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" Techno-Economic Optimization and Environmental Life Cycle Asssessment of Microgrids Using Genetic Algorithm and Artificial Neural Networks "
Nagapurkar, Prashant Suresh
Smith, Joseph
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Latin Dissertation
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| Language of Document
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English
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| Record Number
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1051666
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TL50783
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| Main Entry
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Nagapurkar, Prashant Suresh
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| Title & Author
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Techno-Economic Optimization and Environmental Life Cycle Asssessment of Microgrids Using Genetic Algorithm and Artificial Neural Networks\ Nagapurkar, Prashant SureshSmith, Joseph
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| College
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Missouri University of Science and Technology
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| Date
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2019
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| Degree
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Ph.D.
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2019
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| Note
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239 p.
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| Abstract
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This dissertation focuses primarily on techno-economic optimization and environmental life cycle assessment (LCA) of sustainable energy generation technologies. This work is divided into five papers. The first paper discusses the techno-economic optimization and environmental life cycle assessment of microgrids located in the USA using genetic algorithm. In this paper, a methodology was developed that assessed the techno-economic and environmental performance of a small scale microgrid located in US cities of Tucson, Lubbock and Dickinson. Providing uninterrupted power the microgrid was composed of seven components - solar photovoltaics, wind-turbines, lead acid batteries, biodiesel generators, fuel cells, electrolyzers and H2 tanks. The second paper is an extension of first paper and utilizes Artificial Neural Networks to predict energy demand while also incorporating social costs. With an aim to incorporate LCA methodology, the third paper discusses the upstream biodiesel production process which is a vital fuel source for the microgrid. In this paper, a supercritical biodiesel production process from waste cooking oil (WCO) using methanol in the presence of propane as a co-solvent was technically analyzed using Aspen Plus software. In the fourth paper, a system dynamics model of the cast iron foundry process was developed and validated with the actual energy consumption data based on which recommendations were made to reduce energy consumption by 26% or
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| Descriptor
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Chemical engineering
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Smith, Joseph
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Missouri University of Science and Technology
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