Abstract
This chapter introduces a hierarchical decision modeling framework for energy efficiency program planning in electric utilities. The proposed approach focuses on assessment of emerging energy efficiency technologies and is proposed to bridge the gap between technology screening and cost/benefit evaluation practices. The proposed approach is expected to identify emerging technology alternatives, which have the highest potential to pass cost/benefit ratio testing procedures, and contribute to effectiveness of decision practices in energy efficiency program planning. Proposed framework also incorporates a sensitivity analysis for testing the robustness of decisions under varying scenarios in an attempt to enable more informed decision-making practices. Proposed framework was applied for the case of Northwest USA, and results of the case application and future research initiatives are presented.
A prior revision of this chapter was included in the conference proceedings of Portland International Conference on Management of Engineering and Technology, 2014.
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Iskin, I., Daim, T.U. (2016). Technology Assessment: Energy Efficiency Programs in Pacific Northwest. In: Daim, T. (eds) Hierarchical Decision Modeling. Innovation, Technology, and Knowledge Management. Springer, Cham. https://doi.org/10.1007/978-3-319-18558-3_2
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DOI: https://doi.org/10.1007/978-3-319-18558-3_2
Publisher Name: Springer, Cham
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