Heating Control for Dual Heat Generators Under Variable Energy Costs
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Solution Overview
Problem
Existing heating systems with multiple heat generators lack the ability to optimize the flow temperature of the first heat generator based on current operating conditions and parameters, leading to suboptimal operation and increased costs.
Innovation Solution
A method that iteratively adjusts the flow temperature of the first heat generator in a heating system by considering desired heating temperatures, cost boundaries, outside temperatures, and return temperatures to minimize total operational costs, using a series connection of controllable heat generators and a control device that optimizes the flow temperature for efficient operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the flow temperature of the first heat generator is fixed or not adapted to current operating conditions, then the system operation is simplified, but the total operational costs increase and energy efficiency decreases
Solution Approach 1:
The invention applies dynamics by making the flow temperature of the first heat generator variable rather than fixed. The control device dynamically adjusts the flow temperature based on current operating conditions, outside temperature, and cost parameters, allowing the system to adapt to changing conditions and minimize operational costs while maintaining simplicity through automated control.
Solution Approach 2:
The invention implements feedback by using a control device that receives information about outside temperature, current flow temperature, and cost boundary conditions, then adjusts the flow temperature of the first heat generator accordingly. This closed-loop control system continuously optimizes the operating point based on real-time conditions, reducing energy consumption and costs.
2Device complexity
If the flow temperature of the first heat generator is fixed, then the control system is simpler, but the energy efficiency and cost optimization capability deteriorates
Solution Approach 1:
The control device performs self-service by automatically determining the optimized flow temperature based on input parameters (outside temperature, cost boundary conditions, etc.) without requiring complex manual intervention. The system uses pre-programmed optimization logic to autonomously adjust operating parameters, achieving energy efficiency improvements while keeping the control interface simple for users.
3Ease of operation
If the flow temperature is not adapted to current operating conditions, then the system is easier to operate, but CO2 emissions and energy consumption increase
Solution Approach 1:
The invention applies parameter changes by dynamically modifying the flow temperature parameter of the first heat generator based on outside temperature, cost boundary conditions, and operational requirements. This parameter adaptation allows the system to minimize energy consumption and CO2 emissions while maintaining ease of operation through automated control, without requiring user expertise in optimization parameters.
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 allows for the identification of the most cost-efficient flow temperature, reducing energy consumption and CO2 emissions, and adapting to changing cost conditions and time-dependent energy prices, thereby optimizing the overall operation of the heating system.
Implementation Method 1
a first heat generator (20) for heating a heating medium from the return temperature to a first flow temperature
Implementation Method 2
a second heat generator (30) for heating the heating medium from the first flow temperature to the desired heating temperature
Data Source
Figure 1
Figure 2
AI summary
The invention relates to a method for the optimized adjustment of a heating control of a heating system and/or hot-water preparing system (10) with two serially connected and controllable heat generators (20, 30) for heating an area (100) with a heating circuit (40). After the desired heating temperature for the heating circuit (40) of the area (100) to be heated and the cost boundary conditions to be optimized of the two heat generators (20, 30) are specified, the outer temperature around the area (100) to be heated and the return temperature from the heating circuit (40) to the first of the two heating generators (20) are determined. Subsequently, a first feed temperature for the first heat generator (20) is selected between the determined return temperature and the desired heating temperature, and the total costs for the operation of the heating system and/or hot-water preparing system (10) are calculated using the specified values and the determined values. Using the invention, a method and a heating system and/or hot-water preparing system (10) are provided by means of which the target feed temperature of the first heat generator (20) can be adjusted in an optimized manner.