TY - JOUR A1 - Kozachynskyi, Volodymyr A1 - Hoffmann, Christian A1 - Esche, Erik T1 - Why fixing alpha in the NRTL model might be a bad idea – Identifiability analysis of binary vapor-liquid equilibria N2 - New vapor-liquid equilibrium (VLE) data are continuously being measured and new parameter values, e.g., for the nonrandom two-liquid (NRTL) model are estimated and published. The parameter α, the nonrandomness parameter of NRTL, is often not estimated but is heuristically fixed to a constant value based on the involved components. This can be seen as a manual application of a (subset selection) regularization method. In this work, the practical parameter identifiability of the NRTL model for describing the VLE is analyzed. It is shown that fixing α is not always a good decision and sometimes leads to worse prediction properties of the final parameter estimates. Popular regularization techniques are compared and Generalized Orthogonalization is proposed as an alternative to this heuristic. In addition, the sequential Optimal Experimental Design and Parameter Estimation (sOED-PE) method is applied to study the influence of the regularization methods on the performance of the sOED-PE loop. KW - NRTL KW - VLE KW - Nonlinear programming KW - Model-based optimal experimental design PY - 2025 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-623605 DO - https://doi.org/10.1016/j.ces.2024.121122 VL - 305 SP - 1 EP - 18 PB - Elsevier Ltd. AN - OPUS4-62360 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -