Air Conditioning Heat Load Analysis Using Real-Time Sensor Feedback
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Solution Overview
Problem
Existing techniques for estimating heat flow in air conditioning systems lack accuracy due to insufficient reflection of actual environmental conditions and indoor air conditioner placement, leading to inaccurate calculations of heat flow in rooms.
Innovation Solution
An air conditioning operation analysis device that acquires air conditioning operation data, room information, and environmental information from sensors to calculate heat load data, simulating heat flow based on the configuration of the room and actual operating conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If heat flow is estimated based on general design conditions and catalog specifications, then the simulation can be performed with simple data, but the accuracy of estimating heat flow does not reflect actual operating results
Solution Approach 1:
The system continuously collects actual operational data from sensors and air conditioners, feeds this information back into the simulation model, and dynamically adjusts the heat flow estimation. This feedback mechanism ensures the simulation reflects real operating conditions rather than relying solely on static catalog specifications
Solution Approach 2:
The system automatically collects and processes its own operational data without requiring external manual input. Sensors continuously monitor environmental conditions and air conditioner performance, and the simulation device autonomously integrates this data to generate accurate heat flow estimates
2Measurement precision
If external heat amount is estimated based on weather conditions alone, then the estimation process is simple, but detailed indoor environment and site conditions cannot be reflected
Solution Approach 1:
The system divides heat estimation into separate components: external heat from weather conditions, internal heat from equipment and occupants, and heat transfer through building envelope. Each component is calculated independently using appropriate sensors and models, then combined to achieve comprehensive accuracy
Solution Approach 2:
The system transitions from one-dimensional weather-based estimation to multi-dimensional estimation by incorporating spatial distribution of sensors throughout the building, temporal variations in environmental conditions, and multiple heat transfer pathways through walls, windows, and roof
3Measurement precision
If air conditioning heat amount is estimated based on load current only, then the calculation is straightforward, but installation locations and number of units are not reflected
Solution Approach 1:
The system introduces an intermediary simulation model that translates electrical load current data into thermal output data. This model incorporates air conditioner installation locations, number of units, and thermal performance characteristics to accurately represent the relationship between electrical input and thermal output
Data Source
AI summary
An air conditioning operation analysis device includes: an air conditioning operation data acquirer that acquires air conditioning operation data of at least one air conditioner installed in a room, a room information acquirer that acquires room information indicating a configuration of the room, an environmental information data acquirer that acquires environmental information data from at least one sensor arranged in the room, and an outputter that outputs heat load data that is calculated based on the acquired air conditioning operation data, the acquired room information, and the acquired environmental information data.