Molecules Matter: The Expanding Envelope of Process Design

Abstract The choice of processing materials, e.g., solvents or catalysts, is best considered as part of an integrated molecular and process design problem. The range of applications that can be addressed with an integrated approach of this type can be extended by building on progress in property prediction techniques, such as molecular equations of state or computational chemistry. The use of these techniques, however, increases the complexity of the design problem. Possible approaches to overcome the challenges of adopting advanced property prediction techniques are discussed in the context of two case studies: the high-pressure removal of carbon dioxide from methane, in which the statistical associating fluid theory (SAFT) is used for design; the acceleration of a chemical reaction, in which quantum mechanical calculations are used.

[1]  Rafiqul Gani,et al.  A multi-step and multi-level approach for computer aided molecular design , 2000 .

[2]  Sten Bay Jørgensen,et al.  A novel framework for simultaneous separation process and product design , 2004 .

[3]  Sandro Macchietto,et al.  Computer aided molecular design: a novel method for optimal solvent selection , 1993 .

[4]  Rafiqul Gani,et al.  A Modern Approach to Solvent Selection , 2006 .

[5]  Erich A. Müller,et al.  Molecular-Based Equations of State for Associating Fluids: A Review of SAFT and Related Approaches , 2001 .

[6]  Antonis C. Kokossis,et al.  On the development of novel chemicals using a systematic optimisation approach. Part II. Solvent design , 2000 .

[7]  William Johns,et al.  Computer‐Aided Chemical Engineering , 2011 .

[8]  C. Adjiman,et al.  Computer-aided molecular design of solvents for accelerated reaction kinetics. , 2013, Nature chemistry.

[9]  Claire S. Adjiman,et al.  Integrated solvent and process design using a SAFT-VR thermodynamic description: High-pressure separation of carbon dioxide and methane , 2011, Comput. Chem. Eng..

[10]  S. Macchietto,et al.  Design on optimal solvents for liquid-liquid extraction and gas absorption processes , 1990 .

[11]  Doros N. Theodorou,et al.  Progress and Outlook in Monte Carlo Simulations , 2010 .

[12]  Claire S. Adjiman,et al.  Optimal Solvent Design for Batch Separation Based on Economic Performance , 2003 .

[13]  Joachim Gross,et al.  An equation-of-state contribution for polar components : Quadrupolar molecules , 2005 .

[14]  André Bardow,et al.  Simultaneous process and working fluid optimisation for Organic Rankine Cycles (ORC) using PC-SAFT , 2012 .

[15]  L. Achenie,et al.  A theoretical study of solvent effects on Kolbe–Schmitt reaction kinetics , 2006 .

[16]  E. Maginn From discovery to data: What must happen for molecular simulation to become a mainstream chemical engineering tool , 2009 .

[17]  George Jackson,et al.  SAFT: Equation-of-state solution model for associating fluids , 1989 .

[18]  George Jackson,et al.  Accurate statistical associating fluid theory for chain molecules formed from Mie segments. , 2013, The Journal of chemical physics.

[19]  Efstratios N. Pistikopoulos,et al.  Optimal design of solvent blends for environmental impact minimization , 1999 .

[20]  C. Boddy,et al.  Rapid, mild method for phosphonate diester hydrolysis: development of a one-pot synthesis of tenofovir disoproxil fumarate from tenofovir diethyl ester , 2010 .

[21]  Christodoulos A. Floudas,et al.  Discovery of novel zeolites for natural gas purification through combined material screening and process optimization , 2014 .

[22]  Aage Fredenslund,et al.  Group‐contribution estimation of activity coefficients in nonideal liquid mixtures , 1975 .

[23]  Mahmoud M. El-Halwagi,et al.  Simultaneous process and molecular design—A property based approach , 2007 .

[24]  Rafiqul Gani,et al.  Design of environmentally benign processes: integration of solvent design and separation process synthesis , 1999 .

[25]  Gonzalo Guillén-Gosálbez,et al.  Scope for the application of mathematical programming techniques in the synthesis and planning of sustainable processes , 2010, Comput. Chem. Eng..

[26]  Jorge A. Marrero,et al.  Group-contribution based estimation of pure component properties , 2001 .

[27]  Costas D. Maranas,et al.  Molecular Design Using Quantum Chemical Calculations for Property Estimation , 2004 .

[28]  C. Maranas Optimal Computer-Aided Molecular Design: A Polymer Design Case Study , 1996 .

[29]  Michael H. Abraham,et al.  Linear solvation energy relationships. 23. A comprehensive collection of the solvatochromic parameters, .pi.*, .alpha., and .beta., and some methods for simplifying the generalized solvatochromic equation , 1983 .

[30]  Donald R. Jones,et al.  A Taxonomy of Global Optimization Methods Based on Response Surfaces , 2001, J. Glob. Optim..

[31]  Michael H. Abraham,et al.  LINEAR SOLVATION ENERGY RELATIONSHIPS. 23. A COMPREHENSIVE COLLECTION OF THE SOLVATOCHROMIC PARAMETERS, Π*, α, AND β, AND SOME METHODS FOR SIMPLIFYING THE GENERALIZED SOLVATOCHROMIC EQUATION , 1984 .

[32]  Gabriele Sadowski,et al.  Modeling the solubility of pharmaceuticals in pure solvents and solvent mixtures for drug process design. , 2009, Journal of pharmaceutical sciences.

[33]  Patrick Linke,et al.  A Unified Framework for Integrated Process and Molecular Design , 2005 .

[34]  André Bardow,et al.  Continuous-Molecular Targeting for Integrated Solvent and Process Design , 2010 .

[36]  Clare McCabe,et al.  SAFT-VR modelling of the phase equilibrium of long-chain n-alkanes , 1999 .

[37]  Claire S. Adjiman,et al.  Solvent Design Using a Quantum Mechanical Continuum Solvation Model , 2006 .

[38]  Clare McCabe,et al.  Chapter 8:SAFT Associating Fluids and Fluid Mixtures , 2010 .

[39]  George Jackson,et al.  SAFT-γ force field for the simulation of molecular fluids. 1. A single-site coarse grained model of carbon dioxide. , 2011, The journal of physical chemistry. B.

[40]  Joshua D. Moore,et al.  Molecular Modeling of Matter: Impact and Prospects in Engineering , 2010 .

[41]  Claire S. Adjiman,et al.  Integrated Design of CO2 Capture Processes from Natural Gas , 2011 .

[42]  George Jackson,et al.  Group contribution methodology based on the statistical associating fluid theory for heteronuclear molecules formed from Mie segments. , 2014, The Journal of chemical physics.

[43]  E. Maginn,et al.  Historical Perspective and Current Outlook for Molecular Dynamics As a Chemical Engineering Tool , 2010 .

[44]  Rafiqul Gani,et al.  MOLECULAR DESIGN OF SOLVENTS FOR LIQUID EXTRACTION BASED ON UNIFAC , 1983 .

[45]  David J. C. Constable,et al.  Perspective on Solvent Use in the Pharmaceutical Industry , 2007 .

[46]  Ioannis G. Economou,et al.  Statistical Associating Fluid Theory: A Successful Model for the Calculation of Thermodynamic and Phase Equilibrium Properties of Complex Fluid Mixtures , 2002 .

[47]  George Jackson,et al.  Statistical associating fluid theory for chain molecules with attractive potentials of variable range , 1997 .

[48]  Alison J. Burnham,et al.  LATENT VARIABLE MULTIVARIATE REGRESSION MODELING , 1999 .

[49]  David J. C. Constable,et al.  Cradle-to-gate life cycle inventory and assessment of pharmaceutical compounds , 2004 .