Document Type

Closed Project

Publication Date

Winter 2014


Dundar Kocaoglu

Course Title

Decision Making in Engineering & Technology Management

Course Number

ETM 530/630


Renewable energy sources -- Oregon, Energy storage -- Technological innovations -- Evaluation, Electric power production -- Oregon -- Decision making


Oregon is one of the leading states in utilizing renewable energy for electricity generation. Almost 76% of the electricity generated in Oregon State comes from renewable energy. However, Renewable Portfolio Standard (RPS) that requires state’s utilities to purchase or produce 25% of their electricity from renewable energy resources and closing of coal plants in Oregon and Washington by has paved the way to rethink about probable renewable energy options to compensate the energy need and complying with regulatory demands. The research project uses Hierarchical Decision Modeling (HDM) to find out the most suitable renewable energy for Oregon State.

Three probable renewable energy sources are selected and criteria and sub-criteria are determined from extensive literature review to develop the Hierarchical Decision Model using software. Five experts with different technical backgrounds from utility companies are selected for judgment by pair-wise comparison. Criteria average weight, sub-criteria weights, sub-criteria weights by energy source and finally average weights of the renewable energy options are calculated by HDM software.

Wind energy is found to be the most suitable renewable energy option considering the four criteria (Technical, economical, environmental and social) and ten sub-criteria.

The research project unveils the comparative advantages and disadvantages of different energy sources that are new, renewable, reliable and predictable and finds the most appropriate energy option for Oregon State.


This project is only available to students, staff, and faculty of Portland State University

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