Applications of Data Envelopment Analysis (DEA) for Optimizing Energy Consumptions
Zahra Mohtashami (),
Majid Khedmati () and
Kourosh Eshghi ()
Additional contact information
Zahra Mohtashami: Sharif University of Technology
Majid Khedmati: Sharif University of Technology
Kourosh Eshghi: Sharif University of Technology
A chapter in Handbook of Smart Energy Systems, 2023, pp 1435-1475 from Springer
Abstract:
Abstract The necessity of optimizing energy consumption, which originates from the limitation of energy resources and their growing consumption in societies, has led an increasing attention toward energy conservation. Among various approaches for optimizing energy consumption, Data Envelopment Analysis (DEA) is one which is used in different applications including agricultural production, dairy farms, industries, renewable energy systems, non-renewable energy systems, transportation systems, airlines, etc. Different DEA techniques have been used by researchers in the aforementioned applications for measuring energy efficiency, detecting inefficient DMUs, and improving inefficient sectors for optimizing energy consumption and reducing undesirable environmental impacts caused by extensive use of energy resources. Therefore, in this article we investigated 83 papers among the years 2010–2020 for providing a comprehensive literature review about applications of DEA for energy consumption optimization while investigating distribution of publications based on fields of study, DEA models, region of case studies, journals, year of publications, purpose, results, etc. In this chapter, we provided a context for simplifying the accessibility to previous researches on DEA applications in energy consumption optimization, as well as presenting a comprehensive discussion about distribution of publications based on the publication year, regions of papers’ case studies, journals, applications of DEA for energy optimization, and different types of applied DEA models. Regarding to these investigations, we presented an insight about the potential of DEA in energy optimization for both policy makers and researchers.
Keywords: DEA; Optimizing energy consumption; Energy efficiency; Efficiency measurement (search for similar items in EconPapers)
Date: 2023
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:sprchp:978-3-030-97940-9_49
Ordering information: This item can be ordered from
http://www.springer.com/9783030979409
DOI: 10.1007/978-3-030-97940-9_49
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().