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Author:Biza, Solomon Nurga
Title:Balance sheet design and study for itemized consumption feedback and load monitoring
Publication type:Master's thesis
Publication year:2010
Pages:vi + 45 s. + liitt. 19      Language:   eng
Department/School:Elektroniikan, tietoliikenteen ja automaation tiedekunta
Main subject:Sähköverkot ja suurjännitetekniikka   (S-18)
Supervisor:Lehtonen, Matti
Instructor:
Electronic version URL: http://urn.fi/URN:NBN:fi:aalto-201203151575
OEVS:
Electronic archive copy is available via Aalto Thesis Database.
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Location:P1 Ark Aalto  673   | Archive
Keywords:feedback
consumption
load monitoring
dissaggregation
cost
Abstract (eng): The importance of consumption feedback is in making energy more visible and open to understanding and control.

The objective of this thesis study is to assess the potential of developing itemized consumption feedback through load disaggregation and propose an effective feedback presentation method to display the energy consumption and cost profile of electrical devices in a household.
The feedback platform is planned to be a web based balance sheet which mainly utilizes device fingerprinting (Identification) results.

For the entire study, a two phase research approach was followed.
The first phase is experimental, which focused on extensive electrical measurements and data analysis for a broader load classification which can be provided as an input for further load disaggregation techniques.
The second phase gives emphasis to the need for developing a methodology to use the analysis results.

One path of the methodologies studied further techniques of device fingerprinting and load classification, while the other branch of the study, which is presented here, deals with developing a feedback presentation method for calculating and providing disaggregated consumption and cost information.
The measurement phase was conducted for several household appliances with a power quality analyzer (TOPAS instrument) and the data and electrical parameters were studied.
MySQL 5.1.31 is used to build a database used by the balance sheet, Apache 2.2 is implemented as a server and PHP script language is applied for data processing adding dynamic features to the web based balance sheet.
External data analysis was carried out using Microsoft Excel and Matlab tools as required.
ED:2011-01-18
INSSI record number: 41495
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