
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
Scarce data: off‐grid households in Australia

In Australia, as elsewhere, household electricity infrastructure is changing: over one-fifth of Australian households have rooftop solar photovoltaics (PV), and there is growing opportunity to purchase household battery storage. Australia has the highest proportion of distributed (household-level) solar PV worldwide. There is, however, concern from Australian utilities and governments that increasing numbers of households will opt to leave the centralised electricity grid, as it becomes technically feasible and cost-effective for them to do so. In this paper we explore the motivations and decision making of off-grid households, through a case study of the State of Tasmania, Australia. Our empirical research involved identifying existing sources of off-grid data and undertaking a survey and interviews of off-grid households. We conceptualise off-grid households as an instance of scarce data – a contrast to the concept of big data. Drawing on insights from critical data studies, we show how scarce data can act as a barrier to effective governance, with energy policy making skewed towards governing data-rich policy areas.
- University of Tasmania Australia
- University of Tasmania Australia
off-grid, Australia, households, 338, electricity sector innovation, big data, scarce data
off-grid, Australia, households, 338, electricity sector innovation, big data, scarce data
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).10 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
