Method, apparatus and software for monitoring and improving the efficiency of a heat exchange system

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Solution Overview

Problem

Standard refrigeration systems face inefficiencies and potential damage due to fixed superheat values that cannot adapt to varying environmental conditions, leading to suboptimal performance and reduced lifespan at extreme temperatures.

Innovation Solution

A cloud-based and computer-implemented method that monitors and adjusts superheat and sub-cooling values in real-time using sensors and AI algorithms to optimize refrigerant flow through an efficiency-enhancing device positioned between the condenser and evaporator, ensuring maximum efficiency across a range of ambient temperatures.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If a fixed superheat value preset by the manufacturer is used, then the system operates reliably under normal conditions, but the system efficiency deteriorates under extreme ambient temperatures

Engineering Contradiction:
Improvesystem reliabilityVSAvoidsystem efficiency
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The patent implements dynamic adjustment of superheat values through an expansion valve controlled by a control box that receives real-time temperature and pressure data. The superheat value changes from a fixed manufacturer preset to a dynamic parameter that adapts to varying ambient conditions, allowing the system to maintain high efficiency across extreme temperature ranges while preserving reliability through continuous monitoring and adjustment.

Inventive Principle:
Principle #15Dynamics

2Temperature

If the superheat value is increased for high ambient temperatures, then more refrigerant enters the evaporator, but the compressor becomes overheated and efficiency reduces

Engineering Contradiction:
Improveevaporator temperatureVSAvoidcompressor power consumption
Core Design Contradiction:
TemperatureVSUse of energy by moving object

Solution Approach 1:

The control box receives real-time feedback from temperature sensors (indoor ambient temperature, outdoor ambient temperature, evaporator temperature, condenser temperature) and pressure sensors (evaporator pressure, condenser pressure). Based on this feedback, the system dynamically adjusts the expansion valve to optimize superheat, preventing compressor overheating by ensuring adequate refrigerant flow while maintaining energy efficiency.

Inventive Principle:
Principle #23Feedback

3Temperature

If the superheat value is decreased for low ambient temperatures, then less refrigerant enters the evaporator, but too much refrigerant returns to the compressor causing damage

Engineering Contradiction:
Improveevaporator temperatureVSAvoidcompressor lifespan
Core Design Contradiction:
TemperatureVSReliability

Solution Approach 1:

The system dynamically adjusts the superheat value based on real-time ambient temperature conditions. During low ambient temperatures, the control box increases the superheat value to reduce refrigerant flow to the evaporator, preventing liquid refrigerant from returning to and damaging the compressor. This dynamic adjustment preserves compressor lifespan while maintaining system reliability.

Inventive Principle:
Principle #15Dynamics

4Productivity

If real-time monitoring and dynamic adjustment of superheat is implemented, then system efficiency is optimized across varying conditions, but the device complexity increases

Engineering Contradiction:
Improvesystem efficiencyVSAvoidcontrol system complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The control box serves multiple functions: it receives data from multiple sensors (temperature and pressure sensors), processes this data to determine optimal superheat values, controls the expansion valve, and monitors system operation. By consolidating these functions into a single multi-functional control unit, the patent achieves dynamic optimization of system efficiency without proportionally increasing overall device complexity.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This solution dynamically adjusts superheat and sub-cooling values to minimize compressor power consumption and enhance overall system efficiency, preventing damage and extending the lifespan of the AC system by optimizing performance across varying environmental conditions.

Implementation Method 1

the evaporator coil causing excessive load on the evaporator coil

Methodology Applied
Scientific EffectHeat absorption: Absorption (EM radiation)

Implementation Method 2

the condenser's efficiency especially at high temperatures and pressures when the refrigerant requires more condensing and sub-cooling

Methodology Applied
Scientific EffectHeat release: Thermal Radiation

Implementation Method 3

These components work together to quickly convert the refrigerant from gas to liquid and back again

Methodology Applied
Scientific EffectPhase change: Phase Change

Implementation Method 4

The compressor raises the pressure and temperature of the refrigerant gas

Methodology Applied
Scientific EffectCompression: Compression

Implementation Method 5

the expansion valve which permits the liquid refrigerant to expand slowly into the evaporator

Methodology Applied
Scientific EffectExpansion: Pressure Gradient

Data Source

PatentUS12104834B2Method, apparatus and software for monitoring and improving the efficiency of a heat exchange system
Publication Date: 2024.10.01 KHOO CASS
  • US12104834B2 patent drawing
  • US12104834B2 patent drawing
  • US12104834B2 patent drawing

AI summary

A method of improving the efficiency of the heat exchange system using variable superheat and sub cooling values for a wide range of ambient conditions is provided. The heat exchange system comprises an efficiency enhancing apparatus positioned between the condenser and evaporator. Data analytics software module and artificial intelligence techniques are used to obtain optimum system parameters for achieving maximum efficiency.