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The Use of Automatic Meter Readings for a Demand-Based Tariff
Mälardalen University, Department of Public Technology. (Load and energy management group)ORCID iD: 0000-0003-4589-7045
Mälardalen University, Department of Public Technology. (Load and energy management group)
Mälardalen University, Department of Public Technology. (Load and energy management group)ORCID iD: 0000-0002-3485-5440
Smedjebacken Energi Nät AB.
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2005 (English)In: Proceedings of the 2005 IEEE/PES Transmission and Distribution Conference & Exhibition: Asia and Pacific, 2005, 1-6 p.Conference paper, Published paper (Refereed)
Abstract [en]

A determining factor for a successful implementation of a demand-based pricing model or control strategy in electricity markets is not only the effects of peak load management, but also the financial consequences for the utility operator and the end customer. In this economic modelling a subset of 460 residential customers has been implemented in a software tool analysing the economic outcome of three different tariffs. Two demand-based tariffs were investigated and compared with a traditional energy-based tariff. The demand-based tariffs transform the flat income curve into a more complex, due to a stronger economic dependency to the system peak loads. The demand-based tariffs move the revenues to the high-peak period, November – March, and the utility operator gains a good matching between system peaks and distribution of incomes.

Place, publisher, year, edition, pages
2005. 1-6 p.
Keyword [en]
Demand-based pricing, demand-response, demand side management, load-based tariff, modelling electricity revenues
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:mdh:diva-3158DOI: 10.1109/TDC.2005.1547125Scopus ID: 2-s2.0-33746501379ISBN: 9780780391147 (print)OAI: oai:DiVA.org:mdh-3158DiVA: diva2:115822
Conference
2005 IEEE/PES Transmission and DistributionConference and Exhibition - Asia and Pacific; Dalian; China; 15 August 2005 through 18 August 2005
Available from: 2006-05-17 Created: 2006-05-17 Last updated: 2014-06-26Bibliographically approved
In thesis
1. New opportunities provided by the Swedish electricity meter reform
Open this publication in new window or tab >>New opportunities provided by the Swedish electricity meter reform
2010 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The reduction of the impact of energy consumption is a priority issue and a major challenge that concerns every country in the world. This is a complex task that needs to be tackled from several angles in the search for areas where optimizations and savings can be made. In Sweden an electricity meter reading reform was fully implemented by 1st July 2009, including 5.2 million customers, and this created new set of circumstances in the Swedish electricity market. The main purpose of this thesis work has been to investigate the possibilities of increasing the use of remote meter readings. Two research questions have been: “How can the electricity market benefit from remote collected meter readings?” and “Where do barriers appear when utilizing meter readings?”. The work started in 2000/2001 to study Internet based applications that visualize electricity consumption patterns. Over these years the daily internet users have increased from approximately 40 % to 73 % and new markets for web-based applications have evolved. These solutions can be important in the forthcoming years as energy portals that hold new energy services. Experiences from new installations indicate that at least interested customers do submit information concerning building and household properties through internet. Still, it is challenging to enable the majority of customers to take part in these new solutions. It may therefore be important to remind customers on a regular basis in order maintain the frequency using the application and to make it habitual. Further the introduction of demand-based pricing allows electricity distribution utilities to achieve a stronger correlation between peak loads in the distribution network area and their revenues.

Place, publisher, year, edition, pages
Västerås: , 2010
Series
Mälardalen University Press Dissertations, ISSN 1651-4238 ; 82
Keyword
automatic meter reading (AMR), advanced metering infrastructure (AMI), peak load, consumption patterns, visualize, consumption feed-back, added values, demand-based, tariffs, bottom-up modeling, web-based applications
National Category
Engineering and Technology
Research subject
Energy- and Environmental Engineering
Identifiers
urn:nbn:se:mdh:diva-7852 (URN)978-91-86135-54-6 (ISBN)
Public defence
2010-02-24, Kappa, Mälardalens högskola, Västerås, 10:00 (English)
Opponent
Supervisors
Available from: 2010-02-08 Created: 2010-02-03 Last updated: 2014-12-03Bibliographically approved

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Wallin, FredrikBartusch, CajsaThorin, EvaDahlquist, Erik
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CiteExportLink to record
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Citation style
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