Document Type

Closed Project

Publication Date

Winter 2018


Ramin Neshati

Course Title

Decision Making in Engineering and Technology Management

Course Number

EMGT 530/630


Distributed resources (Electric utilities) -- Management, Hierarchical Decision Model, Decision making, Electric power distribution -- Technological innovations, Renewable energy sources


As distributed energy resources continue to be a growing part of the power industry, more and more homeowners are integrating them into their homes for a wide variety of reasons. The type of distributed energy resource a homeowner chooses to implement involves many criteria, three of which will be further researched in this study. Social, technical, and economic factors are each further divided into three sub-criteria and weighted in an HDM model by a panel of six experts. The ultimate question the data from the experts would answer is which type of distributed energy resource is best for a homeowner to implement from their perspective.

Based on a literature review that analyzes each of the four possible alternatives with respect to the criteria and sub-criteria, the expectation was that solar would be the highest-ranking form of DER, followed by electric vehicles, wind, and home batteries, respectively. The outcome of the model was very similar to the prediction, with the results describing solar as the best alternative, followed by electric vehicles, home batteries, and then wind. Five out of the six experts came to the conclusion that solar was the best form of distributed energy resource for a home, and the disagreement and inconsistency were both very low (below 0.1).

Future research would include adding a wider variety of experts and going through further rounds of validation. Experts with backgrounds outside of engineering could be included as well, assuming they have a basic understanding of distributed energy resources. Additionally, a more in-depth model could include the possibility of implementing a variety of distributed energy resources and considering information such as region and season.


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