该程序具有一个可以确定辐射供热系统最佳供水温度的独特功能。最佳化供水温度过程中使用了考虑多个参数及其权重的专有算法。
最佳化标准可以从以下选项中选择: 热输出和压降 or 最小投资成本。在计算过程中，评估了数百个系统参数的配置选项，以实现所需的热输出。
Location in the program
The 最佳化 function for the selected control circuit/circuits can be used on the源 tab available in the 一般参数 window, or in the 交互式辐射系统计算 window.
1. Temperature optimization in 一般参数.
2. Temperature optimization in 交互式辐射系统计算.
Examples of use
Optimization criterion
The user can select the optimization criterion from the following variants:
热输出和压降 - the program tries to select a supply temperature that ensures that the thermal efficiency of individual heating/cooling surfaces is as close as possible to the required one, while meeting the overheating/underheating tolerance ranges and maintaining the lowest possible pressure losses.
最小投资成本 - the program tries to select a supply temperature that ensures that the thermal efficiency of individual heating/cooling surfaces is as close as possible to the required one, while minimizing investment costs (which in practice usually means a higher supply temperature).
Criterion for determining the supply temperature
After starting the calculations, the program determines the optimal supply temperature for the indicated control circuit/circuits, taking into account the selected criterion according to the following rules:
The supply temperature is selected from the <min,max> range specified in the heat source data. The calculations are performed with high precision using a temperature increment of 0.1 K. For each intermediate value of the supply temperature, complete calculations of the radiant heating installation are performed, where the variables are: pipe spacing, number of loops and temperature drop of the medium in the loop. First, the preferred spacing configurations are those for which, according to the settings in the Advanced Settings tab, the heating outputs fall within the 'Matching' range. Second priority is given to those classified as 'Moderately Mismatched'. Finally, if no spacing configurations allow for achieving the required heating output (within the entire permissible supply temperature range) within the specified tolerance, the remaining spacing options are considered. In such cases, the heating outputs obtained from the selected or all surfaces may be significantly too high or too low.
This process generates the so-called 'quality function', which is graphically represented as a polyline on 图形最佳化. 3. 控制回路. 4. 图形最佳化.
Next, the point with the best value of the quality function is selected (the highest on the 图形最佳化).). In the case where multiple temperatures have the same maximum value of the quality function (within a certain tolerance), the program chooses the lowest of them.
The shape of the quality function also depends on the selected variant of supply temperature optimization:
For the 热输出和压降 criterion, the parameters mainly affecting user comfort are considered, i.e., the possibility of achieving a lower floor temperature, but also theoretically the possibility of changing the floor covering.
For the 最小投资成本 criterion, in addition to the parameters influencing user comfort, investment costs are also taken into account. Hence, solutions that allow for larger pipe spacing and, for example, the use of a manifold with fewer circuits are preferred.
It is possible to obtain an identical supply temperature value for both optimization criteria, but most often the program will then select different values of pipe spacing. This results from the fact that the quality function for temperature behaves differently for the two criteria, although its maximum may occur at the same point. However, for the same value under the 最小投资成本 criterion, the program will select a larger spacing in order to reduce the total pipe length.
An error message may occur indicating that it is not possible to determine the supply temperature (e.g., if the required heating capacity is too high compared to the system’s capability). In such a case, the program adopts the maximum value defined for the given control circuit (source/mixing valve/mixing unit).
