Dortmund Data Bank
The Dortmund Data Bank is a factual data bank for thermodynamic and thermophysical data. Its main usage is the data supply for process simulation where experimental data are the basis for the design, analysis, synthesis, and optimization of chemical processes. The DDB is used for fitting parameters for thermodynamic models like NRTL or UNIQUAC and for many different equations describing pure component properties, e.g., the Antoine equation for vapor pressures. The DDB is also used for the development and revision of predictive methods like UNIFAC and PSRK.
Contents
Mixture properties
Image:Benzene+Hexafluorobenzene.png|250px|thumb|Double Azeotrope of Benzene and Hexafluorobenzene, taken from Dortmund Data Bank- Phase equilibria data, data on azeotropy and zeotropy
- Mixing enthalpies
- Gas solubilities
- Activity coefficients at infinite dilution
- Heat capacities and excess heat capacities
- Volumes, densities, and excess volumes
- Salt solubilities
- Octanol-water partition coefficients
- Critical data
Pure component properties
[Image:Vapor Pressure of Water.png|thumb|250px|Vapor pressure diagrams of Water]- Saturated vapor pressures
- Saturated densities
- Viscosities
- Thermal conductivities
- Critical data
- Triple points
- Melting points
- Heat capacities
- Heats of fusion, sublimation and vaporization
- Heats of formation and combustion
- Heats and temperatures of transitions for solids
- Speed of sound
- P-v-T data including virial coefficients
- Energy functions
- Enthalpies and entropies
- Surface tensions
Data sources
The DDB is a collection of experimental data published by the original authors. All data are referenced and a quite large literature data bank is part of the DDB, currently containing more than 92,000 articles, books, private communications, deposited documents from Russia, Ukraine and other former USSR states, company reports, theses, patents, and conference contributions.Secondary sources like data collections are normally neglected and only used as a literature source. Derived data are also not collected with the main exception of the azeotropic data bank which is built partly from evaluated vapor–liquid equilibrium data.
History
The Dortmund Data Bank was founded in the 1970s at the University of Dortmund in Germany. The original reason for starting a vapor–liquid phase equilibria data collection was the development of the group contribution method UNIFAC which allows to estimate vapor pressures of mixtures.The DDB has since been extended to many other properties and has increased dramatically in size also because of intensive government aid. The funding has ended and the further development and maintenance is performed by DDBST GmbH, a company founded by members of the industrial chemistry chair of the Carl von Ossietzky University of Oldenburg, Germany.
Additional contributors are the DECHEMA, the FIZ CHEMIE, the Technical University in Tallinn, and others.