Process design, dynamics, and techno-economic analysis of a sustainable coal, wind, and small modular nuclear reactor hybrid energy system

<p>"The availability of cheap electricity is one of the biggest factors for improving quality of life. With the debate on the effects of carbon dioxide emissions continuing, several countries have either implemented or are considering the reduction of emissions through various economic means. The inclusion of a monetary penalty on carbon emissions would increase the prices of electricity produced by carbon-based sources. The push for large-scale renewable sources of energy has met problems with regards to energy storage and availability. The proposed coal, wind, and nuclear hybrid energy system would combine a renewable energy source, wind, with traditional and stable energy sources, coal and nuclear, to create an integrated and sustainable system. A next generation small modular nuclear reactor will be evaluated. The coal system will use a pressurized circulating fluidized bed system, which can utilize both coal and biomass as a carbon feedstock. This system also employs a high temperature steam co-electrolysis unit for the utilization of carbon dioxide emissions for the production of synthetic gas which can be used in the production of transportation fuels or chemicals.</p> <p>The coal and nuclear systems were first analyzed at steady state by utilizing the Aspen Plus simulation software. The two systems were integrated with an existing high temperature steam electrolysis model. This system was reconciled and simplified. The simplifications to the model allowed for export from Aspen Plus into Aspen Dynamics. Once in the Dynamics simulation software, wind and grid demand models were developed to simulate a full year of power generation, power consumption, and chemical production. The simulation results were used to generate production possibilities and to compare the hybrid system to conventional coal technologies by levelized costs"--Abstract, page iv.</p>

Name thesis:degree_name

Ph. D. in Chemical Engineering

Grantor

Missouri University of Science and Technology

Year dc:date.available

2016

Author dc:creator

• Buchheit, Kyle Lee

• Carbon dioxide
• Dynamics
• Nuclear
• Process modeling
• Renewable energy
• Techno-wconomic analysis
• Applied Mathematics
• Chemical Engineering
• Natural Resource Economics

Repository record dc:identifier

https://scholarsmine.mst.edu/doctoral_dissertations/2439

OAI identifier oai:identifier

oai:scholarsmine.mst.edu:doctoral_dissertations-3441