On Quality of Adopted Values in Thermodynamic Databases

Abstract

Quality of numerical data in thermodynamic databases is known critically influence upon the results of modeling of various processes. That is why the analysis of data quality and searching for erroneous values are very actual.
This paper outlines automated procedure which allows to find the most considerable mistakes in thermodynamic properties of individual substances adopted in a database. HSC-database is analyzed as an example. Comparison procedure of this database and IVTANTHERMO database is supposed to reveal large discrepancies as a sign of erroneous values in one of two databases. Detail examination of the case allows to find the errors.
The most remarkable discrepancies are analyzed to show their influences upon the result of thermodynamic modeling.
General approach to prevent erroneous values usage is discussed. The data quality in databases could be improved by automated control of input values using a set of conditions. These conditions may be added and corrected taking into account theoretical and experimental data.
The importance of international cooperation in improvement of thermodynamic databases quality is emphasized. The time has come for special program development to agree and combine all databases on thermodynamic properties of individual substances. The ultimate goal of the program may be a joint international database, which could be maintained and developed on “real time” regime.