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New opportunities provided by the Swedish electricity meter reform
Mälardalens högskola, Akademin för hållbar samhälls- och teknikutveckling. (PRO)ORCID-id: 0000-0003-4589-7045
2010 (engelsk)Doktoravhandling, med artikler (Annet vitenskapelig)
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.

sted, utgiver, år, opplag, sider
Västerås, 2010.
Serie
Mälardalen University Press Dissertations, ISSN 1651-4238 ; 82
Emneord [en]
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
HSV kategori
Forskningsprogram
energi- och miljöteknik
Identifikatorer
URN: urn:nbn:se:mdh:diva-7852ISBN: 978-91-86135-54-6 (tryckt)OAI: oai:DiVA.org:mdh-7852DiVA, id: diva2:291783
Disputas
2010-02-24, Kappa, Mälardalens högskola, Västerås, 10:00 (engelsk)
Opponent
Veileder
Tilgjengelig fra: 2010-02-08 Laget: 2010-02-03 Sist oppdatert: 2014-12-03bibliografisk kontrollert
Delarbeid
1. A Web-Based Dynamic Simulator For Applications In Process Industry And For Education.
Åpne denne publikasjonen i ny fane eller vindu >>A Web-Based Dynamic Simulator For Applications In Process Industry And For Education.
2002 (engelsk)Inngår i: Proceedings of the 43rd Conference on Simulation and Modelling: SIMS 2002, 2002, s. 151-158Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

This paper presents a project with a purpose to develop an energy process simulator with a Web-based interface. The advantage with a Web-based interface is that the user can access simulation tools with only a Web browser. The cost for any organisation would also be reduced due to smaller fees and less maintenance time as only a central server needs to be updated. The system architecture has been divided into three major parts; Graphical User Interface (GUI), storage of data and calculating applications. This object-oriented design has shown to be very useful due to its high flexibility. Two different pplications are described in the paper; one energy model used to simulate an energy process and one system with remote electricity data collection (both power and energy) and processing, both displaying the results in a Web-based GUI. The two applications have recently been evaluated with a promising result and will therefore form the basis for future research projects.

Emneord
web-based interface, simulator, automatic meter readings, amr
Identifikatorer
urn:nbn:se:mdh:diva-3148 (URN)952-5183-18-1 (ISBN)
Tilgjengelig fra: 2006-05-17 Laget: 2006-05-17 Sist oppdatert: 2013-12-04bibliografisk kontrollert
2. The Use of Automatic Meter Readings for a Demand-Based Tariff
Åpne denne publikasjonen i ny fane eller vindu >>The Use of Automatic Meter Readings for a Demand-Based Tariff
Vise andre…
2005 (engelsk)Inngår i: Proceedings of the 2005 IEEE/PES Transmission and Distribution Conference & Exhibition: Asia and Pacific, 2005, s. 1-6Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

Emneord
Demand-based pricing, demand-response, demand side management, load-based tariff, modelling electricity revenues
HSV kategori
Identifikatorer
urn:nbn:se:mdh:diva-3158 (URN)10.1109/TDC.2005.1547125 (DOI)2-s2.0-33746501379 (Scopus ID)9780780391147 (ISBN)
Konferanse
2005 IEEE/PES Transmission and DistributionConference and Exhibition - Asia and Pacific; Dalian; China; 15 August 2005 through 18 August 2005
Tilgjengelig fra: 2006-05-17 Laget: 2006-05-17 Sist oppdatert: 2014-06-26bibliografisk kontrollert
3. A method to refine electricity consumption data from automatic meter reading systems
Åpne denne publikasjonen i ny fane eller vindu >>A method to refine electricity consumption data from automatic meter reading systems
Vise andre…
2006 (engelsk)Inngår i: Proceedings of the 2006 International Conference on Power System Technology, IEEE , 2006, s. 1-6Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

