Modular Design of Carbon-Hydrogen-Oxygen Symbiosis Networks over a Time Horizon with Limited Natural Resources

ABSTRACT Industrial symbiosis through the synergistic integration of industrial facilities is an effective strategy for sustainable development. A particularly important class of industrial symbiosis deals with Carbon-Hydrogen-Oxygen SYmbiosis Networks (CHOSYNs) in which hydrocarbon streams from various plants are exchanged, chemically converted, separated, and allocated to enhance the overall productivity, profitability, and sustainability of the participating plants. Previous research contributions in the area of designing optimal CHOSYNs have addressed several important classes of the problem. These include the dismantling of chemical species and reassembling them in a stoichiometrically valid manner, the use of atomic information to identify multi-scale targets for mass utilization and intensification, the selection of anchors and tenants, and the design under uncertainty in stream characteristics. This paper addresses two novel categories of the CHOSYN design problem by addressing: modular design and implementation of CHOSYNs over a time horizon and incorporation of limitations on natural resources supplying the network. Decisions at critical points on the implementation timeline are made such that capital productivity is optimized and profitability is maximized. An optimization approach is introduced to provide the computing platform for implementing the conceptual framework.

[1]  Mahmoud M. El-Halwagi,et al.  Optimal design of inter-plant waste energy integration , 2014 .

[2]  Mahmoud M. El-Halwagi,et al.  Synthesis of Eco-Industrial Parks Interacting with a Surrounding Watershed , 2015 .

[3]  Mahmoud M. El-Halwagi,et al.  Water Integration of Eco-Industrial Parks Using a Global Optimization Approach , 2010 .

[4]  Mahmoud M. El-Halwagi,et al.  Reliability of C-H-O Symbiosis Networks under Source Streams Uncertainty , 2018 .

[5]  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.

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

[7]  Mahmoud M. El-Halwagi,et al.  Sustainable Design Through Process Integration: Fundamentals and Applications to Industrial Pollution Prevention, Resource Conservation, and Profitability Enhancement , 2011 .

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

[9]  Marian Chertow,et al.  INDUSTRIAL SYMBIOSIS: Literature and Taxonomy , 2000 .

[10]  Mahmoud M. El-Halwagi,et al.  Optimal reconfiguration of multi-plant water networks into an eco-industrial park , 2012, Comput. Chem. Eng..

[11]  Dominic C.Y. Foo,et al.  Fuzzy optimization of topologically constrained eco-industrial resource conservation networks with incomplete information , 2011 .

[12]  Denny K. S. Ng,et al.  Synthesis of Direct and Indirect Interplant Water Network , 2008 .

[13]  D. Ng,et al.  Systematic Approach for Synthesis of Integrated Palm Oil Processing Complex. Part 1: Single Owner , 2013 .

[14]  Dominic C.Y. Foo,et al.  Segregated targeting for multiple resource networks using decomposition algorithm , 2009 .

[15]  Mahmoud M. El-Halwagi,et al.  Synthesis of combined heat and reactive mass-exchange networks , 1994 .

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

[17]  Dermot J. Roddy,et al.  A syngas network for reducing industrial carbon footprint and energy use , 2013 .

[18]  Mahmoud M. El-Halwagi,et al.  Shale gas monetization – A review of downstream processing to chemicals and fuels , 2017 .

[19]  Jiří Jaromír Klemeš,et al.  Industrial water recycle/reuse , 2012 .

[20]  Dominic C.Y. Foo,et al.  Automated targeting for inter-plant water integration , 2009 .

[21]  Mahmoud M. El-Halwagi,et al.  An algebraic targeting approach for effective utilization of biomass in combined heat and power systems through process integration , 2006 .

[22]  Jose B. Cruz,et al.  Bi-level fuzzy optimization approach for water exchange in eco-industrial parks , 2010 .

[23]  Cheng-Liang Chen,et al.  A two-stage approach for the synthesis of inter-plant water networks involving continuous and batch units , 2014 .

[24]  Mahmoud M. El-Halwagi,et al.  Fuzzy mixed integer non-linear programming model for the design of an algae-based eco-industrial park with prospective selection of support tenants under product price variability , 2016 .

[25]  Seong-Rin Lim,et al.  Interfactory and Intrafactory Water Network System To Remodel a Conventional Industrial Park to a Green Eco-industrial Park , 2010 .

[26]  Mahmoud M. El-Halwagi,et al.  Targeting cogeneration and waste utilization through process integration , 2009 .

[27]  Mahmoud M. El-Halwagi,et al.  A Disjunctive Programming Approach for Optimizing Carbon, Hydrogen, and Oxygen Symbiosis Networks , 2019 .

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

[29]  Mahmoud M. El-Halwagi,et al.  Optimal interplant water networks for industrial zones: Addressing interconnectivity options through pipeline merging , 2014 .

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

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

[32]  A. Jiménez-Gutiérrez,et al.  Water and energy issues in gas-to-liquid processes: Assessment and integration of different gas-reforming alternatives , 2014 .

[33]  Mahmoud M. El-Halwagi,et al.  The impact of the development of catalyst and reaction system of the methanol synthesis stage on the overall profitability of the entire plant: A techno-economic study , 2020 .

[34]  Mahmoud M. El-Halwagi,et al.  An anchor-tenant approach to the synthesis of carbon-hydrogen-oxygen symbiosis networks , 2018, Comput. Chem. Eng..

[35]  Mahmoud M. El-Halwagi,et al.  Incorporation of Safety and Sustainability in Conceptual Design via a Return on Investment Metric , 2018 .

[36]  Yufei Wang,et al.  Improved Targeting Procedure To Determine the Indirect Interplant Heat Integration with Parallel Connection Pattern among Three Plants , 2018 .

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

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

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

[40]  Mahmoud M. El-Halwagi,et al.  Heat integrated resource conservation networks without mixing prior to heat exchanger networks , 2014 .

[41]  Mahmoud M. El-Halwagi,et al.  Integration of Thermal Membrane Distillation Networks with Processing Facilities , 2014 .

[42]  Mahmoud M. El-Halwagi,et al.  Design, simulation and techno-economic analysis of two processes for the conversion of shale gas to ethylene , 2017, Comput. Chem. Eng..

[43]  Mahmoud M. El-Halwagi,et al.  RIGOROUS GRAPHICAL TARGETING FOR RESOURCE CONSERVATION VIA MATERIAL RECYCLE/REUSE NETWORKS , 2003 .

[44]  Mahmoud M. El-Halwagi,et al.  Synthesis of industrial park water reuse networks considering treatment systems and merged connectivity options , 2016, Comput. Chem. Eng..

[45]  Mahmoud M. El-Halwagi,et al.  CO2 footprint reduction via the optimal design of Carbon-Hydrogen-Oxygen SYmbiosis Networks (CHOSYNs) , 2019, Chemical Engineering Science.