Method for controlling air conditioning system, air conditioning system, computer-readable storage medium, mobile terminal device and server
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Solution Overview
Problem
Existing air conditioning system control methods focus on reducing energy consumption but often compromise comfort by maintaining a stable temperature, which may not align with optimal energy usage.
Innovation Solution
A method for controlling an air conditioning system that acquires occupancy and electric energy information, generates energy storage instructions based on predetermined conditions, and executes these instructions by adjusting indoor unit settings to optimize energy usage while maintaining comfort.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the air conditioning system maintains a stable temperature within a specific range during working hours, then the comfort of people in the building is improved, but the consumed electric energy increases
Solution Approach 1:
The system performs preliminary cooling or heating of the building before peak demand periods by storing energy in thermal storage media (water tanks, phase change materials, or building structures). This allows the air conditioning system to pre-condition the space when electricity is abundant or cheaper, then rely on stored thermal energy during peak hours, reducing the need for continuous high-power operation while maintaining comfort.
Solution Approach 2:
The system dynamically adjusts temperature setpoints and operational parameters based on real-time electricity pricing, weather forecasts, and occupancy patterns. By allowing temporary deviations from the ideal temperature range during off-peak hours and compensating during peak hours using stored energy, the system optimizes the balance between comfort and energy consumption.
2Use of energy by moving object
If the air conditioning system turns off during non-working hours to reduce energy consumption, then the consumed electric energy decreases, but the readiness to provide comfort upon returning increases
Solution Approach 1:
The system uses thermal storage to pre-condition the building during non-working hours by storing cooling or heating energy. When the building becomes occupied again, the stored thermal energy maintains comfortable temperatures without requiring immediate system operation, ensuring both energy savings and comfort readiness.
Solution Approach 2:
Thermal storage media act as an intermediary between the air conditioning system and the building environment. The storage media retain thermal energy during off-hours and release it when needed, decoupling the system operation from immediate comfort requirements and enabling flexible scheduling that reduces energy consumption while maintaining reliability.
3Use of energy by moving object
If the air conditioning system focuses on reducing energy consumption, then the operational costs decrease, but the reasonable utilization of electric energy deteriorates
Solution Approach 1:
The system continuously monitors real-time electricity pricing, carbon emission factors, weather conditions, and building thermal response. This feedback enables dynamic optimization of operation schedules to not only reduce costs but also maximize the utilization of clean energy sources and minimize carbon footprint by operating during periods of high renewable energy availability.
Solution Approach 2:
The system transitions from static, fixed schedules to dynamic, adaptive operation that responds to real-time conditions including electricity pricing fluctuations, weather forecasts, and occupancy patterns. This dynamic approach allows the system to seize opportunities for efficient energy utilization while maintaining comfort, rather than following rigid predetermined schedules.
4Ease of operation
If the air conditioning system uses a common control method to stabilize temperature, then the comfort is maintained, but the greenhouse gas emissions increase
Solution Approach 1:
The system pre-cools or pre-heats the building during periods when renewable energy is abundant or carbon emissions are low, storing thermal energy for later use. This shifts the energy demand away from peak hours that often rely on fossil fuel-based generation, thereby reducing greenhouse gas emissions while maintaining comfort through stored thermal energy.
Solution Approach 2:
The system dynamically adjusts operational parameters based on real-time carbon emission factors and weather forecasts, optimizing the balance between comfort and emissions. By allowing flexible temperature variations within acceptable ranges and using predictive control, the system minimizes reliance on high-carbon energy sources while maintaining occupant comfort.
Data Source
AI summary
This application aims to provides a method for controlling an air conditioning system, an air conditioning system, a computer-readable storage medium, a mobile terminal device and a server so as to at least solve or alleviate part of the problems in the prior art. In the first aspect, this application provides a method for controlling an air conditioning system, the air conditioning system including a plurality of indoor units arranged in different regions. The control method includes: a step for acquiring occupancy information, acquiring occupancy information of the region; a step for acquiring electric energy information, acquiring electric energy information containing an electric energy characteristic; and a step for generating an energy storage instruction, generating an energy storage instruction for a specific region on the basis of the occupancy information when the electric energy information satisfies a predetermined energy storage condition.