Method and device for determining a heating characteristic and heating installation with such device
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Solution Overview
Problem
Existing heating systems face challenges in accurately determining heating characteristics and optimizing energy efficiency, as current methods are limited by resolution, speed, and accuracy, especially during transitions between operating modes, leading to inefficient energy use and potential comfort issues.
Innovation Solution
A method involving continuous recording of operating values over short intervals, using a mathematical model with two sub-models to describe dependencies on both outside temperature and time, allowing for precise identification of switching times and heating characteristic changes, enabling real-time adjustments and fault detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If continuous recording of operating values over short intervals is implemented, then measurement precision and detection speed improve, but device complexity and data processing requirements increase
Solution Approach 1:
The patent segments the determination process into two distinct sub-models: one for switching times and one for heating characteristic curves. This segmentation allows each sub-model to focus on specific aspects, simplifying the overall complexity while maintaining high measurement precision through continuous recording.
Solution Approach 2:
The patent introduces a mathematical model with two sub-models as an intermediary between the continuous recording system and the final heating characteristic determination. This intermediary processes the continuous data stream, extracting switching times and heating characteristics separately, thereby managing data complexity while preserving measurement precision.
2Adaptability or versatility
If heating curve parameters are manually adjusted during commissioning, then adaptability to specific heating systems is improved, but time consumption and labor requirements increase
Solution Approach 1:
The system performs self-adjustment by automatically determining heating characteristic curves from recorded operating data. The two sub-models enable the system to autonomously identify switching times and calculate heating characteristics without manual intervention, maintaining adaptability while eliminating commissioning time losses.
Solution Approach 2:
The patent implements feedback by continuously recording operating values and using the mathematical models to automatically adjust heating curve parameters based on actual system performance. This closed-loop approach ensures adaptability to specific heating systems while eliminating manual commissioning requirements.
3Reliability
If flow temperature is increased to ensure sufficient heat supply, then heating reliability improves, but energy consumption increases
Solution Approach 1:
The patent applies dynamics by continuously adapting the heating characteristic curves based on recorded operating data and identified switching times. This dynamic adjustment allows the system to optimize flow temperature in real-time, ensuring sufficient heat supply reliability while minimizing energy consumption through precise temperature control.
Solution Approach 2:
The system changes parameters by automatically adjusting heating curve parameters based on mathematical model analysis of operating data. This parameter optimization ensures the flow temperature is precisely adjusted to meet heating demands, maintaining reliability while reducing unnecessary energy consumption.
4Device complexity
If transitions between operating modes are detected with low resolution, then device complexity is reduced, but detection accuracy and response speed worsen
Solution Approach 1:
The patent segments the detection task into two separate sub-models: one dedicated to switching time detection and another for heating characteristic analysis. This segmentation enables high detection accuracy for switching times without increasing overall device complexity, as each sub-model handles a specific aspect independently.
Solution Approach 2:
The mathematical model with two sub-models serves as an intermediary that processes continuous operating data to accurately detect switching times. This intermediary structure maintains detection accuracy while managing system complexity through modular processing.
Data Source
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AI summary
A method and a device for determining a heating characteristic curve of at least one heating circuit of a heating system (1) in a property are described, in which a first operating value (BW1) of the heating system (1) and a second operating value (BW2) of the heating system (1) are recorded as a function of time and the dependence of the operating values (BW1, BW2) on each other is described by adjusting parameters of a mathematical model and thus the heating characteristic curve is determined.The system is designed to record not only the first operating value (BW1) and the second operating value (BW2), but also the recording time (t) of both values. The mathematical model comprises two sub-models: a first sub-model (B) describes the dependence of the first operating value (BW1) solely on the second operating value (BW2) as a variable, and a second sub-model (A) describes the dependence of the first operating value (BW1) solely on the recording time (t) as a variable. A heating system equipped with such a device is described (Fig. 1).