Optimization of food-energy-water infrastructure in remote microgrids

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Abstract/Contents

Abstract
Over a billion people in the world lack access to clean, reliable, and affordable electricity. Microgrids with renewable energy, or renewable microgrids, can reduce operating costs by decreasing dependence on diesel fuel and its expensive supply lines, and by reducing air pollution health damage and its associated costs. However, high penetrations of renewable energy, if not integrated properly, can affect microgrid stability. The goal of this dissertation is to inform remote communities that are food-energy-water (FEW) insecure how to optimally integrate FEW infrastructures with renewable energy. A new modeling framework is developed to optimize energy supply and demand in three remote microgrids in the Arctic and sub-Artic. Findings demonstrate that demand-side management (DSM) of FEW infrastructures can decrease dependence on battery energy storage, improve utilization of intermittent renewables in remote microgrids, and reduce diesel fuel consumption. Modeling and site validation in the sub-Arctic have demonstrated potential diesel fuel savings of up to 55% while operating at 100% renewable energy for several days at a time.

Description

Type of resource text
Form electronic resource; remote; computer; online resource
Extent 1 online resource.
Place California
Place [Stanford, California]
Publisher [Stanford University]
Copyright date 2022; ©2022
Publication date 2022; 2022
Issuance monographic
Language English

Creators/Contributors

Author Sambor, Daniel Joseph
Degree supervisor Jacobson, Mark Z. (Mark Zachary)
Thesis advisor Jacobson, Mark Z. (Mark Zachary)
Thesis advisor Jain, Rishee
Thesis advisor Wies, Richard
Degree committee member Jain, Rishee
Degree committee member Wies, Richard
Associated with Stanford University, Civil & Environmental Engineering Department

Subjects

Genre Theses
Genre Text

Bibliographic information

Statement of responsibility Daniel Joseph Sambor.
Note Submitted to the Civil & Environmental Engineering Department.
Thesis Thesis Ph.D. Stanford University 2022.
Location https://purl.stanford.edu/wc969jr0091

Access conditions

Copyright
© 2022 by Daniel Joseph Sambor
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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