In this work data from an AMR system delivering consumption data on a daily basis with an aggregated electricity consumption post combined with a maximum peak load within the period has been utilized. The paper suggests a method to create individual hour based daily consumption profiles and to increase the knowledge of the aggregated consumption patterns over the day. As a validation the method has been applied on rearranged data from an AMR system providing hour based metering series to regenerate the same consumption series. Implementing the method can provide consumption series that can be used to increase the accuracy e.g. when forecasting the electricity consumption for individual customers. The created consumption series can also be a valuable resource when estimating aggregated hour based profiles for different areas using a bottom-up approach.

sted, utgiver, år, opplag, sider
IEEE, 2006
Emneord
automatic meter reading, electricity, analyzing consumption data
HSV kategori
Forskningsprogram
energi- och miljöteknik
Identifikatorer
urn:nbn:se:mdh:diva-1636 (URN)10.1109/ICPST.2006.321634 (DOI)000245887905042 ()2-s2.0-43549083020 (Scopus ID)1-4244-0110-0 (ISBN)
Konferanse
2006 International Conference on Power System Technology, POWERCON 2006; Chongqing; 22 October 2006 through 26 October 2006
Tilgjengelig fra: 2008-11-11 Laget: 2008-11-11 Sist oppdatert: 2018-08-21bibliografisk kontrollert
4. Automatic meter reading provides opportunities for new prognosis and simulation methods
Åpne denne publikasjonen i ny fane eller vindu >>Automatic meter reading provides opportunities for new prognosis and simulation methods
2007 (engelsk)Inngår i: 2007 IEEE Lausanne POWERTECH, Proceedings, 2007, s. 2006-2011Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

The use of top-down models, for load forecasting purposes, has been the dominating method over the last decades. However, there is now a discussion regarding the performance of the top-down models, e.g. in situations with unusual weather conditions due to the lack of historical data. This paper considers an alternative bottom-up approach with a stronger relation to the laws of physics. Electricity companies in Sweden are installing automatic meter reading systems for their customers, and using the consumption data gives new possibilities when adapting the modeling parameters in a bottom-up model for each single customer. A method for analyzing individual consumption series is suggested, where different periods in time is used to divide and identify different parts of the electricity load; base load, heat load and household loads. A review of previous work is presented, and suggestions how to link the load analysis to construction parameters for an individual building is proposed.

Emneord
AMR, Automatic meter reading, bottom-up model, electricity load forecasting, end-use residential, customer single-family buildings
HSV kategori
Forskningsprogram
energi- och miljöteknik
Identifikatorer
urn:nbn:se:mdh:diva-9919 (URN)10.1109/PCT.2007.4538626 (DOI)000258730101116 ()2-s2.0-50849111707 (Scopus ID)978-1-4244-2189-3 (ISBN)
Konferanse
2007 IEEE Lausanne POWERTECH; Lausanne; 1 July 2007 through 5 July 2007
Tilgjengelig fra: 2008-11-11 Laget: 2008-11-11 Sist oppdatert: 2014-01-07bibliografisk kontrollert
5. Important parameters for prediction of power loads - a bottom-up approach utilizing measurements from an automatic meter reading system
Åpne denne publikasjonen i ny fane eller vindu >>Important parameters for prediction of power loads - a bottom-up approach utilizing measurements from an automatic meter reading system
2007 (engelsk)Inngår i: IEEE PES Power Africa 2007 Conference and Exposition, 2007, s. 1-7Konferansepaper, Publicerat paper (Fagfellevurdert)
Serie
IEEE PES PowerAfrica 2007 Conference and Exposition, PowerAfrica
Identifikatorer
urn:nbn:se:mdh:diva-1380 (URN)10.1109/PESAFR.2007.4498105 (DOI)000257092200047 ()2-s2.0-50649091557 (Scopus ID)978-1-4244-1477-2 (ISBN)
Tilgjengelig fra: 2008-10-16 Laget: 2008-10-16 Sist oppdatert: 2018-08-21bibliografisk kontrollert

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