Sensitivity Analysis of 4R3C Model Parameters with Respect to Structure and Geometric Characteristics of Buildings

Data-driven models, either simplified or detailed, have been extensively used in the literature for energy assessment buildings and districts. However, uncertainty of estimated parameters, especially thermal masses resistance–capacitance (RC) still remains a significant challenge, given wide variety functionalities, typologies, structures geometries. Therefore, sensitivity analysis parameters RC models with respect to different geometric characteristics is necessary examine accuracy identified models. In this work, heavy- light-structured are simulated Transient System Simulation Tool (TRNSYS) analyze effects four main on total heat demand, maximum power an model (4R3C), namely net-floor area, windows-to-floor ratio, aspect orientation angle. Executing more than 700 simulations TRNSYS comparing outcomes their corresponding 4R3C shows that resistances 4-facade building good regardless features, while insulation level has highest impact parameters. Importantly, results obtained also indicate can estimate indoor temperature mean square error less 0.5 °C all cases.