Hybrid Cascade Boiler Controller for Dynamic Load-Based Selection

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Solution Overview

Problem

Current cascade boiler control systems are inefficient due to their inability to determine the most efficient boiler to operate based on current load demand, type, and capacity, often relying on static temperature differentials and failing to account for varying boiler capacities, leading to excessive cycling and inefficient energy use.

Innovation Solution

A controller system that receives real-time data from sensors to determine the current load demand and selects the appropriate condensing or non-condensing boilers based on load thresholds, capacities, and operational settings, including parallel or sequential control modes, to optimize energy use and prevent excessive cycling.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If a static, predetermined temperature differential is used to control boiler operation, then the control system is simple to implement, but the system efficiency deteriorates due to excessive cycling and inability to respond to changes in load demand

Engineering Contradiction:
Improvecontrol system complexityVSAvoidsystem efficiency
Core Design Contradiction:
Device complexityVSLoss of energy

Solution Approach 1:

The patent implements dynamic control by continuously monitoring supply water temperature and return water temperature to calculate real-time temperature differential values. This dynamic adjustment allows the control system to respond to changing load demands and select appropriate boilers based on current operating conditions, thereby improving system efficiency while maintaining reasonable complexity through automated sensor-based control.

Inventive Principle:
Principle #15Dynamics

2Device complexity

If the control system operates based solely on ambient temperature and supply water temperature with an assumed temperature differential, then the control logic is simple, but the accuracy of load demand determination deteriorates

Engineering Contradiction:
Improvecontrol logic complexityVSAvoidload demand determination accuracy
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The patent employs feedback control by installing return water temperature sensors that continuously monitor the actual temperature of water returning to the boiler. This feedback mechanism allows the control system to calculate the true temperature differential and determine accurate load demand values, replacing the previous assumed differential approach with real-time measured data for precise boiler selection.

Inventive Principle:
Principle #23Feedback

3Adaptability or versatility

If hybrid boiler systems include condensing and non-condensing boilers with varying capacities, then the system can potentially operate more efficiently at different loads, but the control system's ability to select the appropriate boiler deteriorates due to inability to consider boiler types and capacities

Engineering Contradiction:
Improvesystem adaptability to different loadsVSAvoidboiler selection capability
Core Design Contradiction:
Adaptability or versatilityVSEase of operation

Solution Approach 1:

The patent utilizes parameter changes by establishing multiple load demand thresholds and corresponding boiler selection criteria based on temperature differential values. The control system compares real-time temperature differential measurements against predetermined thresholds and selects appropriate boilers (condensing or non-condensing, and specific capacities) based on which threshold range the current parameters fall into, enabling intelligent adaptation to varying load conditions.

Inventive Principle:
Principle #35Parameter changes

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

The system enhances the efficiency of hybrid boiler systems by dynamically selecting the most suitable boilers for the current load demand, reducing energy waste and extending boiler lifespan through intelligent load management.

Implementation Method 1

receive supply water temperature data from a supply water temperature sensor. The supply water temperature data can be indicative of a temperature of water supplied from a boiler system

Methodology Applied
Scientific EffectTemperature sensing: Thermocouple

Implementation Method 2

receive, from a return water temperature sensor, return water temperature data indicative of a temperature of water returning to the boiler system

Methodology Applied
Scientific EffectTemperature sensing: Thermocouple

Implementation Method 3

Condensing boilers are designed to extract more latent heat out of the combustion gases to the point where moisture in the flue gas will begin to condense

Methodology Applied
Scientific EffectLatent heat extraction: Latent Heat

Implementation Method 4

moisture in the flue gas will begin to condense and can accumulate in the exhaust

Methodology Applied
Scientific EffectCondensation: Condensation

Implementation Method 5

Both non-condensing and condensing boilers are designed to consume fuel in a burner and pass the resultant combustion gases through a heat exchanger to heat water

Methodology Applied
Scientific EffectHeat exchange: Heat Exchanger

Data Source

PatentUS11326802B2Systems and methods for intelligently controlling a hybrid cascade boiler system
Publication Date: 2022.05.10 RHEEM MFG CO
  • US11326802B2 patent drawing
  • US11326802B2 patent drawing
  • US11326802B2 patent drawing

AI summary

The disclosed technology includes a controller for a cascade boiler system having both condensing and non-condensing boilers. The controller can receive supply water temperature data and return water temperature data to determine a current temperature differential in the system. The controller can determine a current load demand value using the current temperature differential and a set point temperature. If the current load demand value is less than or equal to a first load demand threshold, the controller can output a control signal for a condensing boiler to transition to a heating mode. If the current load demand value is greater than a second load demand threshold, the controller can output a control signal for a non-condensing boiler to transition to a heating mode.