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Analysis of electricity supply data

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thesis
posted on 28.03.2022, 13:01 by John-Paul Blazevic
Determining the power consumption and switiching times of a building or households connected loads and appliances is crucial for energy analysis and optimisation, which is increasingly becoming more relevant in today's society due to the implementation of renewable technologies and soaring energy prices. This project looks to analyse current techniques for determining electrical load characteristics from an aggregate electrical source such as a building's electrical mains. In this project a test and simulation setup is constructed. Using a non-intrusive power metering device aggregate electrical power data is collected and analysed using the techniques explored to determine individual load characteristics and to autonomously determine when individual loads are switched on and off. This is done so that individual appliances' power consumption can be estimated, or appliance switching times used for automation purposes.

History

Table of Contents

1. Introduction -- 2. Current approaches to NILM and background information -- 3. State changes in power space and power transient features -- 4. Technologies and hardware used -- 5. NILM system design and implementation -- 6. Testing and discussion -- 7. Conclusions and future work -- 8. Abbreviations -- Appendix -- Bibliography.

Notes

Empirical thesis. Bibliography: pages 89-91

Awarding Institution

Macquarie University

Degree Type

Thesis bachelor honours

Degree

BSc (Hons), Macquarie University, Faculty of Science and Engineering, School of Engineering

Department, Centre or School

School of Engineering

Year of Award

2017

Principal Supervisor

Graham Town

Rights

Copyright John-Paul Blazevic 2017 Copyright disclaimer: http://mq.edu.au/library/copyright

Language

English

Extent

1 online resource (xvii, 91 pages diagrams, graphs, tables)

Former Identifiers

mq:70391 http://hdl.handle.net/1959.14/1263292

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