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Towards the assessment of a residential electric storage system: analysis of Canadian residential electricity use and the development of a lithium-ion battery model

Posted on:2011-12-27Degree:M.A.ScType:Thesis
University:Carleton University (Canada)Candidate:Saldanha, NeilFull Text:PDF
GTID:2442390002961362Subject:Engineering
Abstract/Summary:
Peak electricity demand from residential houses leads to increased greenhouse gas emissions from inefficient electricity production. The coincidental use of household appliances and lighting, known as non-HVAC loads, and air-conditioners creates periods of increased electricity demand on utility providers in Ontario. This leads to electricity production from fuels such as coal that produce excessive greenhouse gas emissions.;A lithium-ion battery model was then developed in the building simulation program ESP-r. The model accounts for changes in performance due to varying temperature and current, and addresses long-term degradation over a battery's life cycle.;The model was calibrated and validated using simulated data from the National Research Council's Institute for Chemical Process and Environmental Technology. The functionality of the lithium-ion model simulated in a household and coupled with a Stirling engine micro-cogeneration model is demonstrated.;Following the implementation of an optimized controller, a lithium-ion battery simulated with a micro-cogeneration device can be sized and fully assessed. The research in this document provides the foundation for this assessment.;To assess the potential of a micro-cogeneration device coupled with lithium-ion battery electricity storage to reduce peak electricity demand using building simulation, residential electricity use of Canadian houses must be accurately represented. Thus, electricity use from twelve houses in the Ottawa, Ontario area was collected over a one year period, beginning in the summer of 2009. The project measured and analyzed non-HVAC and space cooling electricity use at one-minute intervals. The daily non-HVAC electricity profiles measured in this study show more variation and higher occurrences of peak loads compared to previously developed synthetically generated profiles. Both non-HVAC and space cooling profiles show large variations in electricity consumption between households. The relationship between daily space cooling electricity consumption and outdoor temperature is shown.
Keywords/Search Tags:Electricity, Lithium-ion battery, Residential, Greenhouse gas emissions
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