Evaluating Energy Efficiency

Ibrahim Iskin () and Tugrul U. Daim ()
Additional contact information
Ibrahim Iskin: Portland State University
Tugrul U. Daim: Portland State University

Chapter Chapter 11 in Policies and Programs for Sustainable Energy Innovations, 2015, pp 277-356 from Springer

Abstract: Abstract Nature of resource planning has changed dramatically since 1970s due to increased diversity in resource options such as renewable alternatives, demand-side management, space conditioning, cogeneration of heat and electricity in industrial applications, and deregulation of the energy market. Along with that new objectives have been added to the utilities’ decision-making processes beyond cost minimization (Hobbs, Eur. J. Oper. Res., 83:1–20, 1995). Moreover; technological development, instability in fuel markets, and government regulations are taking place faster than ever before and as a result complexity and uncertainty involved in decision-making practices have become increasingly significant. This chapter provides an approach based on hierarchical decision modeling to consider new factors in evaluating energy efficiency technologies.

Keywords: Energy Efficiency; Expert Judgment; Decision Alternative; Interpretive Structural Modeling; Energy Efficiency Measure (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:innchp:978-3-319-16033-7_11

Ordering information: This item can be ordered from
http://www.springer.com/9783319160337

DOI: 10.1007/978-3-319-16033-7_11

Access Statistics for this chapter

More chapters in Innovation, Technology, and Knowledge Management from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().