Benchmarking Process Performance Through Overall Mass Targeting

This chapter presents systematic tools for determining overall mass targets. The focus is on a “big-picture” approach for evaluating these targets without committing to specific technologies or designs, collecting or generating extensive data, detailing the design changes that must be made, or carrying out in-depth economic analysis. In other words, targeting guides the designer in determining the best possible performance of the process irrespective of the type of available technologies or the cost involved in undertaking process changes. Subsequent chapters will provide the details on how these targets can be attained, how to synthesize and screen design alternatives, and how the cost–benefit analysis is used to generate cost-effective designs.

[1]  Mahmoud M. El-Halwagi,et al.  Pollution prevention targets through integrated design and operation , 2000 .

[2]  Mahmoud M. El-Halwagi,et al.  A Techno-Economic Comparison between Two Methanol-to-Propylene Processes , 2015 .

[3]  Mahmoud M. El-Halwagi,et al.  Targeting Techniques for Enhancing Process Yield , 2006 .

[4]  M. El‐Halwagi,et al.  On the Viscosity of Natural Gases from Qatari North Field Reservoir , 2010 .

[5]  Mahmoud M. El-Halwagi,et al.  Safety and Techno-Economic Analysis of Ethylene Technologies , 2016 .

[6]  Mahmoud M. El-Halwagi,et al.  Interval-based targeting for pollution prevention via mass integration , 1999 .

[7]  M. El‐Halwagi,et al.  Process Design and Integration of Shale Gas to Methanol , 2014 .

[8]  Mahmoud M. El-Halwagi,et al.  Modeling and optimization of a bioethanol production facility , 2013, Clean Technologies and Environmental Policy.

[9]  Mahmoud M. El-Halwagi,et al.  A shortcut method for the preliminary synthesis of process-technology pathways: An optimization approach and application for the conceptual design of integrated biorefineries , 2011, Comput. Chem. Eng..

[10]  R. L. Bain.  Material and Energy Balances for Methanol from Biomass Using Biomass Gasifiers , 1992 .

[11]  Mahmoud M. El-Halwagi,et al.  Synthesis of C‐H‐O Symbiosis Networks , 2015 .

[12]  G. Stephanopoulos,et al.  Studies on the synthesis of chemical reaction paths—I: Reaction characteristics in the (ΔG, T) space and a primitive synthesis procedure , 1982 .

[13]  M. El‐Halwagi,et al.  A Process Integration Approach to the Assessment of CO2 Fixation through Dry Reforming , 2015 .

[14]  Andrew G. Livingston,et al.  Reaction path synthesis for environmental impact minimization , 1997 .

[15]  M. El‐Halwagi.  Sustainable Pollution Prevention Through Mass Integration , 1999 .

[16]  M. El‐Halwagi,et al.  A combined thermo-kinetic analysis of various methane reforming technologies: Comparison with dry reforming , 2017 .

[17]  W. Prins,et al.  Fast Pyrolysis of Biomass for Energy and Chemicals: Technologies at Various Scales , 2010 .

[18]  M. El‐Halwagi,et al.  Simulation, integration, and economic analysis of gas-to-liquid processes , 2010 .

[19]  Mahmoud M. El-Halwagi,et al.  Design and integration of eco‐industrial parks for managing water resources , 2009 .

[20]  Eva M. Lovelady,et al.  An integrated approach to the optimisation of water usage and discharge in pulp and paper plants , 2007 .

[21]  Mahmoud M. El-Halwagi,et al.  Process synthesis and optimization of biorefinery configurations , 2012 .

[22]  Mahmoud M. El-Halwagi,et al.  A return on investment metric for incorporating sustainability in process integration and improvement projects , 2017, Clean Technologies and Environmental Policy.

[23]  Patrick Linke,et al.  Gas-to-liquid (GTL) technology: Targets for process design and water-energy nexus , 2014 .

[24]  Andrea P. Ortiz-Espinoza,et al.  Techno-Economic Assessment and Environmental Impact of Shale Gas Alternatives to Methanol , 2014 .

[25]  Mahmoud M. El-Halwagi,et al.  Managing abnormal operation through process integration and cogeneration systems , 2014, Clean Technologies and Environmental Policy.

[26]  George T. Tsao,et al.  Fermentation kinetics of ethanol production from glucose and xylose by recombinant Saccharomyces 1400(pLNH33) , 1999 .

[27]  Mahmoud M. El-Halwagi.  A Shortcut Approach to the Multi-scale Atomic Targeting and Design of C–H–O Symbiosis Networks , 2017 .