Buildings are expected to be energy efficient but also to provide a comfortable environment to their occupants as well as to be durable. Indoor relative humidity influences the energy consumption, structure and the occupants’ comfort and health. Therefore, it is necessary to control and predict indoor environmental conditions. This work aims to simulate indoor temperatures and relative humidity in a multi-zone building model under realistic conditions, such as occupancy and moisture gains, operation of windows and doors and mechanical ventilation. The combined multi-zone air flow model is developed with TRNSYS and TRNFLOW and it is applied to a phase of the Twin Houses extended experiment of the international energy agency, energy in buildings and communities (IEA EBC) Annex 71. The main novelty of this work is to determine the masses of surface and deep moisture buffer storage by performing a multi-objective calibration of indoor temperatures and relative humidity. Results prove that building energy simulations need to model the moisture buffering of internal materials to accurately predict indoor humidity. The error in simulating relative humidity is reduced by 69% in the house with moisture gains after calibration of the masses of buffering materials. Moreover, the calibrated multi-zone building model shows a great agreement between simulated and measured data with an average root mean square error (RMSE) among thermal zones of 0.51 °C and 0.48 °C in indoor temperatures and 3.58% and 2.21% in relative humidity for the two houses in the validation period.

人们期望建筑物具有高能效，但也要为居住者提供舒适的环境并使其坚固耐用。室内相对湿度会影响能耗，结构以及乘员的舒适度和健康状况。因此，有必要控制和预测室内环境条件。这项工作旨在在实际条件下模拟多区域建筑模型中的室内温度和相对湿度，例如居住和湿度增加，门窗的操作以及机械通风。利用TRNSYS和TRNFLOW开发了组合的多区域空气流动模型，并将其应用于国际能源机构，建筑物和社区能源（IEA EBC）附件71的双子房屋扩展实验的一个阶段。这项工作的主要新颖之处在于，通过对室内温度和相对湿度进行多目标校准来确定表面和深层水分缓冲存储器的质量。结果证明，建筑能耗模拟需要对内部材料的水分缓冲进行建模，以准确预测室内湿度。在校准缓冲材料的质量后，随着湿度的增加，模拟相对湿度的误差在房屋中减少了69％。此外，经过校准的多区域建筑模型在室内温度为0.51°C和0.48°C，相对温度为3.58％和2.21％的热区中的模拟数据和实测数据之间具有很高的均方根误差（RMSE）。验证期内两栋房屋的湿度。