Cost/benefit analysis of an AMR system to reduce electricity theft and maximize revenues for Électricité du Liban
Raymond F. Ghajar and
Joseph Khalife
Applied Energy, 2003, vol. 76, issue 1-3, 25-37
Abstract:
One of the largest pitfalls for any distribution network is the level of energy losses suffered by the system. These losses fall into two categories: technical and non-technical. Technical losses depend largely on the physical properties of the network, while non-technical losses (sometimes a more significant form of losses) are the result of theft or fraud caused by meter tampering, false reading, illegal connections or unpaid bills. In Lebanon, the levels of total losses are around 50% resulting in an annual deficit of more than 225 million US dollars. Despite the frequent breakdowns of the system and evidently unsustainable financial-losses, political consideration makes the sustained pursuit of electricity thieves low on the list of priorities. To overcome these hurdles, the national electricity company in Lebanon, Électricité du Liban (EDL), studied the possibility of using automatic meter-reading (AMR) technology to modernize electricity metering, billing and collection, minimize fraud and maximize revenues. The results of this study and a cost/benefit analysis of the proposed system are summarized in this paper.
Keywords: Automatic; meter-reading; Energy; economics; and; management; Case; study (search for similar items in EconPapers)
Date: 2003
References: View complete reference list from CitEc
Citations: View citations in EconPapers (8)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306-2619(03)00044-8
Full text for ScienceDirect subscribers only
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:eee:appene:v:76:y:2003:i:1-3:p:25-37
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic
Access Statistics for this article
Applied Energy is currently edited by J. Yan
More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().