عنوان
پدید آورنده
موضوع
رده
کتابخانه
محل استقرار
NATIONAL BIBLIOGRAPHY NUMBER
Number
TL50783
LANGUAGE OF THE ITEM
.Language of Text, Soundtrack etc
انگلیسی
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
Techno-Economic Optimization and Environmental Life Cycle Asssessment of Microgrids Using Genetic Algorithm and Artificial Neural Networks
General Material Designation
[Thesis]
First Statement of Responsibility
Nagapurkar, Prashant Suresh
Subsequent Statement of Responsibility
Smith, Joseph
.PUBLICATION, DISTRIBUTION, ETC
Name of Publisher, Distributor, etc.
Missouri University of Science and Technology
Date of Publication, Distribution, etc.
2019
GENERAL NOTES
Text of Note
239 p.
DISSERTATION (THESIS) NOTE
Dissertation or thesis details and type of degree
Ph.D.
Body granting the degree
Missouri University of Science and Technology
Text preceding or following the note
2019
SUMMARY OR ABSTRACT
Text of Note
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
UNCONTROLLED SUBJECT TERMS
Subject Term
Chemical engineering
PERSONAL NAME - PRIMARY RESPONSIBILITY
Nagapurkar, Prashant Suresh
PERSONAL NAME - SECONDARY RESPONSIBILITY
Smith, Joseph
CORPORATE BODY NAME - SECONDARY RESPONSIBILITY
Missouri University of Science and Technology
ELECTRONIC LOCATION AND ACCESS
Electronic name
مطالعه متن کتاب p
[Thesis]
276903
a
Y
