Heating System Flow Temperature Control for Heat Gain Adaptation
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Solution Overview
Problem
Current heating systems are inefficient due to the lack of consideration for heat gains, leading to unstable operation, high energy losses, and reduced performance, as they primarily compensate for heat losses without accounting for user interventions or internal heat gains, resulting in an oversized heat generator and inefficient energy use.
Innovation Solution
A method to adjust the target flow temperature dynamically based on changes in heat generator output and volume flow, recognizing heat gains and user interventions, allowing for gradual reduction of the target flow temperature to maintain stable system operation and user comfort, while accounting for external temperature changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the heating system compensates for heat losses using a fixed heating curve, then the system ensures sufficient heat supply in worst-case scenarios, but the system operates inefficiently when heat gains are present, leading to excessive energy consumption
Solution Approach 1:
The heating curve is transformed from a static fixed curve to a dynamic adaptive curve that automatically adjusts target flow temperatures based on real-time monitoring of heat generator output and volume flow changes. This allows the system to adapt to actual heat gains and losses, maintaining reliability while reducing energy waste during periods with significant heat gains.
Solution Approach 2:
The system implements feedback control by continuously monitoring changes in heat generator output and volume flow, then using this information to adjust the heating curve. The control device detects deviations from expected operation and modifies target temperatures accordingly, creating a closed-loop system that responds to actual system conditions rather than relying on predetermined fixed curves.
2Reliability
If the target flow temperature is set high as a safety measure, then the system ensures sufficient heat supply, but the temperature level on the production side is higher than actual demand, resulting in increased heat losses from pipes
Solution Approach 1:
Target flow temperatures are dynamically adjusted based on actual system conditions rather than maintaining fixed high safety margins. The system monitors heat generator output and volume flow changes to determine appropriate temperature levels, reducing temperatures when heat gains are present and maintaining them when heat losses require higher supply temperatures.
Solution Approach 2:
The system changes the temperature parameter of the heating medium based on detected operational conditions. By monitoring heat generator output and volume flow, the system adjusts target flow temperatures to match actual demand, preventing excessive temperatures that would cause pipe heat losses while ensuring sufficient temperatures when needed for reliability.
3Loss of energy
If the volume flow is reduced to match lower heating demand, then energy consumption decreases, but the transport time for heating water increases, causing the heating water to cool down significantly
Solution Approach 1:
The system simultaneously adjusts both temperature and flow parameters to match actual heating demand. When heat gains are present, the system reduces target flow temperatures and/or volume flows proportionally, maintaining the balance between energy consumption and transport time. The dynamic heating curve coordination ensures that parameter changes occur in a coordinated manner to prevent excessive cooling during transport.
Solution Approach 2:
The system dynamically coordinates changes in temperature and flow parameters based on real-time conditions. Rather than independently adjusting flow or temperature, the adaptive heating curve system modifies both parameters in coordination, ensuring that when volume flow is reduced to save energy, the target temperature is adjusted to compensate for the increased transport time, maintaining delivery temperature within acceptable ranges.
4Loss of energy
If the heat generator output is reduced to match actual demand, then energy efficiency improves, but the heat generator works in cycle mode below the lower modulation limit, causing increased starting emissions
Solution Approach 1:
The adaptive heating curve enables dynamic adjustment of target flow temperatures to keep the heat generator operating within its efficient modulation range. By coordinating temperature and flow changes, the system prevents the heat generator output from falling below the lower modulation limit, maintaining continuous stable operation and avoiding cycle mode that would generate starting emissions, while still achieving energy efficiency through optimized temperature levels.
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 approach enhances the energy efficiency of heating systems by reducing energy losses, stabilizing system operation, and maintaining user comfort by dynamically adjusting the target flow temperature in response to changing heat demands, thereby optimizing heat distribution and generator performance.
Implementation Method 1
a heating medium is used to transport heat from the generator to individual heat exchangers... the heating medium, for example water, is circulated using, for example, a central pump
Implementation Method 2
The heating medium is heated by the heat generator
Implementation Method 3
The heated heating medium flows to the individual heat exchangers... The heating medium is thereby cooled
Data Source
Figure 1~2
Figure 3~4
Figure 5
AI summary
Method for operating a heating system with a central pump (4), at least one consumer (5) and at least one heat generator (1), wherein the volume flow rate and/or the signal of the heat generator output is recorded and/or the gradient of the flow temperature and/or the integration of the control deviation between setpoint and actual flow temperature over time are formed, and the adaptation of the flow temperature is adjusted depending on the effects resulting from the heat gains or user interventions.