Assessment of property estimation methods for the thermodynamics of carbon dioxide-based products

Abstract Carbon dioxide can be used as feedstock to produce chemicals. It represents a stimulating defiance to manufacture novel cost competitive materials with less environmental impact, besides to investigate new opportunities for catalysts and industrial chemistry. The contribution of carbon dioxide conversion goes beyond lowering global warming, by reducing fossil resource depletion or even yielding more benign production pathways. Albeit promising, the literature data regarding the quantity of energy needed to convert carbon dioxide into chemicals is limited and narrowed to the most studied processes and products. In order to understand and model the formation of species using carbon dioxide as raw material, some basic thermodynamic data are needed. The development of detailed reaction schemes in the field is also scarce. To enhance and further complete the database of the products obtained from carbon dioxide, this study investigates different procedures to estimate the basic thermodynamic properties of the reactants and products of these reactions. To date various methods have been developed and introduced to determine the gas-phase standard enthalpies of formation and Gibbs energy. Among them, group additivity and semi-empirical methods are widely employed due to their accuracy and effort time for implementation compared to more rigorous methods. Semi empirical quantum-chemistry methods were compared with group additivity methods. Available literature data were used to select the best method for property estimation of the whole set of species, whereby produced from carbon dioxide. The products from carbon dioxide were categorized in sixteen chemical classes, the reaction enthalpy for the direct route to manufacture the products were assessed and indicate a large difference among the classes. The results of this investigation show that semi empirical quantum-chemistry methods revealed to be more accurate for the studied species; additionally, the method demonstrates robustness in estimating the properties. Together, these results provide important insights into the thermodynamics of carbon dioxide related products.

[1]  K. Kobe The properties of gases and liquids , 1959 .

[2]  Edward L Cussler,et al.  Chemical product design , 2001 .

[3]  Walter Thiel,et al.  Semiempirical quantum–chemical methods , 2014 .

[4]  Detlef Stolten,et al.  Closing the loop: Captured CO2 as a feedstock in the chemical industry , 2015 .

[5]  Thomas A. Halgren,et al.  Merck molecular force field. III. Molecular geometries and vibrational frequencies for MMFF94 , 1996, J. Comput. Chem..

[6]  James J. P. Stewart,et al.  Optimization of parameters for semiempirical methods VI: more modifications to the NDDO approximations and re-optimization of parameters , 2012, Journal of Molecular Modeling.

[7]  Y. B. Wah,et al.  Power comparisons of Shapiro-Wilk , Kolmogorov-Smirnov , Lilliefors and Anderson-Darling tests , 2011 .

[8]  Nikolaos V. Sahinidis,et al.  Computer-aided molecular design: An introduction and review of tools, applications, and solution techniques , 2016, ArXiv.

[9]  M. Aresta,et al.  Utilisation of CO2 as a chemical feedstock: opportunities and challenges. , 2007, Dalton transactions.

[10]  L. Curtiss,et al.  Gaussian-4 theory. , 2007, The Journal of chemical physics.

[11]  T. Halgren Merck molecular force field. II. MMFF94 van der Waals and electrostatic parameters for intermolecular interactions , 1996 .

[12]  K. Joback,et al.  ESTIMATION OF PURE-COMPONENT PROPERTIES FROM GROUP-CONTRIBUTIONS , 1987 .

[13]  Michael S. Elioff,et al.  Calculating Heat of Formation Values of Energetic Compounds: A Comparative Study , 2016 .

[14]  A. Villa,et al.  Modeling of Chemical Equilibrium and Gas Phase Behavior for the Direct Synthesis of Dimethyl Carbonate from CO2 and Methanol , 2012 .

[15]  D. Golden,et al.  Additivity rules for the estimation of thermochemical properties , 1969 .

[16]  J. Elguero,et al.  Structural studies of cyclic ureas: 1. Enthalpies of formation of imidazolidin-2-one and N,N′-trimethyleneurea , 2008 .

[17]  P.-E. Verkade L'acide salicylique comme substance étalon secondaire de calorimétrie: Réponse à M. L.-J.-P. Keffler , 1932 .

