulation data based at least on an operational data of the plurality of components, the operational data representative of operational specifications of the plurality of components; and
apply the simulation data on the mesh to simulate a thermo-fluid model of the conditioned space,

wherein creating the 3D geometry comprises obtaining a plurality of corner points from a plurality line pairs selected from the plurality of lines, and arranging each corner point of the plurality of corner points in an order of appearance in the conditioned space based on an identification of a nearest point in a direction corresponding to each corner point.

8. The system of claim 7 , wherein the one or more hardware processors are further configured by the instructions to assemble a component name-attribute list from the conditioned space data, the component name-attribute list comprising names of the plurality of components and a plurality of keywords associated with attributes of the plurality of components.

9. The system of claim 8 , wherein to parse the conditioned space data, the one or more hardware processors are further configured by the instructions to:
iteratively check for presence of each of the plurality of components of the component name-attribute list in the data input file;
extract geometrical data of a set of components from among the plurality of components that are determined to be present in the data input file;
for each of the set of components, prepare point coordinates and assigning names for the set of components; and
store the set of components with assigned names and respective point coordinates to obtain the parsed conditioned space data.

10. The system of claim 9 , wherein to obtain the plurality of corner points comprises, the one or more hardware processors are further configured by the instructions to:
perform iteratively, for a plurality of line pairs selected from the plurality of lines:
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Assignees

• Tata Consultancy Services Ltd

Inventors

• Ahmad Dilshad
• Kulkarni Hrishikesh Nilkanth
• Deodhar Anirudh

Classifications

• G06F30/23 Primary

  using finite element methods [FEM] or finite difference methods [FDM] · CPC title

• G06F2113/02

  Data centres · CPC title

• G06F30/13

  Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads · CPC title

• H05K7/20836 Primary

  Thermal management, e.g. server temperature control · CPC title

• G06F2119/08

  Thermal analysis or thermal optimisation · CPC title