Co-Production of Olefins, Fuels, and Electricity from Conventional Pipeline Gas and Shale Gas with Near-Zero CO2 Emissions. Part II: Economic Performance

In this paper, techno-economic analyses of a polygeneration system for the production of olefins, transportation fuels and electricity are performed, considering various process options. Derivative-free optimization algorithms were coupled with Aspen Plus simulation models to determine the optimum product portfolio as a function of a wide variety of market prices. The optimization results show that the proposed plant is capable of producing olefins with the same production costs as traditional petrochemical routes while having effectively zero process CO2 emissions (including the utilities). This provides an economic and more sustainable alternative to traditional naphtha cracking.

[1]  Thomas A. Adams,et al.  Combining coal gasification and natural gas reforming for efficient polygeneration , 2011 .

[2]  Yu Qian,et al.  Conceptual design of coke-oven gas assisted coal to olefins process for high energy efficiency and low CO2 emission , 2014 .

[3]  Thomas A. Adams,et al.  Optimal Design and Operation of Flexible Energy Polygeneration Systems , 2011 .

[4]  Martin Kumar Patel,et al.  Steam cracking and methane to olefins: Energy use, CO2 emissions and production costs , 2008 .

[5]  Bin Chen,et al.  Proposal of a natural gas-based polygeneration system for power and methanol production , 2008 .

[6]  Thomas A. Adams,et al.  Combining coal gasification, natural gas reforming, and solid oxide fuel cells for efficient polygen , 2011 .

[7]  Thomas A. Adams,et al.  A multi-scale dynamic two-dimensional heterogeneous model for catalytic steam methane reforming reactors , 2013 .

[8]  Christodoulos A. Floudas,et al.  Hybrid and single feedstock energy processes for liquid transportation fuels: A critical review , 2012, Comput. Chem. Eng..

[9]  Thomas A. Adams,et al.  Fuel Composition Transients in Fuel Cell Turbine Hybrid for Polygeneration Applications , 2014 .

[10]  Thomas A. Adams,et al.  A dynamic two-dimensional heterogeneous model for water gas shift reactors , 2009 .

[11]  Michael N. Vrahatis,et al.  Particle Swarm Optimization and Intelligence: Advances and Applications , 2010 .

[12]  János D. Pintér,et al.  Introduction to Applied Optimization , 2007, Eur. J. Oper. Res..

[13]  Mitsuo Gen,et al.  Genetic algorithms and engineering optimization , 1999 .

[14]  Sunwon Park,et al.  Robust investment model for long-range capacity expansion of chemical processing networks under uncertain demand forecast scenarios , 1998 .

[15]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[16]  D. Xiang,et al.  Life cycle assessment of energy consumption and GHG emissions of olefins production from alternative resources in China , 2015 .

[17]  Juan Adánez,et al.  Progress in chemical-looping combustion and reforming technologies , 2012 .

[18]  Eric Croiset,et al.  Dynamic simulation of MEA absorption process for CO2 capture from power plants , 2012 .

[19]  Lora L Pinkerton,et al.  Cost and Performance Baseline for Fossil Energy Plants Volume 1a: Bituminous Coal (PC) and Natural Gas to Electricity Revision 3 , 2011 .

[20]  Peter Rossmanith,et al.  Simulated Annealing , 2008, Taschenbuch der Algorithmen.

[21]  Kathryn A. Dowsland,et al.  Simulated Annealing , 1989, Encyclopedia of GIS.

[22]  Liang-Shih Fan,et al.  Chemical Looping Systems for Fossil Energy Conversions , 2010 .

[23]  Debangsu Bhattacharyya,et al.  One-Dimensional Dynamic Modeling of a Single-Stage Downward-Firing Entrained-Flow Coal Gasifier , 2014 .

[24]  Xiangping Zhang,et al.  Carbon chain analysis on a coal IGCC — CCS system with flexible multi-products , 2013 .

[25]  Klaus D. Timmerhaus,et al.  Plant design and economics for chemical engineers , 1958 .

[26]  Calin-Cristian Cormos,et al.  Assessment of flexible energy vectors poly-generation based on coal and biomass/solid wastes co-gasification with carbon capture , 2013 .