This paper proposes a best-fit green energy generation technology for an Oregon-based company using Hierarchical Decision Modeling (HDM). The paper begins with a definition of HDM and then discusses the intricacies of the chosen criteria and technologies at-length. The various criteria were selected through group consensus following individual research and collaboration. Next, the paper provides a brief snapshot of each alternative technology and assumes that the reader has an underlying understanding of basic energy generation, and at least a cursory understanding of more unique green energy technologies such as stationary fuel cells and biomass. The team narrowed down acceptable green energy technologies to five core choices and assigned one technology to each team member for detailed research. These research efforts were focused on each of the five pre-selected criteria. Next, the team detailed assumptions that assisted in refining decisions. Through the use of Pair Wise comparisons, the team provides step-by-step analysis for both quantitative and qualitative measures. By using local surveys, expert (authors) opinions and research results, the team formalized their findings. This paper concludes, through model results and recommendations, that the top-ranking alternative green technology for this Oregon energy company is hydroelectric. Finally, situations are noted that may justify a change in technology selection from hydroelectric to wind, and eventually indifference between the remaining technologies of solar, biomass and stationary fuel cells.
Brown, Neil; Hallum, Don; Jaffal, Basel; Jhetson, Piyawan; and Wong, Elmer, "Green Energy Selection" (2005). Engineering and Technology Management Student Projects. 1203.