Dynamic Load Control for Thermal Storage via Temperature Feedback
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Solution Overview
Problem
Current load control systems for energy supply networks, such as those managing storage heaters, rely on fixed parameterization based on statistical evaluations and are not capable of dynamic adjustments according to current temperature conditions, leading to operational inefficiencies.
Innovation Solution
Implementing a method that uses temperature sensors to dynamically control energy distribution to consumers, allowing for automated load management based on real-time temperature measurements, enabling precise adjustment of charging times and power levels for thermal consumers and generators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If fixed parameterization based on statistical evaluations is used, then operational simplicity is maintained, but adaptability to current temperature conditions deteriorates
Solution Approach 1:
The patent transforms the static, fixed parameterization system into a dynamic one by continuously measuring current temperature and automatically adjusting charging times and power levels. The load control system adapts its parameters in real-time based on actual temperature conditions rather than relying on pre-defined statistical evaluations, thereby resolving the contradiction between operational simplicity and adaptability.
Solution Approach 2:
The system changes the operational parameters (charging times, power levels) based on the measured temperature parameter. Instead of using fixed parameters derived from historical statistics, the system dynamically modifies these parameters according to current temperature measurements, enabling adaptability while maintaining automated operation that preserves simplicity.
2Device complexity
If manual parameterization by energy supply company is used, then system complexity is reduced, but automation level deteriorates
Solution Approach 1:
The load control system performs parameterization automatically based on temperature measurements without requiring manual intervention by the energy supply company. The system serves itself by autonomously determining optimal charging times and power levels according to current conditions, thereby increasing automation while the modular architecture keeps system complexity manageable.
Solution Approach 2:
The system incorporates feedback loops where temperature measurements are continuously monitored and fed back to automatically adjust load control parameters. This closed-loop control enables high-level automation where the system self-regulates based on real-time conditions, eliminating manual parameterization while maintaining reasonable complexity through standardized feedback mechanisms.
3Reliability
If fixed charging times are defined, then reliability of energy distribution is improved, but productivity of energy utilization deteriorates
Solution Approach 1:
The patent replaces fixed charging time schedules with dynamic time determination based on real-time temperature measurements. The system reliably distributes energy by continuously monitoring temperature conditions and automatically adjusting charging times to match actual thermal demands, thereby improving both reliability and productivity simultaneously rather than trading one for the other.
Solution Approach 2:
The system uses feedback from temperature sensors to dynamically adjust charging schedules. This ensures reliable energy distribution by responding to actual thermal conditions while maximizing productivity by charging storage heaters at optimal times when temperature conditions warrant it, eliminating the need to compromise between reliability and productivity.
Data Source
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AI summary
The method involves recording temperature values through substations using a temperature sensor (TF1) in a day, and detecting energy consuming values in a fixed time using an energy consuming counter (EZ1). A predefined adjusting value in the range of 0 to 100 percentage of loading power of a load group is determined, and a loading time for the load group is determined for each load group depending on the temperature values. The adjusting value and the loading time are transmitted to a thermal load via a transmitter for supplying the value and the loading time associated with energy.