A method and system for optimizing energy consumption of intelligent building energy-consuming equipment
By building simulation scenarios in building energy-using equipment and optimizing layouts based on real-time lighting and lighting data, we solved the problem of Dynamo's insufficient performance in complex projects and achieved efficient equipment layout and energy consumption optimization.
CN119538558BActive Publication Date: 2025-10-28SICHUAN WATER CONSERVANCY VOCATIONAL & TECH COLLEGE +1
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Patent Information
- Application Number
- CN202411606736.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-12
- Publication Date
- 2025-10-28
- Estimated Expiration
- 2044-11-12
AI Technical Summary
Technical Problem
Among existing technologies, Dynamo has poor performance when handling complex construction projects, making it difficult to achieve efficient equipment layout optimization and flexible expansion, and unable to meet diverse architectural design needs.
Method used
By building simulated building scenes, creating lighting environments based on real-time sunlight and lighting data, adjusting the layout of lamps and energy-consuming equipment to achieve lighting goals and optimize lighting energy consumption.
Benefits of technology
A more efficient equipment layout is achieved, low energy consumption requirements are met, and energy consumption of building energy-using equipment is reduced.
✦ Generated by Eureka AI based on patent content.
Abstract
This invention discloses an energy consumption optimization method and system for intelligent building energy-consuming equipment, relating to the field of building energy-consuming equipment layout. It discloses a method for creating a simulated real-time lighting environment based on real-time solar radiation parameters and indoor lighting data; determining whether the current indoor illuminance and illumination range meet preset lighting targets; optimizing indoor lighting data when not meeting targets; predicting the indoor lighting energy consumption of the simulated building scene based on the indoor lighting data when targets are met; and increasing the illuminance and / or illumination range of multiple energy-consuming equipment by adjusting the layout scheme of lighting fixtures and energy-consuming equipment, and adjusting the number and brightness of each corresponding lighting fixture based on the increased illuminance and / or illumination range to optimize the indoor lighting energy consumption of the simulated building scene. This invention meets the demand for low energy consumption and achieves a more efficient equipment layout.
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