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The smart meter and a smarter consumer: quantifying the benefits of smart meter implementation in the United States

Overview of attention for article published in BMC Chemistry, April 2012
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Title
The smart meter and a smarter consumer: quantifying the benefits of smart meter implementation in the United States
Published in
BMC Chemistry, April 2012
DOI 10.1186/1752-153x-6-s1-s5
Pubmed ID
Authors

Brendan Cook, Jerrome Gazzano, Zeynep Gunay, Lucas Hiller, Sakshi Mahajan, Aynur Taskan, Samra Vilogorac

Abstract

The electric grid in the United States has been suffering from underinvestment for years, and now faces pressing challenges from rising demand and deteriorating infrastructure. High congestion levels in transmission lines are greatly reducing the efficiency of electricity generation and distribution. In this paper, we assess the faults of the current electric grid and quantify the costs of maintaining the current system into the future. While the proposed "smart grid" contains many proposals to upgrade the ailing infrastructure of the electric grid, we argue that smart meter installation in each U.S. household will offer a significant reduction in peak demand on the current system. A smart meter is a device which monitors a household's electricity consumption in real-time, and has the ability to display real-time pricing in each household. We conclude that these devices will provide short-term and long-term benefits to utilities and consumers. The smart meter will enable utilities to closely monitor electricity consumption in real-time, while also allowing households to adjust electricity consumption in response to real-time price adjustments.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 1%
United States 1 1%
Unknown 68 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 20 29%
Student > Ph. D. Student 9 13%
Student > Bachelor 7 10%
Researcher 5 7%
Student > Postgraduate 4 6%
Other 6 9%
Unknown 19 27%
Readers by discipline Count As %
Engineering 16 23%
Business, Management and Accounting 10 14%
Computer Science 7 10%
Energy 5 7%
Environmental Science 4 6%
Other 10 14%
Unknown 18 26%