Optimum of heat recovery

This data file is an Excel tool to calculate the optimized temperature transfer efficiency and the combinded pressure loss of a heat recovery system based on an optimized air velocity. The calculation is based on the following input factors: - Price for Heating 0.04 to 0.16 €/kWh - Price for electricty 0.06 to 0.36 €/kWh - Extract air temperature 18 to 28 °C - Supply air temperature 14 to 22 °C - Out door air temperature -15 to +2.5 °C - Load 40 to 100% - Operating time 2,350 to 8,760 h/a The calculations are based on multi-dimensional optimisations of a medium air handling unit. The proposed model is based on individual regressions of the various influencing factors. A factor is derived based on a change in the respective influencing parameter. The modell may be comparerd with the multiple regressions without energy prices and supply air temperaturen are available at: https://data.mendeley.com/datasets/w7sw8njrz5/1 (DOI: 10.17632/w7sw8njrz5.1) The input data are highlighted in green. The uncertainty of the modell is calculated and shown as well.本数据文件为一款Excel工具，可基于优化后的空气流速计算热回收系统的优化温度传递效率与综合压力损失。 该计算基于以下输入参数： - 供暖价格：0.04 至 0.16 欧元/千瓦时 - 电力价格：0.06 至 0.36 欧元/千瓦时 - 排风温度：18 至 28 °C - 送风温度：14 至 22 °C - 室外空气温度：-15 至 +2.5 °C - 负荷：40% 至 100% - 运行时长：2350 至 8760 小时/年 本次计算基于中型空气处理机组（Air Handling Unit）的多维优化方案。 所提出的模型依托各影响因子的独立回归分析构建，每个因子均通过对应影响参数的变化推导得出。 该模型可与不含能源价格及送风温度的多元回归模型进行对比，相关数据集可访问：https://data.mendeley.com/datasets/w7sw8njrz5/1（DOI：10.17632/w7sw8njrz5.1） 输入数据以绿色高亮标记。 模型的不确定性亦已完成计算并予以展示。