Method and device for heat requirement controlled adaption of the supply temperature of a heating device
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Solution Overview
Problem
Conventional heating systems often result in discomfort due to excessive reduction of flow temperature, leading to insufficient heating, as they only react to changes in heat demand without determining the absolute level, causing overheating or underheating issues.
Innovation Solution
A method that determines a lowering limit for the flow temperature by evaluating changes in mass flow and return temperature, using fuzzy logic to adjust the flow temperature based on heat demand trends, and considering inactive heating elements to maintain comfort and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If the flow temperature is reduced based on heat demand trends, then energy efficiency is improved, but comfort deteriorates due to insufficient heating
Solution Approach 1:
The system continuously monitors heat demand trends and adjusts the flow temperature setpoint dynamically. When heat demand decreases, the flow temperature is reduced to save energy; when heat demand increases, the flow temperature is raised to maintain comfort. This closed-loop feedback mechanism resolves the contradiction by adapting the system response to actual conditions.
Solution Approach 2:
The patent transitions from static heating curves to dynamic adaptation of the flow temperature setpoint. The system continuously adjusts the flow temperature based on real-time heat demand trends, enabling the heating system to respond dynamically to changing conditions rather than following a fixed temperature profile.
2Reliability
If the flow temperature is increased to prevent insufficient heating, then comfort is improved, but energy consumption increases due to overheating
Solution Approach 1:
The system uses feedback from heat demand trend analysis to adjust the flow temperature setpoint. By continuously monitoring whether heat demand is increasing or decreasing, the system can reduce the flow temperature when comfort is sufficient and increase it only when necessary, avoiding both overheating and underheating scenarios.
Solution Approach 2:
The patent changes the operating parameters of the heating system dynamically based on heat demand trends. Instead of maintaining a fixed flow temperature or following a static heating curve, the system adjusts the flow temperature setpoint parameter in response to changing heat demand conditions, optimizing the balance between comfort and energy consumption.
3Loss of energy
If reactive control based on heat demand changes is used, then energy efficiency is improved, but the absolute level of flow temperature cannot be determined, leading to discomfort
Solution Approach 1:
The system performs preliminary determination of the flow temperature setpoint level before reactive adjustments are made. By establishing an appropriate baseline flow temperature level in advance and then making incremental adjustments based on heat demand trends, the system ensures that the absolute temperature level remains appropriate while still achieving energy efficiency through reactive control.
Data Source
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AI summary
A method and a device for adapting the flow temperature (ϑVL) of a heating system to the heat demand are described. The mass flow rate (ṁ) and the return temperature (ϑRL) are measured, and a heat demand trend (̇Q̇TEND) is determined from this. Based on this trend, the flow temperature (ϑVL) is set by increasing the flow temperature (ϑVL) when the heat demand increases and decreasing it when the heat demand decreases. To prevent excessive reduction of the flow temperature, a setback limit is determined for when the flow temperature (ϑVL) decreases, specifying the maximum reduction by which the flow temperature (ϑVL) is lowered.