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DC Microgrid and Renewable Energy Model Development for Improving Sustainability of Electric Power Systems

Bulman, Andrew (2017) DC Microgrid and Renewable Energy Model Development for Improving Sustainability of Electric Power Systems. Master's Thesis, University of Pittsburgh. (Unpublished)

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As renewable energy becomes more prevalent throughout the electric utility industry there is an increasing interest in recreating the industry with sustainability goals in mind. One goal is to have 100% of power generated from renewable sources, such as wind and solar energy. However, targeting 100% generation creates technical and economic obstacles for the industry. Microgrids may provide solutions to the some of the challenges, but their applications have been limited thus far due to case availability and modeling difficulties in regards to optimizing the systems economically, environmentally, and technically.
This thesis examines a DC-based microgrid located at a trucking facility in Pittsburgh, PA by creating the system in a microgrid modeling software called HOMER. The simulations were completed to better understand the effect microgrids have on resiliency and sustainability by analyzing the economic, environmental, and technical impacts of the system. This paper also shows how microgrids are currently being investigated by communities and the social benefits that microgrids can provide if deployed optimally.


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Item Type: University of Pittsburgh ETD
Status: Unpublished
CreatorsEmailPitt UsernameORCID
Bulman, Andrewarb112@pitt.eduarb112
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairReed,
Committee MemberMao,
Committee MemberGrainger,
Date: 13 June 2017
Date Type: Publication
Defense Date: 23 March 2017
Approval Date: 13 June 2017
Submission Date: 17 March 2017
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Number of Pages: 76
Institution: University of Pittsburgh
Schools and Programs: Swanson School of Engineering > Electrical and Computer Engineering
Degree: MS - Master of Science
Thesis Type: Master's Thesis
Refereed: Yes
Uncontrolled Keywords: Renewable Energy, Microgrid, DC, Sustainability
Date Deposited: 13 Jun 2017 15:14
Last Modified: 13 Jun 2017 15:14


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