Advancing Efficient Fossil Energy Based Power Generation I

Chair(s):
Miller, D. C., U.S. Department Of Energy, National Energy Technology Laboratory
Co-chair(s):
Matuszewski, M., University of Pittsburgh

The objective of this session is to present new computational approaches and results to more effectively evaluate the cost and performance of innovative new ideas for fossil-based power generation in the context of reducing CO2 emissions and water consumption. Major topics include: optimization and comparison of low-carbon, low-water, fossil-based power generation; power systems optimization under uncertainty; reduction of CO2 emissions and water use from fossil energy power plants; promising process and technology development pathways; process intensification as a means to increase efficiency and drive down costs. Questions to be addressed may include: o How can new or existing fossil based power be generated more cost effectively? How can equipment improvements drive down installed cost? How can systematic process intensification improve cost and/or performance? o How does a focus on reducing water consumption change the design paradigm? o Accounting for market and/or regulatory uncertainty, is EOR or CO2 sale likely to succeed? If not, what carbon tax level would incentivize significant CO2 reduction? o What are the major cost and performance bottlenecks of low carbon power technologies? How is the cost of electricity impacted after implementing carbon capture and other process enhancements? o What promising developmental pathways have been identified? What is the relative potential of these technologies? Are these developmental pathways cost- or performance-limited? How do key uncertainties affect development choices? Which optimization frameworks for power systems modeling under uncertainty have proven most effective? Stochastic optimization approaches? Robust optimization approaches?

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Individuals

AIChE Members $150.00
AIChE Graduate Student Members Free
AIChE Undergraduate Student Members Free
Non-Members $225.00