[18]  Jing-Li Fan,et al.  Efficiency evaluation of CO2 utilization technologies in China: A super-efficiency DEA analysis based on expert survey , 2015 .

[19]  E. A. Miroshnichenko,et al.  Thermochemistry of alkyl derivatives of urea , 1990 .

[20]  J. Stewart Optimization of parameters for semiempirical methods V: Modification of NDDO approximations and application to 70 elements , 2007, Journal of molecular modeling.

[21]  Jin Li,et al.  Assessing the accuracy of predictive models for numerical data: Not r nor r2, why not? Then what? , 2017, PloS one.

[22]  G. Tsatsaronis,et al.  CO2-utilization in the synthesis of methanol: Potential analysis and exergetic assessment , 2019, Energy.

[23]  D. Legates,et al.  Evaluating the use of “goodness‐of‐fit” Measures in hydrologic and hydroclimatic model validation , 1999 .

[24]  J. Guthrie Hydration of carboxamides. Evaluation of the free energy change for addition of water to acetamide and formamide derivatives , 1974 .

[25]  W. M. Haynes CRC Handbook of Chemistry and Physics , 1990 .

[26]  L. Curtiss,et al.  Gaussian-3 (G3) theory for molecules containing first and second-row atoms , 1998 .

[27]  Eamonn F. Healy,et al.  Development and use of quantum mechanical molecular models. 76. AM1: a new general purpose quantum mechanical molecular model , 1985 .

[28]  Michael J Frisch,et al.  Unrestricted Coupled Cluster and Brueckner Doubles Variations of W1 Theory. , 2009, Journal of chemical theory and computation.

[29]  E. Kakaras,et al.  The CO2 economy: Review of CO2 capture and reuse technologies , 2018 .

[30]  Krishnan Raghavachari,et al.  Gaussian-2 theory for molecular energies of first- and second-row compounds , 1991 .

[31]  Jonas C. Ditz,et al.  Large-scale calculations of gas phase thermochemistry: Enthalpy of formation, standard entropy, and heat capacity , 2016 .

[32]  Chris Morley,et al.  Pybel: a Python wrapper for the OpenBabel cheminformatics toolkit , 2008, Chemistry Central journal.

[33]  Marcus D. Hanwell,et al.  Avogadro: an advanced semantic chemical editor, visualization, and analysis platform , 2012, Journal of Cheminformatics.

[34]  M. Bernard,et al.  tude thermodynamique des carbamates de mthyle, d'thyle et de leur eutectique , 1976 .

[35]  Duncan Cramer,et al.  Fundamental Statistics for Social Research: Step-by-Step Calculations and Computer Techniques Using SPSS for Windows , 1998 .

[36]  Nicolas Meunier,et al.  Selecting emerging CO2 utilization products for short- to mid-term deployment , 2019, Applied Energy.

[37]  J. Nash,et al.  River flow forecasting through conceptual models part I — A discussion of principles☆ , 1970 .

[38]  R. C. Weast CRC Handbook of Chemistry and Physics , 1973 .

[39]  R. Selin The Outlook for Energy: A View to 2040 , 2013 .

[40]  C. Willmott Some Comments on the Evaluation of Model Performance , 1982 .

[41]  O. Araújo,et al.  Carbon dioxide management by chemical conversion to methanol: HYDROGENATION and BI-REFORMING , 2016 .

[42]  T. Chai,et al.  Root mean square error (RMSE) or mean absolute error (MAE)? – Arguments against avoiding RMSE in the literature , 2014 .

[43]  Pedro J. Mago,et al.  Potential reduction of carbon dioxide emissions from the use of electric energy storage on a power generation unit/organic Rankine system , 2017 .

[44]  T. Schaub,et al.  The Use of Carbon Dioxide (CO2) as a Building Block in Organic Synthesis from an Industrial Perspective , 2018, Advanced Synthesis & Catalysis.

[45]  B. J. Neely,et al.  Molecular modeling of the standard state heat of formation , 2013 .

[46]  Milo Koretsky,et al.  Engineering and Chemical Thermodynamics , 2003 .

[47]  G. A. Petersson,et al.  A complete basis set model chemistry. VI. Use of density functional geometries and frequencies , 1999 .